Job Title: Core Java Engineer Location: New York, NY - Full-time in office, 9-5 Duration: Contract - 5 months, opportunity to convert to FTE Pay Range: $60/hr - $67/hr (W2) Interview process: Two rounds via Zoom or in person, including a live coding assessment. About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer, Core Java to join our dynamic team. The ideal candidate will have strong experience in Core Java, Spring Boot, automated testing, AWS, and component design and a proven ability to design, develop, and deliver secure, high-quality production software and troubleshoot complex issues end to end. Responsibilities: Execute software solutions through design, development, and technical troubleshooting while applying nonroutine problem-solving approaches. Create secure, high-quality production code and maintain algorithms that operate synchronously across integrated systems. Produce architecture and design artifacts for complex applications and ensure code adheres to design constraints. Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that inform continuous improvement. Identify hidden problems and data patterns to drive improvements to coding hygiene and system architecture. Contribute to engineering communities of practice and events exploring new and emerging technologies. Support a team culture that values diversity, equity, inclusion, and respect. Required Skills & Qualifications: 3+ years of applied software engineering experience with formal training or certification. Proficiency in Core Java and Spring Boot, with end-to-end component design experience. Automation and testing tools proficiency for at least 3 years, including unit, integration, and performance testing. Hands-on experience with AWS infrastructure and services. Experience with AI tools for at least 1 year to enhance development or operations workflows. Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages. Knowledge of SDLC, Agile methodologies, CI/CD, application resiliency, and security fundamentals. Preferred Skills: Experience working across cross-functional teams and creating Java-based support applications. Exposure to cloud-native patterns and broader cloud technologies. Familiarity with front-end technologies such as React, React Hooks, TypeScript, GraphQL, and SPA patterns. Experience using analytics platforms like Google Analytics, Segment, or Amplitude to inform product decisions. Understanding of common UX patterns and performance testing practices. Domain knowledge in financial services systems. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
11/05/2026
Full time
Job Title: Core Java Engineer Location: New York, NY - Full-time in office, 9-5 Duration: Contract - 5 months, opportunity to convert to FTE Pay Range: $60/hr - $67/hr (W2) Interview process: Two rounds via Zoom or in person, including a live coding assessment. About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer, Core Java to join our dynamic team. The ideal candidate will have strong experience in Core Java, Spring Boot, automated testing, AWS, and component design and a proven ability to design, develop, and deliver secure, high-quality production software and troubleshoot complex issues end to end. Responsibilities: Execute software solutions through design, development, and technical troubleshooting while applying nonroutine problem-solving approaches. Create secure, high-quality production code and maintain algorithms that operate synchronously across integrated systems. Produce architecture and design artifacts for complex applications and ensure code adheres to design constraints. Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that inform continuous improvement. Identify hidden problems and data patterns to drive improvements to coding hygiene and system architecture. Contribute to engineering communities of practice and events exploring new and emerging technologies. Support a team culture that values diversity, equity, inclusion, and respect. Required Skills & Qualifications: 3+ years of applied software engineering experience with formal training or certification. Proficiency in Core Java and Spring Boot, with end-to-end component design experience. Automation and testing tools proficiency for at least 3 years, including unit, integration, and performance testing. Hands-on experience with AWS infrastructure and services. Experience with AI tools for at least 1 year to enhance development or operations workflows. Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages. Knowledge of SDLC, Agile methodologies, CI/CD, application resiliency, and security fundamentals. Preferred Skills: Experience working across cross-functional teams and creating Java-based support applications. Exposure to cloud-native patterns and broader cloud technologies. Familiarity with front-end technologies such as React, React Hooks, TypeScript, GraphQL, and SPA patterns. Experience using analytics platforms like Google Analytics, Segment, or Amplitude to inform product decisions. Understanding of common UX patterns and performance testing practices. Domain knowledge in financial services systems. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
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 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, Deepak at or Dinesh at Title: AI Developer Location: Palo Alto, CA Duration: 3 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Job Description: About the Team The Enterprise AI team is our client's internal AI enablement engine. They 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. They operate at the intersection of applied AI, distributed systems, and enterprise operations their 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 our 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 our 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.
