Technical engineer jobs in New York, New YorkCreate job alerts

Job Title: Radiology Service Engineer Location: Cooperman Barnabas Medical Ctr Department Name: Imaging Services Req #: 0000217059 Status: Hourly Shift: Day Pay Range: $28.15 - $43.64 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Reports to assigned work locations as required to meet organizational needs. RSE2 demonstrates confidence using tools and test equipment to perform preventative maintenance and service on radiological equipment. Ensures radiological equipment meets manufacture specifications and is safe for patient care. Demonstrates troubleshooting skills necessary to complete most repairs on multiple modalities. When necessary provides information to assisting engineers to minimize down time and loss of continuity of care. Aids team members and other clinical engineering staff both remotely and onsite as required. Documents all work performed in a timely fashion and participates in the radiology emergency on-call program. Staff assists management in meeting regulatory requirements and department/organizational goals. Performs other duties as assigned or required. Qualifications: Required: * • Minimum AAS degree in Biomedical Engineering, Electronics Engineering Technology or equivalent work/military experience on radiology equipment., • 3+ years of experience servicing radiology equipment on more than one vendor and/or modality, • Can demonstrate proficient use of hand tools, • Working knowledge of electricity/electronics, • Working knowledge of mechanical and electro-mechanical components, • Can demonstrate proficient use of electronic test equipment including oscilloscope, • Can complete most repairs without assistance, • Working knowledge of MS-Office and other computer applications, • Working knowledge of computers and networks, • Working knowledge of radiological safety procedures, • Multiple manufacture certifications, • Attentive to detail and excellent follow-up with customers., • Excellent customer service skills, • Ability to work under pressure, • Ability to attend vendor technical training regardless of method or location, • Valid NJ Driver’s License Scheduling Requirements: • Days to work- 8A-4P M-F, occassional Saturday, • Full-Time, • Working Location(s): Livingston, possible local travel to other RWJBH sites Essential Functions: • Conducts preventive maintenance inspections appropriate to level of job competence using appropriate productivity & quality measures., • Completes monthly assigned tasks within the specified timeframe prioritizing inspections of high risk over low risk equipment., • Recognizes unsafe conditions & notifies appropriate management team members to correct them., • Works collaboratively with senior technical staff to creates & enter PM procedures following manufacturer guidelines., • Effectively responds to service requests, competently troubleshoots & repairs medical equipment appropriate to job proficiency level using established productivity & quality measures, demonstrating good judgment on performing component vs. circuit board level repairs., • Demonstrates the need to maintain an adequate level of parts on hand as applicable, to assist in keeping downtime to an absolute minimum., • Timely and accurately documents all service requests and repairs in the biomedical equipment database., • Inspects new devices & equipment with competence appropriate to job proficiency level. This includes judgment on safety, compliance with codes, standards & ability to learn about the function/performance of new devices with speed & comprehension., • Secures all required device information for biomedical equipment database., • Demonstrates the need to have current service and operator manuals on hand for proper servicing of all types of medical equipment., • Assists Manager in maintaining and fulfilling the department/organizational regulatory requirements and goals., • Complies with system, hospital and departmental policies and procedures and objectives., • Reports witnessed violations that put patients, staff, department or facility in jeopardy to appropriate management personnel., • Demonstrates a thorough knowledge of shop safety including the use of electronic test equipment., • Assists Manager with responding to/correcting medical equipment recalls/device alerts from manufactures and/or F.D.A., • Participates in On Call duties after normal working hours. Must respond to a call within 15 minutes by telephone, and report to the facility within a maximum of one hour if required to be on site., • Ability to give technical instruction to users over the phone minimizing equipment downtime while providing the continuum in patient care, and organizational cost effectiveness.

Job DescriptionDescription: Kinsley Power Systems is seeking an Industrial Sales Engineer to add to their team! The Industrial Sales Engineer's main objective is to sell industrial power generation applications including related equipment (transfer switches, switchgear, load banks, fuel tanks, etc.) to end-users, engineers, electrical contractors, municipalities, government applications and OEMs, among others. Kinsley Power Systems, a family-owned business, has been an industry leader in generator service, sales and rentals for over 60 years. If you want to join a growing company with strong family values, a great culture, a company where you are valued for your hard work and have opportunities to grow – then look no further, come join our Kinsley family! Responsibilities: • Responsible for pursuing new project opportunities and closing sales, • Influences quote development, appropriate equipment and support services, project terms and conditions and ensuring customer support exists through the equipment warranty period, • Meets or exceeds quarterly sales quotas by driving sales with targeted customer types in identified verticals, as well as identifies opportunities with existing accounts in assigned territory, • Negotiates and closes deals which derive significant revenue and associated margins, • Understands the company's complete suite of products and services and identifies and hands-off cross-selling opportunities to other business verticals: residential equipment, rental agreements, prime power equipment, service contract sales, • Makes joint sales calls with appropriate technical/engineering sales resources - providing in-depth technical knowledge of the solutions we have to offer, • Develops long-term relationships with customer decision makers and influencers at the electrical contractor, engineer and building owner levels, • Maintains customer/project data in Customer Relationship Management software (CRM): Tracks active projects for weekly and monthly reporting, documenting of business development activity, and obstacles to success Preferred Skills and Experience: • Bachelor’s degree; or equivalent combination of education and experience will be considered on a case-by-case basis, • Proven passion and success in sales required, • Must be self-motivated with the ability to work independently and in a team atmosphere, • Possess a strong customer services focus with good verbal and written communication skills, • Must possess a strong sense of urgency and a proven ability to meet deadlines, • Proven competency in Microsoft Office, • Ability to work a flexible schedule, including overnight travel as required, • Possess and maintain a current, valid state driver’s license All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Requirements: Compensation details: 85000-130000 Yearly Salary PIdfdd5cf6e17d-25405-39740032

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: As a Lead Machine Learning Engineer in our Luxury Travel organization, you will architect the intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge AI and human-centric design, and you're driven to redefine the gold standard of travel through innovation, this is the perfect role for you. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications * Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a Senior Data Engineer to provide technical leadership for building and enhancing on‑premises data warehouse solutions and accelerating our migration to AWS, including Amazon Redshift.In this role you will be an integral part of an exciting, fast-paced, constantly changing and chall

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Java Software Engineer in Iselin, NJ, Charlotte, NC, Minneapolis, MN, Dallas, TX, or Phoenix, AZ. \n \nBring your expertise in Java and SQL Server to a company known for its robust heritage, focus on customer success, and commitment to digital innovation. You’ll collaborate with talented professionals on large-scale projects that shape the future of banking and financial services technology. If you thrive in challenging enterprise environments and love solving complex problems, we want to connect with you! \n \nContract Duration: 24 months with possible conversion (no sponsorship offered) \n \nRequired Skills & Experience\n • Strong command of SQL Server for database-driven applications, • Experience with .NET-to-Java conversions and application modernization (highly desired), • Background in financial services, banking, or high-compliance enterprise environments preferred, • Excellent communication, problem-solving, and stakeholder management skills\n\nWhat You Will Be Doing, • Ensure compliance with regulatory and company standards throughout all phases of project delivery, • Strategically collaborate and consult with client personnel\n

Job Description Specialized Recruiting Group is hiring for a full time Water/Wastewater Project Engineer on a full-time, direct basis in Newark, NJ Our client is an ENR Top 500 consulting engineering firm founded more than five decades ago. This role offers the opportunity to contribute to meaningful water and wastewater infrastructure projects while advancing your career within a supportive, team-oriented environment. Primary Responsibilities: • Prepare engineering designs, technical specifications, and construction documents for water distribution systems, wastewater collection systems, and treatment facilities, • Perform hydraulic and hydrologic modeling to evaluate and optimize system performance and capacity, • Ensure compliance with local, state, and federal regulations, including coordination of environmental permitting requirements, • Bachelor’s degree in Civil, Mechanical, Environmental, or related Engineering discipline, • Minimum of 7 years of progressive experience in water/wastewater engineering, including design and project coordination, • Active Professional Engineer (PE) license required #2722 PandoLogic. Keywords: Wastewater Engineer, Location: Newark, NJ - 07108 , PL: 603410623

