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Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Reliability team at Relativity Space ensures quality is built into every stage of the Terran R design and production process, embedding reliability from the very beginning. The team works directly with design, manufacturing, test, and launch teams to stay close to the hardware, understand constraints, and proactively shape decisions. As the program moves from development into production and scaled operations, this is the time to establish the right processes, controls, and inspections without slowing progress. The team plays a key role in balancing risk, fostering a culture of ownership, and making sure speed never comes at the cost of reliability. Success means creating a quality system that scales with the Terran R program and Relativity as a whole. About the Role: You will be responsible for designing, building, and continuously evolving scalable process infrastructure across the factory and supply chain ecosystem. You will take end-to-end ownership of core enterprise workflows—including MRP, procure-to-pay, material conveyance, factory automation, and change management—treating each as a product with a lifecycle that demands constant improvement, stakeholder alignment, and technical rigor. This role blends systems engineering, process design, and software integration, requiring both a deep understanding of manufacturing and supply chain operations and the ability to build technical solutions that are robust, intuitive, and performance-driven. • Architect and own end-to-end enterprise workflows across planning and execution, MRP, procure-to-pay, material movement, and change control—ensuring alignment with business needs and scalable technical solutions., • Develop and maintain technical infrastructure that supports process-as-a-product workflows, with a focus on data integrity, reliability, automation, and integration with enterprise systems. Continuously monitor and optimize performance across key workflows—leveraging real-time data to drive improvements in scheduling accuracy, fulfillment velocity, inventory health, and process compliance., • Collaborate cross-functionally with manufacturing, supply chain, software engineering, finance, and operations teams to define requirements, implement process changes, and deliver high-impact systems that drive efficiency and agility. Partner with product managers, analysts, and business stakeholders to translate complex operational needs into scalable, elegant solutions that create measurable value across the organization., • Lead factory and supply chain automation initiatives by identifying opportunities for digital transformation, designing integrated workflows, and ensuring seamless orchestration between physical and digital systems and establish and enforce rigorous standards for change management and data governance across the enterprise, ensuring consistency, traceability, and operational reliability. Deliver and maintain high-quality documentation of technical architecture, process flows, and interface contracts to support transparency, scalability, and team alignment.About You:, • Bachelor's degree in Computer Science, Engineering, Supply Chain/Operations Management, or a related discipline, • Experience working in a supply chain engineering, product engineering, or software engineering role with a focus on MRP or ERP systems within an advanced manufacturing environment, • Proficiency in programming languages such as Python, SQL, Javascript, Java, C#, • Knowledge of supply chain and/or manufacturing processes, • Working knowledge of at least one of the following enterprise processes/workflows:, • Enterprise Planning / Material Requirements Planning for advanced manufacturing, • Procure to Pay, • Material Conveyance / Material Flow Automation, • Change Management / Config Management, • Manufacturing Execution / Factory Automation, • Data Integrity / Data GovernanceNice to haves but not required:, • Strong understanding of a variety of codebased technical infrastructure and information systems / database architecture, • Experience with cloud platforms and distributed systems, • Familiarity with modern software development practices and tools, including version control, continuous integration, and automated testing, • A talent for distilling complex technical concepts into clear, concise explanations for non-experts., • The types of people who succeed in this role have been similar to the following:, • Sr Systems/Data Analysts who want to get more into software and product design, • Software engineers who want to get more into systems and product design, • Product managers who want to get more into technical development of systems/platforms/processes/workflows, • Operations engineers who want to get deeper into software and product design At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $126,000—$188,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com. Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Reliability team at Relativity Space ensures quality is built into every stage of the Terran R design and production process, embedding reliability from the very beginning. The team works directly with design, manufacturing, test, and launch teams to stay close to the hardware, understand constraints, and proactively shape decisions. As the program moves from development into production and scaled operations, this is the time to establish the right processes, controls, and systems without slowing progress. The team plays a key role in balancing risk, fostering a culture of ownership, and making sure speed never comes at the cost of reliability. Success means creating a quality system that scales with the Terran R program and Relativity as a whole. About the Role: As a Staff Technical Product Manager, Configuration Management, you will own the strategy, architecture, and evolution of enterprise-wide configuration management systems and workflows supporting the Terran R program. You will drive the development of scalable solutions that ensure product configuration accuracy, engineering change control, and end-to-end traceability across design, manufacturing, test, and launch. This role combines technical product management, systems engineering, and software integration, requiring a deep understanding of complex hardware development and the ability to translate operational challenges into reliable, automated, and scalable technical solutions. • Define and own the technical strategy, roadmap, and architecture for configuration management systems and workflows, ensuring scalability, reliability, and alignment with engineering, manufacturing, and business requirements., • Architect and optimize end-to-end configuration management processes, including engineering change management, product structure and bill of materials (BOM) management, revision control, configuration baselines, and product lifecycle traceability., • Lead the development and integration of enterprise systems, including