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JOB DESCRIPTION Bathhouse is seeking a proactive, skilled, and hands-on Facilities Engineer to help keep our spaces safe, functional, and beautifully maintained. This role is responsible for supporting the day-to-day upkeep, repair, and preventative maintenance of our building — helping ensure guests have a seamless, high-quality experience every time they visit. RESPONSIBILITES • Perform routine inspections of interior and exterior areas to identify maintenance needs., • Conduct preventative maintenance on systems, including HVAC, pools, saunas, steam, plumbing, and kitchen equipment., • Troubleshoot and complete repair projects efficiently and safely., • Maintain clean, organized, and safe back-of-house and mechanical spaces., • Respond promptly to maintenance requests and communicate timelines clearly., • Track and manage repair tickets and update work logs accurately., • Assist with equipment setup, replacements, and improvement projects., • Support safety procedures, including employee safety training and emergency protocols., • Maintain inventory of tools, supplies, and parts; notify leadership when restocking is needed., • Collaborate with operations, housekeeping, and hospitality teams to support facility standards. QUALIFICATIONS • Apprenticeship experience in trades such as plumbing, carpentry, electrical work, etc., • ~4 years of experience in facilities maintenance, building operations, or a similar role (hospitality or spa environment a plus)., • Comfortable using hand tools, power tools, and diagnostic equipment., • Strong troubleshooting and problem-solving skills., • Able to work independently and prioritize tasks without constant supervision., • Strong communication skills and a team-oriented attitude., • Ability to lift and carry 50+ lbs and perform essential physical duties., • Certifications such as Certified Pool Operator, CPR, and First Aid are a plus (or willingness to obtain)., • Ability to work a flexible schedule, including evenings, weekends, and holidays., • Comfortable working in a fast-paced, high-touch environment with a hands-on approach. COMPENSATION & BENEFITS • Hourly Rate: $30 - $32/hour., • Medical, Vision, and Dental insurance available for full-time employees., • Complimentary unlimited admission to Bathhouse., • Three "Plus One" guest passes per month., • 50% discount on services, retail products, and restaurant offerings.

Job Description Position Title: Resident Engineer Location: Hoboken, New Jersey, United States Department: Resident Engineer Description: H&H Construction Services is offering exciting career opportunities for Resident Engineers with a Professional Engineer License. We currently have multiple inspection projects for movable and fixed bridges in Northern, Central and Southern New Jersey. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you'll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities • Supervise on-site activities of the project, • Ensure compliance with specifications/ construction schedule and prepare progress reports, • Ensure optimal working of construction/ engineering personnel and maintain accurate field notes, • Review monthly contractor invoices for payment, • Organize and maintain all project shop drawings, RFIs, and other project documents, • Ensure contractor compliance with health and safety policies Requirements: • Minimum of five years of bridge/highway experience, • Working knowledge of bridge and highway construction methods, materials, standards, and specifications, • NICET, ACI, SAT and Traffic Control certifications (preferred), • 10-hour OSHA safety training certification, • NJDOT and NJTA experience (preferred), • Good writing and communication skills Benefits: We offer a professional work environment, competitive salary, benefits package and 401(k). EOE M/F/DISABILITY/VETS PI97623c9cd37f-25405-32051499

Description We are seeking a Lead Transmission Line Engineer who will manage a collaborative and dynamic team working in a fast-paced environment, solving challenging problems involved with electric transmission. The successful candidate will serve as a Lead Engineer and Technical Project Manager on high voltage electric transmission line design projects of overhead and underground systems for some of the largest utilities in the country as well as regional utilities. The candidate will apply NESC, ASCE, ACI, NEC, and other applicable standards in the engineering and design of all types of capital and maintenance projects from 34.5 kV to 765 kV. Additionally, the candidate will direct a team of engineers that regularly perform engineering analyses, PLS-CADD modeling, structure loading calculations, foundation design using MFAD and/or LPILE, design structure framing and hardware assemblies, draft plans and specifications, and prepare bill of materials and procurement documents across project planning, engineering, environmental, permitting, and construction management phases. The successful candidate can expect a fast-paced, diverse work environment and flexible work hours/work arrangements as well as a manager and peers who will encourage career development and growth! In addition, the successful candidate will be involved in applying AI, automation, and digital design platforms to streamline grid modernization and increase design efficiency. This is a senior leadership role with primary responsibilities in client relations, staff management, proposal development, scope creation/change, project execution, and new business capture for the team’s full book of work. The successful candidate will be able to communicate clear expectations, goals, and vision; manage the performance of direct reports; motivate, coach, and mentor skilled professionals; and appropriately delegate project work. The candidate must be capable of managing collaboration and a positive team culture to achieve successful results. Location: This position is a hybrid work position with the potential for remote work for the right candidate located in Pennsylvania, Ohio, or West Virginia. Relocation assistance may be available for qualified candidates. The Challenge: • Direct multiple design teams simultaneously executing various projects and programs for multiple clients., • Develop a team of engineers by training, coaching, and nurturing Leidos’ engineering talent., • Supervise staff by approving timesheets and running the annual performance review process., • Participate proactively as a member of the leadership team of the Transmission Line Section., • Create responses to RFPs, RFIs, and RFQs from clients for new work, including proposal creation and definition of scope of work., • Possess a growth mindset to foster creative problem solving for our clients’ most complex issues., • Promote continuous improvement to develop streamlined processes and tools that facilitate improvements to departmental technical resources via innovation and automation., • Delegate tasks to staff, forecast and plan their future workload, and run recruiting activities to support aggressive growth goals., • Drive the quality control process for the execution team to ensure the highest level of quality in all deliverables., • Liaise with clients to maximize affinity, facilitate business development growth, and foster long-term relationship building., • Manage portfolio health by leveraging Project Managers to independently drive and monitor scope, schedule, and budget. Accountability for schedule compliance requires high awareness and support from assigned Lead Engineers. What Sets You Apart (Required): • Bachelor’s degree in Civil, preferred, or Mechanical Engineering with eight plus (8+) years of relevant experience in the design of high voltage electric utility transmission systems., • Expertise in PLS-CADD and PLS-POLE., • Engineer In Training (EIT) certification., • Work effectively in a team environment; can also work independently., • Track record of outstanding communication to serve as primary point of contact for existing and perspective clients., • Business acumen with a record of understanding and meeting key project performance metrics., • Working onsite in a Leidos or client office is a possibility; some periodic travel may be required., • Ability and passion to develop staff through mentoring. Favorable If You Have: • Two plus (2+) years of supervising staff., • M.S. degree in Structural Engineering., • Experience with TOWER., • P.E. certification or the ability to achieve P.E Certification in 6 months., • Experience with LPILE or FAD, Mathcad, AutoCAD or MicroStation, and Geographic Information Systems (GIS) is a plus. Why Leidos: At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. We take care of our employees. Leidos seeks the best and the brightest, and in return, we invest in you, with an eye on your future, through career advancement, growth opportunities, and continuous improvement via mentoring, formal and informal project management training and assistance with obtaining pertinent certifications. We challenge you to help solve some of the world’s toughest problems, and reward you with a welcoming culture that recognizes the importance of a strong work/life balance, as well as competitive compensation and benefits. We believe that diversity and inclusion make us all better and offer the chance to have fun and make a difference. We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive, and ethical workplace. Our recognition as an industry leader is confirmed by the latest national rankings by Engineering News-Record (ENR) ranking Leidos within the Top 10 T&D Firms, and Top 10 Power Firms. If this sounds like the kind of environment where you can thrive, keep reading! Are you ready to make an impact? Begin your journey of a flourishing and meaningful career; share your resume with us today! PowerDelivery PDSTLINE If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. November 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

A well-established power distribution equipment manufacturer is seeking a Senior MV Applications & Estimating Lead with strong experience in medium voltage switchgear. This position reports directly to executive leadership and is responsible for the technical and commercial integrity of medium voltage quotations and pre-award reviews. Key Responsibilities • Review customer specifications, one-lines, and utility requirements (5kV–38kV typical range), • Develop compliant MV equipment solutions including switchgear, relays, protection schemes, metering, and control, • Interpret utility standards (PECO, ConEd, PSEG, etc.) and ensure designs meet approval requirements, • Coordinate protection philosophy (primary/backup relays, control power, interlocks, trip/close logic), • Lead estimating for 15kV and 38kV medium voltage switchgear projects, • Interpret engineer-driven Division 26 and utility specifications, • Develop compliance matrices, clarifications, and exclusions, • Identify and mitigate pre-award technical and commercial risk, • Review protection philosophy at a high level (SEL, GE, etc.), • Validate short circuit ratings, BIL requirements, arc-resistant specifications, and enclosure classifications, • Coordinate integration of OEM MV gear into sheltered aisle / outdoor assemblies, • Standardize MV spec review and quoting procedures, • Support negotiated projects in industrial, utility, and renewable environments, • Knowledge of PLC Control Systems is preferred Qualifications • 6–10+ years of medium voltage switchgear experience, • Direct experience with 15kV ANSI C37 / UL 1558 equipment required, • Exposure to 27kV / 38kV class gear preferred, • Strong background interpreting engineer-driven specifications, • Experience preparing detailed clarifications and exclusions, • Working knowledge of protection relays and MV system architecture, • Commercial awareness and disciplined risk assessment skills Compensation • Base Salary: $125,000 – $135,000, • Performance Bonus: 25–30% target, • Total Compensation: $160,000 – $180,000 potential Compensation will be aligned with experience level and MV exposure.

