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Why Zensar? We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! Zensar is looking for a Senior Power Platform Developer in the United States (%100 Remote). This position is open for Full Time with excellent benefits and professional growth opportunities. Key Responsibilities Build and maintain Power Apps (Canvas and Model-Driven) to streamline supply chain workflows Develop and optimize Power Automate flows for approvals, notifications, and task automation Design and manage Dataverse entities, including tables, relationships, and business rules Enhance workflows using AI Builder for intelligent automation Integrate external systems using APIs, custom connectors, and Azure services Implement JavaScript-based web resources within model-driven applications Collaborate with cross-functional teams to deliver scalable and efficient solutions Provide accurate effort estimates and proactively identify potential risks/blockers Maintain clear and well-structured technical documentation Follow Agile development practices and software development lifecycle standards Required Qualifications 5–8 years of experience in Power Platform / Power Apps development and maintenance Bachelor’s degree in Computer Science, Engineering, Mathematics, Business, or related field Strong expertise in Power Apps, Power Automate, and Dataverse Experience with API integrations and Azure services Solid troubleshooting and debugging skills Preferred / Nice-to-Have Skills Experience with Supply Chain or Procurement processes Ability to document solution architecture and workflow design for long-term maintainability Familiarity with Azure AI Studio Experience with Azure Functions and API Management Exposure to Azure Integration Services (AIS) Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired. All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions. Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice

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 Discover JOPP: Job Placement Program Contact & get a roadmap: https://www.synergisticit.com/contact-us/ 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 Work with java based application Perform application development for custom applications Designing and developing for enterprise class application using java technologies Enhancing existing java web applications Integrate application business layer with external application components Provide production support web applications Implement innovative web/software development technologies Using a variety of java based technologies Augment the application development team Manage the application development team Develop mobile applications and application interfaces Do analysis, design and hands on java development Develop software applications in client/server environment and/or web deployed applications Understand application requirements and develop software solutions Conduct testing on other developer's code Supporting an enterprise business application Develop web services components for cross-application solutions Implement complex web and database applications Develop and maintain web applications using C, (WPF, MVC, WCF, ASP) Develop components of multitier web application

Role: Python Developer (W2) Location: Jersey City, New Jersey Duration: 6 Months Contract to Hire Roles and Responsibilities: Formal training or certification on software engineering concepts and 12 plus years of applied experience including 5 plus years in a team management role. Handson practical experience in system design, application development, testing, and operational stability. Hands on experience building AWS servicesbased applications and python applications. Hands on experience of python and developing pythonbased applications with API Hands on experience building Java Microservices, Spark etc. Strong data warehouse knowledge such as Snowflake, or database knowledge such as Oracle or Postgres. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle. Additional Skills: Python, AWS Note: Pay Range: $60- $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. #LI-HM1

email your resume to mike@kbtstech.com Location: Carson City, NV Duration: 12 Months Contract (Remote work) W2 role. No C2C DB2 DBA---ZOS Project Overview . The core application runs on System Z with multiple CICS and DB2 environments secured by RACF. The core application is COBOL/DB2 programs that run both in batch and CICS environments. The consultant will be working on the following but not limited to: ZOS DB2 DBA consultant must: • Administer DB2 database and subsystems. o Monitor storage, support capacity planning, support securing ZOS resources, perform routine maintenance tasks, assist with data migration tasks, troubleshoot and resolve issues. • Log activity and time using time tracking software (Jira) daily. • Clone databases and establish additional application environments. • DB2 database and dataset backup and recovery. • Refresh data, as needed. • Clone and establish additional application environments, as needed. • Aid in data conversion projects and extract data to staging environments, as needed. • Maintain privacy and security of data. • Support Application Lifecycle, application development tools, as needed. • Migrate database changes. • Coordinate upgrades to ZOS, CICS, DB2, Administration tools, and application development tools. • Coordinate DR testing and support data conversion and migration. • Discuss business requirements and help with application and database design. • Support CICS environments. • Have experience administering complex DB2 environments with multiple subsystems. • Be experienced working on ZOS tools and utilities - TSO, ISPF, SDSF, JCL, DFSORT, ICETOOL, DFDSS, DFSMS, DFHSM, OMVS, RACF, REXX/CLIST. • Be experienced with using DB2 tools - SPUFI, QMF, DB2 Admin Tool or equivalent, DB2 Object Compare or equivalent, IBM Data Studio, OMEGAMON or equivalent, Query Monitor or equivalent. • Be proficient with DB2 utilities and DB2 backup and recovery. • Be able to implement and migrate database changes. • Have experience securing database objects. • Have expertise in evaluating and tuning SQL and experience tuning DB2 subsystem. • Have knowledge of DB2 Attachment facilities. • Have good knowledge of COBOL/CICS/DB2 application programming environment. • Have good communication, documentation and user requirement gathering skills. • Be proficient in analyzing, debugging, and troubleshooting issues and ABENDs. • Be a team player who can work with other contractors/consultants and permanent employees under a complex team structure.

The O&S Cloud Engineer is responsible for the deployment, provisioning, hardening, and optimization of cloud infrastructure and related cloud services, with a program focus on Oracle Cloud Infrastructure (OCI). This role designs, builds, maintains, and enhances cloud environments to support mission-critical operations, ensuring security, scalability, performance, and cost efficiency. The engineer collaborates with cross ‑ functional teams and developers to implement resilient cloud-native solutions and automation frameworks, supporting both internal stakeholders and external clients. Primary Responsibilities Design, build, and deploy cloud-based computing services at scale within OCI. Migrate systems and applications to OCI, ensuring secure, stable, and high-performing environments. Formulate detailed network, storage, and compute design specifications to support dynamic cloud operations. Manage cloud services including Identity and Access Management, Security Groups, and OCI-native services. Utilize infrastructure-as-code tools (Terraform, Ansible), scripting (PowerShell), and CI/CD pipelines (CloudBees Jenkins) to automate and orchestrate cloud environments. Develop scripts, templates, and automation for provisioning and configuring cloud resources. Collaborate with internal and external teams to translate technical objectives into actionable requirements. Review operational requirements with project teams and client stakeholders to support deployment and ongoing operations. Develop and maintain documentation for cloud infrastructure, network design, best practices, and operational procedures. Serve as a liaison to clients, participating in meetings to ensure technical needs are met. Support cost management, performance optimization, disaster recovery planning, and cloud security initiatives. Assist in identifying and planning new cloud services, features, and technical capabilities. Program-Specific Technical Skills (OCI Focus) Windows Active Directory Windows Server Administration PowerShell scripting Oracle Database Oracle Linux OS Administration Oracle Cloud Infrastructure (OCI) Terraform Ansible CloudBees Jenkins Automation and cloud-native architecture expertise Minimum Qualifications Bachelor’s Degree or equivalent relevant experience CSP Associate-level cloud certification in AWS, Azure, OCI, or Google Cloud (Professional-level certification preferred) 8–15 years of IT experience, including: 3–4 years of cloud engineering experience on one or more major platforms 4+ years supporting or debugging Windows or Linux operating systems in an engineering or administrative role Candidates MUST have a current secret clearance, Top Secret preferred. Additional Job Skills Advanced knowledge of Identity and Access Management (IAM) and shared security responsibilities Strong understanding of cloud-based backup and storage concepts Hands-on experience supporting enterprise server, backup, and storage solutions in the cloud Strong analytical and problem-solving skills Advanced troubleshooting skills across storage, backups, server OS, and networks Proficiency in cloud command-line interfaces and advanced scripting Excellent documentation, communication, collaboration, and priority management skills Knowledge of information lifecycle management best practices Maintain and upgrade secure windows environment through windows firewall Running the windows operating system Coordinate and ensure successful implementation and support of windows infrastructure Troubleshoot and diagnose any windows related problems Test new server and network infrastructure Provide hardware and software support for desktop operating systems and servers relating to desktop infrastructure Configure and maintain server hardware Occur in the hardware/software infrastructure Manage the migration/consolidation of server hardware, software and data Analyzing and implementing server operating systems Provide administration, server support, management, and server side network configuration for multiple clients Perform server and security audits Administer patch management server automation system Configure client and server network software, and perform software upgrades Implement advanced network configurations within the server configuration Recognize and troubleshoot networking and operating problems with server hardware and application software Design new virtual server and storage configuration Deploy servers, storage and related hardware/software Determining needed hardware and software upgrades of servers and network Secure Client's server infrastructure by applying all applicable security patches to Client's 4600+ windows servers per published Primary Responsibilities Design, build, and deploy cloud-based computing services at scale within OCI. Migrate systems and applications to OCI, ensuring secure, stable, and high-performing environments. Formulate detailed network, storage, and compute design specifications to support dynamic cloud operations. Manage cloud services including Identity and Access Management, Security Groups, and OCI-native services. Utilize infrastructure-as-code tools (Terraform, Ansible), scripting (PowerShell), and CI/CD pipelines (CloudBees Jenkins) to automate and orchestrate cloud environments. Develop scripts, templates, and automation for provisioning and configuring cloud resources. Collaborate with internal and external teams to translate technical objectives into actionable requirements. Review operational requirements with project teams and client stakeholders to support deployment and ongoing operations. Develop and maintain documentation for cloud infrastructure, network design, best practices, and operational procedures. Serve as a liaison to clients, participating in meetings to ensure technical needs are met. Support cost management, performance optimization, disaster recovery planning, and cloud security initiatives. Assist in identifying and planning new cloud services, features, and technical capabilities.