PLM, ERP, and MES platforms, to establish a consistent, accurate source of product configuration data across the organization., • Partner with engineering, manufacturing, supply chain, reliability, and software teams to translate complex technical and operational requirements into scalable software solutions that improve efficiency, data integrity, and change execution., • Drive automation and digital transformation initiatives that streamline engineering change workflows, eliminate manual processes, and improve visibility into product configurations throughout the hardware lifecycle., • Establish and enforce configuration management standards, data governance practices, and change control processes to ensure consistency, traceability, and compliance across the Terran R program. About You: • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline., • 8+ years of experience in technical product management, systems engineering, software engineering, or a related technical role within an advanced manufacturing or complex hardware development environment., • Deep understanding of configuration management principles, including engineering change control, BOM management, product structures, revision control, and configuration baselines., • Experience designing, implementing, or integrating enterprise systems such as PLM, ERP, or MES, with a strong understanding of how engineering data flows across manufacturing and supply chain operations., • Proficiency in programming languages or technical tools such as Python, SQL, JavaScript, Java, or C#, with the ability to understand system architecture, data models, and integration requirements., • Demonstrated ability to lead complex, cross-functional technical initiatives, influence stakeholders, and develop scalable solutions that balance engineering rigor with operational efficiency. Nice to Haves, But Not Required: • Experience with configuration management systems and processes in aerospace, defense, automotive, or other highly regulated manufacturing environments., • Familiarity with PLM platforms such as Siemens Teamcenter, PTC Windchill, or Dassault Systèmes ENOVIA., • Experience developing automated engineering change workflows, integrating enterprise applications through APIs, or building custom configuration management tools., • Knowledge of configuration management standards and best practices, including AS9100, EIA-649, or related aerospace quality requirements. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $175,000—$263,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com. Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy enduser enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space. About the Role: You will be responsible for designing, building, and continuously evolving scalable process infrastructure across the factory and supply chain ecosystem. You will take end-to-end ownership of core enterprise workflows—including MRP, procure-to-pay, material conveyance, factory automation, and change management—treating each as a product with a lifecycle that demands constant improvement, stakeholder alignment, and technical rigor. This role blends systems engineering, process design, and software integration, requiring both a deep understanding of manufacturing and supply chain operations and the ability to design technical solutions that are robust, intuitive, and performance-driven. • Architect and own end-to-end enterprise workflows across planning and execution, MRP, procure-to-pay, material movement, and change control—ensuring alignment with business needs and scalable technical solutions, • Develop and maintain technical infrastructure that supports process-as-a-product workflows, with a focus on data integrity, reliability, automation, and integration with enterprise systems. Continuously monitor and optimize performance across key workflows—leveraging real-time data to drive improvements in scheduling accuracy, fulfillment velocity, inventory health, and process compliance, • Collaborate cross-functionally with manufacturing, supply chain, software engineering, finance, and operations teams to define requirements, implement process changes, and deliver high-impact systems that drive efficiency and agility. Partner with product managers, analysts, and business stakeholders to translate complex operational needs into scalable, elegant solutions that create measurable value across the organization, • Lead factory and supply chain automation initiatives by identifying opportunities for digital transformation, designing integrated workflows, and ensuring seamless orchestration between physical and digital systems and establish and enforce rigorous standards for change management and data governance across the enterprise, ensuring consistency, traceability, and operational reliability. Deliver and maintain high-quality documentation of technical architecture, process flows, and interface contracts to support transparency, scalability, and team alignment, • A talent for distilling complex technical concepts into clear, concise explanations for non-experts. About You: • Bachelor's degree in Computer Science, Engineering, Supply Chain/Operations Management, or a related discipline, • 3+ years of working in a supply chain engineering, product engineering, software engineering or product management role with a focus on MRP or ERP systems within an advanced manufacturing environment, • Proficiency in programming languages such as Python, SQL, Javascript, Java, C#, • Advanced knowledge of supply chain and/or manufacturing processes, • Strong working knowledge of at least one of the following enterprise processes/workflows:, • Enterprise Planning / Material Requirements Planning for advanced manufacturing, • Procure to Pay, • Material Conveyance / Material Flow Automation, • Change Management / Config Management, • Manufacturing Execution / Factory Automation, • Data Integrity / Data Governance Nice to haves but not required: • Strong understanding of a variety of codebased technical infrastructure and information systems / database architecture, • Experience with cloud platforms and distributed systems, • Familiarity with modern software development practices and tools, including version control, continuous integration, and automated testing At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $129,000—$193,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com. Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job DescriptionJob Title: QALocation: RemoteDuration: 6 MonthsSalary: $ 30/hr. (all inclusive) Responsibilities:Effectively work in a fast-paced environment utilizing the Agile methodologyDevelop and maintain functional automation test scripts utilizing modular frameworks and best practicesExecute test scripts to validate correct functionality of applicationPerform various types of testing including smoke, white box, black box, integration, end-to-end, regression, and system testing as neededParticipate in requirement & design review sessions; evaluate requirements & design docs from a quality test automation standpointDocument defects and evaluate priority of defect based on overall application functionalityMulti-task to meet assignment deadlinesAccurately estimate work assignmentsIdentify obstacles and roadblocks; and offer suggestions to work around obstaclesHelp drive and improve QA process within the team you are assignedQualifications:2 + years of QA experienceExposure to QA processes and deliverables in an Agile/Scrum environmentExposure to defect tracking and analyzing root cause utilizing tools ( Jira , Rally etc.)Basic understanding of automation concepts and approaches – JavaExperience writing SQL queriesUnderstanding of writing Selenium tests in Java or Javascript using ( Web Driver , Web Driver IO, Marathon , Appium etc.)Understanding of test runners (Junit, TestNG, Mocha, Jasmine)Understanding of CI tools (Jenkins, TeamCity, GitLab)

