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As a Hivemind Build and CI engineer, you will design and implement engineering centric automation across the organization. You will work closely with the product development teams implementing policies and guidelines into the continuous integration and delivery systems. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.

What you'll do:

• Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.
• Manage and own the monitoring tool stack, focusing on build infrastructure metrics
• Manage and own internal build containers used by all of the Hivemind organization
• Support AI engineers with build issues, and educate on best practices
• Work closely with the Developer Experience team to improve engineering efficiency

Required qualifications:

• BS in computer science or related engineering field with 3+ years of professional experience.
• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.)
• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).
• Strong understanding of C++ (or other compiled language), Linux and CMake
• Strong knowledge of APIs, web services, and identity access management
• Strong knowledge of containers (e.g. Docker, Podman, etc.).
• Strong knowledge of scripting languages (Bash, Python, PowerShell).
• Strong knowledge of Git.
• Strong system administration in Linux (w/ Windows a bonus).
• Strong desire to learn and grow on the job.

Preferred qualifications:

• Strong Experience with Conan Package Manager
• Experience with Rust in a production environment.
• Experience with Hardware in the Loop build/deploy/test systems
• Experience owning build infrastructure
• Experience with NVIDIA Jetson products

$120,000 - $180,000 a year

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.

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.

Boeing Defense, Space & Security (BDS) is seeking a Senior Software Systems Engineer to join our team in one of the listed locations.

We are seeking Systems Engineers with Demonstrated ability to apply systems engineering principles in modern software environments, with strong understanding of DevSecOps pipelines, CI/CD practices, and cloud-native architectures. Candidates should be comfortable working across disciplines to integrate hardware, software, and mission systems in secure environments, collaborating closely with developers and test engineers to validate end-to-end functionality. Experience with containerized applications, automated build and test processes, and infrastructure as code is essential to ensuring system performance, security, and mission assurance. The integration and test team will lead system-level integration, verification, and acceptance test activities to ensure software systems meet performance, reliability, and interoperability requirements in an operational environment.

Position Responsibilities

• Review, develop, document, and maintain system requirements and traceability across the lifecycle.
• Define test strategies, plans, procedures, and acceptance criteria for component, integration, and system-level testing.
• Design and execute verification & validation activities (functional, interface, performance, reliability, regression).
• Analyze test results, perform root cause analyses, and recommend corrective actions.
• Collaborate across engineering disciplines, working closely with software developers, system architects, and test engineers to validate end-to-end functionality and mission effectiveness.
• Lead integration of hardware, software, and mission systems in secure DoD environments, ensuring interoperability, performance, and mission assurance.
• Apply modern DevSecOps practices—including CI/CD pipelines, automated testing, containerized deployments, and infrastructure as code—to streamline integration and test activities.
• Stand up, configure, and maintain secure test environments leveraging cloud-native and virtualized resources (e.g., AWS GovCloud, Azure Government, or on-premise equivalents).
• Use model-based systems engineering (MBSE) and requirements management tools to support design, analysis, and traceability.
• Contribute to risk, issue, and opportunity management; assess and report technical readiness and critical path impacts.
• Drive continuous improvement of integration and test processes, incorporating automation, metrics, and lessons learned to increase efficiency and reliability.
• Document integration results and test findings for design reviews, readiness assessments, and formal customer deliverables.
• Mentor junior engineers; at higher levels, provide technical leadership across projects and broader mentoring responsibilities.

Travel may be required up to 20% of the time; Domestically depending on business needs.

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)

Basic Qualifications (Required Skills/Experience)

• 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
• 14+ years related work experience or an equivalent combination of technical education and experience

• Strong systems thinking, analytical and problem-solving skills
• Practical experience with requirements decomposition, requirements tracing and configuration management.
• Experience writing test plans and procedures and executing system-level integration and verification.
• Familiar with standard engineering tools such as requirements management (DOORS or similar), MBSE (MSOSA/Cameo or similar), test management, and common collaboration tools (Jira, Confluence, Git).
• Proficient with one or more scripting or programming languages (e.g., Python, Bash, Matlab) for test automation and data analysis.

