Software Gigs

Staff Software Engineer role designing and implementing cloud-native platform components and services, with primary focus on Kubernetes workloads, distributed systems, and infrastructure automation. Requires 5+ years hands-on Kubernetes experience, proficiency in Go or systems languages, and demonstrated expertise building operators, controllers, and platform services. Will lead well-scoped projects from design through production, contribute to reliability and scalability, mentor junior engineers, and participate in on-call operations.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability. Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Tesla seeks an embedded software engineer to develop firmware for cell formation manufacturing systems. The role involves writing embedded C and Python code for real-time controls, battery management algorithms, power conversion, and functional safety across prototyping through high-volume production. You will collaborate with manufacturing and electrical engineering teams on hardware bring-up, system validation, and production integration. The position requires proficiency in C/C++, embedded protocols (CAN, UDS, etc.), and a strong foundation in electrical engineering concepts and software fundamentals.

This Embedded Software Engineer role at Leidos involves designing and developing high-performance embedded software for custom System-on-Chip (SoC) hardware in electronic warfare applications. You will write low-level C/C++ code for multi-core systems (DSP, ARM, RISC-V), perform hardware-software co-design and validation, and build software development kits for end users. The position requires 4+ years of embedded systems experience, deep understanding of hardware architectures, and proficiency in reading datasheets, test-driven development, and real-time operating systems.

Senior Embedded Software Engineer role focused on R&D and production software development for next-generation radar products. Responsibilities include building embedded Linux systems, supporting system integration on custom hardware, and maintaining deployed software for U.S. and international defense customers. Requires 4+ years of professional object-oriented software development with C/C++ and Python, extensive Linux experience, and familiarity with Agile/Scrum methodologies. Must be a U.S. Person with ability to access U.S.-only data systems.

Design and architect next-generation ML inference infrastructure for globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Lead the development of low-latency, high-throughput inference systems supporting computer vision and multimodal models (CNNs, segmentation, object detection) using Scala, Java, and Go. Build large-scale distributed systems with reactive frameworks, integrate enterprise feature stores, and extend CI/CD pipelines (GitHub Prow, Pulumi) with automation and policy enforcement. Design advanced observability frameworks, optimize ML algorithms for performance, mentor engineers, and ensure MLOps and compliance standards (GDPR, SOC2) across the platform.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs. Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

As a SW Test Development Engineer 2, you will design and build automation tools and frameworks to test Dexcom's continuous glucose monitoring devices and mobile apps (iOS/Android). You will develop in Python or Java to create testing APIs, integrate tools like Jira, Testrail, Slack, and GitHub, and manage end-to-end test suites in CI/CD pipelines. The role requires 2–3 years of software development experience with object-oriented languages, hands-on familiarity with cloud platforms (AWS/GCP), containerization (Docker), and embedded/mobile device automation.

Design and build software to automate RF hardware test systems for satellite components before flight, including test infrastructure, CI/CD automation, and production-scale testing orchestration. Write Python on Linux test racks to measure satellite modem, amplifier, and RF component performance against pass/fail thresholds, translating hardware engineer requirements into reliable automated test logic. Support manufacturing validation, on-orbit failure analysis, and enable factory operators to run environmental stress testing at scale. Own software quality, release processes, and work with SCPI-controlled test instruments, thermal chambers, and telemetry dashboards that drive ship/no-ship decisions.

As a Staff Software Engineer in Data Platform Engineering, you will design, build, and operate cloud-native platform components and services, taking features from design through production. You'll lead well-scoped technical projects, collaborate with senior engineers on architecture alignment, and ensure reliability and scalability through testing and instrumentation. You'll spend most of your time hands-on building operators, controllers, automation, and platform services that other teams depend on, while mentoring junior engineers. The role requires 8+ years of software development experience (or equivalent with advanced degrees), 5+ years of hands-on Kubernetes experience, and proficiency with at least one major hyperscaler (AWS, Azure, GCP).

Design, implement, and maintain secure DevSecOps automation frameworks across on-premise and cloud infrastructure, integrating security controls into CI/CD pipelines for application and configuration deployment. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, Python, and Bash across Windows, Linux, VMware, Azure, and hybrid environments. Automate provisioning, patching, vulnerability remediation, and compliance checks aligned with FFIEC, NCUA, CIS, and NIST standards while partnering with Cybersecurity, Infrastructure, and Application Development teams. Support container/platform engineering, cloud identity governance, and promote DevSecOps and GitOps practices across technology teams.

Own the complete release and deployment strategy for Elemynt's secure AI infrastructure platform, building systems that ensure every release is versioned, reproducible, observable, and safe to operate across enterprise and scientific computing environments. Design and implement deployment automation, CI/CD pipelines, artifact management, and operational visibility (logs, metrics, alerts) that work reliably in customer-managed and restricted environments. Debug incidents, identify root causes, and systematize fixes into reusable automation. Partner with product and engineering teams to embed deployment readiness into the platform from the start.

Design and own cloud infrastructure foundations, core platform services, and observability systems that enable reliable deployment across customer environments (on-premise, cloud, or hybrid). Build production-grade Kubernetes infrastructure, internal APIs, deployment pipelines, and monitoring/alerting layers using infrastructure-as-code. Instrument service-level objectives and health signals to ensure measurable reliability and reproducible, secure deployments across all environments.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams. The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Staff Software Engineer responsible for leading macro-level technical design, architectural implementation, and development of critical embedded software subsystems in C++ and Qt. The role owns end-to-end software lifecycle deliverables, conducts architecture and design reviews, ensures FDA/IVDR regulatory compliance, and mentors junior engineers. Requires 10+ years of professional experience with complex embedded systems, expert-level C/C++ proficiency, and mastery of object-oriented design and UML modeling.