Job DescriptionJunior Forward Deployed Engineer Location: Onsite, Rosemead, CA Schedule: 24/7/365 rotation; 12-hour shifts on a rotating 2-2-3 schedule, including nights, weekends, and holidays Reports to: Echo (Forward Deployed Strategist) Direct reports: None Travel: 0–10% Pay range: Based on experience The Role PVM is hiring a Forward Deployed Engineer to support Southern California Edison's environments in Palantir Foundry. These systems support wildfire mitigation, Public Safety Power Shutoff (PSPS) operations, and regulatory reporting. You will own features and workstreams from design through deployment without day-to-day direction. You will work directly with utility stakeholders and operational users, and you will be a steady hand during live operational events. You will also begin mentoring junior engineers. What You'll Do • Own Foundry features and workstreams end to end: design, build, test, and deployment, • Build ontology-driven Workshop applications, dashboards, workflows, and actions used by field operations, customer operations, and leadership, • Build and maintain data pipelines that integrate SAP, OMS, GIS, weather, customer, and operational systems, • Contribute to ontology design: object types, link types, properties, and business logic across operational use cases, • Lead troubleshooting and root cause analysis on your shift during critical operational events, • Translate stakeholder requirements into scalable Foundry solutions, • Support release management, deployment promotion, testing coordination, and environment governance, • Maintain technical documentation, runbooks, and architecture diagrams, • Mentor junior engineers on Workshop development and Foundry best practicesRequired Qualifications, • Bachelor's degree in computer science, engineering, information systems, or a related field, plus 3–5 years of software engineering or systems integration experience, • In lieu of a degree: at least 7 years of relevant experience, • Hands-on experience with Palantir Foundry Ontology Manager, Workshop, Actions, and Pipeline Builder, • Experience with Python, TypeScript, or Java in Foundry development workflows, • Experience integrating ERP, GIS, operational, or enterprise systems, • Experience supporting production platforms or on-call rotations, • Willingness to work 12-hour rotating shifts onsite in Rosemead, CA, including nights, weekends, and holidaysPreferred Qualifications, • Palantir Foundry certification, • Familiarity with utility operations, wildfire mitigation, public safety, outage management, asset management, or regulatory reporting, • Experience supporting energy, infrastructure, emergency management, or other operational environments About PVM & Benefits At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth. Here are a few highlights of the advantages of being a part of the PVM community: • Opportunities for growth and advancement, • Tuition/Training reimbursement, • Peer bonus program, • Remote and on-site positions available, • Unlimited PTO, • Flexible work schedule PVM, Inc. is an SBA 8(a)-certified, Service-Disabled Veteran-Owned Small Business and Palantir USG Vanguard Partner. PVM is an equal opportunity employer.

Job Description This role is full-time, in-office at our Long Beach, CA headquarters. We're not able to offer remote or hybrid arrangements, so please only apply if you're able to work onsite full-time. About Us We are a fast-growing technology company building products used by hundreds of thousands of customers, backed by a supply chain spanning multiple distribution centers and a data platform processing millions of events daily. Engineering is not a support function here — it is a core driver of every major business outcome. We move fast, hold ourselves to a high bar, and believe the best engineering decisions are made by people who are close to the business. We are embracing AI not as a trend, but as a genuine multiplier — using it to ship better software, faster, while never losing sight of the craftsmanship that makes software great. The Role This is a forward-deployed engineering role with AI at its core. You will architect systems, write production-grade code, design databases, and own your projects end to end — with a primary focus on deploying AI capabilities directly into the business and products that serve real users. What defines this role is the expectation that you bring strong engineering fundamentals together with a hands-on, deployment-first mindset for AI-powered tools and workflows. You are not required to be an AI researcher or an ML specialist. You are expected to be an excellent engineer who deploys AI where it creates real value — using it to accelerate delivery, build intelligent features, and solve hard problems, while applying your own judgment to validate, refine, and own the outcome. Strong Engineering Core • Design robust, scalable systems from the ground up, • Write clean, well-tested, maintainable code, • Optimize database performance and data models, • Debug complex issues across the full stack, • Own code quality through rigorous peer review, • Deliver reliable software with measurable outcomes AI as a Force Multiplier • Use AI coding assistants to accelerate development, • Leverage LLMs to generate boilerplate, tests, and docs, • Build AI-powered features where they add real user value, • Apply AI to improve code review, debugging, and analysis, • Evaluate AI outputs critically — judgment still wins, • Stay current and bring new AI tools to the team Our Culture What We Believe • Outcomes over activity — we measure what ships and what works., • Speed is a feature — long approval chains kill great products., • Radical candor — honest feedback is a form of respect., • Learning is non-negotiable — every sprint is a chance to improve., • No politics, no silos — collaborate openly across every team. How We Work • Fast-paced sprints with a strong bias toward shipping., • Engineers own requirements, architecture, and roadmap input., • AI tools are standard kit — we share what works., • Blameless post-mortems — failure is a learning event., • Async-first with intentional synchronous collaboration. Key