11/05/2026
Full time
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 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, Deepak at or Dinesh at Title: AI Developer Location: Palo Alto, CA Duration: 3 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Job Description: About the Team The Enterprise AI team is our client's internal AI enablement engine. They 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. They operate at the intersection of applied AI, distributed systems, and enterprise operations their 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 our 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 our 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.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Principal Software Engineer / Developer (Level 5) to support our Phantom Works Software Engineering team located in Berkeley, MO (St. Louis area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. You will be part of the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team, where you will define, develop, and lead software development for real-time air and/or space systems in an Agile environment. This role requires close collaboration across teams to integrate software and hardware components, supporting mission-critical Defense infrastructure. Due to the scope and responsibilities of Phantom Works, this position requires a U.S. Top Secret security clearance for which the US Government requires US Citizenship. Join Us. Build the Future. You'll have the opportunity to make a meaningful impact early in the software development lifecycle while working alongside exceptional Boeing engineers in a collaborative, inclusive team environment. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. (Berkeley, MO / St. Louis, MO area) Position Responsibilities: Own and maintain the software architecture with focus on interface clarity, stability, and versioning to minimize integration risk, with a focus on production type software that is easily maintainable. Partner with appropriate stakeholders to inform system definition and oversee translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Manage supplier/subcontractor software deliverables to ensure they meet team processes and integration requirements. Lead the software engineering team's agile delivery: facilitate sprint planning, daily stand-ups, sprint reviews/retrospectives, and remove impediments to flow. Serve as the Agile/Delivery lead for software-own backlog prioritization with product/system owners, define sprint goals, and ensure timely delivery of integration-ready increments. Define, document, and enforce software integration contracts (ICDs or equivalent living artifacts), data models, and message definitions in coordination with Integration & Test and Systems leads. Ensure software is designed for testability: require unit, component, integration, SIL/HIL test artifacts with code deliveries, include observability hooks, and ensure failures are diagnosable. Lead DevSecOps and CI/CD practices for the team: ensure pipelines support repeatable builds, automated testing, artifact traceability, and consistent deployments across dev, integration, and test environments. Collaborate with Integration & Test to align delivery cadence to integration increments and controlled configuration baselines. Drive verification & validation execution for software components: support development of test strategies, analyze test results, and triage defects with the team. Establish and track delivery metrics (velocity, cycle time, quality metrics, technical debt) and use them to improve predictability and quality. Coach and mentor engineers on agile practices, test automation, CI/CD, code quality, and observability. Contribute to risk and issue management that affects software delivery and integration readiness; escalate when necessary to protect integration milestones. Document integration results, test findings, and provide inputs for design reviews and readiness assessments. Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active Top Secret U.S. Security Clearance for which the US Government requires US Citizenship. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 3+ years of technical leadership experience in ground and software system systems engineering (requirements, design, and operation) 3+ years of experience as the technical leader of a software development or product deployment team 5+ years of experience with Development Operations (DevOps) and/or Development Security Operations (DevSecOps) 5+ years of experience with configuration management tools and best practices for Systems, Software, and Hardware design Preferred Qualifications (Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience Advanced degree (MS/PhD) in a relevant field. Practical experience with requirements tracing and configuration management. Certified Scrum Master (CSM), Professional Scrum Master (PSM), SAFe Agilist, or equivalent agile certification. Prior leadership on aerospace, defense, avionics, or other safety critical systems. Experience with cloud-native infrastructures (Docker/Kubernetes, AWS GovCloud, Azure Government). Experience with model-based design/verification and SIL/HIL testing environments. Experience managing subcontractor software deliveries. Significant experience with real-time embedded software (C/C++), low-level driver development, network stacks, and hardware/software testing/debugging for microcontrollers and/or FPGAs Experience & ability to implement real-time embedded hardware, firmware & software Possess strong analytical skills, knowledge & proficiency with physical modeling and simulation tools High level software development experience for applied physics, modeling, and/or simulation using MATLAB, Python, and or Jupyter, etc. Experience in real-time embedded systems and low-level driver development with microcontrollers, single board computers, and/or FPGAs Perform control system logic/algorithm, hardware, and software development tasks Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. Travel: Occasional travel (10%) to California may be required. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior/Lead Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift . click apply for full job details