Job Description: The Electrical Engineer is responsible for developing, integrating and supporting hardware and embedded firmware for new product development and sustaining engineering projects. Some Duties and Responsibilities: General circuit and system design Analysis of general and specialized components, circuits, signals and systems Circuit simulation using SPICE modeling Schematic capture using Altium Designer® Hardware and system development and integration Hardware troubleshooting and analysis Embedded firmware development, primarily in embedded C/C++ programming languages, using IAR Embedded Workbench Embedded firmware debugging and analysis Recruiter: Jason Oliver Phone: 860-530-7987

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Abdul at (224) 507-1295 or Saravanakumar at (224) 507-1183 Title: AI Developer - Hybrid Duration: 6 Months Location: Palo Alto, CA Hybrid 3 days onsite a week Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. About the Team The Enterprise AI team is client's internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations our job is to make client more efficient, one AI-powered workflow at a time. This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across client to bring AI capabilities to life. About the Role As an Applied AI Developer on the Enterprise AI team, you'll evaluate where AI fits, build the tools and platforms that make it practical, and enable teams across client to adopt modern AI development patterns including LLM orchestration, agentic workflows, and model governance. You stay hands-on and outcomes-oriented: prototyping, evaluating emerging AI technologies, and shipping solutions that make the organization measurably more efficient. What You'll Do Think AI-first assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale. Design agentic systems tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows. Define and implement AI governance patterns guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy. Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams. Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions. What We're Looking For 5 years of professional software engineering, with at least 2 years focused on applied AI in production systems. Proficient in Python and/or Go; comfortable reading and writing in the other. Proven experience building and scaling multi-agent or agent-driven systems in production real-world operational ownership, not just simple LLM workflows. Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns. Good understanding of cloud-native environments (GCP and/or AWS) compute, storage, networking, and managed AI services. Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC). Comfortable working with backend databases (SQL and NoSQL) writing queries, understanding data models, and building data access layers that enforce role-based access control. Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact. A force-multiplier on the team you raise the bar for clarity of thinking, system design standards, and team execution. Nice to Have Experience with AI evaluation tooling (Langfuse, LangSmith, Braintrust, or custom eval frameworks). Experience building custom MCP servers, not just consuming them. Familiarity with containerization and orchestration (Docker, Kubernetes). AI-native builder with high velocity and ownership intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production. Hands-on experience with inference cost optimization managing spend as agent deployments scale. Experience using AI-powered coding agents (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) to accelerate development workflows rapid prototyping, code generation, debugging, and test writing. Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines vector databases, embedding models, chunking strategies, and hybrid search for building agents that answer questions grounded in enterprise documentation. About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status. REST, Python, NoSQL, GitHub, GraphQL, AI

Senior Data Engineer Job Number: 26-00677 Find your next opportunity in the Financial Services Industry. ECLARO is looking for a Senior Data Engineer for our client in Remote, NY. ECLARO’s client’s provides retirement savings, health & investment management and insurance services. If you’re up to the challenge, then take a chance at this rewarding opportunity Position Overview: The Senior Data Engineer, leads the design and implementation of robust data solutions across multiple domains, driving technical excellence and scalability. This role mentor others, shape best practices, and influence data architecture. This role is expected to proactively identify opportunities to improve systems, drive reliability, and collaborate with product and business stakeholder to again data strategy and company goals. Responsibilities: Design, build and scale robust, high-performing batch and real-time data pipelines. Drive architectural decisions for transformation logic, storage formats, and schema design. Lead complex data ingestion efforts and mentor peers on performance optimization and scalability. Lead the design and optimization of complex data models and storage architecture, balancing performance, scalability, and usability. Partner with stakeholders to translate business requirements into robust data structures. Contribute significantly to delivery planning and execution, mentor junior engineers on agile approaches, and ensure timely completion of tasks by managing dependencies and escalating delivery challenges. Design and standardize advanced data validation frameworks and testing strategies across platforms. Lead root cause analysis and data quality issues and mentor others on quality best practices. Partner with stakeholders to define SLAs and quality metrics. Leads efforts to automate, monitor, and scale deployment of production-grade data pipelines. Design resilient workflows with retry logic, failure handling, and resource optimization. Proactively address performance and reliability issues and contribute to runbooks and on-call documentation. Lead the creation and maintenance of detailed technical documentation for complex pipelines, data models, and system integrations. Establish and enforce documentation and development standards across projects. Mentor junior engineers on clear, consistent coding and documentation habits. Act as a key technical partner to product, analytics and data science teams. Lead design, discussions, communicate complex data trade-offs with clarity, and proactively surface risks and blockers. Support collaborative planning and mentor junior team members in effective communication and partnership. Required Qualifications: 5-9 years in data engineering, data modeling, and pipeline development Expert in SQL and Python for developing and debugging scalable data pipelines. Deep hands-on experience with Azure and Databricks, including Delta Live Tables and Unity Catalog Skilled with data integration/orchestration tools (SnapLogic, Azure Data Factory, Jenkins) Strong use of infrastructure-as-code tools like Terraform to manage deployment pipelines. Design and optimize API integration in pipelines. Familiar with data quality observability tools such as Soda or similar. Proficient in version control and CI/CD workflows using GitHub. Advanced understanding of dimensional modeling and data warehousing concepts. Comfortable leading efforts in agile environments and strong ownership and collaboration. Pay Rate: $65.00-$70.00/Hour. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Lester Candilado jan.candilado@eclaro.com 6466800168 Lester Candilado | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Title: Platform Administrator Location: Work from Home Note: This is a W2 contract role – C2C, 1099, & 3 rd party candidates WILL NOT be considered Under direct supervision, The Platform Administrator will design, code, configure, test, debug, deploy, document, and maintain programs using a variety of software development toolkits, programming languages, testing/verification applications, and other tools, while adhering to specific development best practices and quality standards. They will assist in gathering business requirements and translating that information into detailed technical specifications from which programs will be written or configured, as well as validating that the proposed applications align with the architectural design and with the business needs. They will assist process leadership for work groups and product/service delivery strategy and work plans. Other responsibilities may include assisting with troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements and/or applying patches. Position Duties: · Under direct supervision, assist in analyzing and compiling the customer’s business requirements · Work with more senior team members in researching and preparing program specifications and then with design and development, including coding/configuring, testing, debugging, and documenting and implementation of those requirements into customer-focused programming solutions that adhere to the development policies and standards, and align with the Information Services architectural design and customer’s business needs · Assist with coding, testing, and implementation of software enhancements and/or applying patches and other maintenance of existing applications, and help with the preparation of the appropriate documentation to record modifications · Make opportunities to expand skills by learning from more experienced Application Development Analysts · Gain knowledge from team members on how to drive risk assessment by developing, implementing, and evaluating system design strategies, specifications, and models · Provide process leadership for work groups, help in product/service delivery strategy and work plans, and understand and own the resolution for product implementation and/or functionality issues to provide troubleshooting support Position Qualifications: · 2-4 years of experience working with Salesforce Sales & Marketing Cloud · Experience supporting marketing campaigns, CRM operations, or marketing automation tools · An understanding of CRM data structures and campaign workflows · Experience supporting decentralized or multi-team marketing environments preferred · Familiarity with healthcare, nonprofit, or regulated industries preferred · A minimum of a Bachelor’s Degree in Computer Science or other related field; Salesforce Administrator or Salesforce Marketing Cloud Certifications preferred .