Preferred Qualifications (Desired Skills/Experience)

• Advanced degree (MS/PhD) in Systems Engineering or related field.
• Experience with mission systems, avionics, command & control architectures, embedded systems, sensor systems, or related defense/space programs.
• Prior work on software-in-the-loop, hardware-in-the-loop, flight test, or distributed system integration.
• Knowledge of certification and compliance frameworks relevant to the program (FAA, DoD, NASA, etc.).
• Experience with cloud, container, and CI/CD test infrastructure (Docker/Kubernetes, AWS).
• Experience with performance and reliability testing, and statistical test methods (DOE).

Conflict of Interest

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Drug Free Workplace

Boeing is a Drug Free Workplace 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.

Employee Referral

Referral to this job is eligible for bonus to qualifying candidates.

Total Rewards

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.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $164,900 – $223,100

Applications for this position will be accepted until Mar. 25, 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

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Are you an experienced Full Stack Developer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Full Stack Developer to work at their company in Minneapolis, MN.

Position Summary: The team builds and maintains scalable microservices and batch-processing platforms that ingest, enrich, store, and serve user-generated content for clients' eCommerce and enterprise systems. Our culture is highly collaborative, prioritizing agility, code simplicity, operational excellence, and consistently high-quality software delivery.

Primary Responsibilities/Accountabilities:

• Delivers complex, well-tested, and reliable product features with minimal oversight.
• Excels at breaking down large problems and demonstrates depth across software development lifecycle phases, including concept, design, testing, and deployment.
• Develops solutions and optimizations that improve performance across the full application stack.
• Comfortable independently triaging complex issues across multiple environments in a fast-paced, dynamic setting.
• Actively engages in pair programming, daily standups, sprint retrospectives, backlog grooming, and user story mapping.

Qualifications:

• 5+ years of experience building highly scalable, high-performing applications using Java, Spring Boot, and Gradle with strong object-oriented design skills.
• Experience with Test Driven Development (TDD), including writing unit and integration tests using JUnit, Mockito, and/or the Spock Framework.
• Experience with streaming and messaging platforms such as Kafka, RabbitMQ, or Google Pub/Sub.
• Strong experience with CI/CD pipelines using tools such as Jenkins or GitHub Actions.
• Experience designing distributed application architectures that leverage NoSQL data stores such as Apache Cassandra for high throughput at scale.
• Experience with search and indexing systems such as Apache Solr for large-scale data access and query performance.

Preferred:

• Strong communicator and collaborator who works effectively across cross-functional teams, proactively brings ideas to the table, and takes initiative rather than waiting to be directed.
• Experience with front-end technologies, including JavaScript, ReactJS and NodeJS.
• Experience with container platforms such as Docker.
• Experience designing, testing, and deploying scalable solutions on Google Cloud Platform utilizing services such as BigQuery, Cloud Functions, Cloud Run, and Dataflow.
• Experience with off-heap caching solutions such as Memcached.
• Experience leveraging AI-assisted development tools such as GitHub Copilot to accelerate development workflows.
• Ability to triage and manage complex, production issues

Site Reliability Engineer

Description and Requirements

About Our Team

We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the reliability engineering organization that powers cross‑device Personal AI.

We are hiring Site Reliability Engineers (SREs) to strengthen the reliability, observability, and operational excellence of Qira’s AI systems across device, edge, and cloud. Depending on your strengths, you may be aligned to areas such as Observability, Operations, or Service Reliability.

Works with the speed and creativity of a startup inside— you’ll help build foundational systems with clarity, ownership, and modern engineering practices.

Location: On-site in Chicago, IL. Hybrid (3 days on-site, 2 days remote)

What You Might Work On

As an SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:

Reliability & Systems Engineering

• Support the reliability, availability, and performance of distributed systems across cloud, edge, and device environments.
• Help define, measure, and monitor SLIs and SLOs for core services.
• Identify reliability risks and collaborate with senior engineers on mitigation plans.

Operational Excellence

• Participate in on‑call rotations and assist with incident response and post‑incident reviews.
• Contribute improvements to runbooks, automation, and tooling that reduce alert noise and operational toil.
• Help enhance detection, alerting, and response workflows.

Observability & Insight

• Implement and improve telemetry using OpenTelemetry, Grafana, and related tools.
• Build dashboards and tools that improve visibility into system health and AI service behavior.
• Ensure observability data is complete, accurate, and actionable.

Deployments & Change Safety

• Support safe, reliable deployment workflows including canaries, staged rollouts, and automated rollbacks.
• Assist in improving CI/CD systems and deployment tooling.

