Software Gigs

Design, build, and ship LLM-powered capabilities end to end—from prototyping and fine-tuning models to deploying production agents and retrieval systems. Own the full stack: prompt and context engineering, multi-step agent design with tool calling, RAG systems (embeddings, chunking, hybrid search, reranking), fine-tuning on multi-GPU with LoRA/QLoRA, evaluation and tracing infrastructure, and clean APIs for other engineers. Work in a secure, distributed environment where the platform runs on customer compute, cloud, or hybrid setups, requiring expertise with both commercial and self-hosted models.

As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team. The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.

Build the foundational agentic AI layer for a materials-science platform, including multi-model provider abstraction, agent orchestration with stateful checkpoints, retrieval systems, prompt versioning, and comprehensive tracing and evaluation frameworks. You'll design agents that plan and reason over tool calls in production, implement human-in-the-loop safety gates, and ensure all LLM behavior remains auditable and cost-tracked across customers' secure environments. The role demands deep production experience with agentic and LLM systems: async Python, structured outputs, memory and context management, multi-step workflow orchestration, and evaluation harnesses that catch regressions before deployment.

Staff Software Engineer leading the design, architecture, and operations of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. The role involves architecting and evolving streaming and analytics platforms using Apache Flink, Spark, ClickHouse, and Druid; integrating batch and streaming workloads via lakehouse architectures; and embedding AI capabilities to automate engineering workflows and improve platform reliability. You will own critical platform capabilities end-to-end from design through production operations, mentor engineers, establish technical standards, and influence cross-functional technical strategy across PlayStation's data infrastructure.

Lead Network Engineer responsible for directing network integration, system testing, troubleshooting, and documentation across cross-functional teams at a U.S. Navy enterprise scale. Mentor junior network engineers, provide technical guidance on complex issues, and serve as primary technical advisor to government clients on system architecture and solution design. Must have 10+ years configuring and troubleshooting Cisco enterprise infrastructure, including Catalyst Center/SDA, SD-WAN, ISE, routing protocols (OSPF, IS-IS, BGP), and enterprise security technologies. Will drive Software-Defined Access, SDN, Zero Trust, and automation initiatives while holding Secret clearance.

Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation. The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.

Field/Base Network Engineer managing large technical teams and Navy-Marine Corps Intranet (NMCI) operations under the SMIT contract. Responsibilities include BAN/LAN/WAN network operations, troubleshooting, repair, installation, cabling, configuration, and COMSEC support; managing incident response, change management, and problem management initiatives. Requires extensive operations/engineering leadership experience, working knowledge of large DoD enterprise network environments, and hands-on technical background in network architectures, fault diagnosis, and ITSM/DevSecOps. Physical role involving equipment installation, rack mounting, confined-space work, and site-based troubleshooting across multiple locations.

The MMIS Developer – Supply Chain designs and develops supply chain software systems, translating business requirements into technical solutions. Responsibilities include leading development projects, maintaining critical analytics and databases, troubleshooting system issues, and creating reports. The role requires proficiency with VBA, SQL Server, and business intelligence tools like Power BI, with preferred experience in Lawson, Epic, Python, and Snowflake for supply chain analytics.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, integration patterns, and architectural standards for the Data Lake, Data Warehouse, ODS, and cloud platforms while ensuring security, resilience, and high performance. Working closely with engineering, analytics, and business teams, the architect provides technical guidance on modern data systems, governance frameworks, and ETL/ELT pipelines. The position combines strategic vision with practical experience optimizing structured, semi-structured, and unstructured workloads across SQL, NoSQL, and cloud-native systems.

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.

Ignite Digital seeks an AI Engineer to own the end-to-end machine learning lifecycle—from data preparation and model training through production deployment and monitoring. You will integrate AI models into frontend and backend systems, optimize performance for latency and cost, and collaborate with technical leads and customers to deliver Data and AI solutions. The role requires strong Python and cloud platform expertise (AWS, Azure, or GCP), software engineering fundamentals, and the ability to communicate technical opportunities and limitations across varying levels of technical experience.