Requisition Number: 28356 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $78,406.00 - $167,600.00 Security Clearance: Secret Level of Experience: Mid This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems. HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Job Description Huntington Ingalls Industries, Mission Technologies Division (HII‑MT), is seeking multi-level Radar Software Engineers to join our growing software development team supporting advanced radar systems. Junior-level candidates will work under the mentorship of senior engineers to design, code, test, and integrate software components, gaining hands-on experience with the full software development lifecycle while contributing to the creation of robust, real-time software solutions. They will collaborate closely with internal team members and external partner vendors to support development and testing activities. More experienced Radar Software Engineers will contribute more independently across the entire lifecycle, including requirements analysis, evaluation of external vendor software, architectural design, implementation, integration, testing, deployment, and maintenance. These engineers will help solve complex technical challenges, work with real-time embedded systems, and collaborate in a cross-functional environment. Together, these roles offer exceptional opportunities to grow your career while supporting mission-critical radar capabilities. This position is located at Wright Patterson Air Force Base (WPAFB), Ohio and is within a commutable distance from Beavercreek, Fairborn, Dayton, and Riverside. #LI-HB1 Essential Job Responsibilities Junior Radar Software Engineer: Contributes to the design, development, analysis, and testing of radar software. Writes clean, maintainable, and efficient code in languages such as C++ and Python under the guidance of senior engineers. Assists in the integration of software components with hardware. Participates in debugging and troubleshooting software issues. Supports the development and maintenance of software documentation and participates in code reviews. Collaborate with systems and hardware engineers to ensure software meets system requirements. Mid-Level Radar Software Engineer: Designs, develops, tests, and maintains real-time embedded software for radar applications using languages such as C++ and Python. Implements and optimizes complex radar algorithms and signal processing techniques developed in MATLAB and/or Python into software. Performs software integration with target hardware and supports system-level testing and verification. Troubleshoots and resolves software and system issues. Creates and maintains software documentation and participates actively in design and code reviews. Collaborate with systems, hardware, and test engineers to ensure software solutions meet performance and quality standards Senior Radar Software Engineer: Designs, develops, tests, and maintains real-time embedded software for radar applications using languages such as C++ and Python. Implements and optimizes complex radar algorithms and signal processing techniques developed in MATLAB and/or Python into software. Performs software integration with target hardware and supports system-level testing and verification. Troubleshoots and resolves software and system issues. Creates and maintains software documentation and participates actively in design and code reviews. Collaborate with systems, hardware, and test engineers to ensure software solutions meet performance and quality standards Minimum Qualifications Junior Radar Software Engineer : 2 years relevant experience with Bachelors in Computer Science, Computer Engineering or related field; 0 years relevant experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience. Academic background or project experience in software development, preferably with C++ or Python. Understanding of object-oriented design and software development principles. An interest in or familiarity with radar systems or signal processing concepts. Familiarity with Linux or a Real-Time Operating System (RTOS) is a plus. An understanding of multi-threading, concurrency, and meeting timing constraints. A strong foundation in linear algebra and basic physics. Clearance:Secret Security Clearance to start Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks Mid-Level Radar Software Engineer: 5 years relevant experience with Bachelors in Computer Science, Computer Engineering or related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience. Proven experience developing software in C++ and/or Python. Strong experience in object-oriented design, data structures, and algorithms. Knowledge of radar systems, digital signal processing (DSP), or related domains. Proficiency with development in a Linux or Real-Time Operating System (RTOS) environment. Experience with software configuration management and version control tools in a CI/CD Pipeline environment using tools such as GitLab. Demonstrated proficiency in developing and maintaining a robust unit testing framework, including creating tests, improving code coverage, analyzing results, and developing action plans. Hands-on experience with software/hardware integration, testing, and debugging. Responsible for implementing and reporting on software development activities. Clearance:Secret Security Clearance to start Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks Senior Radar Software Engineer: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience. Proven experience developing software in C++ and/or Python. Strong experience in object-oriented design, data structures, and algorithms. Knowledge of radar systems, digital signal processing (DSP), or related domains. Proficiency with development in a Linux or Real-Time Operating System (RTOS) environment. Experience with software configuration management and version control tools in a CI/CD Pipeline environment using tools such as GitLab. Demonstrated proficiency in developing and maintaining a robust unit testing framework, including creating tests, improving code coverage, analyzing results, and developing action plans. Hands-on experience with software/hardware integration, testing, and debugging. Responsible for implementing and reporting on software development activities. Clearance:Secret Security Clearance to start Must be able to obtain and maintain a TS/SCI security clearance with enhanced security checks Preferred Requirements Junior Radar Software Engineer: Basic knowledge of software configuration management tools in a CI/CD Pipeline environment (e.g., GitLab). Basic knowledge of building, deploying, using, and maintaining reusable and reliable containerized images (Docker, Kubernetes, etc.). Familiarity with a unit testing framework. Willingness to participate in hands-on software integration and testing. Strong desire to learn and contribute to a collaborative team environment. Supports software development planning and reporting activities. Mid-Level Radar Software Engineer: Experience with software design patterns and an understanding of software architecture. Experience with performance profiling and optimization. Able to translate system-level requirements into software design specifications. Building, deploying, using, and maintaining reusable and reliable containerized images (Docker, Kubernetes, etc.). Developing software using a CI/CD Pipeline in a Cloud environment. Experience mentoring junior engineers is a plus. Knowledge and hands-on experience with multi-threading, concurrency, and meeting timing constraints. Work experience using linear algebra and basic physics. Senior Radar Software Engineer: Experience with software design patterns and an understanding of software architecture. Experience with performance profiling and optimization. Able to translate system-level requirements into software design specifications. Building, deploying, using, and maintaining reusable and reliable containerized images (Docker, Kubernetes, etc.). Developing software using a CI/CD Pipeline in a Cloud environment. Experience mentoring junior engineers is a plus. Knowledge and hands-on experience with multi-threading, concurrency, and meeting timing constraints. Work experience using linear algebra and basic physics. This position is available at multiple levels. Candidates will be evaluated at the appropriate level based on education and relevant experience Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Salary Range: $84,137 - $125,000 Research, design, develop, test, or supervise the manufacturing and installation of electrical equipment, components, or systems for commercial, industrial, military, or scientific use. The Software Engineer will design, develop, integrate, and test advanced software applications with a primary focus on Graphical User Interface (GUI) development using OpenGL and Microsoft Visual Studio. The role requires strong knowledge of real-time rendering, visualization, and user interaction design, as well as the ability to interface software applications with external Radio Frequency (RF) systems. The engineer will collaborate with cross-functional teams, including hardware, systems, and test engineers, to deliver high-performance, mission-focused software solutions for Department of Defense (DoD) programs. Essential Job Functions: Design and implement GUI applications using OpenGL, C/C++, and Microsoft Visual Studio to support real-time visualization and system control using state of the art GUIs. Develop, integrate, and validate software interfaces that communicate with external RF systems, radios, and hardware components via standard communications protocols (Ethernet, HP-IB/GPIB, USB, and Standard Commands for Programmable Instruments [SCPI]). Implement data visualization, signal monitoring, and control modules aligned with system-level requirements. Collaborate with systems, RF, test, and hardware engineers to define communication protocols and ensure seamless software-hardware integration. Optimize GUI performance for real-time responsiveness, rendering efficiency, and reliability. Develop and maintain software documentation, including design descriptions, interface specifications, and test procedures. Participate in code reviews, system integration events, and software configuration management processes. Troubleshoot and resolve software defects, interface issues, and performance bottlenecks. Support lab testing, field demonstrations, and customer design reviews as needed. Ensure all development activities adhere to internal quality standards and relevant Navy Systems Engineering Technical Reviews (SETR) compliance requirements. Knowledgeable with DoDI 5000.02 Adaptive Acquisition Framework (AAF) systems engineering methodology. Required skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachlors degree in Computer Science, Software Engineering, Electrical Engineering, or related technical field and a minimum of 5 years’ experience Must be eligible to obtain and maintain a security clearance. 3–8+ years of experience in software development with strong proficiency in C/C++. Demonstrated experience designing and implementing OpenGL-based GUIs. Experience with OpenGL Shading Language (GLSL), DirectX, or modern rendering pipelines. Strong experience with Microsoft Visual Studio development environment. Experience integrating software with RF systems, radios, or external hardware interfaces. Knowledge of communication protocols such as TCP/IP, UDP, HP-IB/GPIB, USB, serial communication, SCPI or custom hardware interfaces. Proficiency with version control tools (e.g., Git). Strong debugging, problem-solving, and analytical skills. Ability to work in a fast-paced engineering environment and collaborate with multidisciplinary teams. Desired Skills Experience in embedded systems or real-time software development. Familiarity with signal processing, RF fundamentals, or wireless communication concepts. Prior experience developing software for DoW, aerospace, or mission-critical applications. Knowledge of Agile/Scrum development methodologies.

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: https://www.synergisticit.com/contact-us/ 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

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‑Focused Path 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 Discover JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ 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

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‐Focused Path 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, Client, Banking, Wayfair, Client, Client, 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 Client JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ 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

Company Description Zealogics Inc specializes in IT and Engineering Services, providing innovative solutions across Mechanical, Electronics, and Software platforms to facilitate digital transformation. With a focus on customer-centric product strategies and automation frameworks, Zealogics streamlines processes to deliver high-quality results. Serving Fortune 500 enterprises and OEMs, the company prioritizes client satisfaction by connecting experienced professionals to address complex challenges. Integrity and a commitment to long-term partnerships define Zealogics, as they strive to provide their clients with tangible value and world-class services for both full-time and contractual needs. Role Description We are seeking an AI Automation QA Manager for a contract role with Zealogics Inc. This hybrid position, based in North Bergen, NJ, offers a combination of onsite and work-from-home flexibility. The AI Automation QA Manager will oversee automation quality assurance processes for AI systems, develop and manage testing strategies, and ensure software aligns with business requirements. Daily responsibilities will include leading automation testing efforts, collaborating across cross-functional teams, creating automation frameworks, and analyzing results to enhance continuous improvement processes. Qualifications • Proficiency in Automation Testing, developing QA methodologies, and creating test automation scripts, • Knowledge of AI and machine learning systems, algorithms, and frameworks, • Experience with test planning, design, and execution to validate software functionality and quality, • Strong abilities in problem-solving, debugging, and applying improvements, • Expertise with tools such as Selenium, JIRA, and similar QA automation platforms, • Strong communication, organizational, and time-management skills, • Ability to collaborate effectively with cross-functional teams and manage projects within deadlines, • Educational background in Computer Science, Engineering, or a related discipline (Bachelor’s degree preferred), • Experience in the IT or Engineering sector is advantageous but not required, • Familiarity with Agile/Scrum methodologies is a plus

DevOps Engineer, AI Infrastructure | NYC | Confidential — Global Alternative Asset Manager We're partnering with a leading alternative asset management holding company to find a DevOps Engineer who will own the infrastructure layer underneath their AI platform. This firm operates across asset management, reinsurance, alternative credit, and energy — and they are actively shipping AI agents into production across all of it. The modern AWS foundation is in place and the AI platform is taking shape. What's being built now is the deployment, runtime, and operational backbone that the rest of the firm will build on. This is not a support role. You will own meaningful, hard problems at the center of a fast-moving AI engineering org. The Role You'll sit on the AI team at the holdings level, embedded at the center of the firm's AI buildout. You'll partner closely with platform engineers on shared infrastructure decisions, with forward-deployed AI engineers on what colleagues across the firm need to ship, and with existing infrastructure and security teams on how AI workloads fit the firm's broader posture. This is a hands-on, high-ownership role. You will carry real responsibility from day one. What You'll Own Deployment Infrastructure Build and operate deployment pipelines purpose-built for agentic systems — where what's shipping isn't a deterministic service but a system whose behavior depends on prompts, tools, models, and context that all change independently. Runtime & Orchestration Build runtime infrastructure for agentic workloads on Kubernetes, including orchestration of long-running multi-step jobs, autoscaling for bursty agent traffic, and the lifecycle management these workloads demand. Observability Make agent behavior observable end-to-end. When an agent takes ten steps to accomplish something, you can see every step, every tool call, every input and output — and trace failures to root cause in minutes, not hours. Security Posture Own the security posture of agentic systems in production: the secrets and permissioning model that scopes what agents can do, defenses against prompt injection and data exfiltration, tool-use sandboxing, and clear audit trails for every action an agent takes. Incident Response & On-Call Carry your share of incident response for AI workloads in production and write the runbooks that let the rest of the team respond as confidently as you do. Platform Primitives Spot where infrastructure should be productized into shared tooling, and partner with platform engineers to build it once, well. What We're Looking For • 8-12 years running production infrastructure that real users depend on, with hands-on experience owning deploys, on-call, and incident response, • Deep AWS experience and infrastructure-as-code discipline, with the judgment to know when to use a managed service versus building your own, • Strong Kubernetes fluency — operating clusters in production, debugging workload issues, reasoning about networking, scheduling, and security primitives, • First-principles debugging instincts: when something fails intermittently, you can trace it through the load balancer, TLS handshake, DNS resolver, OIDC flow, and upstream API without guessing, • Security mindset built in from the start — you think about blast radius and least privilege before you ship, not after, • Strong scripting and automation skills, with enough range to read and contribute to application code when the problem calls for it, • Clear communicator who can translate what AI engineers need into infrastructure that actually serves them, • Must have existing work authorization, • Requires on-site 5 days a week (Manhattan) Nice to Have • Hands-on experience building agents, including tool-use orchestration and multi-step workflows, • Familiarity with workflow orchestration for durable, long-running execution (Temporal or similar), • Experience deploying and operating LLM applications in production, including evaluation harnesses, guardrails, and rollback strategies, • Experience building developer platforms or internal tooling that engineers actually enjoy using, • Familiarity with Snowflake