Position: Senior Semantic Engineer / Ontology Engineer Location: East Hanover, NJ (Hybrid - 3x/week onsite) Duration: 6 Months (extendable) DESCRIPTION: We are hiring a Senior Semantic Engineer / Ontology Engineer to lead the design of healthcare-grade ontologies and semantic layers that power trusted analytics, interoperable data products, and AI-ready knowledge systems. You will apply metrics-first semantic modeling and ontology engineering practices aligned to the principles such as clear semantics, reusable meaning, governance-by-design, and measurable business outcomes. You’ll work across RDF and property graph paradigms and Snowflake semantic layer. Key Responsibilities: • Design and evolve healthcare ontologies and semantic models to standardize meaning across domains (clinical, patient, provider, claims, access, quality, outcomes)., • Design data products that are AI-ready and leverage ontologies and semantic models Build metrics-first semantic layers: • Define canonical metric definitions, dimensions, hierarchies, and calculation rules., • Ensure metrics are explainable, auditable, and consistently implemented across products and teams., • Model knowledge in both RDF (RDFS/OWL) for formal semantics and interoperability., • Property graphs for traversal-heavy use cases and relationship analytics. Develop and maintain semantic artifacts: • Concept schemes, entity models, vocabularies, mappings, and documentation., • Alignment patterns between ontologies, data products, and downstream analytics/AI use cases. Implement semantic integration patterns: • Entity identity resolution, entity linking, terminology harmonization, and enrichment workflows. Partner with platform teams to operationalize semantics in Snowflake: • Enable semantic access patterns that support analytics and AI applications., • Contribute to solutions that leverage Snowflake Cortex for semantic enrichment and assisted discovery (within established governance constraints). Collaborate with governance and architecture stakeholders to embed: • Versioning, stewardship workflows, quality checks, and change management for semantic assets., • Guide best practices and mentor engineers/analysts on ontology engineering, graph modeling, and metrics-first design. Required Qualifications • 8+ years in semantic engineering, ontology engineering, knowledge graph development, or closely related roles., • Demonstrated experience in healthcare data domains (payer/provider, clinical, claims, RWE, quality, outcomes, etc.)., • Strong hands-on ontology engineering experience: RDF, RDFS, OWL, SPARQL and/or graph query experience, • Ontology modularization, alignment, and lifecycle management, • Experience with property graph modeling (e.g., Neo4j-style patterns) and translating between RDF and property graph representations when needed., • Proven delivery of a metrics-first approach:, • Canonical KPIs/metrics definitions, dimensional modeling alignment, semantic consistency across BI and data products., • Experience working with modern cloud data platforms, especially Snowflake, and exposure to Snowflake Cortex for AI-enabled workflows., • Strong stakeholder communication skills: able to translate clinical/business intent into precise semantic definitions and usable artifacts. Preferred Qualifications • Familiarity with healthcare interoperability and terminology standards (e.g., HL7/FHIR, SNOMED CT, LOINC, ICD-10) and how to map/align them to enterprise semantics., • Experience with semantic tooling and practices, validation rules, ontology testing, and CI/CD for semantic assets., • Experience deploying semantic context layers

About Company At ENNOVI we harness the power of two megatrends - electrification and AI - to help industries innovate at speed, operate smarter, and achieve sustainable growth. By combining these transformative forces with our global reach and best talent, we empower our customers to lead their markets and drive sustainable progress. From automotive to aerospace, consumer electronics, data storage, industrial, and medical markets, we help our customers achieve these megatrends by creating smarter, safer, and more sustainable solutions. We excel in developing high-performance, custom solutions that meet diverse technical needs, solve unique challenges, optimize performance, and adapt to evolving market demands. Our mission is to get customers to the future faster, from anywhere. Headquartered in Singapore, ENNOVI has a global presence across North America, Europe, SEA and China, where all its activities are socially responsible, with minimal environmental impact. Learn more at . Why Join Us At ENNOVI, we envision a future of electrification and innovation and strive to create an inspiring workplace where our employees are integral to shaping that future. We offer a dynamic, collaborative, and inclusive culture that encourages continuous learning, professional growth, and a sense of purpose. As a part of the ENNOVI team, employees experience the excitement of being at the forefront of cutting-edge technologies and contributing to a sustainable future. Our commitment to the transformation is epitomized by our five pillars: Speed, Innovation, Best Talent, Global Reach, and Sustainability. This entails navigating exponential market changes through agile structures, fostering innovation across all aspects of our business, strategically expanding our global footprint, championing sustainability initiatives and nurturing a winning team. Privacy Policy By applying to this job posting, you agree with and acknowledge our privacy policy. Job Summary The Manufacturing Engineer in Northvale is responsible for designing, implementing, and optimizing production processes to improve efficiency, reduce costs, and maintain quality. This person will be analyzing production data, managing production schedules, and developing new technologies. They will also ensure that products are manufactured effectively and meet quality standards. The Manufacturing Engineer will collaborate with their team and demonstrate ENNOVI’s values of accountability, teamwork, and integrity. Main Responsibilities • Improves manufacturing efficiency by analyzing and planning workflow, space requirements, and equipment layout., • Analyzing and controlling manufacturing costs, including material, labor, and production costs., • Identifying areas for process improvement and implementing changes to enhance efficiency and reduce waste., • Working with other engineers, designers, and production staff to achieve manufacturing goals., • Developing and implementing quality control procedures to ensure products meet defined standards., • Orchestrating all pre-launch build activities, including prototype, pilot, and validation runs, to ensure factory readiness and a "non-event" transition to full-volume production for the customer. Qualifications • Bachelor's degree in engineering, quality, or related technical discipline., • Minimum of 3 years in Manufacturing Engineering, • Proven hands-on experience with injection molding and/or metal stamping is required., • High-stakes Automotive industry experience is a major plus., • A tactical ability to diagnose and neutralize complex technical issues on the production floor., • Ability to identify and solve technical problems related to manufacturing processes., • Sharp analytical skills to translate raw data into actionable manufacturing trends and decisions., • Ability to manage and control manufacturing costs., • Great attention to detail, organizational skills, and ability to meet deadlines., • Can lift up to 25 lbs

Data Engineer | Leading Global Market Maker | NYC We're hiring a Data Engineer on behalf of one of the world's most respected proprietary trading and market-making firms — known for its rigorous, intellectually driven culture and best-in-class technology infrastructure. This is a rare opportunity to work at the intersection of high-performance data systems and financial markets, building the pipelines and platforms that power critical trading and research workflows. What You'll Be Doing: • Designing and maintaining large-scale data pipelines and ETL/ELT workflows, • Building reliable, low-latency data infrastructure to support trading, research, and risk systems, • Collaborating closely with quants, traders, and engineers to ensure clean, accessible, and timely data, • Improving data quality, observability, and governance across the stack What They're Looking For: • Strong foundation in data engineering — Python, SQL, and distributed systems, • Experience with large-scale data platforms (Spark, Kafka, Airflow, or similar), • Comfort in a fast-paced, high-ownership environment, • Financial services or trading firm experience a plus, but not required, • Degree in CS, Engineering, Math, or a related quantitative field NYC Only. No C2C.

