Top Senior Software Engineer Jobs in Richmond, VA

Develop and maintain software applications supporting genetic testing and clinical reporting workflows. Collaborate with geneticists, bioinformaticians, laboratory professionals, and business stakeholders to define requirements and architecture. Troubleshoot defects, ensure data accuracy and system reliability, document processes, support continuous improvement, and comply with security, regulatory, and organizational requirements.

Develop and optimize embedded Linux software for Xilinx Zynq UltraScale+ platforms using PetaLinux. Responsibilities include BSP and kernel configuration, device-driver development, FPGA/software integration, hardware bring-up, board validation, performance tuning, diagnostics, and system testing. The engineer collaborates with FPGA, DSP, RF, and hardware teams on mission-critical military communications systems, supports lab and field integration, and produces technical documentation. Travel of 25–30% may be required.

Own and evolve Swyfft’s partner-facing insurance API, including resource design, versioning, backward compatibility, authentication, rate limiting, error handling, metrics, documentation, and contract testing. Build production C# code, maintain the translation layer between public APIs and internal systems, support partner integrations, and collaborate with QA and product. The role requires substantial public API experience, strong API security and multi-tenancy knowledge, and fluency in C#, ASP.NET Core, SQL Server, and Azure.

Modernize an existing C++ desktop application by migrating functionality to a web-based .NET solution. Design, develop, test, deploy, maintain, and support software using C++, C#, ASP.NET Core, APIs, and modern web technologies. Collaborate with product, QA, and business stakeholders, perform code reviews and debugging, resolve performance issues, and evaluate AI capabilities for application and workflow integration while ensuring security, testing, monitoring, and validation.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Develop and support full-stack enterprise applications for legal operations, matter management, document management, compliance, and business process automation. Build React frontends, Java and Spring Boot microservices, REST APIs, event-driven integrations, and cloud-native solutions. Work with databases, Docker, Kubernetes, Azure, AWS, CI/CD, monitoring, security, production support, and Agile delivery while collaborating with legal, compliance, product, architecture, and engineering teams.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Design, build, and operate Chainguard’s container product, including registry features, image build pipelines, distribution systems, adoption tooling, and customer-facing services. Own projects end to end, make product trade-offs, collaborate with customers and product managers, improve observability and reliability, support on-call operations, and use AI coding agents safely. The role requires systems thinking across containers, registries, build infrastructure, and customer clusters in a remote-first environment.

Build and operate full-stack product capabilities for a cybersecurity platform, with an 80% backend and 20% frontend focus. Own moderate-to-large projects from technical design through rollout, develop APIs and distributed services, create modern web experiences, and ensure reliability, observability, and maintainability. Collaborate with Product, Design, and engineering teams, contribute to architecture, conduct code reviews, mentor engineers, and improve product quality and execution.

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Build, deploy, and maintain production software that improves robotics operations. Develop internal tools, dashboards, automations, and integrations; learn and contribute to an Elixir-heavy system and Google Cloud applications. Partner with Operations and Engineering to discover workflow improvements, validate AI-assisted code, improve reliability, and support applications after launch.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Own and evolve cloud infrastructure, internal developer tooling, release automation, preview environments, and reliability practices. Build reusable libraries and SDKs, improve monitoring and tracing, manage SLOs and incident response, and solve scaling challenges across data and compute systems. The role requires strong AWS, Terraform or Pulumi, TypeScript and Node.js knowledge, startup infrastructure experience, and clear technical documentation.

Build scalable Golang microservices, APIs, and data-centric systems supporting eligibility, coverage, billing, client workflows, and healthcare operations. Automate manual processes, develop self-service tools, ensure data accuracy and traceability, and collaborate with data and AI teams on validation, automation, and anomaly detection. The role requires production backend experience, event-based architectures, cloud platforms, and strong stakeholder communication.

Build and maintain an internal application framework with authentication, hosting, CI/CD, observability, and alerting defaults. Develop custom tools such as Slack bots, web applications, and workflows for business teams. Evaluate build-versus-buy decisions, integrate SaaS products and APIs, and own projects from scoping through adoption. Partner with engineering and non-engineering stakeholders while applying AI-assisted development and automation.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.