Job Overview We are seeking a highly motivated Data Engineer to join our Retail & Wealth technology team. The ideal candidate will possess strong expertise in SQL, data engineering, quality engineering fundamentals, and scripting, with experience supporting large-scale data platforms and AI-driven initiatives. This role will focus on building, enhancing, and maintaining data pipelines, ensuring data quality, and enabling analytics and AI use cases across business functions. Key Responsibilities • Design, develop, optimize, and maintain scalable data pipelines and data integration solutions., • Develop and support data models, ETL/ELT processes, and database solutions using SQL and scripting languages., • Perform data profiling, validation, reconciliation, and quality assurance activities to ensure data integrity and accuracy., • Collaborate with business analysts, data scientists, product teams, and technology partners to deliver data-driven solutions., • Support AI and advanced analytics initiatives by preparing and transforming large datasets for model development and reporting., • Implement and maintain automated testing frameworks and quality engineering practices for data applications., • Troubleshoot data issues, performance bottlenecks, and production incidents while ensuring timely resolution., • Participate in code reviews and promote development best practices, standards, and governance., • Develop monitoring and alerting solutions to proactively identify and resolve data quality issues., • Contribute to continuous improvement initiatives focused on automation, efficiency, and scalability. Required Qualifications • 6–10 years of experience in Data Engineering, Data Warehousing, or related technology roles., • Strong hands-on experience with SQL and complex query optimization., • Experience with scripting languages such as Python, Shell Scripting, or similar technologies., • Solid understanding of data engineering concepts, ETL/ELT development, and data integration frameworks., • Strong knowledge of Quality Engineering (QE) fundamentals, testing methodologies, and automation practices., • Experience working with relational and distributed database technologies., • Understanding of data quality, data governance, and metadata management principles., • Strong analytical, problem-solving, and debugging skills., • Excellent communication and stakeholder management abilities., • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Preferred Qualifications • Experience supporting AI, Machine Learning, or advanced analytics initiatives., • Exposure to cloud platforms such as AWS, Azure, or GCP., • Experience with big data technologies and modern data platforms., • Knowledge of CI/CD pipelines and DevOps practices., • Experience within Retail Banking, Wealth Management, Financial Services, or related domains., • Familiarity with Agile/Scrum development methodologies. Technical Skills Required • SQL, • Python or Shell Scripting, • Data Engineering, • ETL/ELT Development, • Data Quality & Validation, • Quality Engineering Fundamentals, • Database Design & Optimization, • Data Modeling Preferred • AI/ML Data Preparation, • Cloud Technologies (AWS/Azure/GCP), • Spark, Hadoop, or Distributed Data Platforms, • CI/CD Tools, • Git Version Control Competencies • Strong ownership and accountability, • Critical thinking and problem-solving, • Attention to detail, • Collaboration and teamwork, • Ability to work in a fast-paced environment, • Continuous learning mindset

Technical Delivery Manager - GenAI Remote - Need some flexibility on time zone. 6-12 months assignment with possibility for extension Job Description: Required Skills & Experience • Proven experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams., • Good knowledge of GenAI architectures, RAG pipelines, vector databases, and prompt engineering., • Proficiency in Python, JavaScript, and TypeScript., • Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization., • Understanding of cloud-based LLM providers like OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock., • Experience in API design and integration architecture for AI/ML systems, • Experience in building ETL workflows and data cleaning pipelines for production., • Practical experience with MongoDB, including querying and optimization., • Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools., • Skilled with Git, Docker, and CI/CD pipelines (GitHub Actions preferred)., • Good debugging and performance optimization skills., • Ability to drive high-quality initiatives to completion in fast-paced environments. Preferred Qualifications • Experience leading production-level GenAI or RAG deployments., • Experience building scalable data visualization frameworks and dashboards., • Proficiency with cloud platforms (Azure, AWS, or GCP) for data and AI., • Background in defining and implementing AI system metrics and KPIs, • Experience in vendor evaluation and management for AI services, • Good ability to collaborate and mentor across engineering, product, and data science teams.

About Viam Founded by Eliot Horowitz, co-founder and former CTO of MongoDB, Viam is a novel robotics engineering platform that lets you configure, control, and manage robots intuitively and quickly. We're inspiring a generation of engineers to solve complicated automation problems with our uniquely powerful suite of software tools. We're a ~100-person company headquartered in New York City. The Engineering Challenge Building software for machines introduces challenges that traditional software systems rarely face. Devices operate in real-world environments, networks are unreliable, and software must interact with hardware, sensors, and real-time data. At Viam, engineers build the platform and tools that make those machines programmable, observable, and manageable at scale. About the Team New York City (Hybrid - 3+ days per week in office) The Fleet Management team builds the control plane for machines running on Viam - the cloud systems and web applications that allow developers to configure devices, deploy software across fleets, and operate machines at scale. The team owns the lifecycle of machine configuration and software running on those devices, along with the platform infrastructure that supports it - including authentication and permissions, machine logs uploaded from deployed devices, and the usage tracking behind Viam's billing systems. Our work sits at the intersection of product engineering and platform infrastructure. Engineers on this team build systems developers interact with directly while also evolving the backend architecture that supports machines operating in the real world. The stack includes Golang backend services, modern web applications (Svelte / Typescript), MongoDB, and gRPC APIs. What You'll Own Engineers on this team own systems end-to-end, from architecture and implementation through production operation. As the number of machines and developers using Viam grows, the team is focused on evolving the architecture that allows fleets of machines to be managed reliably at scale. As a Senior or Staff Engineer, you'll help raise the engineering bar through architecture discussions, mentorship, and guidance on complex projects. Examples of work in this role include: designing and building backend services that manage machine configuration and fleet state developing full-stack features across APIs, databases, and web applications used to operate machines building systems that deploy configuration and software updates across fleets of machines evolving authentication and permissions systems used across the Viam platform building infrastructure for storing and retrieving logs uploaded from deployed machines improving the systems that track machine usage and power Viam's billing platform shaping architecture decisions that help the fleet platform scale as deployments grow What You Bring We're looking for an experienced engineer who enjoys owning systems end-to-end and shipping production software. You may have experience: building production systems in distributed or cloud environments designing APIs and backend services that operate reliably at scale debugging complex distributed systems or production services working across teams to improve shared platform capabilities, developer tooling, or user-facing systems making sound technical tradeoffs as systems and architecture evolve Experience with robotics or IoT is not required. How We Work Our culture emphasizes ownership, curiosity, and decisive execution. This space has brand new challenges and we all have an appetite to learn Good work in production beats perfect work in review We know that the best teams help each other succeed through feedback We know great engineers come from many backgrounds. If you're excited about the challenges we're solving, we encourage you to apply. The salary for this role is between $ 190,000 - 259,000 /year. Full-time Benefits Viam's base salary range for this role is posted above. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more. 100% covered medical/dental/vision insurance plans, commuter benefits 25 days paid vacation and generous holiday observances Free lunch every day that you're in the office One Medical Membership Citi Bike memberships Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, and more Paid parental leave Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits Yearly Learning and Development Budget for your own personal learning goals Values: Vision Driven Collaborate Openly Act Decisively Succeed Through Diversity Hold Ourselves Accountable Lead with Curiosity To all recruitment agencies: Viam does not accept unsolicited agency resumes or calls from recruitment agencies or search firms. Please do not forward resumes to our jobs alias or Viam employees. Viam is not responsible for any fees related to unsolicited resumes.

Position: L3 Java Support Engineer Location: NJ / NYC- Onsite role Job Summary: We’re looking for a hands-on L3 Support Engineer who will act as the escalation point for critical production issues across trading and risk systems. The role focuses on deep incident diagnosis, partnering with engineering for fixes and reliability improvements, and building the tooling, runbooks, and documentation that enable L1/L2 teams to resolve issues faster. Responsibilities: • Own L3 escalations end-to-end: triage, root cause analysis, remediation, and post-incident follow-up with engineering and stakeholders., • Partner with product and engineering to improve reliability, operability, and supportability of applications, including logging, metrics, and alert quality., • Develop scripts, runbooks, diagnostics, and quality-of-life tools that streamline investigations and reduce meantime to resolution., • Create and maintain clear documentation for L1/L2 teams; deliver enablement sessions as needed., • Contribute to incident reviews and problem management, driving permanent fixes and automation for recurring issues., • Participate in a limited weekend/on-call rotation (approximately 4–6 weekends per year) with compensating time-off per policy. Minimum qualifications: • Bachelor’s degree (or equivalent experience) and 6+ years in software engineering or production support., • Proficient in Java or a similar language; strong debugging skills and ability to write scripts for diagnostics and updates. Familiarity with Linux and bash., • Clear, empathetic communicator capable of translating complex technical issues for diverse audiences., • Demonstrated bias for action: resolve incidents while building long-term fixes and automations., • Strong problem-solving: identify edge cases, add validations, and anticipate failure modes., • Experience with SDLC and support tooling: GitLab, incident management, JIRA, and standard ticket triage/prioritization. Preferred qualifications: • Experience supporting trading systems or desks at a large investment bank., • SQL proficiency for rapid data validation and incident triage., • Experience with object-oriented programming and microservices-based Java/SOA environments., • Monitoring/alerting setup and tuning (e.g., Prometheus, Grafana, Kibana, PagerDuty)., • Knowledge of Fixed Income products (Rates, Credit, FX, Commodities) and related market workflows., • Familiarity with DevOps/CI/CD practices and agile delivery. Work model and schedule • Hybrid collaboration with engineering and trading support teams., • Weekend/on-call rotation: approximately 4–6 weekends per year; scheduling communicated in advance