Job Description Specialized Recruiting Group is hiring for a full time Water/Wastewater Project Engineer on a full-time, direct basis in Newark, NJ Our client is an ENR Top 500 consulting engineering firm founded more than five decades ago. This role offers the opportunity to contribute to meaningful water and wastewater infrastructure projects while advancing your career within a supportive, team-oriented environment. Primary Responsibilities: • Prepare engineering designs, technical specifications, and construction documents for water distribution systems, wastewater collection systems, and treatment facilities, • Perform hydraulic and hydrologic modeling to evaluate and optimize system performance and capacity, • Ensure compliance with local, state, and federal regulations, including coordination of environmental permitting requirements, • Bachelor’s degree in Civil, Mechanical, Environmental, or related Engineering discipline, • Minimum of 7 years of progressive experience in water/wastewater engineering, including design and project coordination, • Active Professional Engineer (PE) license required #2722 PandoLogic. Keywords: Wastewater Engineer, Location: Newark, NJ - 07112 , PL: 603410626

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Union Operating Engineer - JLL Local 68 Shift Options Available (includes shift differential) Sunday - Thursday OR Tuesday - Saturday 3 pm - 11 pm OR 11 pm - 7 am What this job involves: As a Union Operating Engineer at JLL, you'll be the cornerstone of building operations during the overnight shift, ensuring critical systems run seamlessly while our clients' facilities remain safe and comfortable. This role combines hands-on technical expertise with systems monitoring, placing you at the center of a dynamic operation where your skills directly impact building performance. You'll maintain and repair electrical, mechanical, and control systems while using remote monitoring technology to optimize equipment operation. You'll conduct regular rounds, respond to tenant needs, and coordinate with vendors when required, all while maintaining the highest standards of safety and cleanliness. At JLL, we are collectively shaping a brighter way — for our clients, ourselves and our fellow employees — and this position exemplifies that commitment through your essential work keeping facilities running at peak performance What your day-to-day will look like: * Repair and maintain electrical, mechanical, and control systems while maintaining detailed logs of work completed and parts used * Use remote monitoring and control systems to regulate equipment operation and optimize building performance throughout your shift * Conduct appointed rounds as outlined and complete tour sheets, ensuring all systems are operating properly and safely * Monitor fire and smoke alarm equipment and immediately report any issues to the proper designee to maintain life safety systems * Respond to house calls as assigned, resolving tenant issues promptly and professionally to ensure occupant satisfaction * Supervise third-party vendors during maintenance and repair work on electrical, mechanical, and control systems when assigned * Keep all machine rooms and utility spaces neat, clean, and organized while reporting any defective equipment or safety concerns * High school diploma or equivalent * Member of Local 68 in New Jersey or willing to join Local 68 upon hire * Minimum 1-2 years of experience as an Operating Engineer * CFC Certification – EPA certification * Ability to read, analyze, and interpret technical procedures, governmental regulations, and system diagrams * Physical ability to lift and move up to 50 pounds regularly, climb ladders, work in confined spaces, and navigate all areas of the property including stairs, roof areas, and equipment rooms * Blue Seal Refrigeration License and Black Seal Boiler License * Experience with computerized maintenance management systems (CMMS) and building management systems (BMS) * Advanced proficiency with Microsoft Office suite and computer-based building control systems * Strong building systems knowledge across HVAC, electrical, plumbing, and life safety equipment * Experience working in commercial office buildings or similar Class A properties #FMJobs This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 90,209.00 – 90,209.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site –JERSEY CITY, NJ If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our ___. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy ___. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and 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 – including the online application and/or overall selection process – you may email us at ___. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our ___ page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our ___ which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

SENIOR IT INFRASTRUCTURE ENGINEER One of our financial clients in NYC is seeking a senior-level IT Infrastructure Engineer working in a large-scale technology environment with platforms including Linux, and AIX. This position is senior-level, overseeing the day-to-day operations of the team. The responsibilities will include the computer systems, subsystems, storage, and programming products. ONLY SEND YOUR RESUME TO US IF YOU CAN WORK IN THE OFFICE 5 DAYS A WEEK IN NYC. Ensure that the team works together and within the enterprise to ensure that the systems remain available according to the SLA.• 10+ years of experience working as an infrastructure manager in a large-scale environment. • Experience with mainframe systems technologies, subsystems, and internals. If you do not have experience with mainframe systems technologies, Our client will also accept strong experience in AIX/Linux/Unix systems. • Must be self-motivated, able to find answers on his/her own, and experienced in problem determination/analysis/resolution. • Ability to work well and communicate with other departments and technical support staff - including the ability to document and explain problems. • Ability to complete team projects by coordinating team resources and working with other departments and the data center. • Ability to plan, manage time according to schedules, and provide status updates required. • Ability to work with staff to quickly learn new technologies and resolve issues. • Strong interpersonal skills and ability to work well in a team environment. SEND YOUR RESUME TO PLEASE PUT JOB 1137 IN THE SUBJECT BOX

AG Consulting Engineering, PC (AG) a design, engineering and construction management firm headquartered in Manhattan, New York is looking for several Electrical Design Engineers to support a variety of infrastructure projects in New York City. Duration is long term. Employees at AG embrace ownership of each project, bringing quality, innovation, and integrity into each client relationship. The key to AG’s continued success is its commitment to developing and investing in our employees. Position: Electrical Design Engineer Location: New York City Projects: Variety of projects Responsibilities: The candidate’s experience should include a broad range of completed projects related specifically to the MEP consultancy field of electrical engineering. Project experience should include (at a minimum) service utility coordination, primary and secondary power distribution for Federal/State/City/Agencies, lighting, fire alarm, low voltage infrastructure, emergency power systems, UPS design, and coordination with city and state permitting agencies. The candidate will lead the electrical design in a variety of project types and will also be called upon to lead larger multi-disciplined teams as the project manager, interfacing directly with the client. Prepare technical reports/specifications. The position requires excellent verbal and written communication skills, with an emphasis on the ability to organize and present design information to our clients. Special consideration will be given to those candidates who have successfully demonstrated innovative design experience specifically related to sustainable, high performing buildings for public and private sector. Requirements Bachelor’s degree in electrical engineering Minimum five years’ experience designing electrical systems for the built environment. Proficient in AutoCAD and MicroStation or REVIT. A.G. Consulting Engineering, P.C. offers salary commensurate with experience, a comprehensive benefits package which includes medical, dental, disability, life insurance, 401K plan, tuition reimbursement, and more. A.G. Consulting Engineering, P.C. is an Equal Opportunity Employer. AG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by law.

JOB TITLE: DATA AUTOMATION ENGINEER JOB LOCATION: WASHINGTON DC (REMOTE) WAGE RANGE*: 75.00-79.00 PER HOUR JOB NUMBER: SAIJP00038797 JOB DESCRIPTION Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud-based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. Our ideal candidate is mission focused and delivery oriented and applies critical thinking to create innovative functions and solve technical issues.Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Not required, but additional education, certifications, and/or experience are a plus:Experience and/or certifications in Generative AI development, Generative AI for Data Analytics, and solution delivery. Microsoft certification in Azure fundamentals, data engineer, Power BI, AI or AWS certified data engineer. Integration knowledge using enterprise/open source ETL toolsets, REST API, Docker. Experience or exposure to performance fine tuning (indexing, execution plans, views), data profiling and query analytics. Knowledge of security compliance standards with data encryption, cloud virtual networks, routing, firewalls, log analytics, monitors Basic knowledge of ARM or Bicep templates for automation, familiarity with RBAC access controls. Data lineage and impact analysis using tools like Purview, Synapse pipeline tracing, et Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Immediate contract opportunity for Broadcast & Conference Engineer with direct client in New York City, NY. Broadcast Production Technicians are responsible for the operation and quality control of video, audio and data equipment for the Broadcast Facility. The services associated with Broadcast Production Technician include but are not limited to: • Configure and operate production equipment (SD, HD, IP and file based) both in studio and on location, • Robotic, studio and ENG (Electronic News Gathering) camera operation, studio and location audio engineering, • Studio and remote lighting set up and operation, • Camera shading, • Vision mixing, • Teleprompter and character generation set up and operation. • Master control and transmission services, content ingest and management, all services to assist in the generation of the organization's programming and or other content. The position, reports to the relevant contract owner, and requires close interaction and coordination with the organization's production personnel, event organizers, and event coordinators. This Technician must be able to work successfully both supervised and unsupervised. Qualifications: • Minimum of High School diploma and successful graduation from a minimum of two years of related college or other related tertiary academic or technical qualification. Experience: Typically, candidates will be expected to have five or more years of relevant work experience in production systems and operations. Exceptionally candidates who do not have relevant work experience but have suitable technical qualifications will be considered for entry level positions. Familiar with Studio Audio and Video monitoring; Studio communication systems; Digital multi-channel audio production; The operations of audio production console; Audio signal processing; Studio and control room monitoring; Studio communications systems (i.e., intercom, IFB, hybrids and telephone); Experience in the delivery of multiple audio productions; Familiar with monitoring and metering of video and analogue and digital audio signals for quality control; Familiar with analogue and digital video and audio routing and distribution including patch panels. Familiar with end-to-end file and IP broadcast delivery systems. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify® Employer.