Responsibilities Core Software Engineering (50%) • Design, build, and maintain scalable, high-quality software systems and APIs that serve real users in production., • Write clean, well-structured code with appropriate test coverage — unit, integration, and end-to-end., • Architect and optimize relational and non-relational database schemas, queries, and data models for performance and reliability., • Conduct meaningful code reviews that improve team quality and share knowledge, not just catch syntax errors., • Debug, profile, and resolve performance bottlenecks and production issues with urgency and rigor., • Contribute to technical architecture decisions — propose solutions, evaluate tradeoffs, and document outcomes., • Participate actively in Agile ceremonies: sprint planning, standups, retrospectives, and backlog refinement. AI-Forward Deployment (35%) • Deploy AI solutions end-to-end — from identifying the right use case, to building and shipping LLM-powered features directly into products and internal workflows., • Incorporate LLM APIs and AI frameworks into product features where they create genuine user value: search, summarization, recommendations, intelligent automation, and decision support., • Apply critical engineering judgment to evaluate, refine, and validate all AI-generated outputs before they reach production — you own the result, not just the prompt., • Use AI coding assistants (GitHub Copilot, Cursor, Claude Code) as a daily accelerator — and champion effective AI tool patterns and prompt strategies across the team., • Stay at the front edge of the AI tooling landscape — evaluate new models, frameworks, and techniques and bring back deployment-ready recommendations that move the business forward. Cross-Team Collaboration & Communication (15%) • Partner with Marketing, Customer Experience, Data Science, Merchandising, Warehouse Ops, and Finance to understand requirements and deliver technical solutions., • Translate technical concepts clearly for non-technical stakeholders — written documentation, presentations, and live discussions., • Present project outcomes and architectural decisions to senior leadership with confidence and clarity., • Contribute to a culture of knowledge sharing: write internal documentation, run team demos, and mentor peers. Cross-Team Collaboration Engineering here is a visible, active partner across the business — not a back-room function. You will work directly with teams who depend on the systems and data you build. Strong communication and commercial awareness are just as important as great code. • Marketing: Personalization, campaign analytics, A/B platforms, • Customer Experience: AI support tools, self-service flows, CSAT pipelines, • Data Science: Model integration, feature engineering, shared infra, • Merchandising: Pricing, inventory intelligence, catalog tooling, • Warehouse Ops: Fulfillment automation, routing, operational dashboards, • Finance & Ops: Cost models, reporting pipelines, forecasting, • Supply Chain: Vendor integrations, PO systems, logistics optimization, • Product: Feature scoping, roadmap input, rapid prototyping, • Security: Secure design, data privacy, compliance tooling Required Qualifications Engineering Fundamentals — Non-Negotiable • Experience: 3–6 years of professional software engineering in a production environment, with a portfolio of real systems you have owned and shipped., • Languages: Strong proficiency in one or more of: Python, Java, TypeScript, Go, or C#. Depth matters more than breadth., • Software Design: Solid grasp of OOP, SOLID principles, design patterns, and how to make architectural decisions with long-term maintainability in mind., • Databases: Confident with relational databases (PostgreSQL, MySQL) — schema design, indexing, query optimization, and transactions. Working knowledge of at least one NoSQL store (MongoDB, Redis, DynamoDB)., • APIs & Integration: Experience designing and consuming RESTful APIs; comfortable reading and writing service contracts and integration documentation., • Testing: Writes meaningful unit, integration, and end-to-end tests — not for coverage metrics, but for genuine confidence in your code., • Cloud & DevOps: Familiar with at least one major cloud platform (AWS, GCP, Azure), Docker, CI/CD pipelines, and basic infrastructure practices., • Version Control: Strong Git workflow: branching strategies, pull requests, and code review culture. AI Literacy — Expected & Growing • AI Tool Adoption: Actively uses AI coding assistants in day-to-day development and can demonstrate concrete productivity or quality improvements as a result., • LLM Integration: Has built or integrated at least one LLM-powered feature or workflow in a real project — even if exploratory or side-project experience counts., • Prompt Awareness: Understands the basics of prompt design, few-shot examples, and how to get reliable, structured outputs from LLM APIs., • Critical Evaluation: Applies engineering discipline to AI outputs — tests them, validates them, and knows when not to trust them., • Curiosity: Genuinely interested in how AI tooling is evolving and proactively experiments with new approaches. Preferred Qualifications • Experience building RAG pipelines or working with vector databases (Pinecone, pgvector, Weaviate, etc.)., • Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar orchestration tools., • Exposure to ML concepts: embeddings, model evaluation, fine-tuning, and working with data science teams., • Experience with observability and monitoring tooling (Datadog, Grafana, OpenTelemetry, or equivalent)., • Background in microservices architecture and event-driven systems (Kafka, RabbitMQ, etc.)., • Knowledge of security best practices: OWASP Top 10, authentication/authorization, input validation., • Experience with Agile/Scrum methodologies and tools like Jira or Linear., • Open-source contributions or public portfolio demonstrating your engineering work. Core Competencies • Engineering Craft: Clean, tested, maintainable code, • Database Acumen: SQL, NoSQL, schema & performance, • AI Fluency: Tools + LLMs as force multipliers, • Performance Mindset: Measures, optimizes, validates, • Quality Discipline: Tests like production depends on it, • Cross-Team Voice: Fluent in code AND in business, • Sound Judgment: Knows when — and when NOT — to use AI, • Ownership Drive: Ships end-to-end, measures impact Technology Landscape Languages: Python, TypeScript, Java, Go, SQL Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, pgvector Cloud & Infra: AWS / GCP / Azure, Docker, Kubernetes, Terraform APIs: REST, GraphQL, gRPC, OpenAPI / Swagger AI & LLM: OpenAI, Anthropic Claude, Gemini — integrated as features, not the foundation AI Dev Tools: GitHub Copilot, Cursor, Claude Code — used daily to accelerate engineering Observability: Datadog, OpenTelemetry, Prometheus, Grafana Data: PostgreSQL, dbt, Airflow, Spark, Kafka CI/CD: GitHub Actions, ArgoCD, Jenkins, CircleCI Equal Opportunity Employer CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.