Collaboration & Best Practices

• Work closely with senior SREs, DevOps engineers, AI/ML teams, and platform engineers.
• Contribute to reliability reviews, operational readiness checks, and cross‑team projects.
• Advocate for modern SRE and DevOps practices within the organization.

Basic Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or production systems operations.
• Bachelor’s Degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• Foundational experience supporting distributed systems in production.
• Ability to write scripts or tools in Python, Go, Bash, or similar languages.
• Solid understanding of Linux systems, networking basics, and system performance fundamentals.
• Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
• Familiarity with monitoring/observability (metrics, logs, tracing).
• Experience with containers and Kubernetes.

Preferred Qualifications

• Experience with OpenTelemetry instrumentation and telemetry pipelines.
• Hands‑on experience with Grafana, Prometheus, Loki, or Tempo.
• Exposure to AI/ML systems, inference services, or data‑intensive workloads.
• Experience contributing to CI/CD processes and deployment automation.
• Familiarity with hybrid architectures spanning device, edge, and cloud.
• Passion for automation, reliability, and operational excellence.

What Success Looks Like

• Systems become easier to operate, observe, and trust.
• Alerts are more accurate and actionable.
• On‑call load decreases through thoughtful automation and improvements.
• Deployment workflows become more reliable and repeatable.
• You grow toward deeper ownership and technical leadership within the reliability engineering organization.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

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.

Boeing Defense, Space & Security (BDS) is seeking a Senior Software Systems Engineer to join our team in one of the listed locations.

We are seeking Systems Engineers with Demonstrated ability to apply systems engineering principles in modern software environments, with strong understanding of DevSecOps pipelines, CI/CD practices, and cloud-native architectures. Candidates should be comfortable working across disciplines to integrate hardware, software, and mission systems in secure environments, collaborating closely with developers and test engineers to validate end-to-end functionality. Experience with containerized applications, automated build and test processes, and infrastructure as code is essential to ensuring system performance, security, and mission assurance. The integration and test team will lead system-level integration, verification, and acceptance test activities to ensure software systems meet performance, reliability, and interoperability requirements in an operational environment.

Position Responsibilities

• Review, develop, document, and maintain system requirements and traceability across the lifecycle.
• Define test strategies, plans, procedures, and acceptance criteria for component, integration, and system-level testing.
• Design and execute verification & validation activities (functional, interface, performance, reliability, regression).
• Analyze test results, perform root cause analyses, and recommend corrective actions.
• Collaborate across engineering disciplines, working closely with software developers, system architects, and test engineers to validate end-to-end functionality and mission effectiveness.
• Lead integration of hardware, software, and mission systems in secure DoD environments, ensuring interoperability, performance, and mission assurance.
• Apply modern DevSecOps practices—including CI/CD pipelines, automated testing, containerized deployments, and infrastructure as code—to streamline integration and test activities.
• Stand up, configure, and maintain secure test environments leveraging cloud-native and virtualized resources (e.g., AWS GovCloud, Azure Government, or on-premise equivalents).
• Use model-based systems engineering (MBSE) and requirements management tools to support design, analysis, and traceability.
• Contribute to risk, issue, and opportunity management; assess and report technical readiness and critical path impacts.
• Drive continuous improvement of integration and test processes, incorporating automation, metrics, and lessons learned to increase efficiency and reliability.
• Document integration results and test findings for design reviews, readiness assessments, and formal customer deliverables.
• Mentor junior engineers; at higher levels, provide technical leadership across projects and broader mentoring responsibilities.

Travel may be required up to 20% of the time; Domestically depending on business needs.

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)

Basic Qualifications (Required Skills/Experience)

• 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
• 14+ years related work experience or an equivalent combination of technical education and experience

• Strong systems thinking, analytical and problem-solving skills
• Practical experience with requirements decomposition, requirements tracing and configuration management.
• Experience writing test plans and procedures and executing system-level integration and verification.
• Familiar with standard engineering tools such as requirements management (DOORS or similar), MBSE (MSOSA/Cameo or similar), test management, and common collaboration tools (Jira, Confluence, Git).
• Proficient with one or more scripting or programming languages (e.g., Python, Bash, Matlab) for test automation and data analysis.