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking an experienced System Architect to own the architecture of Hivemind Forge - an AI development ecosystem and the segment of Hivemind that enables developers to build, train, tune, evaluate, optimize, and deploy learning-based autonomy solutions. You will join the Systems Engineering, Integration, & Test (SEIT) team in the Hivemind Enterprise organization. This ecosystem combines developer tools, APIs, data infrastructure, simulation, AI/ML workflows, and GenAI-enabled automation to accelerate the delivery of autonomous capabilities using Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, world models, foundation models, and other applied AI technologies. As the responsible architect, you will define the comprehensive architecture for this product area, maintain architectural integrity across development teams, and ensure the ecosystem can operate across enterprise cloud, high-performance computing, and secure or disconnected deployment environments. You will work at the intersection of software architecture, AI/ML, data architecture, systems engineering, developer experience, and Generative AI-enabled engineering to create an ecosystem that dramatically reduces the time required to transform mission needs and data into deployable, intelligent autonomous capabilities. What you'll do: Own and evolve the architecture of the Hivemind Forge AI development ecosystem. Define and maintain architecture products in an integrated model-based systems engineering (MBSE) environment, connecting architectural intent to engineering execution. Establish architectural patterns, interfaces, APIs, SDK concepts, and technical standards across software, AI/ML, data, simulation, and deployment capabilities. Define the data and metadata architecture underpinning the AI development lifecycle, including schemas, relationships, lineage, provenance, versioning, and lifecycle management. Ensure traceable pedigree across datasets, training configurations, model artifacts, evaluations, software versions, and deployed capabilities to support reproducibility and auditability. Architect GenAI-enabled and agentic development workflows that accelerate data curation, autonomy development, experimentation, evaluation, troubleshooting, and deployment while preserving human oversight, security, verification, and traceability. Define architectural patterns for integrating AI coding assistants, agents, foundation models, and natural-language interfaces with Hivemind development tools, APIs, SDKs, data, simulation, and engineering workflows. Define architecture for scalable AI/ML workloads across cloud, high-performance compute (HPC), and on-premises infrastructure, including orchestration, workload scheduling, containerization, storage, and data movement. Ensure the ecosystem can be deployed and operated in classified, air-gapped, disconnected, and other constrained enterprise environments while preserving security, configuration control, and reproducibility. Ensure AI-assisted and agentic development workflows preserve appropriate provenance, traceability, human oversight, verification, security, and reproducibility, particularly when contributing to deployed autonomous capabilities. Guide architecture for workflows spanning data ingestion and curation, synthetic data generation, model training and tuning, evaluation, optimization, validation, and deployment. Review and approve detailed software and data designs, resolve cross-team architectural issues, and maintain architectural integrity through implementation and integration. Partner with software, AI/ML, data, systems, product, and technical leadership teams to reduce the time from mission need to validated, deployable autonomy. Required qualifications: 10+ years of experience in software or software-intensive systems development, design, and/or architecture. Demonstrated experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems. Experience developing AI/ML solutions using synthetic and real-world data. Experience in data modeling and data architecture, including metadata, lineage, provenance, versioning, and lifecycle management. Understanding of how data, training configurations, model artifacts, evaluations, software, and deployments must be connected to provide end-to-end traceability, reproducibility, and auditability. Experience applying Generative AI, AI assistants, or agents to software, AI/ML, or engineering development workflows. Practical understanding of technologies such as Kubernetes, Slurm or comparable workload schedulers, containerization, infrastructure as code, and object/data storage platforms such as S3-compatible systems. Strong technical leadership and communication skills, with the ability to guide detailed design and maintain alignment across multiple engineering teams. Preferred qualifications: Experience designing AI-native or agentic workflows, including tool use, orchestration, retrieval, structured outputs, evaluation, and human-in-the-loop controls. Experience with MLOps, distributed training, simulation, synthetic data generation, experiment tracking, or model registries. Direct experience developing, training, tuning, evaluating, applying, or deploying VLMs, VLAs, world models, foundation models, or related modern AI models. Experience designing, deploying, or operating software and AI/ML platforms in classified, air-gapped, disconnected, or restricted-network environments. Experience with hybrid-cloud, multi-cloud, on-premises, or edge deployment architectures. Experience architecting autonomy, robotics, aerospace, unmanned systems, or other Physical AI applications. Experience applying MBSE methods and tools, including SysML and