We’re looking for a hands-on Marketing Technology Analyst to help execute and support the systems behind our marketing and sales data. This role sits at the intersection of data, marketing tech, and analytics. You’ll help manage key tools, support data pipelines, and help turn messy data into something teams can actually use. If you like connecting systems, debugging issues, and making data useful - you’ll do well here. Responsibilities: Build & Maintain Data Infrastructure • Support and maintain data pipelines across marketing, retail, and analytics platforms (APIs, ingestion, transformations), • Help structure and maintain data in platforms like BigQuery and Fabric, • Create clean, reliable datasets for reporting and analysis, • Troubleshoot and fix pipeline issues and data inconsistencies Manage MarTech Systems • Support day-to-day management of platforms including Shopify, Klaviyo, Salsify, Google Tag Manager, and GA4, • Execute tracking setup, event configuration, QA, and debugging, • Support integrations across ad platforms (Meta, Google Ads) and retail platforms (Amazon, Walmart), • Support ongoing improvements to the MarTech stack across DTC, retail, and paid media as the business grows Reporting & Analytics • Help build dashboards and reporting (Looker Studio, Power BI, etc.) that teams drive business impact., • Support reporting, analyses, and data requests that help teams make decisions, • Ensure consistency in metrics and definitions across teams, • Help teams understand performance, especially marketing ROI and attribution Cross-Functional Support • Work closely with Marketing and Sales teams to support reporting, tracking, and operational needs, • Participate in cross-functional and agency calls to support data and platform execution, • Help identify opportunities to improve measurement, processes, and systems Qualifications: • Strong SQL skills and comfort working with large datasets, • 2–4 years of experience working with data pipelines, APIs, ETL processes, or analytics systems, • Experience with marketing and analytics tools (especially Shopify and Klaviyo), • Experience with BI tools (Power BI, Looker Studio, or similar), • Comfortable using AI tools to speed up development (especially Claude), • Comfortable working from raw data to structured datasets and reporting outputs, • Comfortable working through incomplete or messy data, • Willing to debug systems and figure things out, • Scrappy and proactive — comfortable taking initiative and figuring things out, • Able to adapt to shifting priorities and evolving business needs, • Practical problem-solver focused on making things work Annual salary range starting at $85,000+ The disclosed salary range is commensurate with experience and does not reflect the total compensation package. Our associates have access to other valuable benefits that our Human Resources team is happy to share with candidates during the interview process.

Who You Are: You’re a FrontEnd Engineer who builds clean, scalable, user‑focused interfaces with confidence and care. You bring deep experience in SFCC, modern JavaScript, and responsive design, and you know how to turn requirements into fast, accessible, production‑ready code. You thrive in agile teams, communicate clearly, and elevate others through mentorship and best practices. You stay current with evolving standards and push for performance, quality, and maintainability in everything you produce. What You’ll Do: • Create prototypes and production-ready XHTML / CSS / JS for eCommerce websites, • Build responsive layouts, reusable code and libraries for future use, • Focus on user needs and optimum user experience, • Work within an agile team, contributing to daily stand-ups, sprint planning, and estimations, • Be forward thinking, focused on performance initiatives and driven to implement frontend solutions, • Contribute to the team's focus to maintain frontend Quality, • Stay current with evolving standards and technologies, learning new skills as needed, • Mentor the developers for frontend coding standards and best practices You’ll Need to Have: • Prior experience in a similar role at a software house and/or an eCommerce company, • Experience required in Salesforce commerce cloud (SFCC) ISML, • Extensive experience in Page Designer and creating reusable components, • Mastery of HTML5, CSS3 and JavaScript (ES6) adhering to industry defined coding standards, • Experience with unit testing / integration / end-to-end testing, • Experience using CSS pre-processors, CSS-in-JS, SCSS, • Knowledge of popular CSS grid systems, • Hands-on experience in Media query system, • Experience in Typography, Spacing system, • Frontend performance optimization skills to adhere to core web vitals standards, • Experience in PWA kit and dynamic component loading techniques, • Solid understanding of the Agile methodology i.e. story point estimation, refinement, sprint planning, retrospective, sprint demos, • Commercial experience of using version control tooling (GIT) in a large development team performing., • Good understanding / awareness of Accessibility, SEO Principles, Security, Performance best practices, • Debugging and troubleshooting skills, • A desire to write readable, maintainable, modular and extendable code, • Experience in bringing multiple viewport responsive and adaptive web designs to life We’d Love to See: • Strong communication skills and capability to interact directly with the wider team MK Perks: • Generous Paid Time Off & Holiday Calendar, • Summer Fridays, • Internal Mobility Across Brands, • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program, • Commuter Benefits, • Gym Discounts The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at CapriTalentAcquisition@CapriHoldings.com. In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. Ideally you'd have: • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools., • Experience with red-teaming, prompt injection, or adversarial testing of AI systems. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Posting Type Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. WHAT WE DO At Relativity, engineers don't just write code. They shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We're reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. Shared Compute Infrastructure Team The Shared Compute Infrastructure team builds and operates the cloud compute foundations that power Relativity's platform. We provide scalable, secure, and reliable cloud-native infrastructure that enables teams across the organization to run workloads efficiently while meeting high standards for performance and security. If you're passionate about solving complex infrastructure problems, designing platforms for scale, and influencing engineering practices across teams, Relativity offers the opportunity to make a meaningful and lasting impact. Job Description and Requirements WHAT YOU'LL DO • Lead the design, development, and implementation of scalable cloud infrastructure solutions that support Relativity's strategic goals, • Design and implement complex cloud infrastructure and shared services across cloud platforms, • Define and enforce cloud-native architecture standards and best practices, • Collaborate with cross-functional teams to align cloud-native solutions with business objectives, • Mentor and guide engineers across multiple teams, fostering professional growth and raising engineering quality, • Evaluate emerging technologies and recommend adoption strategies to drive platform innovation, • Ensure the security, scalability, and reliability of cloud systems through strong engineering and operational practices, • Contribute to strategic planning and roadmap development for critical business initiatives WHAT WE'RE LOOKING FOR Required • Experience designing infrastructure platforms, tooling, and services, including integration with Kubernetes, • Proficiency with cloud platforms such as Azure, AWS, or GCP, • Strong understanding of distributed systems, networking, and security, • Demonstrated ability to lead technically and mentor engineers across teams, • Excellent problem-solving and analytical skills, • Strong written and verbal communication skills Preferred • Advanced degree in Computer Science or a related field, • Experience with infrastructure as code and automation tools, • Background working with global and cross-cultural teams WHY WE COULD BE A GREAT FIT Impactful Mission • Help organizations organize data, discover the truth, and act on it in high-stakes legal and regulatory matters. Growth Path • Engineers gain exposure to large-scale distributed systems and cloud platform design, with opportunities to influence architecture and long-term strategy. Engineering Culture • Strong emphasis on technical excellence, shared ownership, reliability, and continuous improvement. Inclusive Environment • Diverse backgrounds and perspectives make us stronger. Community Impact • Volunteer opportunities and company-sponsored charitable programs., • Compensation and Benefits, • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $174,000 and $262,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: • Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo's systems, both onboard autonomous vehicles and offboard in simulation, • Lead the development of end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents, • Partner within and across organizations to land disruptive and innovative tech in production, • Implement and extend large large scale data and evaluation pipelines You have: • Master's degree or PhD degree in Computer Science, similar technical field of study, or equivalent practical experience, • 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record, • Experience with large scale distributed system, • Proficient programming skills (eg: Python, C/C++), • Strong analytical and debugging skills We prefer: • ML infra experience: training, evaluating and deploying ML models at scale, • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning, • Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

Posting Type Remote Job Overview The Technical Support Specialist provides technical support to a mix of technical and non-technical customers by diagnosing, troubleshooting, repairing and debugging complex software and/or networked systems. You will have frequent phone and email interaction with our customers and require the development of in-depth technical product, SQL, network and server knowledge and exceptional customer service skills. On a daily basis, the Technical Support Specialist creates, resolves, and maintains tickets, while working to resolve issues and escalate tickets to other teams and verticals. It is essential that the Technical Support Specialist maintains accurate records of all activities and interactions in Salesforce and responds to customers within identified service level agreements. You will inform management of important issues regarding personnel, performance, customer perception, and project statuses, and work with colleagues to ensure quality service. This role will report to the Manager of Customer Support. The working hours are Monday to Friday 11:00 PM to 8:00 AM Central US (United States) Time, and the weekday overnight shift offers a compensation differential. Due to specific customer contract requirements, this position requires that the successful candidate be a U.S. citizen. As a condition of your role supporting the RelativityOne Government product, you are required to obtain a Public Trust clearance. The process for obtaining the Public Trust clearance will be handled by the federal government and could include additional background screening regarding criminal history, drug use, financial records, and a character assessment. If you are unable to obtain the Public Trust clearance, you will be unable to work on the RelativityOne Government product, and your employment, if still in effect, may be terminated. Obtaining Public Trust clearance offers an additional compensation differential. Job Description and Requirements Your Role in Action: Technical Skills/Responsibilities Use SQL applications and tools to run basic SQL queries Respond tocustomerquestions, problems, and work requestson a daily basis Develop anexpertisein company products and services and the initiative to take an active role in sharing this knowledge with customers Partner with senior level team members as needed to troubleshoot and resolve customer incidents Have or develop the experience to capably perform theTechnical Support Specialistposition responsibilities Policy and Procedure Skills Followappropriate proceduresfor creating, categorizing, updating, escalating, transitioning, and resolving tickets. Attention to proper detail when coding and documenting tickets is essential foraccuratereporting andmaintaininghistorical ticket data Monitor assigned open tickets, contact customers, and update tickets ona timelybasis Provide responsive support tocustomers during normal shift hours, when scheduled for early and late shifts, and asidentifiedfor on-call or as requested by management. Early/Late shifts andon-callcould berequired ofthe qualifiedTechnical Support Specialiststaff Complete all daily tasks and projects Track time daily Expectations of the Role Provide excellent customer service using the communication methodsdesignatedby Relativity Flexible to work a9-hourMonday-Friday overnightshift from11pm-8amCST with a 1-hour meal break, on-call schedule, or othertime framesspecified by management Able to work an 8/9-hour Monday-Friday shift from 8am-5pm CST with meal break for the first 3 months of onboarding Demonstrate initiative to learn new skills, such as SQL applications and tools to run basic SQL queries Meet identified goalsregardingcustomer service tech support metrics Commitment to and consistent demonstration of core company values Your Skills Customer support experience Customer-focused and ability to understand expectations Direct experience supportingcustomers as a primary contact or lead using phone and email Experience troubleshooting complex issues SQL and Windows platform experience Travel 10% of the time Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $54,000 and $80,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Application Management, Database Management, Project Management, Requirements Gathering, Software Development, Software Development Life Cycle (SDLC), Structured Query Language (SQL), System Implementations, Systems Analysis, Technical Support

