Software Gigs

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.

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).

BAE Systems seeks a Software Engineering Intern III for Summer 2027 to develop new code, resolve critical problems, and improve system stability within the Electronic Systems division. The intern will work alongside experienced engineers on real-world aerospace and defense projects, gaining hands-on experience with modern software architectures, frameworks, and databases. Required skills include proficiency in Java, C++, C#, Python, or JavaScript, along with knowledge of data structures and object-oriented programming. The role offers exposure to cloud platforms (AWS, Azure), containerization (Kubernetes, Docker), frontend frameworks (React, Angular), backend tools (Spring, Gradle), and various databases (SQL, NoSQL).

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.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams. Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code. The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

Lead technical delivery of complex autonomy capabilities for Shield AI's V-BAT and X-BAT unmanned aircraft platforms, spanning mission autonomy, payload integration, flight-control interfaces, and multi-agent behaviors. Own end-to-end integration from architecture through field deployment, coordinate across Aircraft, Autonomy Capabilities, Perception, and GCS teams, and drive mission readiness for customer releases. Mentor engineers, improve engineering practices, and serve as primary technical partner to the Aircraft team on integration approaches and interface design. Requires 7+ years of relevant experience, expert C++ and Linux development, and deep expertise in complex autonomy systems or embedded systems integration.

Lead Veracyte's Quality Engineering Platform team as Manager of Software Test Automation, defining quality strategy and building scalable automation frameworks that enable product teams to own software quality. Manage a team of SDETs, Automation Engineers, and Quality Platform Engineers to develop self-service testing platforms, reusable automation libraries, and AI-assisted quality tools supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing. Establish modern engineering practices, quality standards, and reference architectures across the organization while fostering a culture of innovation and continuous improvement. Drive Veracyte's strategy for AI throughout the software testing lifecycle, including automated test generation, regression analysis, defect classification, and synthetic test data creation.

Software Engineer I will research, design, and implement containerized web applications and services for the Department of Defense, with a focus on automating and orchestrating mission-critical systems for the U.S. Navy. Day-to-day work includes developing in Java, Groovy, Kotlin, or front-end frameworks; conducting manual and exploratory testing; maintaining test plans and traceability; and supporting CI/CD pipelines and container orchestration. The role requires a minimum of two years in software development, familiarity with Java or similar OOP languages, comfort in Linux environments, and experience with build tools like Gradle or Maven.

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.

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.

Senior Software QA Engineer to own system testing for Firestorm's avionics platform—embedded Linux and RTOS flight computers, board support packages, device drivers, and safety-critical data paths. You will design and execute risk-based test strategies (feature/bring-up, exploratory, regression, acceptance) and build automation across HIL/SIL rigs exercising real buses (CAN/CAN-FD, UART, SPI, I²C, Ethernet) and links (MAVLink, Tactical Data Links) under fault conditions. You will instrument diagnostics, triage defects, and harden robustness for timing, jitter, packet loss, brownouts, and recovery paths before Flight Test. This is a full-time onsite role in San Diego requiring hands-on bench work with flight computers, power systems, radios, and sensors.

Software Engineer II will research, design, and implement technologies for automating, integrating, and delivering containerized web applications and services for the Department of Defense. The role involves designing and sustaining mission-critical software systems for U.S. Navy warfighters, developing in Java, Groovy, Kotlin, and front-end frameworks, and conducting manual and exploratory testing. Responsibilities include developing test plans, maintaining traceability to requirements, and supporting CI/CD pipelines and container orchestration. Requires 5+ years of software development experience, familiarity with OOP languages, comfort with Linux environments, and experience with build tools like Gradle or Maven.

Software Engineer I will research, design, and implement containerized web applications and services for the Department of Defense, focusing on mission-critical systems for Navy warfighters. Responsibilities include development in Java, Groovy, Kotlin, or front-end frameworks; manual and exploratory testing; test plan creation and requirement traceability; and CI/CD pipeline and container orchestration enhancements. The role requires 2+ years of software development experience, familiarity with OOP languages, Linux proficiency, and experience with build tools like Gradle or Maven.

Design, develop, and maintain robust backend APIs and services for Speechify's text-to-speech platform, including public TTS APIs, payment, subscription, auth, and consumption tracking systems. Oversee the full backend API landscape, optimize for performance and maintainability, and collaborate on B2B solutions for enterprise clients. Requires proven TypeScript/Node.js backend development experience, direct GCP expertise, and knowledge of AWS or Azure. Preferred experience with Docker and Kubernetes for high-availability deployments.

Design, implement, and maintain secure DevSecOps automation frameworks and CI/CD pipelines across hybrid infrastructure, cloud, and application platforms. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, and Python to automate provisioning, configuration management, patching, and vulnerability remediation across Windows, Linux, VMware, and Azure environments. Integrate security controls into deployment pipelines including vulnerability scanning, secrets detection, code scanning, and policy enforcement aligned with FFIEC, NCUA, CIS, and NIST standards. Partner across Infrastructure, Security, and Application Development teams to advance DevSecOps practices, container engineering, and secure cloud governance.

Senior Network Engineer responsible for designing, developing, and maintaining complex network systems for Navy missions. Translate business requirements into technical network solutions, lead architecture and engineering efforts, and provide hands-on support for critical military infrastructure. Required to manage network performance, quality of service, and ensure production-ready configurations across global networks. Bring 10+ years of network engineering experience with expertise in routing protocols, firewalls, cloud integration, and cybersecurity.

Senior Network Engineer supporting the US Navy to design, architect, and maintain production-ready network configurations for the Global Network. Responsible for translating business requirements into technical solutions, establishing KPI measurement methodology, performance tuning, and troubleshooting network infrastructure. Requires hands-on expertise in Cisco routing and switching, advanced routing protocols (OSPF, BGP, DMVPN, MPLS/VPLS), QoS implementation, and packet analysis tools. Will report directly to government stakeholders, present at technical meetings, and support lab operations as a CMS Level 2 user.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman. Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations. Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.

Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response. Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.

Join Singular Genomics' core software team as a generalist Software Engineer contributing to the sequencing analysis pipeline, operational tooling, and field support. You'll work across Python development, CI/CD infrastructure (Jenkins, Bitbucket), HPC job execution, and diagnostic troubleshooting of production failures on genomic sequencers. Responsibilities include pipeline bug fixes and features, build system maintenance, field triage, data handling logic, and developing lightweight web services and internal APIs. You need 2–5 years of professional experience, solid Python fundamentals, Linux/HPC familiarity, and the ability to debug and move fast across a large, real production codebase.

Own and evolve the cloud infrastructure, deployment systems, and CI/CD pipelines powering Clinically AI's healthcare platform on GCP. Design and maintain cloud infrastructure using GKE, Terraform, and Helm; build reliable CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response processes. Work closely with Backend, AI, and Product teams to support scalable infrastructure for AI pipelines, real-time processing, and multi-environment deployments. Operate with significant autonomy across cloud-native architecture while optimizing for performance, reliability, cost, and compliance.

Staff Site Reliability Engineer at SHEIN responsible for operating and evolving large-scale, mission-critical production systems with 24/7/365 on-call participation. Design, build, and maintain observability solutions (metrics, logs, traces, alerting) with AI-powered anomaly detection; own and operate core open-source infrastructure (APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper). Automate operational workflows, reduce incident frequency and MTTR, and provide technical leadership across global engineering teams. Requires strong software engineering skills, deep Linux/networking/distributed systems expertise, and passion for solving problems at scale.