Field Service CNC Machining Tools - Paterson, NJ Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders _. Service provider with opening for experienced Service Engineer. Shall install, troubleshoot and repair the following brands of CNC Machinery: • Mitsubishi • Mori Seiki • Mazak • Harding • Okuma • Makino • Other... While working remotely from home, or in the field at a customer location, Technicians must communicate effectively with customer to minimize stress and ensure customer satisfaction. Shall also converse with other technicians when working in tandem, place orders with parts department for parts replacements, and communicate with in house advanced technical support to tackle more advanced tasks in the field. Regional travel required using company service vehicle. Enjoy fully paid travel expenses including lodging, tolls, meals, etc. Benefit from highly competitive compensation and employee benefits packages. Earn paid time off for all major holidays, personal days and more. Grow with a stable, well-known organization! For complete details contact Christopher Moreno at: (609) 584-9000 ext 264 Or submit resume online at: Or email to: Please reference #43048NJ135 when responding. Diedre Moire Corporation Education Requirements: High School Minimum Experience Requirements: 2-5 years Job City Location: Paterson Job State Location: NJ Job Country Location: USA Salary Range: $80,000 to $120,000 Diedre Moire Corporation, Inc. diedremoire.com WE ARE AN EQUAL OPPORTUNITY EMPLOYER and our employment decisions are made without regard to race, color, religion, age, sex, national origin, handicap, disability or marital status. We reasonably accommodate individuals with handicaps, disabilities and bona fide religious beliefs. Jobs Career Position Hiring. CONSIDERED EXPERIENCE INCLUDES: Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders #DiedreMoire #JobSearch #JobHunt #JobOpening #Hiring #Job #Jobs #Careers #Employment #jobposting #cncjobs #ManufacturingJobs #MaintenanceMechanic #FieldServiceJobs #TechnicianJobs DISCLAIMER: We will make every effort to consider applications for all available positions and shall use one or more of the contact methods and addresses indicated in resume or online application. Indicated location may be proximate or may be desirable point of embarkation for paid or unpaid relocation to another venue. Job descriptions may fit single or multiple presently available or anticipated positions and are NOT an offer of employment or contract implied or otherwise. Described compensation is not definite nor precise and may be estimated and approximate and is negotiable depending on market conditions and candidate availability and other factors and is solely at the discretion of employers. Linguistics used herein may use First Person Singular and First Person Plural grammatical person construction for and with the meaning of Third Person Singular and Third Person Plural references. We reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Response to a specific posting or advertisement may result in consideration for other opportunities and not necessarily the incentive or basis of the response. Nothing herein is or may be considered a promise, guarantee, offer, pledge, agreement, contract, or oath. If you submit an application or resume which contains your email address, we will use that email address to communicate with you about this and other positions. We use an email quality control service to maintain security and a remove and dead address filter. To cancel receiving email communications, simply send an email from your address with the word remove"" in the subject line to Or, visit the website at . If you have further concern regarding email received from us, call (609) 584-5499.

About the Role We are seeking an experienced Transmission Planning Engineer to support transmission system planning, modeling, and reliability assessments for a large utility environment. This role requires a self-driven engineer who can independently perform technical studies, collaborate with cross-functional teams, and help strengthen internal engineering capabilities. This role involves performing transmission system planning studies and analyses for bulk power systems.

Overview RECON has successfully completed over 6,000 environmental remediation, geotechnical and mine reclamation projects across North America since 1989. Our team of dedicated employees, financial strength, and large fleet of equipment empower RECON to deliver world class solutions for the complex environmental problems. The Site Engineer position supports field activities and assists Project Managers and Superintendents. They assist with project planning and tracking; material tracking and pricing; and project cost reporting, typically supporting one medium to large-size project. Site Engineers learns the fundamentals of Geotechnical Construction and field technical services. This is a field/project-based leadership position that is focused on site operations. The ideal candidate will be located on the East Coast of the United States and will spend most of their time on project sites throughout the Eastern region. Responsibilities Assists in managing the project schedule, supervises Quality Control (QC) and ensures compliance with QC requirements Coordinates Third Party QC services, implements RECON’s three phase QC program and prepares Daily Production Logs Track materials; perform QC on materials ordered and received Responsible for planning, scheduling, conducting, and coordinating the technical and management aspects of projects, prepares monthly project status reports and change orders Budget monitoring and trend tracking Observes and complies with all company specific site safety programs, assists the Site Safety Officer with accident/incident investigations, finds the root cause and suggests improvements Works independently and conducts tasks with limited supervision Qualifications Bachelor’s Degree in Civil Engineering, Construction Management, or similar type degree required Four years of engineering experience or similar trade; Construction field experience preferred Experience with surveying or CAD Experience using a GPS unit to layout and check working grades Experience demonstrating progressive increase in financial/supervisory accountability and authority Excellent written and verbal communication skills Knowledge of Microsoft Office products such as Word, Excel, and Project Must be self-motivated and able to work effectively with little or no direct supervision Must possess multi-tasking skills Additional Information Salary Range: $70,000.00 - $85,000.00 per year Actual salary will be based on a variety of factors including relevant internal and external experience, knowledge, skills, scope of job, geographical location or other factors permitted by law Benefits: 401(k) + matching Health, Dental, Vision insurance Life insurance Paid time off (PTO) Holiday Pay RECON is a Keller Company and offers a variety of employee benefits including competitive compensation; medical, dental and vision insurance; company paid vacation, sick leave, company paid holidays; 401K retirement plan with 6% company match, a casual dress code and work environment, and much more. Recon is an Equal Opportunity Employer. We encourage qualified women, minorities, veterans, individuals with disabilities, and others to apply.

Our client, a major bank in New York City, is looking for Senior Windows Engineer who has strong M365, Exchange (Online and On-Premises) This is hybrid commute, 5 days per 2 weeks in the office (Midtown Manhattan). ** Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range 170-185K, plus around 15-20% bonus, plus great benefits package. Senior Windows Engineer Deep expertise in Microsoft 365, Exchange (Online and On‑Premises), Microsoft Teams and enterprise messaging platforms. In this role, you will be responsible for technical leadership, architecture-level decision making, and delivery of complex messaging and infrastructure initiatives in a large, regulated enterprise environment. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:

Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders * K8s mastery (multi-region clusters, sericie mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) * Experience building platforms that support LLM training, fine-tuning, or high-throughput inference * Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies * History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: Nuclear Engineer (Naval Reactors Engineer). Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensi

Title: Field Support Engineer / Desktop Support Location: Lake Success, NY (Onsite) Experience: 3–5 Years Role Overview: We are looking for a Field Support Engineer with strong desktop support experience to provide onsite technical support, troubleshoot hardware/software issues, and support end users in a fast-paced environment. Key Skills: • Desktop Support / Field Support experience, • Hardware & software troubleshooting, • PC deployment & peripheral setup, • Windows desktop support, • Deploy and configure PCs, laptops, and peripherals, • Troubleshoot desktop, connectivity, and user issues, • Coordinate with vendors and internal IT teams, • Perform maintenance and upgrades on desktop systems, • Escalate unresolved issues appropriately, • Willingness to work onsite and rotational shifts, • Candidate must have their own vehicle