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation. Ideally you'd have: • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate)., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Publish evaluation methodologies and write technical reports for policymakers. Ideally you'd have: • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems., • Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act). Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.. For example, you might: • Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties;, • Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations;, • Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices. Ideally you'd have: • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Strong written and verbal communication skills to operate in a cross-functional team. Nice to have: • Experience with mechanistic interpretability, probing, or other techniques for understanding model internals., • Familiarity with red-teaming or adversarial evaluation of post-trained models., • Experience studying failure modes introduced or masked by post-training, such as reward hacking, sycophancy, or alignment faking. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to transform our nation's healthcare systemasa Full Stack Software Developer. In thisrole,you'llcontribute to building and enhancing our web-based enterprise health platform. This isa great opportunityto grow your skills in a collaborative, remote-first environment while making a meaningful impact. Why You'll Love Working Here • We have a remote-first culture., • You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions., • We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. Position Responsibilities In this role, you'll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: • Collaborate with senior developers to implement new features and improve existing functionality. Preferred Qualifications We're looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: • Collaborate with senior developers to implement new features and improve existing functionality., • Write and test high quality code based on designspecificationand product requirements with minimal support from team and senior engineers on the team., • Participate in planning and design discussions with product managers and designers., • Write clean, maintainable code using technologies like Python, React, and AWS., • Conducttesting and debugging software to ensure high quality., • Become a subject matter expert on your team's products., • Work in an Agile/Scrum environment., • Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. MinimumQualifications: • 3+years of software development experience., • Bachelors degree in Computer Science or related field is preferred., • Previous Pharmacy Benefits Manager (PBM) experience preferred., • Git code management skills with experience working in a mono repository preferred., • Strong Python (Flask/SQLAlchemy) and TypeScript (React) experience., • Experience withPostgreSQL database knowledge,e.g.common table expressions, windowing functions, views, stored procedures, full-textor geospatial indexing techniques., • Proficiencytargeting infrastructure as code with a security mindset (AWS, Terraform)., • Participation throughout the software development lifecycle (SDLC)., • A history of delivering complex web applications to the cloud., • Strong knowledge of unit testing across multiple paradigms., • Experience working with microservices/an API-based application paradigm. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$86,400—$136,000 USDNew York, NY Salary Range$108,800—$136,000 USDDenver, CO Salary Range$100,000—$125,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business., • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles., • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements., • Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: • BS in Computer Science, ML, Robotics, similar technical field of study, • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles, • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact, • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch), • Proficient programming skills (eg: Python, C/C++), • Strong analytical and debugging skills We prefer: • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field, • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP, • General software engineering experience solving motion planning or related robotics problems, • Experience applying or evaluating ML-based systems in production environments, • Experience with performance optimization of deep models, including with respect to specific hardware architectures #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$175,000—$215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: • Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction, • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business, • Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning, • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production, • Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: • PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience, • A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP), • Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions, • Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch, • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: • Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models, • Prior industry experience (e.g. internships) in applied ML research or software development, • Domain expertise in solving motion planning, prediction, or related robotics problems, • Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$175,000—$215,000 USD

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

Position summary Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for an Associate Data Engineer. The Associate Data Engineer supports the day-to-day operations of Candid's cloud data platform. This role is responsible for maintaining ingestion and transformation pipelines built on Apache Iceberg, validating data outputs through schema and structural changes, and assisting with storage management, platform observability, and metadata operations. The Associate Data Engineer develops foundational skills across the modern data lakehouse stack while taking direct ownership of pipeline maintenance, documentation, and validation activities. Position: Associate Data Engineer Reporting to: Data Operations Manager Supervises: N/A Schedule: 35-hour work week, Monday through Friday Compensation: $70,000 - $95,000 (this range is for the NYC area and will be adjusted for other localities; additionally, factors like skills and experience will be considered). Location: Remote. In-person attendance is expected twice per year during our annual, weeklong all-staff summits. Additional in-person meeting participation is expected at least once per quarter for senior leaders and at least once per month for the executive team. Staff not located in the NYC area are expected to travel for these meetings. Benefits: Health insurance (medical, dental, vision), retirement contribution with additional option for a match, paid life insurance and AD&D, paid leave time (PTO, compassionate leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit, flexible spending accounts, supplemental insurance, summer hours, and Public Service Loan Forgiveness (PSLF) program eligible employer. Responsibilities • Pipeline Maintenance, Documentation, & Validation: Serve as the primary owner of ingestion pipelines and transformation table adjustments. Ensure continued, reliable data delivery and apply routine changes as business and schema needs evolve. Validate transformation outputs against expected results after schema or structural changes, documenting findings and escalating anomalies to the appropriate teams., • Storage & Platform Support: Assist with scheduling compaction and cleanup jobs to maintain Iceberg table health and query performance. Support partition evolution and snapshot retention management to control storage growth., • Observability & Metadata: Assist in implementing and maintaining CloudWatch metrics, alarms, and dashboards to ensure pipeline visibility. Contribute to tracking and reporting on platform performance metrics. Help maintain AWS Glue metadata refresh and statistics jobs that support query planning and optimization within the data platform., • Schema Coordination: Assist with coordinating schema changes across ingestion and transformation layers to maintain consistency end to end. Collaborate with the Data Operations Engineer to communicate impacts and sequence changes safely., • Infrastructure & Security: Support and maintain RBAC and ABAC (least privilege, standardized roles, and consistent tagging). Participate in access reviews and audits, documenting changes and escalating risks as needed. Requirements • 1- 3 years of experience in data engineering, analytics engineering, or a closely related technical role; internships and relevant academic project work considered., • Solid SQL skills, including writing, reading, and debugging queries against relational or columnar data stores., • Familiarity with cloud data concepts: object storage (Amazon S3), columnar file formats (i.e. Parquet), data-interchange formats (JSON, XML), or open table formats (i.e. Apache Iceberg)., • Experience with or exposure to distributed SQL query engines such as Trino or Starburst, • Familiarity with AWS services such as S3 and Glue., • Exposure to Apache Airflow, SSIS or another workflow orchestration platform, • Experience writing or maintaining data pipelines in Python., • Familiarity with on-prem relational data systems (i.e. Microsoft SQL Server)., • Strong attention to detail, especially around data validation and output accuracy., • Strong analytical and problem-solving skills., • Excellent written and verbal communication skills; ability to document findings clearly for both technical and non-technical audiences., • Ability to work independently and collaboratively as part of a distributed team., • Willingness to perform other duties and special projects as needed/requested., • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences., • Commitment to Candid's values: driven, direct, accessible, curious, and inclusive. _ Candid's mission is to get you the information you need to do good. The world's problems are only growing, and change can't wait. Nonprofits are needed now more than ever, but all too often their work goes without adequate support. Candid makes it easier and faster for nonprofits and funders to connect in pursuit of solutions to change the world. Candid is where nonprofits find grants, donors find nonprofits that inspire them, and all can gain insights about the work being done for good. Candid is a qualifying nonprofit organization as defined by the Public Service Loan Forgiveness Program. As such, Candid employees may claim their employment time on their PSLF application. We offer a competitive salary and excellent benefits. Due to the high volume of applicants we typically receive, we regret that we can only contact candidates we would like to interview. For more information on positions available at Candid, please visit our website: _ Candid is an equal opportunity employer. Candid provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team., • Excited to join a dynamic, hybrid team in either San Francisco or New York City. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