Preferred Qualifications (Desired Skills/Experience)

• Advanced degree (MS/PhD) in Systems Engineering or related field.
• Experience with mission systems, avionics, command & control architectures, embedded systems, sensor systems, or related defense/space programs.
• Prior work on software-in-the-loop, hardware-in-the-loop, flight test, or distributed system integration.
• Knowledge of certification and compliance frameworks relevant to the program (FAA, DoD, NASA, etc.).
• Experience with cloud, container, and CI/CD test infrastructure (Docker/Kubernetes, AWS).
• Experience with performance and reliability testing, and statistical test methods (DOE).

Conflict of Interest

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace

Boeing is a Drug Free Workplace 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.

Employee Referral

Referral to this job is eligible for bonus to qualifying candidates.

Total Rewards

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.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

• Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
• Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $164,900 – $223,100

Applications for this position will be accepted until Mar. 25, 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

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Role: Cybersecurity Engineer III

Location: MD – Silver Spring, DC, or ATL – Techwood - Onsite

Job Description

Job Responsibilities / Typical Day in the Role

• Implement design reviews to evaluate security controls

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Identify and communicate opportunities to enhance the security posture of WBD

• Build and / or manage enterprise security platforms effectively (SAAS, on premise or in Cloud)

• Communicate effectively across all levels of management to articulate WBD security goals and vision.

• Have a team player mentality; strive to contribute to team cohesion however can work independently if the need arises

• Plan, design, engineer and implement security-related technologies

• Understanding technical security issues, their implications within WBD business units and able to effectively communicate them to management and other business leaders.

• Configure, troubleshoot, and maintain security infrastructure – including software and hardware in cloud environments, as well as on-premises.

• Conduct security audits and assessments to regularly determine the effectiveness of security platforms and identify areas of improvement.

• Host and operating systems hardening, auditing, monitoring and logging with appropriate security controls and best practices while meeting security best practices and business goals

• Research and explore emerging security technologies and determine their appropriate use within the company.

• Prepare, document, and create standard operating procedures and protocols.

• Crosstrain and mentor other team members as needed

Must Have Skills / Requirements

1) Implementing advanced cyber security technology in a complex environment

a. 5+ years of experience; Hands-on experience in security engineering, hands-on experience in building, designing, and maintaining enterprise security tools.

2) Scripting experience (using Python, Go, or other equivalent languages)

a. 5+ years of experience.

3) Hands-on Experience with automation technologies

a. 3+ Years of experience; Terraform, Ansible, CloudFormation, etc.

4) Linux Experience.

a. 5+ years of experience; Ability to construct and maintain complex network infrastructures.

Technology requirements:

• Engineer and administer security platforms including SIEM/SOAR systems, endpoint detection and response, vulnerability management, anomaly detection, and cloud analysis.

• Experience in managing the Brinqa vulnerability management platform and experience with Groovy programming language

• Must have 5+ years of scripting experience (using Python or other equivalent languages)

• Hands-on Experience in public cloud infrastructures like AWS (Amazon Web Services)

Nice to Have Skills / Preferred Requirements

1) Security and Cloud certifications are a plus. (CISSP, Splunk Admin, AWS Solution architect).

2) Media/entertainment or distributed global network experience.

Soft Skills

1) Hands-on technical experience with networking and computing system architectures, specifically, the security aspects thereof.

2) Thorough understanding of information security principles, techniques, principles, policy frameworks, and best practices

3) Hands-on technical experience with compliance and regulatory frameworks and how they affect architecture designs and review

Education / Certifications

1) None required, but certifications preferred.

Job Title: Senior Software Engineer

Reports To: Manager of Application Development

About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.

Responsibilities:

• Design, implement, test, and maintain scalable, secure, and reliable applications and services.
• Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
• Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
• Participate in architectural discussions and support incremental evolution of systems with team leads.
• Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
• Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
• Identify and mitigate technical risks in assigned systems and projects.
• Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
• Collaborate effectively with onshore and offshore teams to ensure successful project execution.
• Keep abreast of industry trends and new technologies to encourage innovation.
• Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
• Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
• Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
• Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
• Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.

Required Skills:

• Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
• Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
• Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
• Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
• Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
• Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
• API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
• DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
• Containerization: Experience with Docker and Kubernetes for application development and deployment.
• Security: Understanding of secure coding and application security best practices.

Preferred Skills:

• Ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
• Strong problem-solving abilities and the capacity to make effective decisions under constraints.
• Leadership through mentoring and influencing technical direction.
• Adaptability to new technologies and changing environments.
• Critical thinking in evaluating options and making informed decisions.
• Effective time management across multiple projects.
• Empathy for team and stakeholder perspectives to foster collaboration.