A well-established food manufacturing company in Totowa, NJ is adding a senior-level Automation Engineer to its second shift team. This isn't a role where you wait to be told what to do. You will own the floor from 3:00 PM to midnight, keep production running independently, and contribute to a major automation buildout that is already underway. ⠀ 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗠𝗣𝗔𝗡𝗬 Pave Talent is hiring on behalf of our client, a privately held, family-owned food manufacturing company based in Totowa, NJ with over 100 years of combined management experience. They produce for a portfolio of well-known national food service and retail brands from a single, world-class facility. The company has effectively doubled its production capacity in the last three years and is now expanding aggressively into robotics and next-generation automation -- a robotic palletizer is already installed, with vision inspection systems on the way. ⠀ 𝗧𝗛𝗘 𝗢𝗣𝗣𝗢𝗥𝗧𝗨𝗡𝗜𝗧𝗬 You will report to the Engineering Manager and serve as the senior automation presence on the second shift (3:00 PM to 12:00 AM). The plant runs up to 24 hours a day, seven days a week. When something goes wrong on your shift, you are the person who resolves it -- not escalates it. Beyond production support, you will contribute to a significant pipeline of capital projects including new equipment controls, a plant-wide transport system rewrite, and an HMI migration from FactoryTalk View SE to Ignition Perspective. A companion junior role is also being filled for the morning shift. ⠀ 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨'𝗟𝗟 𝗗𝗢 • Own automation troubleshooting and production support on second shift, operating independently with minimal supervision, • Write, modify, and improve PLC code (Rockwell Studio 5000 / ControlLogix) for production systems and capital projects, • Troubleshoot point-level sensors, VFDs, burner controllers, conveyors, operator interfaces, and networking issues as they arise on the floor, • Contribute to the plant's HMI migration from FactoryTalk View SE to Ignition Perspective and ongoing ISA-101 standardization, • Execute controls and automation upgrades for production equipment and the plant-wide automated transport system, • Build and design electrical control panels for capital projects using AutoCAD Electrical or Visio, • Support integration of automation systems with the company's Plex ERP platform, • Collaborate with the morning shift engineering team on cross-shift projects and handoffs, • Support growing robotics and end-of-line automation initiatives including the newly installed robotic palletizer and upcoming vision inspection systems ⠀ 𝗥𝗘𝗔𝗟 𝗧𝗔𝗟𝗞 The Engineering Manager is direct about what this shift requires: "We're looking for someone that's more of a self-starter and can do things unguided." You will have support from the broader engineering team, but second shift means real autonomy. If you need someone looking over your shoulder to feel confident, this isn't the right fit. If you thrive with ownership and want your work to be visible, this is exactly the right setup. Production runs around the clock. On-call coverage is part of the job, and occasionally that means a weekend. When it does, you get that time back. There is no overtime pay -- the flexibility goes both ways. ⠀ 𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱: • PLC programming experience -- ability to write and modify code confidently, not just troubleshoot, • Electrical troubleshooting skills: read and interpret schematics and control circuits, • Self-starter who can work independently with minimal supervision on second shift, • Comfortable in a live production environment where uptime is everything, • 3 to 5 years of experience in manufacturing, factory automation, system integration, or machine building, • Ability to speak to past project work with technical specificity -- not just buzzwords, • Authorized to work in the US without sponsorship 𝗕𝗼𝗻𝘂𝘀 𝗣𝗼𝗶𝗻𝘁𝘀: • Rockwell Studio 5000 / Logix Designer (ControlLogix or CompactLogix), • Ignition Perspective or SCADA system experience, • FactoryTalk View SE/ME, • Electrical control panel design (AutoCAD Electrical or Visio), • Bilingual English/Spanish (preferred for second shift, not required), • ERP integration experience (Plex or similar), • Background from system integrator, machine builder, or manufacturing company ⠀ 𝗖𝗢𝗠𝗣𝗘𝗡𝗦𝗔𝗧𝗜𝗢𝗡 𝗔𝗡𝗗 𝗕𝗘𝗡𝗘𝗙𝗜𝗧𝗦 𝗕𝗮𝘀𝗲 𝗦𝗮𝗹𝗮𝗿𝘆: $125,000 𝗕𝗼𝗻𝘂𝘀: Performance-based; historically up to 15% end-of-year, plus raises up to 10% 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲: Second shift, 3:00 PM to 12:00 AM 𝗢𝗻-𝗖𝗮𝗹𝗹: Rotating; comp time provided for weekend coverage (no overtime pay) 𝗕𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹: English/Spanish preferred for this shift, not required 𝗪𝗼𝗿𝗸 𝗠𝗼𝗱𝗲𝗹: Fully on-site, Totowa, NJ (easily accessible from most of Northern NJ) 𝗖𝘂𝗹𝘁𝘂𝗿𝗲: Family-owned, tight-knit team -- strong performers have direct visibility to upper management and internal mobility is real ⠀ Interested? Apply via LinkedIn and we'll be in touch. Confidential search; your application is fully private. ⠀ 𝗣𝗮𝘃𝗲 𝗧𝗮𝗹𝗲𝗻𝘁 | 𝗛𝗶𝗿𝗶𝗻𝗴 𝗥𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗲𝗱

Job DescriptionIndustry leader? Well, how about an industry creator?! At WalkMe, now an SAP company, we’re not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to pinpoint and resolve digital friction, regain control of their tech stack, and be better equipped to manage future change. With over 1,600 clients, including 55 Fortune 100 companies and 6 Fortune 10 companies working with us daily, we’re transforming how enterprises interact with their technology. So, if you’re an expert in your field, and looking for an opportunity to work, collaborate, and innovate with some of the most talented people out there, WalkMe is the place for you! We are seeking a Customer Success Engineering (CSE) Manager to lead, grow, and enable a high-performing CSE organization. This leader will oversee delivery execution, customer outcomes, capacity planning, and operational excellence — while driving adoption, value realization, retention, and strategic impact across enterprise accounts. The CSE Manager will set the bar for solution advising excellence, evolving a proactive methodology where engineers leverage insights, anticipate risks, reduce escalations, and accelerate customer success. This role blends people leadership, delivery oversight, enablement strategy, and cross-functional partnership.What You'll OwnTeam & People Leadership • Manage, mentor, and develop a team of CSEs — improving technical depth, advising skills, and business understanding., • Build a culture of proactivity, ownership, continuous improvement, outcome focus, and customer value creation., • Ensure CSEs demonstrate core IC competencies: solution advising, implementation, enablement, reporting/AI insight usage, and proactive risk identification., • Run structured coaching, 1:1s, shadow programs, learning paths, and development planning., • Lead hiring, capability leveling, career pathing, and talent calibration., • Drive the hiring and development of a new CSE team in 2026 — building foundational capabilities, onboarding structure, and the operating rhythm for a growing organization.Delivery & Execution Management, • Oversee customer engagements focused on configuration, implementation, enablement, optimization, and ongoing impact delivery., • Maintain visibility into assignment timelines, capacity, blockers, and outcomes., • Ensure best practices in solution design, build, rollout, testing, and production readiness., • Validate that CSEs understand customer business cases and translate them into high-impact WalkMe solutions., • Engage directly with customers — particularly for critical, strategic, or high-risk engagements — to ensure the right plan, approach, and solution has been delivered., • Guide CSEs in delivering workshops, training sessions, office hours, and ongoing learning programs that accelerate adoption and maturity.Customer Value, Adoption & Retention, • Drive CSAT, feature utilization, time-to-value, expansion influence, and renewal outcomes., • Ensure the team monitors usage signals, reports, workflows, and AI insights to identify risks early., • Support escalations for complex or strategic accounts while coaching IC ownership and self-resolution., • Promote a value-focused advising approach rather than task-focused execution.Operational Excellence & Methodology Ownership, • Build and scale playbooks, documentation, frameworks, and delivery patterns for repeatable success., • Reinforce proactive work methodology — structured communication, early risk flagging, mitigation planning., • Optimize tooling, reporting, assignment intake, forecasting, and utilization workflows., • Collaborate with CSM, TAs, Sales, Support, and Product to strengthen cross-functional alignment and execution., • Translate field learnings into product feedback, feature requests, and usability improvement recommendations.Enablement & Scaling Content, • Create and expand knowledge assets: guides, workflows, documentation, best-practice standards., • Support customer and internal enablement programs such as training, workshops, and learning series., • Define skill frameworks, expectations, and development tracks for CSE professional growth.What You Need to SucceedQualifications, • 5+ years in customer-facing technical roles (CSE, Solutions Engineer, Technical Advisor, PS/Enablement roles, etc.), • 2+ years of people management or leadership experience preferred., • Strong technical understanding of SaaS/web technologies (HTML/CSS/JS), integrations, and data workflows., • Ability to understand business needs and translate them into effective WalkMe solutions., • Skilled in report interpretation and AI insight usage to drive decisions and actions., • Excellent communication and stakeholder management across business and technical teams., • Strong organizational skills with ability to manage multiple workstreams and priorities., • Passion for coaching talent, improving operational maturity, and driving measurable outcomes.Nice to Have, • Experience with WalkMe or digital adoption platforms., • Familiarity with SAP, enterprise integration patterns, IDP/SSO configuration, extensions/snippet deployment., • Background in customer enablement, advisory programs, or technical training., • Experience scaling self-serve maturity and knowledge resources.Success in the role, • CSE team delivers consistently and with high quality across strategic work., • Customer adoption grows through proactive insights, advising maturity, and business alignment., • Escalations decrease as risks are identified and mitigated early., • Playbooks, documentation, and repeatable delivery assets reduce variability and accelerate execution., • CSEs operate with proactive rhythm — leveraging data/AI signals to drive outcomes rather than respond to issues.