About Casa Cipriani: Casa Cipriani is a five star luxury hotel, private members-only club, and distinguished event venue housed within the iconic Battery Maritime Building in New York City. Combining timeless elegance with modern comfort, Casa Cipriani is dedicated to offering exceptional service, craftsmanship, and attention to detail in every aspect of the guest and member experience. POSITION PURPOSE: The Lead Engineer is a senior technical and operational leader within the Engineering Department. This role is responsible for the performance, reliability, and integrity of critical building systems while providing shift-level leadership and direction to the Engineering team. The Lead Engineer applies advanced technical knowledge, oversees complex system troubleshooting, helps plan daily engineering operations, and collaborates closely with the Director of Engineering to ensure the property’s mechanical, electrical, HVAC, plumbing, and life-safety systems operate seamlessly in a luxury hospitality environment. The ideal candidate combines hands-on technical expertise, leadership capability, and operational judgment to support a five-star property where uptime, safety, and guest comfort are non-negotiable. ESSENTIAL FUNCTIONS AND DUTIES: • Perform advanced diagnostics, troubleshooting, and repair of critical building systems, including HVAC, electrical distribution, plumbing, mechanical, and life-safety systems, • Monitor performance of building infrastructure and proactively address system deficiencies before guest impact, • Execute and support a structured preventive maintenance program for major equipment and systems, • Support system controls, automation interfaces, and equipment performance optimization, • Coordinate with licensed trades and external vendors on specialized repairs and technical projects, • Support event and club operations requiring technical coordination of power, lighting, climate control, and infrastructure needs, • Maintain engineering documentation, work order records, and system logs (e.g., HotSOS) • Identify and escalate capital repair needs, system risks, and long-term infrastructure improvements, • Serve as shift lead for the Engineering team, ensuring coverage, task delegation, and work quality, • Assist in planning daily engineering priorities in collaboration with the Director of Engineering • Guide and mentor Engineers on technical procedures, safety standards, and quality expectations, • Review work orders for urgency, operational impact, and technical complexity, • Support scheduling coordination and shift coverage planning, • Act as a liaison between Engineering and operational departments regarding system performance and technical needs, • Support tool, parts, and inventory oversight for operational readiness, • Participate in facility upgrades, system improvements, and engineering projects Safety & Standards, • Ensure compliance with all building, safety, fire, and environmental standards, • Promote a strong culture of safety and professional engineering practices, • Immediately report system failures, hazards, or compliance concerns, • Uphold Casa Cipriani’s standards of professionalism, discretion, and service excellence KNOWLEDGE, EXPERIENCE AND SKILLS: • High school diploma required; technical school or trade certification preferred, • Minimum 4+ years of engineering experience in hotel, luxury residential, or commercial facilities, • Strong technical background in HVAC, electrical, plumbing, and mechanical systems, • Experience serving in a lead, senior, or supervisory engineering capacity preferred, • Ability to troubleshoot complex building systems independently, • Strong communication and team leadership skills, • Flexible schedule including evenings, weekends, and holidays, • OSHA certification, EPA certification, or trade licensing strongly preferred, • Attention to Detail: Maintains property aesthetics consistent with a five-star standard. • Professionalism: Represents Casa Cipriani’s luxury brand through conduct and presentation., • Accountability: Takes ownership of work assignments and follows through with precision. • Team Collaboration: Works effectively with Housekeeping, Front Office, Food & Beverage, and Banquets teams., • Guest Focus: Responds promptly and courteously to guest and member needs. PHYSICAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION: • Ability to walk, stand, bend, and perform maintenance tasks for extended periods., • Ability to climb ladders, stoop, squat, and work in confined spaces., • Must be able to push/pull carts or equipment up to 250 lbs., • Ability to lift up to 50 lbs. safely and repeatedly., • Ability to work in varying temperature and environmental conditions., • Manual dexterity and visual acuity for detailed repair work. INTENT AND FUNCTION OF JOB DESCRIPTIONS: All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Cipriani is an equal opportunity employer.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role As an AV Field Engineer, you will be responsible for overseeing the commissioning, staging, trouble shooting of audio-visual systems. This position will also provide technical leadership for the integration of complex AV solutions. Travel Requirements: This is a hybrid role is mixed with both remote, in office and onsite duties. In this role you may be expected to travel to client locations to carry out specific job functions, such as consultations, project implementation, troubleshooting and other job specific tasks. Responsibilities include: • The AV Field Engineer is charged with the responsibility of providing complete, full functional integrated audio-visual systems., • The Field Engineer position has two main focal points: Staging and Commissioning systems in the field to the point that these systems are ready for client sign off., • Interfaces with Project Manager, Solutions Architect, and client contacts., • Responsible for reviewing CAD documentation for staging and final mark up for record drawings., • Responsible for IP configuration of all AV devices residing on a network, • Responsible for filling out IP tables and storing these on the project server, • Responsible for communicating status updates to Manager, • Advanced capabilities for audio system setup and gain structure, • Advanced capabilities for video system setup, • Advanced capabilities for troubleshooting, • Responsible for managing versions and storing final commissioning documentation, • Works with the programmer to load, test, and troubleshoot code, • Assists installation technicians with field questions and clarifications, • Responsible for completing commissioning checklist and final documentation, • Responsible for rack testing and escalating and resolving issues with equipment, • Responsible for field testing and escalating and resolving issues with equipment and programs, • Maintain knowledge of vendor partner support systems for technical support, • Provide assistance to service technicians, • Responsible for continuous improvement on delivery and commissioning process and documentation, • Provide training on AV systems to clients, • Must be able to work well in a team environment, • Commercial worksites and office environment, • Travel to client project sites as required. Required Skills and Professional Experience • 5+ years of experience in AV Solution Implementation / Integration, • Bachelor's degree or equivalent experience and/or military experience preferred, • Avixa CTS-I Certification is preferred, • A thorough, demonstrable understanding of AV systems integration techniques, • Skilled in the programming of audio DSP units from multiple vendors, • Skilled in the loading of control system code and user interfaces, • Experience working with AV programmers to load code and commission systems, • Understands basic IP networking, • Experience with a variety of Audio Video products, • Typical manufacturers include but not limited to: Crestron, Cisco, Biamp, Extron, QSC, Shure, Poly/HP, Barco, MTR solutions, Samsung, LG, Planar, Vaddio, Sennheiser, • Experience with Collaboration platforms Required and can include: MS Teams, Cisco WebEx, Zoom, Google Meet, • Must meet safe driving policy criteria to be an active company vehicle driver, • Valid Driver's License required, • Travel required - Up to 15% Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Network Engineer to join our team to support our client base in (Carolinas) region. This individual will lead small to large projects on their own or as part of a team, which includes planning, design, and implementation of complex network and security engagements. This is a consultative role providing network engineering services on project work and effectively managing the implementation process from design to customer acceptance. Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities include: • Primary responsibilities include performing project-based engineering, design, staging, installation, validation, testing, and troubleshooting of data/security networks, • Lead complex, large-scale Network and Security projects, • Create low-level detailed designs that align with the business strategy, the customer's budget, and operational support capabilities., • Network discoveries, • Perform Network and Security Assessments, • Presenting documentation and engagement deliverables to customers, • Collaborating as part of a multi-functional team with Sales, Pre-Sales, Project Management, and other delivery/engineering resources, • Trouble resolution of complex issues and assisting team members in solving problems with their deployments., • Working with junior members of the engineering team to successfully implement secure network solutions, • Experienced expert with complex multi-protocol routing and switching solutions, • Various security parameters and harden access to devices, • Core Routing and Switching platforms with a focus on design, configuration, and troubleshooting using Cisco Best Practices, • Network design and applications, including designing IP addressing, • OSPF, BGP, EIGRP. Redistribution of protocols and loop prevention, • TCP/IP protocol stack, TCP/IP headers and packets, the OSI model, and commonly used TCP/UDP ports and associated services, • Strong level in routing and switching troubleshooting, • Solid verbal and written communication skills, • Bachelor's Degree or equivalent experience and/or military experience, • Cloud Networking Experience, • AWS, Azure, GCP in Networking context, • Aviatrix, • Experienced deploying at least one SDWAN Solution with Viptela, Silverpeak, or Palo Prisma SDWAN, • Cisco ISE, • Experienced in implementing security solutions such as:, • Palo Alto Networks Product Portfolio, • Panorama, • Prisma Access, • Prisma Cloud, • Cisco Security Product Portfolio, • Firepower / FTD Firewalls, Meraki MX: Configuration, tuning, troubleshooting, • FMC Management, • Fortinet Product Portfolio, • FortiGate FWs, Forti Manager/Forti Analyzer, • Arista Networking solutions, including Cloud Vision, • Aruba Product Suite, • Experience with Aruba CX and Aruba OS software, • VSX and VSF technologies, • High availability configurations, • Automation / Scripting: Python, EMM and TCL, • Active Cisco certification; CCNP, CCIE Preferred, • Active Palo Alto certification; PCNSA, PCCSE, PCNSE Preferred, • 5+ years of related project implementation experience. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Required Skills & Experience: • Bachelor’s degree in Mechanical, Electrical, Nuclear, or related Engineering, • 6–8+ years in a regulated industrial environment: o Power plants, steam plants, utilities, industrial energy systems, or nuclear • Strong ability to: o Read electrical schematics/drawings o Solve complex engineering problems independently o Review design documents and evaluate technical options o Communicate technical decisions clearly • Experience leading multiple projects and communicate effectively with stakeholders Nice to Have Skills & Experience: • Experience in steam plants, district energy, or power generation, • P.E. license (or progress toward one), • Experience with system upgrades, equipment replacement projects, or vendor design review, • Experience presenting to regulators or senior leadership, • Nuclear industry experience (valued for regulatory discipline, not required) Job Description: The Senior Engineer is the technical authority for steam plant systems. They evaluate equipment issues, make engineering decisions, support capital projects, and ensure safe, reliable, compliant plant operation. This role requires someone who can independently analyze technical problems and clearly justify recommendations. This is a regulated industrial engineering role, not a technician role. Candidates must have strong engineering judgment, experience with large industrial systems, and the ability to work across Operations, Maintenance, and Project Management. Key Responsibilities: Engineering Ownership • Serve as the technical decision maker for plant systems and equipment, • Evaluate failures, recommend repair/replace/modify solutions, • Review engineering analyses, vendor drawings, specifications, and bid packages, • Provide engineering direction for capital projects and system upgrades System Support • Apply mechanical/electrical engineering skills to boilers, turbines, pumps, and high pressure steam systems, • Read and interpret electrical and mechanical schematics, • Ensure compliance with codes, standards, and regulatory requirements Cross Functional Work • Partner with Operations, Maintenance, PMs, and contractors, • Support troubleshooting, outages, inspections, and system modifications, • Communicate technical recommendations clearly to mixed audiences Regulatory & Documentation • Support audits, inspections, and regulatory interactions, • Maintain engineering documentation and technical justifications