Job DescriptionThis job is with Encode, Inc a fully owned subsidiary of Lancesoft Enter Job Description... Work Location: Seal Beach, CA 52-880 Building 52-880 Position Comments: Max bill rate: $159.52 Shifts: 1st (7:00am – 3:30pm) Onsite/remote/hybrid: 100% Onsite Interview Information: Teams (coding challenge will occur during the interview) TS SCI required post start Designs, develops, tests, and maintains non-embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analyzes, and translates customer requirements into initial design of software products. Develops, maintains, enhances and optimizes software products and functionalities for systems integrations. Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software products. Debugs and resolves issues identified to ensure the reliability and efficiency of software products. Handles user inquiries, troubleshoots technical issues and user feedback analysis. Implements current and emerging technologies, tools, frameworks and changes in regulations relevant to software development. Develops, establishes, monitors and improves software processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks. Executes and documents software research and development projects. Advises on software domains, system-specific issues, processes and regulations. Performs software project management activities and software supplier management functions. Tracks and evaluates software team and supplier performance to ensure product and process compliance to project plans and industry standards. Position Responsibilities • Develop and maintain requirements, architecture, algorithms, interfaces, and designs for high-performance APIs between front-end and back-end software services., • Support software development activities in an Agile environment using DevSecOps methodologies, including integration of completed software components into a fully functional software system., • Lead the development of critical features and take ownership of the full development lifecycle from design through deployment., • Build, architect, and consume APIs and backend services as part of the platform ecosystem, with an emphasis on automation, testing, and security., • Conduct code reviews to maintain code quality, enforce best practices, and ensure compliance with established standards., • Support the creation and translation of design mockups into functional, visually appealing user interfaces using modern front-end frameworks and technologies., • Advocate for improvements to product quality, security, and performance that positively impact the team and broader organization., • Work effectively in ambiguous environments and self-direct work as needed. Basic Qualifications (Required Skills/Experience): • Bachelor’s, Master’s or Doctorate degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or another related field., • Active Top Secret or DoD Top Secret clearance, • 3+ years of experience in software development for space systems and ground segments, including command and control, mission planning, and data processing., • 3+ years of experience with software development using Python, Java, TypeScript, or FastAPI Preferred Qualifications (Desired Skills/Experience): • Active TS/SCI or DoD Top Secret/SCI clearance., • Bachelor’s, Master’s or Doctorate degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or another related field., • 3+ years of experience supporting open-source software development projects., • 5+ years of progressively responsible software development experience with modern software development approach for government programs., • 5+ years of experience with designing and developing intuitive user interfaces featuring real-time, 2D/3D geospatial visualization., • 5+ years of experience with open-source software development experience., • 5+ years of experience with fine tuning Kubernetes and the underlying host OS for optimal performance., • Understanding of Command and Control (C2) systems, Mission Planning, Ground Systems, real-time applications, and their specific requirements., • 5+ years of experience with database technologies (Postgres, SQL/NoSQL), • Strong experience designing and implementing CI/CD pipelines in GitLab to automate testing, builds, and deployment workflows., • 3+ years of experience in the software development lifecycle, including requirements analysis, design, coding, integration, and test., • Experience working in an Agile software development environment and with DevOps methodologies. Education / Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Additional Information Full Time / Part Time / On Call: Full time Shift: First Start Time: 7:00 AM End Time: 3:30 PM Does this position require a U.S person for purposes of Export Compliance?: Yes Requested Security Clearance: Top Secret Is Clearance Required To Start?: Yes Safety Sensitive?: Not Required - Non-Safety Sensitive Position Travel Required?: Yes International Travel Required: No Travel Comments: Travel up to 10% (El Segundo or Colorado Springs) No OT/DOT expected Is Hiring Manager Open to Supplier Contact?: No Preferred Contact Information: At Encode, we believe that our employees are our greatest asset, and we are committed to fostering a supportive and inclusive work environment. We offer a comprehensive benefits package that includes health insurance, retirement plans, and generous paid time off. Our flexible work arrangements and emphasis on work-life balance ensure that our employees can achieve their professional goals while maintaining a healthy personal life. Additionally, we provide opportunities for continuous learning and career advancement, including professional development programs and access to cutting-edge technologies. As a cleared facility, we have a particular need for individuals with active Secret or Top Secret clearances. Your expertise and security clearance would be invaluable in supporting our mission-critical projects and ensuring the highest standards of security and compliance. We would love to discuss how your experience and skills align with our needs and explore potential opportunities with Encode. If you are interested in learning more, please reply to this email with your updated resume and a convenient time for a brief conversation. Thank you for considering this opportunity. We look forward to the possibility of working together and contributing to your professional journey.

Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Reliability team at Relativity Space ensures quality is built into every stage of the Terran R design and production process, embedding reliability from the very beginning. The team works directly with design, manufacturing, test, and launch teams to stay close to the hardware, understand constraints, and proactively shape decisions. As the program moves from development into production and scaled operations, this is the time to establish the right processes, controls, and inspections without slowing progress. The team plays a key role in balancing risk, fostering a culture of ownership, and making sure speed never comes at the cost of reliability. Success means creating a quality system that scales with the Terran R program and Relativity as a whole. About the Role: You will be responsible for designing, building, and continuously evolving scalable process infrastructure across the factory and supply chain ecosystem. You will take end-to-end ownership of core enterprise workflows—including MRP, procure-to-pay, material conveyance, factory automation, and change management—treating each as a product with a lifecycle that demands constant improvement, stakeholder alignment, and technical rigor. This role blends systems engineering, process design, and software integration, requiring both a deep understanding of manufacturing and supply chain operations and the ability to build technical solutions that are robust, intuitive, and performance-driven. • Architect and own end-to-end enterprise workflows across planning and execution, MRP, procure-to-pay, material movement, and change control—ensuring alignment with business needs and scalable technical solutions., • Develop and maintain technical infrastructure that supports process-as-a-product workflows, with a focus on data integrity, reliability, automation, and integration with enterprise systems. Continuously monitor and optimize performance across key workflows—leveraging real-time data to drive improvements in scheduling accuracy, fulfillment velocity, inventory health, and process compliance., • Collaborate cross-functionally with manufacturing, supply chain, software engineering, finance, and operations teams to define requirements, implement process changes, and deliver high-impact systems that drive efficiency and agility. Partner with product managers, analysts, and business stakeholders to translate complex operational needs into scalable, elegant solutions that create measurable value across the organization., • Lead factory and supply chain automation initiatives by identifying opportunities for digital transformation, designing integrated workflows, and ensuring seamless orchestration between physical and digital systems and establish and enforce rigorous standards for change management and data governance across the enterprise, ensuring consistency, traceability, and operational reliability. Deliver and maintain high-quality documentation of technical architecture, process flows, and interface contracts to support transparency, scalability, and team alignment.About You:, • Bachelor's degree in Computer Science, Engineering, Supply Chain/Operations Management, or a related discipline, • 3+ years of working in a supply chain engineering, product engineering, or software engineering role with a focus on MRP or ERP systems within an advanced manufacturing environment, • Proficiency in programming languages such as Python, SQL, Javascript, Java, C#, • Advanced knowledge of supply chain and/or manufacturing processes, • Strong working knowledge of at least one of the following enterprise processes/workflows:, • Enterprise Planning / Material Requirements Planning for advanced manufacturing, • Procure to Pay, • Material Conveyance / Material Flow Automation, • Change Management / Config Management, • Manufacturing Execution / Factory Automation, • Data Integrity / Data GovernanceNice to haves but not required:, • Strong understanding of a variety of codebased technical infrastructure and information systems / database architecture, • Experience with cloud platforms and distributed systems, • Familiarity with modern software development practices and tools, including version control, continuous integration, and automated testing, • A talent for distilling complex technical concepts into clear, concise explanations for non-experts., • The types of people who succeed in this role have been similar to the following:, • Sr Systems/Data Analysts who want to get more into software and product design, • Software engineers who want to get more into systems and product design, • Product managers who want to get more into technical development of systems/platforms/processes/workflows, • Operations engineers who want to get deeper into software and product design At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $148,000—$222,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com. Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job DescriptionJob Title: QA AnalystLocation: Remote Rate: $ 40 hrDuration: 12 months Contract with possible extensions/conversionTools -Eclipse or any other IDE can workGradleJenkinsCucumberGITSkills - Basic Java & SQLCoverage -Currently we are automatic all feasible trx for Rest and Soap both services, depending on criticality of trx we cover below steps as applicable.Validation of success responseValidation of required tags getting retrieved in ResponseValidation of data being retrieved in response by comparing with DB valuesKafka Key logged in MDM Notification TableSurvivorship rules when Party getting mergedNegative cases and error messages validationWe pass dynamic data runtime so that same Tc can be used in multiple env without data dependency.We also try to inactivate data created by automation framework