About Prismera Prismera builds AI for commercial real estate portfolio operations. Our platform ingests unstructured portfolio documents and turns them into structured intelligence that powers how institutional owners and operators manage portfolios worth billions. We handle everything from document understanding and data extraction to agentic portfolio workflows and deal execution. We are backed by industry-leading executives, trusted by publicly traded REITs and national operators, and scaling into the largest institutional CRE firms in the world. The Role This is a founding design engineering role. You will own how Prismera looks, feels, and works: the interface design, the interaction patterns, the frontend implementation, and the systems that tie it all together. The core problem is this: commercial real estate portfolio operations are enormously complex. Hundreds of workflows, thousands of documents, multiple user types ranging from a 25-year-old analyst to a 60-year-old portfolio manager who has been doing this for decades. The instinct most platforms have is to solve complexity with more surface area. More tabs, more pages, more menus. That is not what we are building. You will figure out how to collapse that complexity into something so simple it feels obvious, without losing any of the power underneath. You will write production code. You will ship what you design. You will build relationships with customers across our client base and use those relationships to inform every decision you make about the product. If you think of yourself as someone who hands off Figma files, this is not the right fit. What You'll Do • Own the end-to-end design and frontend implementation of Prismera's product. You design it, you build it, you ship it., • Define the UX patterns for agentic AI workflows: how users interact with AI that acts autonomously on their behalf, how they build trust in its outputs, how they intervene when they need to. This is a new design space with very few established patterns., • Solve the information density problem: enterprise CRE users need access to massive amounts of data without being buried in it. You will design interfaces that surface the right information at the right time and hide everything else., • Build a design system and component library that scales as the product grows, without accumulating technical debt along the way., • Build and maintain direct relationships with an array of enterprise customers. You will be on calls, in Slack channels, and in their workflows regularly. What you learn from those relationships is what drives product decisions. Who You Are • 1-3 years of experience as a design engineer, product designer who codes, or frontend engineer with strong design instincts. What matters is the quality of what you've shipped, not the title you held., • You can go from concept to production code. You are fluent in React and modern frontend tooling, and you write clean, maintainable code., • You think about design in terms of user psychology, not just aesthetics. You care about button radius, but you care more about whether the person using the interface actually understands what is happening and what to do next., • You have strong opinions on simplicity. You believe the hardest design problem is figuring out what to leave out., • You are comfortable designing for users with wildly different levels of technical sophistication using the same product., • Experience designing for AI-native or agentic products is a major plus. If you've thought seriously about how humans should interact with autonomous AI systems, we want to hear about it., • You move fast, ship constantly, and refine based on real usage., • You want to be close to customers. You see direct client relationships not as a distraction from design work, but as the most important input to it., • Bonus: experience with enterprise SaaS, financial services, or complex data-heavy applications. Why Now We have enterprise customers, real revenue, and a product in a market where the incumbent software is decades old and was never designed for what AI makes possible. You would be joining at the earliest stage with the most leverage: not to maintain what exists, but to build what comes next.

Company Description Fluorotherm Polymers Inc., founded in the 1990s, builds on the expertise of its team members with decades of experience at leading fluoropolymer manufacturers such as DuPont and Norton. We specialize in innovative fluoropolymer solutions, continuously expanding into new industries like 3D printing and advanced manufacturing. Our dedication to creativity, quality, and customer service has earned us a loyal global customer base. Based in New Jersey, our ISO 9001:2015-certified manufacturing facility underscores our commitment to delivering high-end, reliable products. At Fluorotherm, we thrive on collaborating with diverse clients to develop advanced applications and enhance existing technologies. We are seeking a hands-on, Manufacturing Process Engineer to support and improve our plastics extrusion operations while contributing to R&D and custom heat exchanger projects. This role is ideal for a mechanical or chemical engineer with 2–3 years of experience who thrives in a fast-paced manufacturing environment and is eager to learn, troubleshoot, and implement practical improvements on the floor. This position will focus on quality control, process optimization, and applied R&D, with significant interaction with production teams. Key Responsibilities Quality Control & Process Improvements (30%) • Evaluate and recommend new QC equipment and measurement technologies, • Develop, document, and implement Standard Operating Procedures (SOPs), • Train operators and staff on quality standards and inspection protocols, • Review and approve inspection reports to ensure compliance, • Work directly with operators to troubleshoot and improve extrusion processes, • Diagnose, repair, and optimize extrusion line components, including:, • Calibrators, • Vacuum tank components, • In-line measurement systems, • Review customer inquiries and translate requirements into practical technical designs, • Support quoting by developing preliminary engineering concepts, • Generate and issue Manufacturing Orders (MOs) for production, • Conduct R&D on new and existing resins for extrusion applications, • Explore and implement new technologies (including AI and advanced tools) to improve quality and efficiency, • Support medical and specialty product development projects as needed, • Ensure new processes are documented and standardized via SOPs Qualifications Required • Completed minimum Bachelor’s degree in Mechanical Engineering or Chemical Engineering, • 2+ years of experience in plastics extrusion (strongly preferred), • Working knowledge of quality control processes and measurement tools, • Hands-on problem-solving ability in a manufacturing environment, • Ability to work cross-functionally with operators, production, and management, • US Work authorization Preferred • Experience with process improvement / lean manufacturing, • Familiarity with resin behavior and extrusion parameters, • Exposure to custom manufacturing or engineered products, • Experience designing or supporting industrial equipment or systems

Our manufacturing client in Irvington, NJ is looking for a Manufacturing Engineer to support the rubber injection molding operations for medium voltage electrical products by optimizing production processes, troubleshooting equipment, and ensuring high-quality output. This person will act as a "bridge" between product development and production. Monday-Friday, start time 8am Salary starting from $135,000/year, commensurate with experience Responsibilities to include: • Coordinate with production floor staff to identify and trouble-shoot issues, taking corrective and proactive actions to ensure quality., • Utilization of CAD to create, modify, analyze, and optimize designs, significantly improving engineering productivity and design accuracy. Some small fixture design will be required., • Conduct root cause analysis to identify production issues related to quality, efficiency, or equipment failures; implement corrective actions effectively., • Develop and maintain process control plans, inspection criteria, and SOP's for molded components., • Collaborate with QC to investigate non-conformances., • Participate in new product introduction and process qualification activities., • Collaborate with cross-functional teams to drive continuous improvement and reduce scrap and to improve automation and productivity., • Lead project scheduling efforts for new product introductions and process upgrades, ensuring timely completion within budget constraints., • Bachelor's degree in Mechanical, Industrial or Chemical Engineering required, • 3+ years experience working within a manufacturing facility required, • Strong proficiency using CAD software required., • Knowledge of lean manufacturing methodologies and continuous improvement strategies., • Ability to perform root cause analysis using structured problem-solving techniques., • Effective communication skills to collaborate across departments including manufacturing operations and engineering teams. This position is integral to maintaining high-quality production standards while fostering innovation through advanced manufacturing techniques., • Bilingual a plus, • Knowledge of rubber and/or plastic injection molding operations highly desired.