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Professional Services firm is seeking a Field Engineer to join their team. The firm designs, builds, and manages technology systems and infrastructure for workplaces, events, and organizations. Their focus is on creating reliable, highquality tech environments-from network cabling to AV systems to managed IT support-primarily for corporate spaces. rack and stack, cat5, cat6, vendor relationship rack and stack,cat5,cat6,vendor relationship -First-line physical support for Logitech RallyBars, conference displays, room schedulers, environmental monitors, desk phones, printers. Reboot, reconnect, replace. Complex AV issues escalate to our AV Engineer. -Meet ISP technicians at demarcs. Escort low-voltage contractors, AV vendors, access control installers. Be the on-site point of contact for any third party that needs access to network infrastructure. Intermediate Level This is a Contract position based out of New York, NY. The pay range for this position is $28.00 - $35.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Our client is seeking a Quantitative Engineer to support the development, migration, and enhancement of risk/statistical financial models. This role focuses on understanding existing C++ based models, migrating them to a python + Databricks cloud environment, and enabling scalable model execution against large datasets. The ideal candidate combines strong quantitative and engineering skills with the ability to work across technical and business stakeholders, contribute to requirements gathering, and support time-sensitive deliverables. (We are looking for a technical hands on Quantitative developer, not someone who has led teams of Quants) Key Responsibilities: • Develop and maintain database-integrated solutions., • Strong programming in Python and C++., • Experience building statistical or risk models., • Financial services experience., • Prior Experience as a Quant or ML Engineer, • Experience migrating applications or models to the cloud., • Hands-on software development experience., • Experience working with large datasets., • Strong problem-solving and critical-thinking skills., • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Hybrid Job Overview The Advanced Software Engineer designs, builds, and operates cloud-native web applications that power our business. This role blends strong technical skills with a collaborative mindset to deliver secure, scalable, and high-performance solutions on Microsoft Azure while continuing to grow technical depth and architectural understanding. Job Description and Requirements WhatYou'llDo * Design, develop, andoperatesecure, maintainable, and scalable web applications using object-oriented principles, modern architecture, and cloud-native patterns. * Build andmaintainsolutions for data migration and integration between systems, including workflow automation and data transfer processes. * Participate in design discussions, share ideas, and implement solutions that follow best practices for performance, reliability, and security. * Write clean, testable code and apply automated testing, static analysis, and observability tools to ensure reliability and maintainability. * Work across both front-end (modern JavaScript frameworks) and back-end (service-oriented systems built on .NET or similar) components. * Use microservices, containers, and managed Azure services (.NET, Cosmos DB, SQL Server, App Services, Docker) to deliver scalable cloud platforms. * Leverage AI-assisted coding tools (e.g., Copilot, Cursor) to accelerate development, reduce boilerplate, and focus on solving meaningful business problems. * Collaborate closely with peers, designers, and product managers through pair programming, code reviews, and shared design sessions. * Contribute todocumentation, help refine engineering practices, and learn from senior engineers to strengthen your craft. WhatWe'reLooking For * 3-5 years of professional experience building commercial-grade software and/or cloud-native applications. * Practical experience with cloud services, Docker, .NET, JavaScript, Cosmos DB, or SQL Server. * Solid understanding of object-oriented design, distributed services, and modern development practices. * Experience with data integration concepts, including ETL workflows and API-based integrations (prior experience with Relativity Integration Points is a plus, but notrequired). * Demonstrated ability to deliver solutions in collaborative, fast-paced environments. * Strong problem-solving, communication, and teamwork skills. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $103,000 and $155,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

Description The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium () funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL., • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations., • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

All locations Chicago, United States; New York, United States; Facultative Property Engineering & Construction Underwriter We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that. The Company As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products. Munich Re Facultative and Corporate (MR F&C) was created to bundle Munich Re's facultative and corporate business into one global unit. We believe that by aligning our single risk business in one unified team we will better position Munich Re to provide a holistic suite of products and services that meet the growing demands of our clients and broker partners. The Opportunity Future focused and always one step ahead! The Engineering & Energy business units of Munich Re F&C (Facultative & Corporate) provide custom-made insurance solutions to the power, energy and construction industries. The team is a recognized market leader in these classes of business. For the Munich Re F&C (MRF&C) North America Corporate Engineering & Energy team, we are looking for a qualified Facultative Engineering & Construction Underwriter. The underwriter is to be based in either New York or Chicago. In this role you will underwrite and manage a growing pipeline of construction and engineering risk accounts within the Property Facultative US Division of Munich Re Facultative and Corporate, and contribute to its overall profitability. You will apply specialized underwriting risk analysis skills and insurance knowledge to adequately assess and price the potential exposures to Construction and Engineering Risks underwritten in the unit. You will determine the commensurate terms and conditions applicable and consider risk-sharing acceptances. Responsibilities: • Develop and maintain strong market presence by developing client and broker strategies., • Develop new business opportunities and promote Munich Re Group's capabilities and competencies externally., • Establish and maintain sound contact with clients and brokers, keeping abreast of market and industry developments and client needs., • Promote MR F&C Engineering & Energy capabilities and competencies., • Produce and underwrite a variety of civil, energy and power construction projects through contacts with brokers and cedants in line with MR F&C risk appetite., • Produce and underwrite Engineering (Power-Gen & Construction) business in line with MR F&C risk appetite., • Negotiate and conclude the offers, terms of contract with Cedants/Brokers and, when necessary and feasible, submit counter proposals., • Use the given pricing and layering models, • Review policy forms for compliance with MRF&C guidelines, strategies and best practices developed for MR F&C Engineering & Energy and provide solutions where practical., • Relative to losses: track and monitor losses and keep up to date on industry loss trends. Work with the Claims department as needed., • Participate in appropriate energy and engineering-industry seminars/workshops to elevate Munich Re's brand. Qualifications: Successful candidates will possess the following skills and capabilities: • Mechanical/Chemical/Electrical/Civil Engineer (preferably with a bachelor's degree) preferred, with a minimum 5 years engineering (re)insurance experience., • Negotiation, Relationship Management and Marketing skills, • Strong computer skills., • Excellent verbal/written language and communication skills., • Ability to travel nationally and internationally., • Ability to work cross-functionally and cross-culturally to collaborate with Loss Control Engineering, Claims, Underwriting Analysts, and teams in London, Munich and globally. The Company is open to considering candidates in numerous locations, including Chicago, IL and New York City (NYC). The salary range posted below applies to the Company's Chicago location. The offer will be adjusted per geography. The base salary range anticipated for this position is $138,400 - $203,000 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Chicago. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: • Two options for your health insurance plan (PPO or High Deductible)., • Prescription drug coverage (included in your health insurance plan)., • Vision and dental insurance plans., • Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary., • Short and Long Term Disability coverage., • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children)., • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity). In addition to the above insurance offerings, our employees also enjoy: • A robust 401k plan with up to a 5% employer match, • A retirement savings plan that is 100% company funded., • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries., • Eligibility to receive a yearly bonus as a Munich Re employee., • A variety of health and wellness programs provided at no cost., • Paid time off for eligible family care needs., • Tuition assistance and educational achievement bonuses., • A corporate matching gifts program that further enhances your charitable donation., • Paid time off to volunteer in your community. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ___ Save job