Design, develop, and implement modem power optimization features within the modem protocol stack for Pixel devices. Analyze power consumption across LTE and 5G NR network conditions to identify optimization opportunities, collaborate with modem vendors and platform teams on power reduction initiatives, and build automated power measurement tools and dashboards to track KPIs. Requires 1+ years of C/C++ coding experience and hands-on power management of embedded mobile devices, with strong performance analysis, debugging, and optimization skills for low-level systems.

Staff-level engineer designing and operating large-scale distributed data platforms powering real-time analytics across PlayStation. You will lead the architecture and evolution of the Real-Time Analytics Platform (RTAP), own critical capabilities end-to-end from design through production operations, and mentor engineers. Key responsibilities include building and optimizing distributed services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid; integrating batch and streaming workloads with lakehouse architectures; and establishing technical standards for distributed systems, stream processing, and data modeling.

As a Data Developer, you will design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data platforms that integrate enterprise systems and support AI/ML initiatives for the U.S. Navy. You will perform data engineering tasks including cleansing, transformation, and optimization of SQL and Apache Spark workloads on AWS, while also developing predictive models and generative AI solutions using Python-based technologies. You will build interactive dashboards and visualizations in Tableau or Qlik, translating technical findings into actionable insights for stakeholders. An active Secret clearance, U.S. citizenship, and a bachelor's degree in a technical field (or 4+ years of relevant professional experience) are required.

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.

Join Illumina's Primary Analysis team to design and develop high-performance signal processing software for genomic data analysis. You will architect C/C++ solutions for multi-threaded, real-time applications running on Linux, optimize algorithms for genomic base calling from image signals, and collaborate across bioinformatics, instrument design, and quality teams. The role demands expertise in memory management, performance optimization, debugging tools, and unit testing, with 8+ years of professional software development experience.

SAIC seeks a Senior Software Engineer to integrate AI capabilities into expeditionary systems for the Navy, including sensor kits, unmanned systems, command & control, and TAK. The role spans hands-on development—maintaining Zenoh data mesh in Rust, building React frontends in JavaScript, integrating machine learning models, converting tactical message formats—and technical leadership with senior management. Required qualifications include 9+ years as a software engineer, data engineer, or data scientist; expert Python; intermediate Rust or Go; experience with containerization, event streaming platforms (Kafka, Kinesis, RabbitMQ, Zenoh), tactical data standardization, and data pipeline deployment. Successful candidates will collaborate with ML engineers, systems engineers, and field teams to ensure high-quality data flow and operational performance.

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.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams. Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications. This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.

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.

An Applications Engineer will own technical support for manufacturing clients while gradually growing into active development of VersaCall's andon and production monitoring platform. The role requires troubleshooting software and hardware issues, configuring and deploying systems, working with internal scripts and APIs, and reading/contributing to a complex codebase across multiple services. The successful candidate will combine client-facing communication with hands-on debugging and eventual feature development, growing into an in-house platform expert. Required experience includes 2–4 years in technical support, software development, or systems engineering, with a modern web stack (React, C# .NET, JavaScript, SQL, Docker, Git).

Senior Software Engineer supporting next-generation tools and systems development at a defense/intelligence contractor. Responsibilities include designing and implementing AI-assisted web-based applications that integrate with custom embedded systems, writing requirements and test documentation, executing tests, and interfacing with customers on requirements and design reviews. Requires 6+ years of software engineering experience, proficiency in Python, C# or Rust, JavaScript/TypeScript, HTML/CSS, Linux systems expertise, web-based UI development skills, and network software engineering knowledge (TLS/HTTPS). Must hold or be able to obtain a DoD SECRET clearance.

Design and optimize video analysis and quality assessment algorithms for next-generation video codec hardware accelerators (FPGA/ASIC). Implement C-models and firmware for advanced video encoding, collaborating across algorithm, architecture, software, and hardware teams. Apply machine learning techniques including deep learning frameworks and transformer architectures for ROI detection, content understanding, and feature extraction. Integrate algorithms into production VOD/live streaming workflows and validate impact through A/B testing and objective quality metrics (VMAF, PSNR, SSIM).