Position: Intern Duration: Summer 2026 (June 8 - August 13) • Monday - Thursday (10:00 AM - 5:00 PM, between 25-30 hours per week), • Available to work in Presidio Office Location - Part of the time, • Be a Rising Junior or Senior in College, • Previous Internship, volunteering experience highly recommended, • Desire to learn and grow in the Technology Sales Space About Us: Presidio is a leading technology company dedicated to delivering innovative solutions and exceptional service to our clients. We are looking for motivated and talented individuals to join our team as interns, providing valuable hands-on experience in various business units. Job Summary: As an intern at Presidio Networked Solutions, LLC, you will have the opportunity to work across multiple business units, including Sales, Technology, and Business Operations. This internship is designed to provide you with a comprehensive understanding of our business processes and help you develop essential skills for your future career. Sales: Four Positions Remaining (King of Prussia, NJ (1) Woburn, MA (3) We are seeking a motivated and intellectually curious Technology Sales Intern to join our dynamic sales organization. This internship provides hands-on experience at the intersection of technology, business strategy, and client engagement, supporting revenue-generating initiatives across our solutions portfolio. You will gain exposure to enterprise technology sales, work alongside experienced Account Managers, Engineers, and Sales Leaders, and contribute to real-world sales cycles while building foundational skills for a career in technology sales. Key Responsibilities: • Support the sales team in identifying, researching, and qualifying new business opportunities, • Assist in developing client-facing materials, including presentations, proposals, and solution overviews, • Conduct market and competitive research across key technology domains (cloud, cybersecurity, networking, AI, etc.), • Participate in client meetings, internal strategy sessions, and pipeline reviews, • Help maintain CRM data integrity, track sales activities, and generate reporting insights, • Collaborate with cross-functional teams (engineering, marketing, finance) to support solution positioning and deal execution, • Contribute to lead generation campaigns and outreach efforts What You will Learn • Fundamentals of enterprise technology sales cycles and client engagement strategies, • Exposure to cutting-edge technologies including cloud platforms, cybersecurity solutions, and digital transformation initiatives, • How to position technical solutions in business terms to drive customer value, • Best practices in pipeline management, forecasting, and sales operations, • Professional communication skills in a client-facing environment Technology: Filled • Collaborate with the technology team on software development projects., • Assist in testing and debugging software applications., • Support the implementation of new technology solutions., • Help maintain and update technical documentation., • Participate in team meetings and contribute to project planning. Business Operations: Filled • Assist in the development and implementation of operational processes., • Support the operations team in managing day-to-day activities., • Help analyze business performance data and identify areas for improvement., • Participate in cross-functional projects to enhance operational efficiency., • Assist in preparing reports and presentations for management. How to Apply: Interested candidates should submit their resume and a cover letter explaining their interest in the internship and how their skills align with the responsibilities of the role to [contact email]. Feel free to customize this description to better fit your company's specific needs and requirements! About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com. * Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: _ Presidio's EEO Policy Statement is available here: _ Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to _ and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to _. Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$302,400—$378,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's _ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our _ for additional information.

About RDE Advisors RDE Advisors is a boutique commercial real estate advisory firm in New York City. We’re not just using AI—we’re building companies with it. Over the past year, our founder has used AI development tools to begin building multiple AI-powered products for the commercial real estate industry from scratch. These products are actively in development and moving fast. Now we need a dedicated builder to take these products from early-stage to fully realized and help bring new ideas to life as they come along. This is a ground-floor opportunity to work directly with a 20-year industry veteran who is actively creating new technology businesses. You won’t be writing code in a vacuum—you’ll be building real products with real users, fast. The Role This is a product engineering role focused on building and shipping real applications—not a research or model-training position. You will be the technical engine behind everything we build. Your primary focus is shipping AI-powered products—quickly, intelligently, and with a bias toward action. Today, that means taking two products in active development and building them into something real. Tomorrow, it could mean an entirely new idea. The roadmap here isn’t set in stone—we move fast, follow opportunity, and need someone who thrives in that environment. What You’ll Do • Own the full product lifecycle—concept, architecture, development, deployment, and iteration—for AI-powered applications, • Build and ship products using AI coding tools (Claude, Cursor, Replit, etc.) alongside traditional development when needed, • Take our existing products from early development to production-ready applications, • Develop new product ideas from whiteboard to working software as the firm identifies new opportunities, • Create automations and internal tools that streamline brokerage operations (deal tracking, research, client communications, marketing), • Stay on top of emerging AI platforms and proactively bring ideas for how they can be applied, • Support the firm’s digital presence—website, content, and marketing—using AI tools Our Stack You’ll be working on live, production web applications from day one—not training models or running notebooks. The current stack includes Next.js 14, TypeScript, Tailwind CSS, Supabase (PostgreSQL), Vercel, Claude API (Anthropic), Mapbox, and QuickBooks API integration. You don’t need to know all of these on day one, but you should be comfortable in this world. Who You Are • You’ve built and shipped web applications—not just trained models or run notebooks. Apps, tools, side projects, startup MVPs—anything with a frontend, a backend, and real users. Show us., • You use AI-assisted development tools daily — not just for prompting, but for building, debugging, and shipping full-stack applications faster, • You can take a vague idea and turn it into working software without needing step-by-step direction, • You move fast and understand that speed of iteration matters more than perfection early on, • You’re comfortable working across the full stack (frontend, backend, databases, deployment), • You can pick up an existing codebase, understand the architecture, and make it yours—whether that means extending it, refactoring it, or rebuilding it better, • You’re entrepreneurial and energized by building new things, not maintaining legacy systems, • Bonus: familiarity with commercial real estate, prop-tech, or fintech Growth & Upside This is not a traditional engineering role buried in a corporate team. You’ll work directly with the firm’s founder every day, building products from the ground up. As the products you build gain traction, you’ll play a central role in scaling them—technically and operationally. The person in this role has a clear path to growing into a technical leadership role across the ventures we build together. We’re a small team by design, and the right person here will have an outsized impact on what we become. Compensation • Starting base salary: $65–$80K depending on experience, • Performance bonuses of $10–$20K+ tied to clear product milestones—launches, user adoption, and revenue targets, • As products generate revenue, your compensation grows with them—this is a starting point, not a ceiling Work Environment Our office is in a beautiful building in Chelsea with a private rooftop deck. You’ll work in a recently renovated, intimate space with high ceilings and great natural light—alongside a tight-knit team of four. We value in-person collaboration, especially during onboarding, and our team generally works from the office—but we’re flexible for the right person. You’ll collaborate directly with firm leadership daily. Respect, honesty, integrity, and hard work are the backbone of how we operate. We’re looking for someone who shares those values. To Apply Apply directly through Indeed or LinkedIn. As part of your application, we’ll ask about what you’ve built and how you use AI—so come ready to show, not just tell.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community. Minimum Qualifications: • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision. Preferred Qualifications: • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment., • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases. About our Culture: At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

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: Software Engineer Type: Contract Compensation: $40–$50/hour Location: Remote Role Responsibilities • Build MCP servers in Python using FastMCP., • Integrate web or desktop applications into RL Studio., • Work with APIs, Docker, Linux environments, and service configuration., • Implement populate/snapshot hooks for app state management., • Test apps locally and debug build, runtime, and permission issues., • Ensure apps meet platform validation and deployment requirements. Qualifications Must-Have • Strong Python skills., • Experience with APIs, backend systems, and debugging., • Familiarity with Docker, Linux, and local testing workflows., • Ability to work with configuration files and deployment pipelines., • Problem-solving skills and attention to technical detail. Preferred • Experience with FastMCP or similar frameworks., • Experience integrating third-party apps or developer tools., • Familiarity with web apps, databases, and containerized environments. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Our Company We manage the online marketing and web visibility for over 15,000 professional firms. Recognized six years as one of America’s Fastest-Growing Private Companies by Inc. Magazine, ProSites is the premier online marketing solutions for doctors, dentists and financial professionals nationwide – think of us as a next generation ad agency with 15,000+ clients. Working at ProSites The people at ProSites are passionate about their work and are driven by innovation. Each and every day we strive for excellence. Our work environment is equal parts casual and professional. We’re serious about our business and delivering the best service to our members, but we also make it a priority to keep things fun and exciting. Join the ProSites team, where innovation is the goal The Role ProSites is looking for a Java Developer with experience in developing distributed and auto-updating Java client applications on MS Windows computers. You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing. Responsibilities: • Design, build, and maintain efficient, and reliable Java code, • Ensure the best possible performance, quality, and responsiveness of the applications, • Identify bottlenecks and bugs, and devise solutions to these problems, • Help maintain code quality, organization, and automatization Skills- Specific Proficiency In: • Java, SQL, Install4j, Git, Maven, Eclipse IDE, • Solid understanding of object-oriented programming, • PostgreSQL DB experience a PLUS, • Skill for writing reusable Java libraries, • Strong code debugging skills, • Experience in unit testing and code coverage, • Good understanding of code profiling (visualVM and OQL), • Linux command line skills (SSH, grep, psql, etc on CentOS) Other Qualifications: • JDBC, • C# and VisualBasic a plus Requirements: • Proven hands-on Software Development experience including a working experience in Java development, • Object Oriented analysis and design using common design patterns. Location This role is office-based in our Phoenix, AZ headquarters (not available for tele-commuting). Benefits: • Excellent compensation and benefits package, • Generous vacation and paid holidays, • Medical, dental, life, and vision plans, • 401(k) plan, • Casual dress and frequent team building events Physical/Mental Requirements for the Job: • Prolonged periods of seating, • May be requested to work overtime and weekends if deemed necessary, • Must be able to lift at least 20 pounds, • Certain management positions might be required to occasional travel

Job Description Location: On-site at a partner school; varies by assignment Schedule: Typically 1–4 hours per week after school Program Length: About 10 weeks per program Start Date: Rolling openings based on school schedules Compensation: $50+ per instructional hour (flexible based on experience and assignment) About Concorde Education Concorde Education partners with schools nationwide to deliver engaging, instructor-led enrichment programs in STEM, the arts, financial literacy, esports, and other high-interest subjects. Our instructors bring real-world expertise into the classroom and help students explore new interests through hands-on learning. Programs typically run once per week for about 10 weeks, allowing instructors to teach part-time while maintaining other professional or academic commitments. Position Overview Concorde Education is seeking enthusiastic Coding Instructors to lead Scratch-based after-school enrichment classes for elementary and middle school students. Scratch is a visual programming platform developed by MIT that introduces students to coding through block-based programming. Students create games, animations, and interactive stories while learning foundational programming concepts and computational thinking skills. Classes are hands-on and project-based, designed to make coding accessible for beginners while still engaging students who may already have some experience. What You’ll Teach • Students will explore core programming concepts by building interactive Scratch projects such as games, animations, and digital stories., • Topics may include:, • Introduction to the Scratch interface (sprites, stage, blocks), • Sequencing and event-driven programming, • Loops and repetition, • Conditional logic and decision-making, • Variables and simple score or timer systems, • Debugging and problem-solving strategies, • Game design fundamentals, • Animation and storytelling through code, • Collaboration and remixing Scratch projects, • Digital citizenship and responsible online sharing Responsibilities • Lead engaging, hands-on Scratch coding sessions for students, • Guide students through creating games, animations, and interactive projects, • Adapt instruction for beginner and more advanced learners, • Foster a positive, inclusive classroom environment, • Communicate professionally with school staff and Concorde program coordinators, • Track attendance and basic program progress as required, • Support students in completing a final Scratch project Qualifications • Minimum 60 college credits completed, • Experience using Scratch or similar beginner coding platforms, • Experience working with school-age students (teaching, tutoring, camps, youth programs, etc.), • Strong communication and classroom facilitation skills, • Reliable, punctual, and professional, • Comfortable helping students use Chromebooks or web-based coding platforms Most Concorde instructors teach 1–4 hours per week, though many choose to lead multiple programs across different schools. Assignments vary by location and schedule, allowing instructors to select opportunities that best fit their availability. Who This Role Is Great For This role is ideal for: • Teachers or substitute teachers, • Computer science or education college students, • Programmers or tech professionals interested in youth education, • Tutors or after-school instructors, • Game designers, developers, or hobbyist coders