Job Description This role is full-time, in-office at our Long Beach, CA headquarters. We're not able to offer remote or hybrid arrangements, so please only apply if you're able to work onsite full-time. About Us We are a fast-growing technology company building products used by hundreds of thousands of customers, backed by a supply chain spanning multiple distribution centers and a data platform processing millions of events daily. Engineering is not a support function here — it is a core driver of every major business outcome. We move fast, hold ourselves to a high bar, and believe the best engineering decisions are made by people who are close to the business. We are embracing AI not as a trend, but as a genuine multiplier — using it to ship better software, faster, while never losing sight of the craftsmanship that makes software great. The Role This is a forward-deployed engineering role with AI at its core. You will architect systems, write production-grade code, design databases, and own your projects end to end — with a primary focus on deploying AI capabilities directly into the business and products that serve real users. What defines this role is the expectation that you bring strong engineering fundamentals together with a hands-on, deployment-first mindset for AI-powered tools and workflows. You are not required to be an AI researcher or an ML specialist. You are expected to be an excellent engineer who deploys AI where it creates real value — using it to accelerate delivery, build intelligent features, and solve hard problems, while applying your own judgment to validate, refine, and own the outcome. Strong Engineering Core • Design robust, scalable systems from the ground up, • Write clean, well-tested, maintainable code, • Optimize database performance and data models, • Debug complex issues across the full stack, • Own code quality through rigorous peer review, • Deliver reliable software with measurable outcomes AI as a Force Multiplier • Use AI coding assistants to accelerate development, • Leverage LLMs to generate boilerplate, tests, and docs, • Build AI-powered features where they add real user value, • Apply AI to improve code review, debugging, and analysis, • Evaluate AI outputs critically — judgment still wins, • Stay current and bring new AI tools to the team Our Culture What We Believe • Outcomes over activity — we measure what ships and what works., • Speed is a feature — long approval chains kill great products., • Radical candor — honest feedback is a form of respect., • Learning is non-negotiable — every sprint is a chance to improve., • No politics, no silos — collaborate openly across every team. How We Work • Fast-paced sprints with a strong bias toward shipping., • Engineers own requirements, architecture, and roadmap input., • AI tools are standard kit — we share what works., • Blameless post-mortems — failure is a learning event., • Async-first with intentional synchronous collaboration. Key Responsibilities Core Software Engineering (50%) • Design, build, and maintain scalable, high-quality software systems and APIs that serve real users in production., • Write clean, well-structured code with appropriate test coverage — unit, integration, and end-to-end., • Architect and optimize relational and non-relational database schemas, queries, and data models for performance and reliability., • Conduct meaningful code reviews that improve team quality and share knowledge, not just catch syntax errors., • Debug, profile, and resolve performance bottlenecks and production issues with urgency and rigor., • Contribute to technical architecture decisions — propose solutions, evaluate tradeoffs, and document outcomes., • Participate actively in Agile ceremonies: sprint planning, standups, retrospectives, and backlog refinement. AI-Forward Deployment (35%) • Deploy AI solutions end-to-end — from identifying the right use case, to building and shipping LLM-powered features directly into products and internal workflows., • Incorporate LLM APIs and AI frameworks into product features where they create genuine user value: search, summarization, recommendations, intelligent automation, and decision support., • Apply critical engineering judgment to evaluate, refine, and validate all AI-generated outputs before they reach production — you own the result, not just the prompt., • Use AI coding assistants (GitHub Copilot, Cursor, Claude Code) as a daily accelerator — and champion effective AI tool patterns and prompt strategies across the team., • Stay at the front edge of the AI tooling landscape — evaluate new models, frameworks, and techniques and bring back deployment-ready recommendations that move the business forward. Cross-Team Collaboration & Communication (15%) • Partner with Marketing, Customer Experience, Data Science, Merchandising, Warehouse Ops, and Finance to understand requirements and deliver technical solutions., • Translate technical concepts clearly for non-technical stakeholders — written documentation, presentations, and live discussions., • Present project outcomes and architectural decisions to senior leadership with confidence and clarity., • Contribute to a culture of knowledge sharing: write internal documentation, run team demos, and mentor peers. Cross-Team Collaboration Engineering here is a visible, active partner across the business — not a back-room function. You will work directly with teams who depend on the systems and data you build. Strong communication and commercial awareness are just as important as great code. • Marketing: Personalization, campaign analytics, A/B platforms, • Customer Experience: AI support tools, self-service flows, CSAT pipelines, • Data Science: Model integration, feature engineering, shared infra, • Merchandising: Pricing, inventory intelligence, catalog tooling, • Warehouse Ops: Fulfillment automation, routing, operational dashboards, • Finance & Ops: Cost models, reporting pipelines, forecasting, • Supply Chain: Vendor integrations, PO systems, logistics optimization, • Product: Feature scoping, roadmap input, rapid prototyping, • Security: Secure design, data privacy, compliance tooling Required Qualifications Engineering Fundamentals — Non-Negotiable • Experience: 3–6 years of professional software engineering in a production environment, with a portfolio of real systems you have owned and shipped., • Languages: Strong proficiency in one or more of: Python, Java, TypeScript, Go, or C#. Depth matters more than breadth., • Software Design: Solid grasp of OOP, SOLID principles, design patterns, and how to make architectural decisions with long-term maintainability in mind., • Databases: Confident with relational databases (PostgreSQL, MySQL) — schema