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Join Our Innovative Team as an Electrical Engineer - Shape the Future of Energy Solutions! Are you passionate about pushing the boundaries of energy technology? We're looking for a talented Electrical Engineer to be a key player in our building improvement projects. In this role, you'll design cutting-edge electrical infrastructure to help clients achieve their energy goals with smart, sustainable solutions. At Willdan, you'll join a collaborative and diverse team of mechanical and electrical engineers, solar design experts, project managers, and more. Together, we work to create resilient, efficient, and cost-effective electrical distribution systems that meet the highest standards of excellence. As an Electrical Engineer at Willdan, your contributions will directly impact the future of energy systems. You'll have the opportunity to: • Lead Innovation: Create and design creative electrical systems that transform how energyis used., • Collaborate Across Teams: Work alongside experts in multiple fields to deliver groundbreaking solutions., • Drive Change: Take ownership of projects and make a real impact on the success of our clients' energyobjectives. The Senior Electrical Engineer is responsible for designing the Electrical Infrastructure for our building energy conservation projects. The ideal candidate will have an advanced understanding of power distribution and Distributed Energy Systems (DERs) as it applies to high performance buildings across various vertical markets including commercial, local & state governments, light industrial, educational and health care facilities. Essential Duties and Responsibilities • Experience with electric building design. Design electrical systems upgrades and improvements to improve energy efficiency. Point to Point understanding of power distribution and interconnection to the Utility Grid to the Service Entrance down to the end use receptacle. Advanced knowledge of energy conservation guidelines using IECC, Title24 and projects with LEED Certification., • Fundamentals of Power Distribution. Advanced Understanding of electrical theory covering 3-phase and 1-phase power, power triangle & power factor, Grounding, Principles of Magnetism applied to Transformers and Motors., • Perform Complex Engineering Calculations & Analysis (see qualifications below). In-depth understanding of software apps and resources used in Electrical Engineering (SKM, ETAP, CYME, Excel Tools, etc.)., • Stand By Power and Alternative Energy Sources. Size combustion generators as it applies to high-performance buildings and electrical distribution systems, automatic transfer switches. Emphasis on integrating DER components including PV, BESS and EV charging. Exposure to microgrid design and/or integrating BESS and microgrid controls into solar PV and EV infrastructure projects is a bonus., • Strong Understanding of utility interconnection requirements. Design the electrical infrastructure and protective relays required by the utility for on-site generation. Support the DER team and their efforts as they work with utility providers to submit the required documentation and complete the utility interconnection process., • Excellent Time Management Skills. Ability to work on multiple projects of varying complexities. Ability to work on concurrent projects across multiple geographical regions. Work under limited supervision., • Prioritize Workflow. Able to prioritize project workflow to meet deadlines with minimal supervision, completing projects on time. Paying special attention to quality, accuracy and effort against budget., • Succeed as a Team. Enjoy working within design teams and meeting the project goals in a team-focused environment. Collaborate with other disciplines. Work with local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and building codes. Support company standards, work with project managers to exceed client expectations., • Forward Thinking. Leverage your creativity and explore new technologies and products., • Supports design team efforts to identify, recommend, and implement new technologies and systems to improve organizational processes and decision-making. Develop innovative solutions that reduce costs with no impact on quality, or long term reliability., • Ability to research new concepts, technologies and apply integrate into our projects., • Start to Finish. You will develop concepts from the ground up. Use information from site visit to develop concept. Produce construction drawings (CDs) using CAD software. Complete CDs and apply for permit. Work with construction teams and contractors to see our designs installed in the field. Review and approval of equipment submittals., • Articulate. The candidate must possess excellent verbal and written communication skills, as well as interpersonal skills. Comfortable presenting to clients, team members and internal leadership., • Occasional Travel Required (~15%). Site visits to document the existing infrastructure. Provide engineering evaluations, electrical systems audits, and construction support as needed., • Bachelor's degree or higher. Electrical engineering, architectural engineering, or building science from a fully accredited ABET program., • PE License is Required., • 8+ years of electrical design experience with commercial, education, government or light industrial projects typically at an MEP consulting firm., • Advanced Understanding of low voltage systems 600V and lower, both AC and DC distributions. Includes 480/277V, 208/120V and 240/120V systems, single phase or three phase. Medium Voltage experience is a plus., • Perform Engineering Calculations. Includes: fault current studies, Arc Flash Analysis, Selective Coordination Studies, Service Entrance Calculations, Transformer Sizing, Overcurrent Protection of Motors & Transformers, Conduit Fill and Conductor Sizing with applicable derating factors., • Knowledge of applicable building codes and regulations including IEEE, NFPA, NEC (NFPA70), California Electric Code (CEC) & Title 24, UL Listings, Life Safety, IBC, and OSHA., • Technical Understanding of Grounding and Bonding., • Expansive product knowledge of manufacturers (Eaton, Schneider, ABB, Siemens, etc.)., • Ability to size and specify distribution equipment: diesel generators, electrical switchgear & switchboards, panelboards, disconnect switches, etc., • Assemble and compile Division26 specifications., • Take Ownership of Projects. Ability to take a project from the initial site visit into preliminary design through Construction Drawing completion. Stay actively involved with the project during the permit process and into Construction., • Proficient in AutoCAD, Revit is a plus., • Skilled in Microsoft Office, Excel, and Teams; working knowledge of Bluebeam Revu. Willdan Energy Solutions participates in E-Verify.