Cameo/MagicDraw. Experience delivering defense, aerospace, safety-relevant, or other high-assurance systems requiring rigorous configuration management, verification, and traceability. Impact; You will establish the architectural foundation that enables Hivemind users to transform mission needs, data, AI models, and software into deployable autonomous capabilities-faster, repeatedly, and with confidence in how each capability was created, evaluated, and validated. San Diego, CA range:$170,000 - $260,000 San Mateo, CA range: $210,000 - Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/03/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking an experienced System Architect to own the architecture of Hivemind Forge - an AI development ecosystem and the segment of Hivemind that enables developers to build, train, tune, evaluate, optimize, and deploy learning-based autonomy solutions. You will join the Systems Engineering, Integration, & Test (SEIT) team in the Hivemind Enterprise organization. This ecosystem combines developer tools, APIs, data infrastructure, simulation, AI/ML workflows, and GenAI-enabled automation to accelerate the delivery of autonomous capabilities using Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, world models, foundation models, and other applied AI technologies. As the responsible architect, you will define the comprehensive architecture for this product area, maintain architectural integrity across development teams, and ensure the ecosystem can operate across enterprise cloud, high-performance computing, and secure or disconnected deployment environments. You will work at the intersection of software architecture, AI/ML, data architecture, systems engineering, developer experience, and Generative AI-enabled engineering to create an ecosystem that dramatically reduces the time required to transform mission needs and data into deployable, intelligent autonomous capabilities. What you'll do: Own and evolve the architecture of the Hivemind Forge AI development ecosystem. Define and maintain architecture products in an integrated model-based systems engineering (MBSE) environment, connecting architectural intent to engineering execution. Establish architectural patterns, interfaces, APIs, SDK concepts, and technical standards across software, AI/ML, data, simulation, and deployment capabilities. Define the data and metadata architecture underpinning the AI development lifecycle, including schemas, relationships, lineage, provenance, versioning, and lifecycle management. Ensure traceable pedigree across datasets, training configurations, model artifacts, evaluations, software versions, and deployed capabilities to support reproducibility and auditability. Architect GenAI-enabled and agentic development workflows that accelerate data curation, autonomy development, experimentation, evaluation, troubleshooting, and deployment while preserving human oversight, security, verification, and traceability. Define architectural patterns for integrating AI coding assistants, agents, foundation models, and natural-language interfaces with Hivemind development tools, APIs, SDKs, data, simulation, and engineering workflows. Define architecture for scalable AI/ML workloads across cloud, high-performance compute (HPC), and on-premises infrastructure, including orchestration, workload scheduling, containerization, storage, and data movement. Ensure the ecosystem can be deployed and operated in classified, air-gapped, disconnected, and other constrained enterprise environments while preserving security, configuration control, and reproducibility. Ensure AI-assisted and agentic development workflows preserve appropriate provenance, traceability, human oversight, verification, security, and reproducibility, particularly when contributing to deployed autonomous capabilities. Guide architecture for workflows spanning data ingestion and curation, synthetic data generation, model training and tuning, evaluation, optimization, validation, and deployment. Review and approve detailed software and data designs, resolve cross-team architectural issues, and maintain architectural integrity through implementation and integration. Partner with software, AI/ML, data, systems, product, and technical leadership teams to reduce the time from mission need to validated, deployable autonomy. Required qualifications: 10+ years of experience in software or software-intensive systems development, design, and/or architecture. Demonstrated experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems. Experience developing AI/ML solutions using synthetic and real-world data. Experience in data modeling and data architecture, including metadata, lineage, provenance, versioning, and lifecycle management. Understanding of how data, training configurations, model artifacts, evaluations, software, and deployments must be connected to provide end-to-end traceability, reproducibility, and auditability. Experience applying Generative AI, AI assistants, or agents to software, AI/ML, or engineering development workflows. Practical understanding of technologies such as Kubernetes, Slurm or comparable workload schedulers, containerization, infrastructure as code, and object/data storage platforms such as S3-compatible systems. Strong technical leadership and communication skills, with the ability to guide detailed design and maintain alignment across multiple engineering teams. Preferred qualifications: Experience designing AI-native or agentic workflows, including tool use, orchestration, retrieval, structured outputs, evaluation, and human-in-the-loop controls. Experience with MLOps, distributed training, simulation, synthetic data generation, experiment tracking, or model registries. Direct experience developing, training, tuning, evaluating, applying, or deploying VLMs, VLAs, world models, foundation models, or related modern AI models. Experience designing, deploying, or operating software and AI/ML platforms in classified, air-gapped, disconnected, or