Top Software Engineer Jobs in Richmond, VA

Improve performance and scalability of web applications by identifying and resolving front-end and back-end bottlenecks. Optimize load times, API responses, and database queries; develop scalable features across the stack, monitor performance, conduct code reviews, troubleshoot production issues, and collaborate with product, design, and engineering teams.

The Embedded Software Engineer will analyze and develop embedded software systems, provide customer support, and apply software engineering and cybersecurity methods.

Design, build, and maintain large-scale, resilient systems; develop features and automated tests; mentor engineers; implement CI/CD and cloud-native infrastructure; integrate AI tools; lead projects, code reviews, and cross-team initiatives while improving engineering practices and documentation.

Lead design and delivery of platform capabilities that power a Federated GraphQL API and event-driven systems. Build and optimize gRPC endpoints, GraphQL APIs, and SQL for scale; own observability (DataDog, Bugsnag), mentor engineers, drive integrations, improve performance and reliability, and support customer-facing product teams across the organization.

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Own and advance a core Helius backend system supporting Solana infrastructure. Design and release high-performance products, optimize latency and throughput, make architectural decisions, improve observability and incident response, and mentor engineers. The role requires end-to-end ownership of production systems at scale, with close collaboration with founders and engineering leadership. Relevant systems include data streaming, historical APIs, account indexing, and access control infrastructure.

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Seeking a Senior Software Engineer with 5+ years of experience to design and develop large-scale distributed systems, mentor junior engineers, and manage complex projects in a dynamic setting.

Lead test architect for end-to-end integration testing of a complex genomics product portfolio. Design contract-first validations (OpenAPI/Avro), build resilient API and event-driven test frameworks, embed LLM-driven test generation and log analysis into CI/CD, mentor SQEs, enforce staging guardrails, and run chaos/resiliency experiments across distributed microservices.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design and develop software to onboard hardware accelerators and optimize storage datapaths for Azure Storage. Drive design, debugging, performance tuning, operations, and cross-team collaboration across research, compute, and storage to improve throughput, scale, reliability, and observability.

Design, implement, and operate low-level components of Azure Storage distributed file systems. Define requirements, produce designs, write and reuse high-quality code, break down work, estimate tasks, and act as an on-call DRI to monitor and restore services. Drive reliability, performance, observability, and scalability improvements.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Leads the technical strategy, architecture, implementation, and delivery of a scalable ecommerce platform for vehicle discovery, configuration, checkout, payments, order management, fulfillment, and ownership experiences. Builds and tests distributed systems, drives code quality and technical decisions, partners with product and UX teams, simplifies complex problems, and mentors engineers while balancing customer impact, business needs, and long-term technology excellence.

Conducts manual and automated software testing across requirements, user workflows, edge cases, regressions, APIs, and data validation. Creates test cases, investigates and documents defects using SQL, logs, browser tools, and source code, and contributes Playwright automation within CI/CD pipelines. Collaborates with engineers and product teams, supports accessibility and security-conscious testing, follows HIPAA data-handling practices, and uses Claude Code responsibly to improve test design and investigation.

Lead design and implementation of backend services for payments, billing, ledgers, settlements, and reconciliation. Drive architecture, integrate with external payment and banking partners, ensure financial accuracy, security, compliance, scalability, and operate mission-critical production services.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Build and operate distributed, event-driven backend services for Stacklet’s cloud governance platform. Responsibilities include developing GraphQL APIs, policy execution pipelines, cloud asset and cost data stores, and scalable multi-cloud systems. The role requires designing for reliability, observability, retries, idempotency, and eventual consistency; managing PostgreSQL schemas and migrations; and using AWS serverless services, infrastructure as code, CI/CD, and automated testing. The engineer will also lead backend initiatives, mentor teammates, and contribute to architectural decisions.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Senior Software Engineer joining Fetch’s Data Platform team to architect and evolve scalable data pipelines, governed data access, delivery infrastructure, and partner integrations. The role owns ambiguous technical problems, leads multi-system initiatives and migrations, improves reliability and engineering efficiency, shapes technical direction, collaborates across teams, and mentors engineers. Candidates need strong backend or platform engineering experience, data infrastructure knowledge, cross-team leadership, operational judgment, and excellent communication skills.

Leads end-to-end development of high-scale Yahoo Mail web features, from architecture and implementation through deployment, monitoring, and maintenance. Uses AI-assisted development tools while validating code for security, performance, accessibility, and correctness. Collaborates with product and UX teams, conducts code reviews, mentors engineers, and improves software lifecycle efficiency through automated workflows.