Job DescriptionCustomer Success Manager Remote (U.S.) | Preference for East Coast Time Zone Direct Hire / Permanent PlacementHireNow Staffing is actively recruiting a seasoned, highly skilled Customer Success Manager on behalf of a valued client partner in the wholesale trade infrastructure startup sector. HireNow Staffing is acting as a direct placement partner for this Customer Success Manager opportunity.We are seeking a strategic, hands-on post-sales professional who can manage a high-value account portfolio, drive adoption, uncover expansion opportunities, and guide customers through operational and technical workflows. This role requires strong business acumen, consultative communication, and the ability to support customers using ERP-connected systems in complex operating environments.HireNow Disqualifier: Candidates with jumpy or unstable resumes will not be accepted or interviewed. We are prioritizing professionals with consistent tenure, progressive growth, and measurable customer impact.Key Responsibilities • Own a portfolio of approximately 70–100 customer accounts, driving retention, usage growth, payment volume, and expansion opportunities, • Conduct deep discovery sessions to understand customer workflows, operational pain points, and strategic goals, • Lead executive conversations with CFOs, Controllers, Operations leaders, and finance stakeholders through QBRs and ongoing engagement, • Drive adoption of platform capabilities such as automation tools, payment workflows, collections features, and credit-related solutions, • Monitor account health metrics and proactively build action plans to mitigate churn or underutilization risk, • Partner with Product teams to convert customer feedback into actionable enhancements and roadmap insights, • Collaborate cross-functionally with Sales, Implementation, Support, and Product teams to ensure successful outcomes, • Use AI tools, automation workflows, and data insights to improve internal efficiency and customer experience, • Identify expansion opportunities through consultative account planning and workflow optimization Required Qualifications (Highly Important), • 3–5+ years of experience in Customer Success, Account Management, Solutions Engineering, or strategic post-sales roles within a technically complex SaaS environment, • Experience supporting ERP-integrated software or operational systems such as SAP S/4HANA, NetSuite, Workday, or similar platforms, • Proven experience working with non-technical customers in industries such as distribution, wholesale, food service, logistics, hospitality, or blue-collar operations, • Strong executive communication skills with experience leading business reviews and stakeholder conversations, • Ability to explain technical workflows and product capabilities clearly to non-technical audiences, • Discovery-oriented mindset with strong problem-solving and consultative instincts, • Ability to manage a high-volume portfolio while maintaining service quality and growth focus, • Stable employment history with clear progression; candidates with jumpy resumes will not be considered Preferred Qualifications (Strongly Valued), • Experience at Series A–C startups or as an early post-sales hire building customer success processes, • Background in fintech, payments, accounts receivable, automation, or workflow software, • Hospitality, restaurant, food & beverage, or supply chain industry background, • Experience driving product adoption and expansion revenue beyond renewals, • Familiarity with AI tools and automation platforms for workflow efficiency, • Solutions Engineering experience blended with commercial customer ownership, • Strong analytical skills with ability to use account data to prioritize actions HireNow Disqualifiers, • Renewal-heavy CSM backgrounds where 50%+ of role was limited to renewals, • Unable to explain technical concepts clearly to customers, • Multiple consecutive job stints under two years without clear rationale, • No ERP-related software or operational systems exposure, • Base Salary: $96,000 – $128,000, • On-Target Earnings: $120,000 – $160,000+ (flexibility for exceptional candidates), • Additional Compensation: Meaningful equity + full benefits package, • Work Location: Fully Remote (U.S.) | Preference for East Coast Time Zone

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Cybersecurity Engineer - Blue Team Type: Contract Compensation: $85–$140/hour Location: Remote Role Responsibilities • Design and build benchmark tasks grounded in real SOC and detection engineering work., • Construct realistic evaluation environments, including multi-host networks, Active Directory, and cloud control planes., • Define what "correct" looks like for blue-team AI reasoning and build infrastructure to measure it reproducibly at scale., • Translate blue-team workflow experience into rigorous evaluation design. Must-Have • Hands-on blue-team experience in detection engineering, threat hunting, incident response, or malware analysis., • Upload resume, • AI interview based on your resume

Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity Location: New York, NY (Onsite) Compensation: $200K–$300K base + equity About the Company Our client is an early-stage productivity startup building a next-generation platform designed to replace fragmented office tools with a faster, more structured workspace for teams and knowledge workers. They’ve raised $20M+ and are on a mission to redefine how people collaborate and get work done. Role Overview We are looking for a Design Engineer who sits at the intersection of product, design, and frontend engineering. This is a hands-on role where you’ll own features from concept through implementation, helping shape the product experience and the technical direction of the platform. This role is ideal for someone who is passionate about both craft and performance, cares deeply about user experience, and thrives in a fast-paced, early-stage environment. What You’ll Do • Collaborate closely with designers and product managers to translate UX concepts into high-quality, performant features, • Build and maintain complex frontend components using TypeScript and React, • Take ownership of features end-to-end, including design decisions, implementation, and iteration, • Ensure that the product is performant, accessible, and visually polished, • Contribute to technical architecture discussions and help define best practices for the team Qualifications • Strong experience with TypeScript and React (Bonus for Rust), • Proven ability to design and implement clean, maintainable, and performant frontend code, • Hands-on experience bridging design and engineering, translating mockups into fully functional features, • Familiarity with collaborative, editor-style, or productivity-focused applications is a plus, • Excellent problem-solving skills and a product-oriented mindset, • Strong communication and collaboration skills Why Join • High-impact role with ownership over product and features, • Work at the intersection of design and engineering in a design-driven team, • Competitive compensation: $200K–$300K base + equity, • Early-stage startup environment with room to grow and influence the product direction, • Onsite in New York, with a team passionate about building a world-class product Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Join JLL as a Senior Reliability Engineer and drive cutting-edge asset management strategies! You'll revolutionize how we maintain buildings and infrastructure by integrating NOC systems, energy management, and lifecycle planning while analyzing real-time data to optimize performance. Lead root cause failure analyses, conduct maturity assessments, and develop cost-effective action plans that keep critical equipment running smoothly—all while collaborating with our Engineering Services COE to deliver measurable, outcomes-based results that exceed client expectations. On-site full-time at one of our client's facilities in NJ. Here is some of your day: • Deploy strategic asset management roadmaps by integrating BAS data, fault detection systems, maintenance programs, and capital planning to develop lifecycle analyses and repair-versus-replacement recommendations, • Execute site-level reliability programs through periodic audits focused on safety, regulatory compliance, maintenance effectiveness, cost savings, and energy conservation to increase system reliability, • Create and optimize preventative maintenance tasks using Reliability Centered Maintenance approaches, ranking asset criticality and defining cost-beneficial proactive maintenance strategies, • Lead root cause failure analysis investigations on equipment failures, prescribing corrective actions and monitoring follow-up effectiveness to prevent future occurrences, • Implement condition-based maintenance programs utilizing predictive technologies including vibration analysis, oil analysis, infrared thermography, ultrasound, and motor current analysis for rotating equipment, • Develop risk mitigation strategies for critical assets deployable across the portfolio while investigating new technologies for reliability improvements, • Maintain accurate CMMS records including equipment specifications, failure history, and BOM while developing Key Performance Indicators for equipment reliability (MTBF, planned/unplanned work ratios, cost metrics), • Execute multi-discipline facility condition assessments across multiple locations, documenting asset conditions to evaluate remaining useful life and compile portfolio-wide findings for capital planning, • Coordinate engineers, technicians, and third-party resources to accomplish cost-effective reliability improvements while supporting commissioning activities for upgrade and construction projects, • Collaborate actively with Maintenance and Planning groups to ensure appropriate reliability metrics are in place and equipment history is analyzed for future trending Here is who we are looking for: Required • 10+ years implementing RCM and CbM/PdM methods with extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems in commercial, manufacturing, laboratory, or distribution facilities, • Proven experience operating building automation systems, energy management platforms, and CMMS/EAM systems with strong data analytics and capital planning capabilities, • Critical environment expertise preferred (data centers, laboratories, manufacturing) with practical experience developing and optimizing maintenance strategies, lifecycle costing, and total cost of ownership analysis, • Background in multi-disciplinary projects applying system integration techniques across diverse asset types, with experience implementing Management Systems (ISO9001, ISO55001), • Exceptional ability to analyze incomplete data sets, deliver informed recommendations, and communicate complex technical information through clear written and oral reports, • Strong Microsoft Excel proficiency for manipulating large data sets with systematic attention to detail and advanced organizational skills to balance multiple stakeholder requirements, • Proven training, coaching, and mentoring abilities using various tools and techniques while interpreting organizational goals into actionable departmental activities, • Self-motivated collaborative leader with strong interpersonal skills who embraces change, develops innovative solutions, challenges the status quo, and works effectively without direct supervision Preferred • Certified Reliability Leader, • Certified Maintenance Reliability Professional, • Level 2 thermography certification, • Level 2 vibration certification, • Level 2 ultrasound certification, • BS in an Engineering discipline, mechanical or electrical This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 140,000.00 – 160,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site –Bridgewater, NJ, Carteret, NJ, JERSEY CITY, NJ If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our ___. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy ___. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and 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 – including the online application and/or overall selection process – you may email us at ___. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our ___ page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our ___ which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

As Senior Software Engineer, you will be working on a product squad to develop new features and enhancements for our product. Work directly with an engineering manager and other software engineers. Experience leading engineering projects and providing technical leadership to a team.

