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.

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.

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 implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues. Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.

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 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).

The Database Engineer will maintain, monitor, and optimize large-scale production MySQL database environments in distributed, mission-critical settings. Responsibilities include performance tuning, query and index optimization, database migrations and upgrades, capacity planning, and 24x7 on-call support. The role requires designing reliable database architectures, automating operational tasks, and collaborating with development teams on database design guidance. Candidates must have strong fundamentals in distributed database topologies, Linux administration, scripting proficiency (Go/Python/Shell), and experience with cloud platforms such as Azure.

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.

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.

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.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure at scale. Design self-service platforms and APIs for CDN/WAF onboarding, DNS, and certificate lifecycle management. Engineer edge security policies (Akamai, AWS WAFv2), troubleshoot packet-path connectivity, and automate compliance and cost operations. Direct AI agents to build and operate infrastructure faster while providing 24x7 incident response and mentoring engineers on automation patterns.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation. Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure protecting ~100M customers. Design and automate self-service platforms for CDN/WAF onboarding, edge security policies, DNS, and certificate lifecycle management across Akamai and AWS. Engineer APIs, UIs, and infrastructure-as-code solutions; troubleshoot the full packet path; and direct AI agents to scale operations. Provide 24x7 incident response and mentor engineers on networking, security, and cloud platform best practices.

This role develops and integrates device platforms with cloud management systems for wireless edge and IoT devices across Tier-1 carrier networks. The engineer will build middleware, APIs, and services; implement device management protocols (TR-069, TR-369/USP, SNMP); perform provisioning, telemetry ingestion, and firmware-over-the-air updates; and conduct end-to-end integration testing in lab environments simulating real-world conditions. The position requires proficiency in C/C++, Go, or Python on embedded and Linux systems, strong protocol debugging skills (Wireshark, GDB), and hands-on experience with cellular networking standards, REST/gRPC APIs, and remote device management. Success demands close collaboration across distributed teams, carrier certification support, and the ability to troubleshoot complex hardware-software-network integration issues independently.

Software Engineer I at Fuse will develop embedded communications, networking, and computing solutions for U.S. defense agencies. The role involves contributing to the full software development lifecycle—from kernel to UI—including design, implementation, testing, code review, and security integration across airborne, maritime, and ground platforms. The ideal candidate holds a BS in Computer Science and has academic or professional experience with strongly typed languages (C/C++, Java, C#, Rust, Go, or Zig), design patterns, and agile development practices. Nice-to-have skills include Linux/DevOps, Python/Bash scripting, networking protocols, CI/CD, build systems, React/web stacks, and containerization.

This Staff Platform Engineer role owns operational strategy and technical direction for enterprise GitLab (3,000+ users) and JFrog Artifactory platforms, leading cloud-native transformation and Kubernetes migrations. The position requires 7+ years of enterprise-scale platform operations, 5+ years each with self-managed GitLab and Artifactory in high-availability deployments, and 3+ years of deep Kubernetes expertise. Responsibilities include designing multi-region active-active systems, establishing cloud-native best practices, mentoring team members, and influencing organizational standards for platform engineering and developer experience. Required expertise spans Linux kernel/networking, PostgreSQL high availability, AWS/Azure/GCP, Kubernetes operators, service mesh (Istio), infrastructure-as-code (Terraform), observability (Prometheus), and production automation in Python, Go, and Bash.

Staff Software Engineer supporting Sony Engagement Platform Services, designing and building secure, scalable full-stack applications with hands-on contributions to both front-end and back-end systems. Responsibilities include architecting RESTful APIs, collaborating with product and design teams, defining data models and database schemas, and mentoring junior engineers. Required experience includes 8+ years with complex codebases, full-stack development, proficiency in Java/Go/Python, REST API design, and modern web technologies (HTML, CSS, JavaScript, React/Angular, TypeScript).