Senior Software Engineer role focused on building and scaling full-stack client and team member-facing applications. Owns features end-to-end from problem definition through design, implementation, deployment, and iteration using Next.js/React frontend with NestJS GraphQL backend on AWS/EKS.… Expected to leverage AI tools and agentic workflows as a core part of the development process, collaborating with engineering, product, design, and business teams to translate ambiguous requirements into scalable, maintainable solutions.
Software Engineer supporting Navy base projects in San Diego, developing cross-platform applications for Linux and Android using C++, C, Python, Qt, and SQLite. Responsibilities include UI/UX development for embedded and mobile applications, API design and integration, secure software development practices, CI/CD implementation, and participation in Agile Scrum teams.… Must have proven experience in Linux/Android development, proficiency in C++/C/Python, Qt and Android platforms, test automation, containerization (Docker/Kubernetes), and formal API methodologies.
Junior DevSecOps engineer supporting U.S. Navy modernization efforts, responsible for designing and maintaining CI/CD pipelines, automating infrastructure, and supporting containerized platforms in secure environments.… The role involves working with software and cyber engineers to solve delivery problems and adapting to different program needs across diverse technical stacks. Requires minimum 2 years' experience (or equivalent with advanced degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, and CompTI Security+ certification. Must be hands-on with containerization, container orchestration, CI/CD automation, infrastructure-as-code, Linux systems, and scripting.
Senior DevSecOps Engineer supporting US Navy modernization efforts, responsible for designing and maintaining CI/CD pipelines, automating infrastructure, and supporting containerized platforms in secure, regulated environments. You will work directly with software and cyber engineers to solve delivery problems, enabling microservices to be rapidly built, tested, fielded, and integrated to container orchestration platforms.… Requires 8+ years of experience (or equivalent with advanced degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, and CompTI Security+ certification.
ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.… The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.
Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.… The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.
Staff Engineer responsible for designing and building scalable test automation frameworks and CI/CD infrastructure for machine-learning systems at scale. The role requires expertise validating ML quality across the full lifecycle (data, training, evaluation, packaging, deployment, monitoring), GPU-accelerated workloads in Kubernetes, and integrated hardware-software systems.… You will develop automated evaluation suites, performance baselines, release thresholds, and observability solutions while mentoring teams on ML testing best practices and dependency/reproducibility standards.
Staff Engineer responsible for designing and implementing scalable test automation frameworks and infrastructure for machine learning systems across multiple engineering teams. The role requires expertise in validating ML pipelines across data, training, evaluation, deployment, and monitoring; testing GPU-accelerated workloads in Kubernetes; qualifying integrated hardware and software systems; and developing comprehensive integration and regression strategies.… Deep experience with Python automation, distributed systems testing, performance profiling, and observability is essential, along with strong system-design skills for complex, multi-tenant environments.
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.… The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.
Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++; implement modern architectural patterns (Microservices, Event-Driven, Serverless); and apply DevSecOps principles with automated security testing (SAST, DAST, SCA, container scanners) as CI/CD quality gates.… Requires 5+ years of Agile software development, 2+ years of DevSecOps in regulated government/DoD environments, and 2+ years working with resilient architectures in DDIL and afloat/ashore PaaS environments including Cross-Domain Solutions integration.
Design, develop, and deliver software capabilities across the full delivery pipeline—from design through automated testing to production deployment—for secure, mission-critical DoD systems. Code in Python, Java, C#, Go, or C++, implement modern architectural patterns (Microservices, Event-Driven, Serverless), and manage Git-based workflows.… Participate in end-to-end delivery using Agile frameworks (Scrum, Kanban, SAFe) to Kubernetes, cloud, or virtualized environments. Apply DevSecOps principles, configuring automated security testing tools (SAST, DAST, SCA, container scanners) as CI/CD quality gates in regulated government/DoD environments, and maintain resilient architectures for DDIL and PaaS platforms with Cross-Domain Solutions integration.
Senior Software Engineer on Raytheon's Radar Digital Product Line (RDPL) team, designing and developing real-time C++ radar software in a DevSecOps environment. Responsibilities include collaborating with Scrum teams on tactical radar systems, executing software integration testing using Jenkins and Linux tools, developing automation scripts in Python/Bash/Perl, and contributing to architectural decisions.… Requires minimum 5 years of software engineering experience, proficiency in C++ and Object-Oriented Design, and hands-on Linux development with DevSecOps tooling.
Software Engineer II on Raytheon's Radar Digital Product Line (RDPL) team will design, develop, and troubleshoot tactical radar software in a DevSecOps environment using C++ for real-time applications. Responsibilities include software integration testing via Jenkins and Linux tools, automation scripting in Python/Bash/Perl, and contributing to architectural decisions.… Requires 2+ years of relevant experience, proficiency in C++, Object-Oriented Design, Linux development, and DevSecOps tools; Secret clearance and U.S. citizenship required.
Software Engineer II on Raytheon's Radar Digital Product Line team will design, develop, and maintain robust C++ software for real-time tactical radar applications in a DevSecOps environment. Responsibilities include software integration testing with Jenkins and Linux tools, root-cause analysis, and scripting in Python, Bash, or Perl to automate testing and system integration.… The role requires proficiency in C++, Object-Oriented Design, Linux development environments, and DevSecOps tools (Jenkins, Jira, Git), with an active Secret-level security clearance.
Senior Software Engineer serving as an OpenShift Subject Matter Expert on the Agile Core Services team. Responsibilities include training the development team on OpenShift deployment and container-native application development, managing the container platform ecosystem (installation, upgrade, patching, monitoring), designing and implementing infrastructure services for data mediation and orchestration, and supporting DevSecOps and operational tasks.… Requires 6+ years of software engineering experience, 4+ years hands-on with containerized applications and container orchestration platforms, proficiency with Red Hat Enterprise Linux, Ansible, and Python, and an existing US security clearance.