As a Technical Implementation Consultant, you will own the technical delivery of IN-Gauge implementations, ensuring seamless data integration from customer systems and reliable platform activation. At FPG, implementation means more than activation. Solutions Engineer supporting PMS, POS, or hospital

As a Staff Software Engineer you will work cross-team, be a go-to technical expert, and help architect and tackle our most complex technical challenges. We integrate with a multitude of third-parties to support our compliance, risk, and security policies. You are an excellent communicator, for both

About Standard Bots Standard Bot’s mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries. What you'll do: We’re looking for seasoned and skilled technical leaders to help architect the future of robotics through best in class, modern software engineering practices. As a Senior Software Engineer you will work with other engineers, organizational leaders, and users to advance the products which directly impact our users and unlock entirely new potential for them. This role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. The office is fully equipped with robots for demos and testing! Responsibilities: * Identify, scope, and drive high impact technical and user facing projects * Advise leadership on technical decisions and strategy * Mentor and advise other engineers as well as peers on technical and personal advancement * Drive technical decision making and implementation through hands-on and technically deep work Tech Stack: * Front-end: React, Typescript * Back-end: Node.js, Python, C++ * Kubernetes * Docker * Github Actions Who you are We do not require or favor any background in robotics We’re looking for engineers who are self driven, optimistic, creative, and resourceful. We have no requirements for a background in robotics, but find most success with engineers excited by the domain and looking to apply their expertise and experience in a new area. Our ideal candidate will be open to doing approximately 70% back-end and 30% front-end work with flexibility to sway more towards one or the other, depending on current projects and team needs. Skills you’ll bring: * Experience: You have a strong technical background, including 5-10 years of experience working in complex environments * Growth + Optimism: You are excited by new domains and challenges, and eager to pick up new context to accelerate your impact * Clarity of Communication: You excel in written and verbal communication and enjoy leveraging your skills to support your peers * Impact Driven: You relentlessly seek user impact and value execution over technical idealism * Proactive Simplicity: You prioritize simplicity, reliability, and velocity and proactively identify opportunities to improve proposed implementations or incumbent systems * Excelling in Ambitious Environments: You excel in dynamic and ambitious environments, working with a diverse group of individuals and backgrounds Compensation and Benefits: The salary range for this role is $180,000 to $250,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Who is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The impact you can have To sustain the growth of our customer portfolio and to extend our services offering, we are looking for Support Engineers. On top of joining a fast-growing and innovative company, you will have the opportunity to assist our customers around the world in deploying/using our solutions and adopting software engineering best practices as a whole. As a Support Engineer, you will contribute to Sonar products adoption and integration. You will provide an individualized level of service to our customers. You will guide them in finding the right implementation and advocate the best way to use our products. You will also investigate and solve customer issues in a timely manner. In Sonar, you will represent the customer voice in product discussions. • Help customers integrate our solutions across their development pipeline. It means helping with the technical integration with developer IDE, ALMs, and Continuous Integration chain; the integration to software lifecycle (SCM, build, test), and the integration to existing business applications (identity provider, database, etc.)., • Drive technical issues to resolution: from the qualification of customer concerns to conducting an in-depth technical investigation and managing customer relationships all along the way., • Collaborate with Sales and Consultants to improve overall customer experience and make sure that our Service offering brings maximum value to our customers., • Work with the rest of the team to listen, challenge, and refine customers feedback to feed discussions with product teams and shape product evolutions., • Have a voice in enhancing the way we work., • Software engineering best practices, with at least 3-5 years of experience in supporting, or maintaining and delivering high-quality software., • 2+ years experience using or administrating a DevOps pipeline: SCM (e.g. Git, SVN), IDE (e.g. Visual Studio, IntelliJ), CI (e.g. Jenkins Pipelines, Azure DevOps, BitBucket, GitLab). More than acronyms, these are the tools that our customers use and that our products integrate with., • Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure, • Investigation skills to understand problems in their context and the ability to reproduce these scenarios., • Team player, receiving and giving feedback as well as sharing knowledge., • Can-do attitude: challenging status quo, leading and contributing to key improvements and innovations., • Excellent English, verbal/written communication skills, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization., • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances., • We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk., • Generous discretionary Company Growth Bonus, paid annually., • Commuting: Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.

We are seeking a highly skilled and experienced Senior Guidewire ClaimCenter Engineer to join our dynamic team. The ideal candidate will have 10+ years of professional experience with a strong background in Guidewire ClaimCenter, Java, and Spring Boot. This role requires an individual who is not only proficient in implementing and customizing Guidewire solutions but also capable of reverse engineering existing codebases to enhance system functionality and optimize performance. Key Responsibilities: • Design, Develop, and maintain Guidewire ClaimCenter solutions tailored to business needs., • Reverse Engineer Existing Codebases to understand legacy implementations and propose improvements., • Collaborate with cross-functional teams, including business analysts, architects, and other developers, to deliver high-quality solutions., • Integrate Guidewire ClaimCenter with external systems using robust APIs and frameworks., • Ensure scalability, performance, and reliability of ClaimCenter implementations., • Troubleshoot and resolve complex technical issues in ClaimCenter and its integrations., • Contribute to the planning and execution of system upgrades, migrations, and performance tuning., • 10+ years of professional experience in software development with a strong focus on Guidewire ClaimCenter., • Expert-level knowledge of Guidewire ClaimCenter Configuration and Integration development., • Proficiency in Java (Java 21 preferred) with a solid understanding of object-oriented principles, design patterns, and modular programming., • Experience in Spring Boot (3.4.x preferred) for building RESTful APIs and microservices., • Proven ability to reverse engineer and analyze existing codebases to extract business logic and improve system design., • Strong understanding of Guidewire Data Model, Gosu scripting, and Guidewire Studio., • Hands-on experience with integration frameworks, including SOAP and REST APIs., • Knowledge of CI/CD pipelines and DevOps practices (e.g., Jenkins, Docker, Kubernetes) is a plus., • Understanding of Agile/Scrum methodologies and working within Agile teams. Preferred Qualifications: • Guidewire certification (e.g., ClaimCenter Specialist, Configuration Developer, Integration Developer) is highly desirable., • Experience with cloud platforms like AWS, Azure, or Google Cloud., • Exposure to modern front-end frameworks (e.g., Angular, React) for Guidewire add-ons., • Knowledge of performance tuning and optimization in Guidewire implementations., • Excellent communication and interpersonal skills.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Serve as a primary technical point of contact for Government engineering and product stakeholders. OpenA

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud ___! More about our team and company: • Fleetio overview video: ___, • Our careers page: ___ Fleetio is seeking a Staff Software Engineer to be the founding engineer on our new Leverage team. The Leverage team's mandate is to make every person at Fleetio more productive by building the knowledge infrastructure that connects our internal data to the AI tools employees already use every day. At other companies, this work falls under "productivity engineering" or "internal tools." We call it Leverage because the scope is broader: serve the entire company, not just engineering. This is not a blank slate. Fleetio engineers are already using AI tools daily, and an organic ecosystem of shared skills and integrations has emerged across the engineering org. You will build on that momentum, not start from zero. Your job is to add the enterprise capabilities this ecosystem needs to scale: identity and auth, structured access to internal data, governance, and quality standards. You will design and build the context layer that connects Fleetio's distributed knowledge to the AI tools our team already uses. You will work directly with the Leverage team lead, and together you will define the technical direction for everything this team builds. This is a remote opportunity open to candidates in the United States, Canada, or Mexico. • Watch our culture videos: ___, • Engineering culture, interview process, and videos: ___, • Fleetio Go overview video: ___, • More about the Fleetio platform: ___, • API docs: ___, • Test drive Fleetio to get an even better feel for what we're building: ___ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. You are a staff-level, systems-minded engineer who gets energy from building tools that make other people more effective. You have deep experience integrating across SaaS APIs and are comfortable navigating the messiness of inconsistent auth models, pagination, rate limits, and data formats. You would rather build one system that enables 50 integrations than build 50 one-off integrations. You are comfortable operating in ambiguous, cross-functional spaces. You talk to users before you write code. You care about adoption, not just shipping, and you understand that internal tools fail when they have bad UX or no adoption strategy. You bring strong opinions about developer productivity, loosely held, and you communicate clearly with both engineers and non-technical stakeholders. You are product-minded and team-oriented, willing to hear others' perspectives and educate on best practices. Excellent communication skills, particularly written, are essential. • Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make., • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough., • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly., • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content., • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity., • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't., • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions)., • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization., • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge., • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale., • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows., • 5+ years of professional experience building production software, • Strong integration engineering skills: comfort working across dozens of APIs, authentication schemes (OAuth, API keys, SAML, service accounts), data formats, and rate limits, • Experience with protocol-based architectures (MCP, LSP, or similar), SDKs, CLI tooling, or developer platform design. You understand how to expose structured data to client tools in a way that scales., • Full-stack capabilities: you will build backend services, CLI tools, and internal UIs, • Experience with identity and access management (Okta, SSO, or similar) and understanding of how to pass user identity through to downstream systems, • Experience building and consuming APIs and working with external integrations, • Solid experience solving challenging architecture problems with good design, • Experience with unit testing frameworks and CI/CD pipelines, • Excellent communication skills, particularly written, • Be sure to mention "coffee" in your application so we know you actually read this, • Comfort working in a Rails shop, • Experience building internal tools, developer platforms, or developer experience tooling, • Track record integrating across multiple SaaS APIs, with firsthand knowledge of inconsistent auth, pagination, and rate limiting, • Experience on a small team (2-5 people) where you owned significant portions of the product, • Hands-on experience with AI coding tools (Copilot, Codex) and an understanding of what makes them effective vs. ineffective, • Experience at a company that invests seriously in internal tooling (Stripe, Shopify, Block, etc.), • Familiarity with workflow automation platforms (n8n, Zapier, Workato, or similar), • Experience contributing to or maintaining shared developer tooling ecosystems (internal package registries, shared libraries, plugin systems), • Familiarity with AI agent skill/tool architectures (Codex skills, MCP tools, function calling patterns), • Experience with Snowflake, PostgreSQL, or similar data platforms, • You know a thing or two about the fleet management industry, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