Senior DevOps / Platform Engineer (Level III) responsible for designing and maintaining CI/CD pipelines, automating infrastructure for predictable environments, and supporting containerized platforms in secure, regulated defense settings. The role requires 5+ years of hands-on experience with Kubernetes, container technologies (Docker, Podman, Buildah), CI/CD tools (GitLab, Jenkins, AWS CodeBuild), infrastructure-as-code (Terraform, Ansible, CloudFormation), and Linux systems. You will work directly with software and cyber engineers to solve delivery problems, build microservices pipelines, and adapt to evolving program requirements across U.S. Navy modernization initiatives.

You will develop high-quality Android applications and shared mobile components using Kotlin and modern Android development practices like Jetpack and Compose. Working closely with UX designers, product managers, and cross-functional teams, you'll design and evolve reusable UI components and shared Android frameworks that drive consistency and accessibility across digital health applications. You'll advocate for quality through unit testing, automated testing, and code reviews while collaborating with iOS engineers and leveraging AI-assisted development tools. This role requires 3+ years of professional software development experience including Android development, with a Computer Science degree or equivalent practical experience.

The Principal Software Engineer leads architecture and technical strategy for a Class III active implantable medical device, overseeing embedded firmware, mobile, web, and cloud systems. The role requires translating clinical, regulatory (IEC 62304, FDA PMA), and business needs into compliant, scalable designs while establishing architecture frameworks, design principles, and coding standards for the engineering team. Responsibilities include leading architecture reviews, design control activities, hazard analysis, verification strategy, and mentoring across firmware, application, and cloud domains. The position demands 15+ years of software engineering with 8+ years in regulated medical device environments, hands-on expertise in .NET/C#/Blazor, Azure services, embedded firmware, cross-domain system integration, and strong cybersecurity practices for connected implantable devices.

Lead an embedded Linux software team building mission-critical defense systems, splitting time between management and individual contribution. Design and implement C/C++ Linux daemons, REST APIs, and system services for aerial platforms and deployable manufacturing infrastructure. Manage team standups, architecture reviews, and cross-functional coordination with autonomy, avionics, and mechanical/electrical engineering. Engineer for real-time performance, security, and reliability while owning developer experience, CI/CD pipelines, and field operability.

Senior Software QA Engineer responsible for validating Firestorm's avionics platform—embedded Linux and RTOS flight computers, drivers, middleware, and safety-critical interfaces. Will design and execute risk-based test strategies (feature, exploratory, regression, acceptance) across HIL/SIL rigs, build Python-driven automation for serial/CAN/Ethernet I/O and fault injection, and instrument diagnostics to isolate timing and state issues before Flight Test. Expected to own system testing end-to-end, validate robustness under degraded conditions (jitter, packet loss, brownouts, watchdog resets), and collaborate with avionics, autonomy, radio, and payload teams to harden reliability on aircraft.

Senior SysAdmin to administer and optimize Shield AI's Atlassian Cloud ecosystem (Jira Software, Jira Service Management, Confluence). Responsibilities include designing workflows and automation rules, developing REST API integrations and webhooks, managing enterprise system integrations (DevOps toolchains, CI/CD, identity providers), administering Atlassian Access, and building advanced dashboards and JQL queries. Requires 3+ years Atlassian administration experience, strong hands-on Cloud expertise, proven REST API and automation frameworks knowledge (ScriptRunner), and advanced JQL and reporting skills.

Staff engineer role focused on integrating autonomy software across Shield AI's Hivemind platform, spanning simulation, hardware-in-the-loop, and flight systems. Responsibilities include developing deep expertise in the autonomy stack, configuring and deploying multi-agent systems, integrating new autonomy capabilities, enabling platform bring-up on new robotic hardware, architecting integration tooling and deployment infrastructure, ensuring cross-platform compatibility, diagnosing integration defects via telemetry analysis, and optimizing CI/CD workflows. The role bridges engineering development and real-world autonomous applications, requiring systems integration expertise, robotics platform knowledge, and hands-on proficiency with sensor drivers, middleware, and deployment frameworks.

Staff Software Engineer responsible for adapting mobile control station software applications to a cloud environment, with focus on Infrastructure-as-Code, containerization, and deployment to Il-5 cloud infrastructure. Will collaborate across Software Engineering, Systems Engineering, Cloud & Application, and DevOps teams in an Agile environment, working on containerization, instrumentation, integration, security, and system testing. Requires 8-12 years of software engineering experience (depending on degree level) and hands-on expertise with cloud platforms, infrastructure components, IaC tooling, Docker/Kubernetes, software-defined networking, and scripting/coding languages.

Senior Cloud Engineer to design, deploy, and maintain scalable cloud infrastructure and services across development, testing, and production environments. Responsibilities include developing infrastructure as code (Terraform, CloudFormation), building CI/CD pipelines, managing cloud security and access controls, automating operational processes, and troubleshooting complex infrastructure issues. Requires 5+ years of cloud engineering or DevOps experience, hands-on expertise with AWS/Azure/GCP, and proficiency with Linux, scripting languages (Python, Bash, PowerShell), Docker, and Kubernetes.

As an Associate Software Engineer on the Digital Product Development team, you will participate in full-stack, full-cycle product development for cloud-native applications and IoT device lifecycle management platforms. You'll design, develop, and deploy web applications and services using languages like Java, React, and JavaScript, with emphasis on PaaS/IaaS, serverless services, and container technology. Responsibilities include code reviews, CI/CD pipeline development, automated testing, and building reliable, scalable cloud-native applications following security best practices. The role requires solid technical acumen, strong problem-solving skills, and the ability to work collaboratively in a fast-paced, high-growth environment.