This Systems Engineer role supports Naval tactical applications and the Navy's combat systems through IT infrastructure configuration management, hardware/software integration, and technical support. The engineer will work with cross-functional teams on requirements, design documentation, test events, and platform integration while adhering to government security and reliability standards.… Required experience includes IT system production planning, network architecture, platform integration, STIG hardening, and core networking concepts (TCP/IP, routing, firewalls). Preferred skills include DoD/Naval systems experience, container technologies (Docker, Kubernetes), Linux administration, scripting (Python, Bash, PowerShell), and automation tools (Jenkins, Ansible).
Sr. Engineer responsible for designing, building, and deploying production-grade AI platforms and solutions centered on LLMs, RAG, and agentic workflows.… The role spans full-stack development—from backend services and APIs to cloud-native infrastructure on Kubernetes—with emphasis on enterprise search, retrieval optimization, and AI application integration. Must have strong programming skills across Python, Java, C#/.NET, Rust, TypeScript/JavaScript, and proven experience architecting and operating scalable, production-ready AI systems.
Senior Control Plane Software Engineer responsible for designing and developing distributed services for Software Defined Networking (SDN), ground segment, and satellite operations. The role combines control plane architecture expertise with cloud-native development (microservices, Kubernetes, Docker) and embedded systems integration across AWS, GCP, and on-premises platforms.… Requires 10+ years of software development experience with deep knowledge of SDN, routing/switching protocols, APIs, and distributed systems, plus ability to collaborate across data plane, platform, and embedded teams to ensure reliability and scalability of network software.
As a Staff Cloud Engineer, you will design, build, and operate AWS infrastructure and shared development environments supporting Shield AI's software products. You will use Terraform and infrastructure-as-code tools to automate provisioning, manage containerized workloads on Kubernetes, implement cloud IAM and security controls, and improve observability and reliability across multi-product infrastructure.… This hands-on role requires experience with shared cloud infrastructure, container orchestration, regulated environments, and AWS cost optimization.
As a Staff DevSecOps Engineer, you will design, build, and automate security controls across Shield AI's AWS infrastructure, containerized workloads, and CI/CD systems. You'll implement hardened container images, integrate vulnerability and compliance scanning into software delivery pipelines, and manage secrets, identity, and access controls at scale.… Working with Cybersecurity, Infosec, and Build Engineering teams, you'll translate security requirements into repeatable, maintainable engineering controls that reduce risk without friction. At the Staff level, you'll define reusable security patterns and drive adoption of security engineering practices across multiple teams.
Senior Staff Lead Site Reliability Engineer to establish and mature SRE practices across Hivemind's cloud infrastructure and platform services. You will define reliability targets (SLIs/SLOs), build observability systems, lead incident response and root-cause analysis, mentor teams on reliability-first practices, and develop automation to reduce manual operational work.… The role requires 7+ years in SRE or infrastructure engineering, hands-on experience operating production services in AWS or equivalent cloud environments, expertise with containerized/distributed systems, infrastructure-as-code, and operational tooling development in Python or Go.
The Site Reliability Engineer owns the systems and practices that keep production services available, performant, and recoverable at scale, focusing on Kubernetes-based workloads, cloud infrastructure, observability, and incident response. The role requires designing and operating highly available infrastructure on AWS or GCP using Kubernetes, Terraform, and infrastructure-as-code; building observability across services using Prometheus, Grafana, OpenTelemetry, and centralized logging; and automating deployment, scaling, backup, and recovery workflows through CI/CD pipelines.… The engineer will define SLIs and SLOs, lead incident response and root-cause analysis, harden systems through access controls and disaster recovery testing, and partner with application teams to improve service design and operational readiness. The position requires 3–8 years of DevOps or platform engineering experience, hands-on Kubernetes and containerized services operation, strong Linux and networking fundamentals, proficiency with Terraform or equivalent infrastructure-as-code, observability implementation experience, and strong scripting or programming skills in Python, Go, or Bash.
The DevOps Engineer owns the design, deployment, and operation of production infrastructure at scale across AWS and Kubernetes, with responsibility for CI/CD pipelines, observability, and incident response. The role requires hands-on expertise in AWS services (EC2, EKS, VPC, IAM, S3, RDS), Kubernetes cluster operations, Terraform-based infrastructure-as-code, and monitoring tools like Prometheus and Grafana.… You will automate operational workflows with Python, Go, or Bash, lead incident investigations, and partner with software engineers and SREs to improve release velocity and system reliability. 3–8 years of DevOps, SRE, or platform engineering experience is expected.
Senior Software Engineer responsible for serving as an OpenShift Subject Matter Expert on the Agile Core Services team, managing the container platform ecosystem (installation, upgrade, patching, monitoring) and training the development team on OpenShift deployment and container-native application development. The role involves designing, developing, and integrating software for infrastructure services supporting data mediation, orchestration, and machine-to-machine messaging, with DevSecOps and operations responsibilities.… Requires 6+ years of software engineering experience, 4+ years with containerized applications and container orchestration platforms, and hands-on expertise in Red Hat Enterprise Linux, Ansible, and Python.
The AI SW Integration Engineer will develop backend tools and services that automate test generation, improve requirements traceability, and streamline engineering workflows across teams. The role requires strong expertise in generative AI and large language models (LLMs), with hands-on experience designing and deploying agentic AI systems end-to-end.… You will integrate tools and databases via REST APIs, parse structured documents, and build automation solutions using Python and CI/CD pipelines. The ideal candidate brings 3–5 years of production experience developing automation or integration tools, plus familiarity with RAG, MCP, and requirements management workflows.