Polymarket is the world’s largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized “house,” Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We’re growing fast: both in volume ($21B traded in 2025) and in adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media, powered by fast, reliable, and deeply technical market infrastructure. Polymarket is looking for a backend engineer to help build and scale the core exchange infrastructure that powers our markets. This role is focused on high-performance, low-latency backend systems that must be correct, fast, and resilient under real-world trading load. You’ll be a core individual contributor working with other senior engineers to design, implement, and optimize the systems that sit at the heart of Polymarket’s exchange. This is a high-ownership role with minimal bureaucracy and a strong bias toward execution. We’re looking for an experienced backend engineer who enjoys working close to the metal and solving hard distributed systems problems. * Build the exchange backend: Design and implement scalable, low-latency backend services that power Polymarket’s exchange, using C/C++ or other performance-oriented systems languages (Go, Rust, Java). * Optimize for performance & scale: Profile, tune, and debug systems with a focus on latency, throughput, memory usage, and correctness in production. * Design distributed systems: Build and operate robust APIs, data pipelines, and event-driven systems using messaging and streaming platforms (Kafka, Pulsar, RabbitMQ). * Own reliability & operations: Reinforce security, availability, performance, and scalability across backend systems, and participate in diagnosing and resolving production issues. * Collaborate cross-functionally: Work closely with engineers across product, infra, and data to ensure tight integration between the exchange and the broader platform. * Contribute to code quality: Participate in code reviews, design discussions, and architectural decisions to maintain a high bar for engineering excellence. * 4–7+ years of professional backend development experience, with strong proficiency in C/C++ (preferred) or another systems language (Go, Rust, Java). * Solid understanding of algorithms, data structures, concurrency, memory management, and experience building low-latency, high-throughput systems. * Comfortable working on complex systems end-to-end, debugging production issues on Linux, and taking responsibility for correctness and performance. * (Plus) Experience in trading systems, HFT, gaming, telecom, or other latency-sensitive domains * (Plus) Production experience with Kafka, Pulsar, or similar streaming platforms at scale * (Plus) Familiarity with gRPC, Protobuf, ZeroMQ, or similar technologies * (Plus) Experience deploying systems in cloud environments (AWS/GCP) and using containers * Competitive salary & equity * Unlimited PTO, Health, Vision, & Dental coverage * 401k match * Hardware setup — new MacBook Pro, big display, & accessories.

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: -Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. -Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. -Write code to ensure the performance and reliability of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. -Work with program management and engineers to implement and document complex and evolving requirements. -Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. -Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: -Must be a US Citizen. -Must be able to obtain a Public Trust Clearance. -7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. -Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. -Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply them. -Experience with relational database, such as, PostgreSQL. -Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and knowledge of DHS standards a plus. -Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. -Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance -401k -Flexible Spending Account (Health, Dependent Care, and Commuter) -Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: ___ or contact: Email: ___ #CJ$112,597.33 - $152,810.66 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a hands-on Lead CloudOps Engineer to oversee the reliability, scalability, automation, and day-to-day operations of our GCP-based cloud platform. You will drive infrastructure automation, improve developer workflows, enhance observability, and ensure secure, stable platform operations. While GCP is the primary environment, the role includes operational responsibility for an existing AWS enterprise environment, requiring the ability to troubleshoot issues, maintain existing systems, and support partner teams without owning major AWS architectural redesigns. This position is ideal for someone who thrives in cloud-native environments, enjoys automation, and balances engineering rigor with operational excellence. This is a founding member of the CloudOps team in the US and has a potential to grow into future leadership and management positions. • Lead day-to-day monitoring and management of GCP infrastructure, focusing on reliability, uptime, security, performance, and compliance, • Manage GKE clusters, including cluster lifecycle, node pools, workload deployment, and operational best practices., • Implement and maintain GCP networking: VPCs, firewall rules, service networking, and private connectivity., • Support data and application teams using GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Run., • Own and maintain Terraform configurations for GCP and AWS using reusable modules, remote state, policy checks, and automation pipelines., • Automate environment provisioning, scaling, and configuration with CI/CD tools such as Cloud Build, GitHub Actions, ArgoCD, or Jenkins., • Build tooling and workflows that improve developer productivity (automated builds, deployments, secrets management, ephemeral environments)., • Build and enhance observability stacks using Cloud Monitoring, Prometheus/Grafana, ELK/Elastic, or OpenTelemetry., • Lead incident response, troubleshooting, RCA generation, and post-incident improvement efforts., • Define and manage SLOs, error budgets, and operational runbooks., • Ensure secure configurations across cloud services, Kubernetes workloads, secrets storage, and network boundaries., • Implement guardrails and compliance automation using IAM best practices, GCP Organization Policies, and Terraform checks., • Work with security and compliance teams to meet HIPAA, HITRUST, SOC 2, or internal audit requirements., • Maintain stability of a pre-existing AWS environment by performing tasks such as:, • Reviewing IAM roles and security posture, • Supporting workloads on EC2, ECS, EKS, RDS, S3, • Troubleshooting infrastructure or networking issues, • Managing configurations, upgrades, and patching, • Assist teams that rely on AWS-hosted systems and ensure smooth integration with GCP-centric operations., • Make small-to-medium improvements or automation updates for AWS infrastructure using Terraform or CI/CD workflows., • Mentor DevOps, CloudOps, and Platform Engineers through pair programming, reviews, and best-practice sharing., • Partner with development, data, and security teams to build highly reliable, cloud-native applications and pipelines., • Establish operational standards, documentation, and playbooks for cloud operations., • 8+ years of DevOps, CloudOps, or platform engineering experience., • Deep hands-on experience with GCP, including:, • GKE, workload identity, cluster networking, • VPC design, firewalls, load balancers, • BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, • Cloud Run, Cloud Functions, • IAM, KMS, Secret Manager, • Strong expertise with Terraform, including modules, workspaces, and governance patterns., • Strong CI/CD experience with Git-based workflows and pipeline automation., • Solid understanding of Linux, networking basics, containerization, and distributed systems., • Experience supporting production workloads in a regulated environment (HIPAA, HITRUST, SOC 2 or similar)., • Practical experience supporting AWS operations (not architecture-heavy), including:, • EC2, EKS, and ALB/NLB, • S3, RDS, CloudWatch, • IAM troubleshooting, • Network troubleshooting (VPC, Security Groups, Route 53), • Comfortable maintaining and improving existing AWS infrastructure., • Experience with GitOps tools (ArgoCD, Flux)., • Familiarity with service mesh (Istio, Anthos) or advanced networking., • Experience with policy-as-code (OPA/Gatekeeper or Sentinel)., • Background with FinOps/cost optimization., • Experience building internal developer platforms or platform engineering teams., • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa Why Join Us? Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: • Competitive salary and benefits package., • Flexible working arrangements (remote or hybrid options available)., • The opportunity to work on life-changing AI technology that directly impacts patient outcomes., • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity., • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.