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On Build and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules. Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion. Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure. Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships. Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time. Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points. Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap. Requirements Technical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management. Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time. Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders. Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities. Interesting Technical Challenges AI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production. Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments. Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer. Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments. Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap. What we offer Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development Meaningful equity: Early employee stock options with significant ownership potential Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare. Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience. Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively. If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you. Compensation Range: $150K - $200K

Job Description Job Title: Research Technician Level I Grade: 16 Salary: $60,413 - $71,958 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Research Technician position. The RFMH Inc at NYSPI / CU Department of Psychiatry has an opening for a full-time research technician (RT) who will join a team of researchers conducting NIH-funded clinical and epidemiological research. The RT will assist in all aspects of study design, execution and analysis of both large-scale survey and clinical datasets. The RT will also assist in preparation of materials for presentations, reports, proposals, publications, as well as, with grant and IRB related tasks. Additionally, the RT will work closely with the PI and senior staff to assist them in various tasks that they need to accomplish. The RT should pay strong attention to detail and have excellent verbal and written communication skills. Duties and Responsibilities: The RT's duties and responsibilities will include, but are not limited to: • Conducting literature reviews and assisting in preparation and tracking of grant proposals, IRB related submissions, publications, reports, and presentations, as needed., • Formatting and creating references for the above tasks using a reference manager, Zotero, for manuscript submissions., • Programming, piloting and debugging computerized diagnostic interviews and questionnaires in RedCap, Qualtrics and Blaise, • Creating and managing computerized codebooks, • Data management, cleaning and analysis, • Creating, updating, and following up on agenda items for weekly staff meetings, • Assisting PI with tracking and executing action items, including updating CV, assisting with Powerpoint presentations, manuscript submissions, etc. Minimum Qualifications: • A bachelor's degree with a major in public health (epidemiology), psychology, neuroscience or data science., • At least (1.5) years of experience in a research setting Preferred Qualifications: • A master's degree with a major in public health (epidemiology), psychology, neuroscience or data science., • Prior experience with computer programming, especially in RedCap, • Prior experience using SAS or R statistical analysis programming software, • Prior experience using Zotero reference manager, • Strong organizational skills and detail-oriented, • Knowledge of Microsoft Word, Excel and Powerpoint, • Ability to work independently while coordinating with a team Work Location: 1051 Riverside Drive, New York, NY 10032 To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Strong problem-solving abilities with a "full-stack" systems perspective. Preferred: • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Employment Type: Full-Time Location: Remote/Hybrid Ready to Take the Next Step in Your Career? At Keyrus, we're not just seeking candidates; we're on the lookout for future innovators, problem solvers, and visionary leaders. Are you ready to harness your expertise in Anaplan, showcase your analytical prowess, and channel your passion for crafting exceptional solutions? If so, we're eager to welcome you to our dynamic and growing team. As an Enterprise Planning Consultant at Keyrus, your primary responsibility will be to collaborate with other consultants to build your skills and expertise in Anaplan to implement and optimize sophisticated planning models and solutions. This role offers a dynamic, collaborative environment, perfect for individuals who are passionate about tackling complex business challenges and making a tangible impact. Keyrus offers numerous opportunities to acquire new consulting and technical skills, as well as a unique chance to be part of a fast-growing Practice and take your career to the next step. Responsibilities of the Enterprise Planning Consultant include: Support technical leaders throughout requirements gathering and design phases, take notes during client interviews and meetings, and develop relevant questions to understand client business details. Configure and deploy Anaplan solutions, ensuring that they meet client needs and are delivered on time and within budget. Contribute to the configuration of EPM software and assist with system testing. Resolve and articulate technical issues confidently through debugging, research, and investigation and assist with production support issues as required. Assist with configuration reviews to provide useful feedback and be open to receive and implement feedback received from project team and leadership. Maintain client focus and demonstrate ownership on tasks under your responsibility and ensure applicable deadlines are reached. Convey understanding of the "why" behind business requirements. Understand your role on the project and team, and meet project priorities, scope, timeline, goals, and key milestones. Create and maintain documentation for EPM solutions, including user guides, technical specifications, and training materials. Assist in the development and delivery of training programs for end-users. Deliver demonstrations to audiences ranging from executives to business users. Stay up to date with Anaplan platform releases and feature updates, and best practices within the industry and pursue or maintain required and recommended certifications. Maintain effective working relationships with team members and understand how to engage with the client appropriately. Demonstrate and continue to develop strong written, verbal, and interpersonal communication skills. Provide ongoing support to clients, addressing inquiries, troubleshooting issues, and ensuring the effective use of EPM systems. Required Attributes: Background in business / financial / multi-dimensional modeling, data analytics, business intelligence, or consulting. Demonstrated analytical and problem‐solving skills. Proven experience working with Anaplan, including the design, implementation, and optimization of Anaplan models, and associated certifications. Effective written, verbal, and interpersonal communication skills. Demonstrated organizational, prioritization, and time management skills. Bachelor’s degree in Business, Finance, Economics, Information Management and Technology, Engineering, or related field and equivalent experience Flexibility to adapt to changing project requirements and client needs. Strong Microsoft Excel abilities. Fluent in English. Desired Attributes: Interest/willingness to work on global teams and work with clients from around the world on a project-by-project basis. Experience implementing Performance Management Solutions using one of the following technologies: IBM TM1/PA, Oracle Hyperion, SAP SAC, Tagetik, Board, Pigment, OneStream. Prior experience working on business functions – finance, sales, or operations. Knowledge about data integration tools (Informatica, SnapLogic, Oracle Data Integrator (ODI)). Demonstrated working knowledge of Relational Database Management Systems (RDBMS) – SQL, ANSI SQL, MySQL, PL/SQL in Oracle, PartiQL in AWS, SAS. Fluent in Spanish and/or Portuguese. About Keyrus - https://keyrus-epm.com/ Keyrus is a global consultancy with more than 3,500 employees that develops data and digital solutions for performance management. Its enterprise performance management (EPM) practice includes 175+ colleagues across 18 countries on five continents, with more than 200 Anaplan successful clients across 30 countries. An end-to-end services partner, its international team of consultants and experts helps clients drive transformational change and maximize value capture and creation. Accredited as a Solution Advisory & Delivery Partner under Anaplan’s Partner Accelerate program, Keyrus has demonstrated Anaplan expertise across industries such as financial & business services, technology, media and telecom, manufacturing, and consumer goods, as well as for business functions including finance, sales and marketing, supply chain and operations, and HR. Translating experience into innovative planning solutions, Keyrus has delivered compelling workforce planning solutions on the Anaplan platform, including contact center planning, operational workforce planning, and strategic workforce planning for several of the largest companies in the Americas.

Job DescriptionCompany Description Job Description Job title: Full Stack .Net AWS Cloud Developer Location: Newark, NJ Job summary: The client is looking for a versatile and pragmatic Full Stack AWS Cloud Developer to architect, build, and maintain scalable cloud/on-prem hybrid applications. They must have a deep understanding of the front-end and back-end aspects of application development. On the front-end, they must be able to design and implement user interfaces using HTML, CSS, and JavaScript. On the back-end, they must be able to work with SQL and NoSQL databases, web services, and other server-side and serverless resources. They must be able to work across the stack—from intuitive front-end interfaces to robust back-end services—leveraging AWS platform to deliver secure, high-performance solutions. Key Responsibilities are: • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Node.js, Python, .NET, JavaScript), • Build and deploy cloud-native services on AWS using Lambda, API Gateway, ECS, S3, DynamoDB, RDS, and more, • Implement CI/CD pipelines using Azure Pipelines, GitHub Actions, • Participate in requirements discussions and transform them into useful applications in line with service goals., • Support, maintain and enhance existing applications and fix issues., • Collaborate with peers to create the most effective solution possible using the .Net framework and Microsoft tech stack., • Take responsibility for identifying and reducing technical debt in existing code structure while boosting application effectiveness and improve performance., • Deliver error-free code that complies with secure coding practices., • Able to provide technical assistance for web, mobile, and desktop applications., • Incorporate data storage systems and preserve code quality., • Ensure application security and scalability, following AWS best practices and Well-Architected Framework, • Collaborate with cross-functional teams including DevOps, UX, and product managers to deliver end-to-end solutions, • Monitor and optimize performance using CloudWatch, X-Ray, and other observability tools, • Document architecture and workflows using Confluence, diagrams, and version-controlled README files, • Hands-on experience with AWS services including Lambda, EC2, S3, IAM, and DynamoDB, • Knowledge of authentication/authorization patterns (OAuth2, Cognito, JWT), • Strong debugging, testing, and performance tuning skills, • Knowledge of frontend frameworks like Next.js, Vue, or Svelte Regards, Hameed Shaikh Additional Information All your information will be kept confidential according to EEO guidelines.