restricted-network environments. Experience with hybrid-cloud, multi-cloud, on-premises, or edge deployment architectures. Experience architecting autonomy, robotics, aerospace, unmanned systems, or other Physical AI applications. Experience applying MBSE methods and tools, including SysML and Cameo/MagicDraw. Experience delivering defense, aerospace, safety-relevant, or other high-assurance systems requiring rigorous configuration management, verification, and traceability. Impact; You will establish the architectural foundation that enables Hivemind users to transform mission needs, data, AI models, and software into deployable autonomous capabilities-faster, repeatedly, and with confidence in how each capability was created, evaluated, and validated. San Diego, CA range:$170,000 - $260,000 San Mateo, CA range: $210,000 - Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar
11/03/2026
Full time
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar
National Radio Astronomy Observatory
Green Bank, West Virginia
National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online - UPDATED Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting an experienced, full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead manages a team of software engineers, including overseeing resource allocations, team priorities, performance evaluations, recruiting, team building, professional development, and staff succession planning. The team you will manage provides software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead is also responsible for guiding short- and long-term planning, coordinating development activities, and establishing engineering best practices that improve interoperability, reliability, maintainability, and operational effectiveness. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: You are an experienced personnel manager who has formed and supervised high-performing software teams. You derive satisfaction from supporting the professional development and continuous improvement of your staff. You have worked in an Agile environment and understand how a team interfaces with Product Owners and Scrum Masters to deliver customer value. This is a management position, and you will not personally be expected to write any software. Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people, including managing staff performance, resource allocations, recruiting, professional development, and team building. Additionally, you have at least seven years of experience in software development. You have worked with stakeholders to develop plans and priorities to deliver high quality and high value products. You have worked in an Agile environment and are familiar with Scrum and team workflow management practices. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI4b0091efa5-
11/02/2026
Full time
National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online - UPDATED Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting an experienced, full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead manages a team of software engineers, including overseeing resource allocations, team priorities, performance evaluations, recruiting, team building, professional development, and staff succession planning. The team you will manage provides software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead is also responsible for guiding short- and long-term planning, coordinating development activities, and establishing engineering best practices that improve interoperability, reliability, maintainability, and operational effectiveness. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: You are an experienced personnel manager who has formed and supervised high-performing software teams. You derive satisfaction from supporting the professional development and continuous improvement of your staff. You have worked in an Agile environment and understand how a team interfaces with Product Owners and Scrum Masters to deliver customer value. This is a management position, and you will not personally be expected to write any software. Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people, including managing staff performance, resource allocations, recruiting, professional development, and team building. Additionally, you have at least seven years of experience in software development. You have worked with stakeholders to develop plans and priorities to deliver high quality and high value products. You have worked in an Agile environment and are familiar with Scrum and team workflow management practices. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI4b0091efa5-
National Radio Astronomy Observatory
Charlottesville, Virginia
National Radio Astronomy Observatory Title: Systems Engineer II-III Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 231 Job Family: Systems Engineer Pay Type: Salary Required Education: PPM Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the Very Large Array (VLA) in New Mexico, the Green Bank Telescope (GBT) in West Virginia, the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile, and the Very Long Baseline Array (VLBA). These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The Next Generation Very Large Array (ngVLA) is a transformative astronomical observatory designed to deliver science-ready data products to a broad community of users. The Computing and Software System (CSS) is the backbone of this vision, encompassing all the software and hardware required to control the telescope, manage the flow of data, execute processing pipelines, and provide user-facing services. The CSS is decomposed into several major systems, each with a distinct role in the data lifecycle, from observation planning to final data analysis. The ngVLA project is seeking a software-oriented systems engineer to bring systems engineering discipline to the design and development of the CSS. This person may be a software engineer or architect who has applied systems engineering