Description Leidos is seeking an Electronics Engineer to join the National Airspace System Integration Support Contract (NISC IV) team. This role is located in Jamaica NY area. Includes up to 25% travel. In this role you will support the Federal Aviation Administration's (FAA) Eastern Service Area (ESA) performing electronics design engineering, cost estimating, scheduling, coordinating, inspecting, and acceptance and reporting project progress and issues against project goals, scope of work, and schedule. The projects support air traffic control facilities over the geographic scope of the ESA. Electronics Engineer Primary Responsibilities * Plan and design a variety of facility establishment, replacement and modernization projects (e.g. data networking, air/ground communications, fiber optic data transmission, communications control, inter-facility wiring) * Perform on-site surveys to develop designs and detailed reports * Prepare unit installation and system integration design plans * Conduct and analyze studies of existing facilities * Utilize relevant software tools to assist in analysis and design * Generate sketches showing relation of proposed work in existing or new facilities with specifications and dimensions * Plan, schedule, and coordinate installation project activities to meet milestones and deadlines working directly with stakeholders and contractors * Confer with multi-disciplinary engineering staff and other personnel to identify and resolve problems with the design or implementation * Perform project management related tasks and communication (including safety plans, sequence of work, cutover plans, risk management plans, lead and asbestos work permits) * Participate in on-site coordination meetings, inspections, cutovers, testing and restoration of facilities * Provide periodic updates of project to team, management, and stakeholders * Provide timely responses for requests for information and project related submittals * Provide monthly and semi-annual work status reports * Track and reconcile closure of project punchlist exceptions * Manage multiple projects towards successful on-time completion * Perform internal design reviews of other projects Electronics Engineer Basic Qualifications * Bachelor of Science degree in Electrical Engineering from a four year ABET accredited college or university and 4+ years of relevant experience in commercial, industrial or government facility establishment, replacement and modernization design engineering OR a Masters and 2+ years of relevant experience * Current and relevant knowledge of building and other codes in order to perform system power and data distribution design, grounding and surge protection, and address equipment location and physical installation * Ability to manage multiple projects, tasks and deadlines through to completion * Ability to conduct efficient, organized data gathering and data analysis * Ability to accomplish clear and concise general and technical writing and tactfully coordinate with a variety of project stakeholders, peers and management levels * Working knowledge of Microsoft Office products, engineering scheduling tools and applications, and be able to use the internet as an information gathering and communicating tool * Ability to effectively communicate verbally and in writing * Proficiency using AutoCAD / Microstation to create and edit engineering drawings * Ability to obtain a Public Trust Suitability. To be eligible for Public Trust you must be a US Citizen or a Green Card holder who has resided in the US for the past 3 years.) Electronics Engineer Preferred Qualifications * Proficiency in engineering analysis and design software tools If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. At QuidelOrtho, we're advancing the power of diagnostics for a healthier future for all. Join our mission as our next FieldEngineer I in Northern New Jersey and New York City. This is a field based position that offers a company car, gas card, cell phone and laptop, and all vehicle maintenance will be covered by QuidelOrtho. This field based position covers customers throughout Northern New Jersey & New York City. * We are seeking a qualified individual who has experience installing, operating, maintaining, repairing, and modifying electromechanical equipment, preferably in the field. Troubleshoot technical problems and systems issues. * Determine technical solution in accordance with product and customer specifications and recommends actions to company or customer representatives for coordinative product solution. * Conducts technical analysis of product implementations, modifications, and enhancements to product in accordance with specific customer specifications and implementations. * This position will also require the individual to assess Customer needs and recommends solutions in accordance with product specifications and Customer Specifications. * Conducts technical training and product briefing with customers, vendors and company representatives as needed. Act as local on-site representative to customer's organization. Manage all territory responsibilities including Preventive Maintenance & upgrades including software & hardware. This position requires the individual to provide service support in the hospital/clinic laboratory environment. * Responsible for individual parts management, online training, and administrative expense reporting. * Perform other work-related duties as assigned. Candidates should be aware that the Company currently requires customer-facing workers to meet Customer Credentialing requirements which may include but are not limited to, up to date immunizations. The Company is an equal opportunity employer and will provide reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the company to do so as provided under federal, state, and local law. Required: * Education: Minimum of an Associate's degree in Electronics orElectrical/MechanicalEngineering, or equivalent 4 years of military or field service experience required. * Experience: Minimum 4 years experience installing, operating, maintaining, repairing, and modifying electromechanical equipment, preferably in the field, required. * A team player that is self-motivated & interacts appropriately with peers, sales counterparts, and customers is required. * The ability to organize and express ideas clearly, verbal and written, in individual or group situations. * Possess appropriate technical knowledge and have the ability to utilize that knowledge to effectively perform required job functions with an effective level of competence demonstrating a high degree of knowledge in electro-mechanical, chemistry, computer and/or other related disciplines. * Ability to effectively manage assigned workload within allotted time constraints. * Must have the ability to lift 75 lbs. * A valid driver's license is always required. * Extended hours may be required * Travel: Ability to travel overnight 50-75% to Rochester, NY, in the first few months of training. Post-training must be able to travel up to 75% around territory, with occasional overnight travel (1-2 nights per week). * This position is not currently eligible for visa sponsorship. Preferred: * Experience within Healthcare or Medical Device industry Internal Partners: * Field Service: Field Engineer I, Senior Field Engineers, Area Service Engineers, Regional Service Managers, Area Service Directors * Sales: Area Sales Directors, Account Managers, Strategic Account Executives, Business Development Managers, Channel Sales Managers * Technical Specialists, Field Application Specialists, Area Technical Specialists, Technical Support Specialists * Interacts with other aspects of the organization as required (e.g., Finance, HR, IT, Customer Service, etc.) External Partners: * Customers including but not limited to Laboratory Managers, Supervisors. Typical work hours with overtime required in a outside field engineer environment. Must have the discipline, organization skills and self-motivation to work autonomously in a home office environment. Must maintain a valid driver's license and must own and maintain an automobile suitable for travel to customer sites, airport, etc. Travel includes airplane, train, automobile, and overnights. On a typical workday, 80% of time meeting with people, 20% of the time on computer, doing paperwork, or on phone. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. While performing the duties of this job, regularly required to use hands to finger, handle, or feel and talk or hear. Frequently required to stand, walk, bend, twist, reach and sit. Occasionally required to reach, kneel, squat, or balance. Must be physically able to travel up to 75%.Must maintain a valid driver's license and must own and maintain an automobile suitable for travel to customer sites, airport, etc. Travel includes airplane, train, automobile, and overnights. Must be able to lift up to 75 pounds. The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $65,000 to $85,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform the duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___ #LI-CG1 #LI-Remote

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components, • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Position Overview: We are seeking a highly skilled Solutions Engineer with a minimum of 3-5 years of experience, preferably in a customer-facing sales engineering role, to join our Commercial team in New York City. The ideal candidate will have a strong technical background in campus network design, including switching, wireless, and routing, and will be responsible for selling a broad portfolio including security, data center networking, compute, and collaboration solutions. Curio Key Responsibilities: * Serve as a trusted technical advisor and subject matter expert to customers and partners. * Design and present comprehensive solutions that address customer business needs and technical requirements. * Collaborate closely with sales teams to drive technical sales opportunities to closure. * Provide expertise in campus network design, including switching, wireless, and routing technologies. * Support sales efforts across security, data center networking, compute, and collaboration product lines. * Engage with partners to enhance solution delivery and customer success. * Maintain up-to-date knowledge of Cisco technologies and competitive landscape. Required Qualifications: * 3+ years of experience in a customer-facing sales engineering or technical pre-sales role. * Understanding or background in campus network design, including switching, wireless, and routing. * Experience selling or supporting security, data center networking, compute, and/or collaboration solutions. * Ability to translate complex technical concepts into business value. Preferred Qualifications: * Cisco CCNP Enterprise (CCNP EN) certification or Cisco Certified Internetwork Expert (CCIE) certification. * Proven track record of success in technical sales or solutions engineering roles. * Strong communication and interpersonal skills with the ability to engage effectively with customers and partners. * Familiarity with Cisco's commercial market and customer base. Personal Attributes and Mindset: * Demonstrates strong curiosity and a passion for continuous learning to stay ahead in a rapidly evolving technology landscape. * Committed to driving growth for customers, partners, and Cisco through innovative thinking and proactive engagement. * Thinks really big, embracing bold ideas and strategic vision to create impactful solutions. * Plays to win by maintaining a competitive spirit and a results-oriented approach in all endeavors. Location: New York City Metropolitan Area At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $205,500.00 to $259,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $205,500.00 - $298,300.00 Non-Metro New York state & Washington state: $197,600.00 - $286,900.