design, indexing, query optimization, and transactions. Working knowledge of at least one NoSQL store (MongoDB, Redis, DynamoDB)., • APIs & Integration: Experience designing and consuming RESTful APIs; comfortable reading and writing service contracts and integration documentation., • Testing: Writes meaningful unit, integration, and end-to-end tests — not for coverage metrics, but for genuine confidence in your code., • Cloud & DevOps: Familiar with at least one major cloud platform (AWS, GCP, Azure), Docker, CI/CD pipelines, and basic infrastructure practices., • Version Control: Strong Git workflow: branching strategies, pull requests, and code review culture. AI Literacy — Expected & Growing • AI Tool Adoption: Actively uses AI coding assistants in day-to-day development and can demonstrate concrete productivity or quality improvements as a result., • LLM Integration: Has built or integrated at least one LLM-powered feature or workflow in a real project — even if exploratory or side-project experience counts., • Prompt Awareness: Understands the basics of prompt design, few-shot examples, and how to get reliable, structured outputs from LLM APIs., • Critical Evaluation: Applies engineering discipline to AI outputs — tests them, validates them, and knows when not to trust them., • Curiosity: Genuinely interested in how AI tooling is evolving and proactively experiments with new approaches. Preferred Qualifications • Experience building RAG pipelines or working with vector databases (Pinecone, pgvector, Weaviate, etc.)., • Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar orchestration tools., • Exposure to ML concepts: embeddings, model evaluation, fine-tuning, and working with data science teams., • Experience with observability and monitoring tooling (Datadog, Grafana, OpenTelemetry, or equivalent)., • Background in microservices architecture and event-driven systems (Kafka, RabbitMQ, etc.)., • Knowledge of security best practices: OWASP Top 10, authentication/authorization, input validation., • Experience with Agile/Scrum methodologies and tools like Jira or Linear., • Open-source contributions or public portfolio demonstrating your engineering work. Core Competencies • Engineering Craft: Clean, tested, maintainable code, • Database Acumen: SQL, NoSQL, schema & performance, • AI Fluency: Tools + LLMs as force multipliers, • Performance Mindset: Measures, optimizes, validates, • Quality Discipline: Tests like production depends on it, • Cross-Team Voice: Fluent in code AND in business, • Sound Judgment: Knows when — and when NOT — to use AI, • Ownership Drive: Ships end-to-end, measures impact Technology Landscape Languages: Python, TypeScript, Java, Go, SQL Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, pgvector Cloud & Infra: AWS / GCP / Azure, Docker, Kubernetes, Terraform APIs: REST, GraphQL, gRPC, OpenAPI / Swagger AI & LLM: OpenAI, Anthropic Claude, Gemini — integrated as features, not the foundation AI Dev Tools: GitHub Copilot, Cursor, Claude Code — used daily to accelerate engineering Observability: Datadog, OpenTelemetry, Prometheus, Grafana Data: PostgreSQL, dbt, Airflow, Spark, Kafka CI/CD: GitHub Actions, ArgoCD, Jenkins, CircleCI Equal Opportunity Employer CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.

Job DescriptionJunior Forward Deployed Engineer Location: Onsite, Rosemead, CA Schedule: 24/7/365 rotation; 12-hour shifts on a rotating 2-2-3 schedule, including nights, weekends, and holidays Reports to: Echo (Forward Deployed Strategist) Direct reports: None Travel: 0–10% Pay range: Based on experience The Role PVM is hiring a Junior Forward Deployed Engineer to support Southern California Edison's environments in Palantir Foundry. These systems support wildfire mitigation, Public Safety Power Shutoff (PSPS) operations, and regulatory reporting. You will build and maintain Foundry applications, pipelines, and dashboards under the guidance of senior engineers. You will work a rotating shift on a team that keeps mission-critical utility systems running during live operational events. This is a role for someone early in their career who wants to learn Foundry and operational delivery quickly. What You'll Do • Build and maintain Workshop applications, dashboards, and workflows under direction from Mid and Senior engineers, • Support data pipelines that integrate SAP, OMS, GIS, weather, customer, and operational data, • Monitor production systems during your shift and escalate issues quickly to the right engineer, • Help with incident response, troubleshooting, and root cause analysis during critical events, • Perform functional, regression, and user-acceptance testing on new features and releases, • Write and update technical documentation, operational runbooks, and support procedures, • Take part in operational readiness exercises and tabletop events, • Participate in PVM's peer mentorship programRequired Qualifications, • Associate's degree in computer science, engineering, information systems, or a related field, plus at least 1 year of software engineering, data engineering, or systems integration experience, • In lieu of a degree: at least 3 years of relevant experience, • Working knowledge of Python, TypeScript, or Java, • Willingness to work 12-hour rotating shifts onsite in Rosemead, CA, including nights, weekends, and holidays, • Strong problem-solving skills and clear communication under pressurePreferred Qualifications, • Bachelor's degree in a technical field, • Exposure to Palantir Foundry, or a similar data platform, through work, coursework, or certification, • Familiarity with utility operations, wildfire mitigation, emergency management, outage management, or other operational environments About PVM & Benefits At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth. Here are a few highlights of the advantages of being a part of the PVM community: • Opportunities for growth and advancement, • Tuition/Training reimbursement, • Peer bonus program, • Remote and on-site positions available, • Unlimited PTO, • Flexible work schedule PVM, Inc. is an SBA 8(a)-certified, Service-Disabled Veteran-Owned Small Business and Palantir USG Vanguard Partner. PVM is an equal opportunity employer.

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