practices on large projects, or a systems engineer with a strong software background. Working with system architects, software developers and subject matter experts, they will capture and manage the evolving software requirements, architecture, interfaces and designs, and make sure software deliverables trace to project requirements and meet project quality standards. The role applies the project-level systems engineering management plan and software development plan in ways that fit modern software development practices. This position will be located at the NRAO facility in Charlottesville (VA). What You Will be Doing Lead systems engineering for the CSS, adapting systems engineering practices to fit Agile software development. Maintain requirements traceability between CSS software and the ngVLA project-level requirements, and keep CSS processes aligned with the project. Develop and maintain CSS software requirements and interface definitions (such as APIs, data models and interface control documents). Work with projects and hardware teams to develop verification and validation plans focusing on external interfaces. Support verification approaches that use software practices such as automated testing, continuous integration and incremental delivery. Use model-based systems engineering (MBSE) and software modeling (such as SysML or UML) to document workflows, system models and interface specifications. Prepare for and support CSS design reviews, including the systems engineering documentation they require. Take part in configuration, change and document management, connecting project-level processes with software tools such as version control and issue tracking. Work Environment This position will be located at the NRAO facility in Charlottesville (VA). The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Who You Are: You have a bachelor's degree in computer science, software engineering, systems engineering, physical science, electrical engineering, or a related field, or equivalent work experience. At least five years of experience in systems engineering on integrated project teams, preferably in scientific R&D environments. Experience working closely with Agile software teams (such as Scrum or Kanban), and a solid understanding of how large software systems are designed, built, tested and deployed. Experience applying core systems engineering practices to software systems, such as requirements capture and traceability, interface definition, and verification and validation. Experience working across a project lifecycle, from design through integration, testing and transition to operations. Exposure to scientific, telescope or control software, distributed systems, data processing pipelines or signal processing is a plus. Familiarity with MBSE or software modeling methods and tools is a plus. Excellent verbal and written communication, including working with geographically distributed teams. Proactive and independent work ethic. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. For open rank positions, the starting salary for each level is between: Position level 2 $60,000 and $92,000 Position level 3 $79,000 and $120,000 Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 37 Yearly Salary PI6ceb476f44a6-0106
11/02/2026
Full time
National Radio Astronomy Observatory Title: Systems Engineer II-III Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 231 Job Family: Systems Engineer Pay Type: Salary Required Education: PPM Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the Very Large Array (VLA) in New Mexico, the Green Bank Telescope (GBT) in West Virginia, the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile, and the Very Long Baseline Array (VLBA). These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. The Next Generation Very Large Array (ngVLA) is a transformative astronomical observatory designed to deliver science-ready data products to a broad community of users. The Computing and Software System (CSS) is the backbone of this vision, encompassing all the software and hardware required to control the telescope, manage the flow of data, execute processing pipelines, and provide user-facing services. The CSS is decomposed into several major systems, each with a distinct role in the data lifecycle, from observation planning to final data analysis. The ngVLA project is seeking a software-oriented systems engineer to bring systems engineering discipline to the design and development of the CSS. This person may be a software engineer or architect who has applied systems engineering practices on large projects, or a systems engineer with a strong software background. Working with system architects, software developers and subject matter experts, they will capture and manage the evolving software requirements, architecture, interfaces and designs, and make sure software deliverables trace to project requirements and meet project quality standards. The role applies the project-level systems engineering management plan and software development plan in ways that fit modern software development practices. This position will be located at the NRAO facility in Charlottesville (VA). What You Will be Doing Lead systems engineering for the CSS, adapting systems engineering practices to fit Agile software development. Maintain requirements traceability between CSS software and the ngVLA project-level requirements, and keep CSS processes aligned with the project. Develop and maintain CSS software requirements and interface definitions (such as APIs, data models and interface control documents). Work with projects and hardware teams to develop verification and validation plans focusing on external interfaces. Support verification approaches that use software practices such as automated testing, continuous integration and incremental delivery. Use model-based systems engineering (MBSE) and software modeling (such as SysML or UML) to document workflows, system models and interface specifications. Prepare