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Who is BlueRock? BlueRock Therapeutics LP is a clinical stage cell therapy harnessing the power of cell therapy to create a pipeline of new medicines for people suffering from neurological and ophthalmic diseases. Two of our novel investigational cell therapies, bemdaneprocel (BRT-DA01) for the treatment of Parkinson's disease and OpCT-001 for the treatment of primary photoreceptor diseases are clinical stage programs. BlueRock was founded in 2016 as a joint venture of Versant Ventures and Leaps by Bayer. Our culture is defined by the courage to persist regardless of the challenge, the urgency to transform medicine and deliver hope, integrity guided by mission, and community-mindedness with the understanding that we are all part of something bigger than ourselves. What Are We Doing? Our foundational science harnesses the ability to create and then direct the differentiation of universal pluripotent stem cells into authentic, functional cells that can be used as allogeneic cellular therapies to treat a broad array of diseases. We can also further engineer these cells, enabling them to produce enzymes, antibodies, and other proteins for additional therapeutic benefit. We are passionate about delivering on the promise of cellular and gene therapy, shaping the future of cellular medicine, and delivering new therapies to millions of patients with treatment options. We are seeking individuals who are collaborative, thrive in a fun and dynamic culture, and are steadfast in the commitment to advance cutting-edge cellular therapies to impact patients' lives. BlueRock Therapeutics is seeking a highly motivated individual to join our In Vivo team in New York, NY. Under direct supervision, this individual will be an integral member of the In Vivo Research team and will assist with research activities to support the characterization of our cellular therapies in animal models. Individuals in this role are expected to have prior experience with animal handling and understand the importance of prioritizing animal welfare in a research setting. Key responsibilities include performing stereotaxic surgeries, tissue collection, and executing various behavioral assays coupled to histological analysis. The candidate should be comfortable working independently and exhibit excellent time management and record keeping skills. This is an exciting opportunity to contribute to bringing a new class of cellular therapies to patients using our unique CELL+GENE platform. • Perform stereotaxic surgery in mice and assist with surgical operations including surgical tool sterilization, animal prep and post-operative care., • Assist with mouse breeding colonies, including pairing breeders and separating mating cages., • Perform routine health checks (i.e. cage side assessment and recording weekly/monthly body weights) and necessary interventions (i.e. nail trimming, adding wet food or euthanasia)., • Conduct and support various behavioral assays in mouse coupled to behavioral scoring/analysis., • Assist with drug dosing via various routes of administration (i.e. IP, PO, SC)., • Perform cardiac perfusions and tissue collection., • Perform tissue processing (cyrosectioning) coupled to various immunohistochemical techniques., • Perform image acquisition by microscopy (widefield, confocal)., • Maintain accurate records of animals., • Present scientific data to peers at internal and external platforms., • Analyze and document experimental data in a timely and accurate manner., • Prepare and follow standard operating procedures and experiment plans., • Strict adherence to animal welfare protocols and humane treatment of research animals, • Adherence to biosafety measures, use of Personal Protective Equipment, and disinfection of incoming materials., • This position requires the employee to be on-site at least 5 days/week due to hands-on laboratory work., • This position requires occasional compensated overtime on the weekend., • Contributes to project and team results by generating high-quality, reliable scientific data that informs decision-making., • Demonstrates strong laboratory practices, shares knowledge with peers, and contributes to a collaborative and inclusive team environment., • Builds technical credibility and positively influences team effectiveness through preparation, communication, and consistency in the lab., • Research Associate II: Bachelor's degree and a minimum of 2 years OR Master's degree and 0+ years of relevant professional experience., • Must have at least 2 years of experience handling/working with mice in a laboratory setting., • Candidates with neuroscience-related experience (e.g., intracranial injections, cardiac perfusions, and drug dosing) will be given priority consideration., • Excellent organizational skills, attention to detail and time management skills in an extremely fast-paced environment with changing priorities., • Knowledge of good documentation practices required in a preclinical environment is desirable; ability to independently draft standard operating procedures preferred., • Excellent communication and interpersonal skills., • Comfort using various software programs including Microsoft Office (Word, Excel, PowerPoint), documentation management software (SharePoint, Benchling), and statistical analysis software is ideal.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Title: Senior Transportation Engineer Department: Civil & Environmental Engineering Reports To: Department Chair, Civil and Environmental Engineering Position Type: Staff Position Summary: Under the supervision of the Chair of the Department of Civil and Environmental Engineering, the Senior Transportation Engineer works with faculty and other research staff on complex transportation planning analysis tasks related to sponsored research projects, focusing on transportation data development and analysis, use of regional travel demand, traffic and simulation models, and ITS engineering. Under the direction of the Department Chair and Principal Investigators on research projects, the Senior Transportation Engineer participates in a variety of research activities, including performing technical analysis work, preparing documentation, assisting with technology transfer activities, and participating in communication with clients. Duties also include needs assessment, implementation and support for research tasks to which the incumbent is assigned. Essential Functions: • Manages one or more tasks for sponsored research projects. The incumbent will focus on areas of transportation modeling and systems analysis, traffic engineering, ITS, and transit systems operations. The incumbent will utilize and apply travel demand modeling, traffic engineering and simulation, GIS, and other transportation and mathematical modeling and analysis software., • Keeps up with the state-of-the-practice in transportation modeling, traffic engineering and operations, and ITS, including innovations in related software tools. Implements this knowledge in research activities. (55%), • Performs (as assigned) literature review, problem identification, data collection and analysis, analysis of solutions, and development of recommendations., • Works with faculty, research staff, and students on preparing technical scopes of work for research projects, and assists the Principal Investigators with developing project schedules., • Assists faculty and other researchers with managing all aspects of the technical work in the areas of transportation modeling and systems analysis, traffic engineering and ITS, including the scheduling and assignment of work tasks. (30%), • Prepares technical memoranda and progress reports summarizing the results of the technical work. The incumbent will also be responsible for preparing sections of the Final Report documents related to the work tasks performed as part of research projects, including printed and electronic data and reports for submission and presentation to research clients. The Senior Transportation Engineer will attend meetings as necessary with NJIT faculty and staff, as well as meetings with research clients., • In coordination with faculty prepares and sends for publication research reports and papers related to conducted research. (10%) Additional Functions: • Assists faculty with graduate student guidance and mentoring by providing expertise and advice in the areas of transportation modeling, engineering, ITS, and data analysis. (5%), • Performs other related duties as assigned by the Chair of the Department of Civil and Environmental Engineering or Principal Investigators on research projects. Prerequisite Qualifications: • Master's degree in Transportation, Urban Planning, or a related field., • Three years related experience in the computer based transportation modeling, simulation, and systems analysis., • Working knowledge of regional and local transportation planning and engineering practices in New Jersey, as well as basic transportation engineering theory and practices nationwide., • Working experience in computer based traffic analysis, preferable using Synchro., • Working experience in computer-based transportation modeling (Cube, TransCAD, or VISUM) and simulation (Paramics, VISSIM, or CORSIM)., • Must have a strong computer background, including high-level proficiency with Microsoft Windows and Office software, including Word, Excel, Power Point, Access, and Visio., • Knowledge and working experience using data analysis tools such as New Jersey Congestion Management System (NJCMS), New Jersey Accident Record Database (NJARD), and Census Transportation Planning Package (CTPP)., • Must have excellent oral and written communication skills, • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position Preferred Qualifications: -Experience with ITS engineering and systems analysis is preferred. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$113,324.04 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page . Range/Band: 22 FLSA: Exempt Full-Time Apply NowShare Save Job