for and support CSS design reviews, including the systems engineering documentation they require. Take part in configuration, change and document management, connecting project-level processes with software tools such as version control and issue tracking. Work Environment This position will be located at the NRAO facility in Charlottesville (VA). The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Who You Are: You have a bachelor's degree in computer science, software engineering, systems engineering, physical science, electrical engineering, or a related field, or equivalent work experience. At least five years of experience in systems engineering on integrated project teams, preferably in scientific R&D environments. Experience working closely with Agile software teams (such as Scrum or Kanban), and a solid understanding of how large software systems are designed, built, tested and deployed. Experience applying core systems engineering practices to software systems, such as requirements capture and traceability, interface definition, and verification and validation. Experience working across a project lifecycle, from design through integration, testing and transition to operations. Exposure to scientific, telescope or control software, distributed systems, data processing pipelines or signal processing is a plus. Familiarity with MBSE or software modeling methods and tools is a plus. Excellent verbal and written communication, including working with geographically distributed teams. Proactive and independent work ethic. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Associated Universities, Inc. (AUI) offers a comprehensive total rewards package for this position, subject to eligibility requirements. We are committed to serving our employees and their families with an extensive and competitive compensation and benefits package that supports our employees' overall well-being and career growth. Compensation AUI strives to attract and retain dedicated, highly qualified, competent, and motivated employees by offering competitive compensation and recognition for performance. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. For open rank positions, the starting salary for each level is between: Position level 2 $60,000 and $92,000 Position level 3 $79,000 and $120,000 Benefits: AUI's benefits package addresses the needs of employees and their families with most benefits beginning on the first day of employment. AUI provides excellent paid time off (13 holidays, annual accrual of up to 24 vacation days and 15 sick days, additional time off for doctor/dentist visits, and 8 weeks of paid parental leave). Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution; we also offer an optional supplemental, tax-deferred plan for employee retirement contributions. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 37 Yearly Salary PI6ceb476f44a6-0106
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Software Engineer to design, build, and deploy advanced software systems that support national security, space, and health missions. You will architect scalable solutions, develop high-quality code, and integrate complex algorithms and data services. Collaborating with multidisciplinary scientists and engineers, you'll translate mission needs into technical designs, conduct code reviews, and mentor junior developers. APL offers a mission-driven, research-focused environment with strong support for innovation, learning, and professional growth. Responsibilities Design and architect scalable, mission-critical software systems for national security, space, and health applications. Develop, test, and maintain high-quality, secure code using modern software engineering practices. Collaborate with scientists, engineers, and stakeholders to translate mission needs into technical requirements and designs. Implement and manage CI/CD pipelines, automated testing, and code review processes. Mentor junior engineers and contribute to technical leadership, best practices, and design reviews. Required Skills Software architecture and design Object-oriented programming (e.g., Java, C++, C#) Python or similar high-level language Cloud platforms (AWS, Azure, or GCP) Linux/Unix development environment CI/CD pipelines and Dev Ops tools Version control with Git Relational/No SQL databases Unit and integration testing Secure coding practices
11/01/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Software Engineer to design, build, and deploy advanced software systems that support national security, space, and health missions. You will architect scalable solutions, develop high-quality code, and integrate complex algorithms and data services. Collaborating with multidisciplinary scientists and engineers, you'll translate mission needs into technical designs, conduct code reviews, and mentor junior developers. APL offers a mission-driven, research-focused environment with strong support for innovation, learning, and professional growth. Responsibilities Design and architect scalable, mission-critical software systems for national security, space, and health applications. Develop, test, and maintain high-quality, secure code using modern software engineering practices. Collaborate with scientists, engineers, and stakeholders to translate mission needs into technical requirements and designs. Implement and manage CI/CD pipelines, automated testing, and code review processes. Mentor junior engineers and contribute to technical leadership, best practices, and design reviews. Required Skills Software architecture and design Object-oriented programming (e.g., Java, C++, C#) Python or similar high-level language Cloud platforms (AWS, Azure, or GCP) Linux/Unix development environment CI/CD pipelines and Dev Ops tools Version control with Git Relational/No SQL databases Unit and integration testing Secure coding practices
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
10/28/2026
Full time
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