With a passion for life Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers. Are you looking for an inspiring career? You just found it. JobOverview The Staff Engineer, Sustainabilityleads sustainability initiatives across product development, operations, and supply chain whileestablishinggovernance frameworks. It ensures measurable environmental impact reductions, compliance with FDA/ISO standards, and trusted performance metrics aligned with business strategy. Job Responsibilities and Essential Duties * Drive carbon reduction roadmap and eco-design principles. * Lead lifecycle assessments and integrate sustainability into product development. * Collaborate with suppliers on low-carbon initiatives. * Support compliance with ISO 14001, ISO 14040, and FDA standards. * Ensure raw material complianceto include RoHS, REACH, EU MDR Prop65 * Define and standardizegovernance & KPI'sacross teams. * Ensure data integrity and consistent reporting. * Build dashboards to track sustainability and performance KPIs. * Review and updategovernanceto align with evolving strategies. MinimumRequirements * Degree in Engineering, Sustainability,Project Management,or Data&Analytics. * 7+years in sustainability, governance, or regulated environments. * Knowledge of lifecycle assessment, ISO frameworks, and BI tools (Power BI, Tableau). * Strong communication, stakeholder management, and analytical skills. * PMP Certification a plus. Salary range: $98,000.00 - $125,000.00 plus bonus targeted at 10% (depending on overall company performance) #LI-LG1 About us With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries. Benefits at Getinge: At Getinge, we offer a comprehensive benefits package, which includes: • Health, Dental, and Vision insurance benefits, • 401k plan with company match, • Paid Time Off, • Wellness initiative & Health Assistance Resources, • Life Insurance, • Short and Long Term Disability Benefits, • Health and Dependent Care Flexible Spending Accounts, • Commuter Benefits, • Parental and Caregiver Leave, • Tuition Reimbursement Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Description We are seeking a Lead Transmission Line Engineer who will manage a collaborative and dynamic team working in a fast-paced environment, solving challenging problems involved with electric transmission. The successful candidate will serve as a Lead Engineer and Technical Project Manager on high voltage electric transmission line design projects of overhead and underground systems for some of the largest utilities in the country as well as regional utilities. The candidate will apply NESC, ASCE, ACI, NEC, and other applicable standards in the engineering and design of all types of capital and maintenance projects from 34.5 kV to 765 kV. Additionally, the candidate will direct a team of engineers that regularly perform engineering analyses, PLS-CADD modeling, structure loading calculations, foundation design using MFAD and/or LPILE, design structure framing and hardware assemblies, draft plans and specifications, and prepare bill of materials and procurement documents across project planning, engineering, environmental, permitting, and construction management phases. The successful candidate can expect a fast-paced, diverse work environment and flexible work hours/work arrangements as well as a manager and peers who will encourage career development and growth! In addition, the successful candidate will be involved in applying AI, automation, and digital design platforms to streamline grid modernization and increase design efficiency. This is a senior leadership role with primary responsibilities in client relations, staff management, proposal development, scope creation/change, project execution, and new business capture for the team's full book of work. The successful candidate will be able to communicate clear expectations, goals, and vision; manage the performance of direct reports; motivate, coach, and mentor skilled professionals; and appropriately delegate project work. The candidate must be capable of managing collaboration and a positive team culture to achieve successful results. Location: This position is a hybrid work position with the potential for remote work for the right candidate located in Pennsylvania, Ohio, or West Virginia. Relocation assistance may be available for qualified candidates. The Challenge: • Direct multiple design teams simultaneously executing various projects and programs for multiple clients., • Develop a team of engineers by training, coaching, and nurturing Leidos' engineering talent., • Supervise staff by approving timesheets and running the annual performance review process., • Participate proactively as a member of the leadership team of the Transmission Line Section., • Create responses to RFPs, RFIs, and RFQs from clients for new work, including proposal creation and definition of scope of work., • Possess a growth mindset to foster creative problem solving for our clients' most complex issues., • Promote continuous improvement to develop streamlined processes and tools that facilitate improvements to departmental technical resources via innovation and automation., • Delegate tasks to staff, forecast and plan their future workload, and run recruiting activities to support aggressive growth goals., • Drive the quality control process for the execution team to ensure the highest level of quality in all deliverables., • Liaise with clients to maximize affinity, facilitate business development growth, and foster long-term relationship building., • Manage portfolio health by leveraging Project Managers to independently drive and monitor scope, schedule, and budget. Accountability for schedule compliance requires high awareness and support from assigned Lead Engineers. What Sets You Apart (Required): • Bachelor's degree in Civil, preferred, or Mechanical Engineering with eight plus (8+) years of relevant experience in the design of high voltage electric utility transmission systems., • Expertise in PLS-CADD and PLS-POLE., • Engineer In Training (EIT) certification., • Work effectively in a team environment; can also work independently., • Track record of outstanding communication to serve as primary point of contact for existing and perspective clients., • Business acumen with a record of understanding and meeting key project performance metrics., • Working onsite in a Leidos or client office is a possibility; some periodic travel may be required., • Ability and passion to develop staff through mentoring. Favorable If You Have: • Two plus (2+) years of supervising staff., • M.S. degree in Structural Engineering., • Experience with TOWER., • P.E. certification or the ability to achieve P.E Certification in 6 months., • Experience with LPILE or FAD, Mathcad, AutoCAD or MicroStation, and Geographic Information Systems (GIS) is a plus. Why Leidos: At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. We take care of our employees. Leidos seeks the best and the brightest, and in return, we invest in you, with an eye on your future, through career advancement, growth opportunities, and continuous improvement via mentoring, formal and informal project management training and assistance with obtaining pertinent certifications. We challenge you to help solve some of the world's toughest problems, and reward you with a welcoming culture that recognizes the importance of a strong work/life balance, as well as competitive compensation and benefits. We believe that diversity and inclusion make us all better and offer the chance to have fun and make a difference. We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive, and ethical workplace. Our recognition as an industry leader is confirmed by the latest national rankings by Engineering News-Record (ENR) ranking Leidos within the Top 10 T&D Firms, and Top 10 Power Firms. If this sounds like the kind of environment where you can thrive, keep reading! Are you ready to make an impact? Begin your journey of a flourishing and meaningful career; share your resume with us today! PowerDelivery PDSTLINE If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. November 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $92,300.00 - $166,850.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Fission. Enriched uranium. The most powerful energy sources in the world need the most powerful minds behind them. As a Nuclear Reactors Engineer, you'll be the technical authority responsible for the oversight of research, design, maintenance, operations and regulation of Navy nuclear reactors and power plants that drive the most advanced fleet of submarines and aircraft carriers on earth. Here, you can fuel a passion for problem-solving by defining and redefining the cutting edge of nuclear propulsion, while helping ensure that all personnel associated with Navy reactors are prepared to work with the technology - safely and efficiently. As a Naval Reactors Engineer, you can set the standard in nuclear reactor research and regulation. Want to start your journey with the Navy? Apply Now Officer None What to Expect Nuclear Officer More Information Responsibilities Naval Reactors Engineers have oversight of the Navy's entire fleet of nuclear-powered ships as well as shore-based prototypes and nuclear propulsion support facilities for America's Navy. The wide array of technical areas involved in the Naval Nuclear Propulsion program include: * Reactor and fluid systems design * Reactor physics * Materials development * Component design such as steam generators, pumps and valves * Instrumentation and control of reactor, steam and electric plants * Testing and quality control * Shielding * Chemistry and radiological controls As a Navy Reactors Engineer stationed at Naval Reactors Headquarters in Washington, D.C., you will provide technical oversight while managing projects ranging from reactor design to fleet operations to de-fueling and decommissioning warships. Work Environment Preliminary training and eventual staff assignments center around Naval Reactors headquarters at the Navy Yard in Washington, D.C. At headquarters, you will be a part of a stream-lined, elite staff of roughly 500 people who oversee the entire Naval Nuclear Propulsion Program from cradle-to-grave. Even junior level Naval Reactors Engineers assume responsibility for key technical work in a variety of state-of-the-art facilities, including: * Two Department of Energy laboratories * Two nuclear prototype/training sites * Nearly 100 nuclear-powered ships and submarines * Six shipyards * More than 1,000 firms that support the Naval Reactors Program Training & Advancement Upon graduation from college, the formal training process of becoming an officer in the Naval Nuclear Propulsion program is officially underway. For those pursuing a Naval Reactors Engineer position, the first step is Officer Development School (ODS) in Newport, RI - a 5-week course of instruction in Newport, RI, that provides a comprehensive and intense introduction to the responsibilities of being a Naval Officer. Upon completion of ODS, newly commissioned Ensigns move on to receive initial training at Naval Reactors Headquarters in Washington, D.C. (9 weeks of instruction) and Nuclear Power Training Unit (2 weeks of instruction) that form the basis for more advanced academic work. Officers then attend Bettis Reactor Engineering School (BRES), a 6-month postgraduate-level education in nuclear engineering at Naval Nuclear Labs just outside Pittsburgh, PA. This is followed by approximately three weeks spent gaining a working background at one of the Navy's shipyards in either Newport News, VA, or Bremerton, WA. Following the training pipeline, Naval Reactors Engineers are then assigned a Nuclear Engineer position with the group responsible for managing all technical aspects of the Naval Nuclear Propulsion program-reviewing, approving and confirming the design, operation and maintenance of nearly 100 nuclear reactors. Continuing education is required for the next six months as Engineers start in a junior role under a supervisor and rapidly advance to take on increasing responsibilities and complete their 5-year commitment. Post-Service Opportunities As a Naval Reactors Engineer, you will have incredible post-service prospects. The highly-selective nature of the program combined with world-class advanced training and qualifications means your skills and knowledge are in high demand. Adding "Navy Nuke" to your list of accomplishments will make you a top candidate for a variety of future careers including civilian engineering and management jobs after you complete your service. Education Opportunities In addition to the best-in-class training and state-of-the-art facilities, current undergrad students who meet the prerequisite background will also get the chance to get paid while finishing school through the Nuclear Propulsion Officer Candidate (NUPOC) program. Students in majors like mathematics, engineering, physics and chemistry may receive preferred acceptance into the program. If accepted into the NUPOC program as an aspiring Naval Reactors Engineer, you can: * Receive a salary in excess of $4,000 per month for up to 18 months prior to your college graduation * Receive an immediate one-time sign-on bonus of $15,000 * Enjoy military health care benefits while you are a student in the program * Have your college years enrolled in the program count towards retirement * Be a full-time student with no military duties while in college Interested candidates should connect with a recruiter and ask about joining an engineer-specific Q&A information session. This will help you learn more about what the job entails and get answers for any of your questions. Postgraduate Education Opportunities As a Naval Reactors Engineer, once you're out of school you'll have a position waiting as a respected professional and Officer affiliated with the most accomplished nuclear program on earth. Beyond undergraduate and formal Navy training and education, you can pursue additional graduate education by: * Completing Joint Professional Military Education (JPME) at one of the various service colleges * Using Tuition Assistance to attend online or in-person graduate programs during shore assignments. * Navy College Program * VOLED Assistance Center * VOLED Region Advisors * The Naval Postgraduate School (NPS) * Navy War College (NWC) * USAF Air University Air Command and Staff College Qualifications & Requirements Because of the demanding nature of Naval Nuclear Propulsion Program and the magnitude of the responsibilities members will take on from a young age, requirements to become a candidate and join NUPOC are stringent. The NUPOC program is open to both men and women. The following program qualification criteria apply. To be an eligible candidate, you must: * Be a U.S. citizen (dual citizens must renounce non-US citizenship) * Be at least 19 years of age and less than 29 years of age at the time of commissioning-waivers up to 40 years of age for select jobs may be available * Meet any additional physical standards of the Navy Education Requirements Candidates must be graduates or students of an accredited college or university in the United States or in a United States territory pursuing a BA, BS or MS (preferably major in mathematics, engineering, physics, chemistry or other technical areas). Those still in school may apply as early as 18 months from completion of an undergraduate degree for Naval Reactors Engineers. Applicants may also join the NUPOC program as early as 12 months from completion of a master's degree. Additional academic requirements include: * Completed one academic year of calculus * Completed one academic year of calculus-based physics * A competitive GPA and a minimum grade of "B" in all technical courses General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before. Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Compare Navy Careers See how a career as a Special Warfare Combat Crewman compares to other Navy jobs. Compare roles, pay and requirements for each job now.

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide. Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem. With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence. Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases. Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization. Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems. Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows. Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment. Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility. Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale. We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems. This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments. The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle. Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms). Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow. Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP). DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows. CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases. Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration. API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production. Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability. Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments. Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers. Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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