Top Senior Software Engineer Jobs in Richmond, VA

Design and implement backend systems and APIs in Go, contribute full-stack features with React/TypeScript, define observability data models (OpenTelemetry), lead complex cross-team projects, own production services including on-call, mentor engineers, and collaborate with product and design to deliver AI observability features.

Build and iterate growth experiments, onboarding flows, promotions, and re-engagement campaigns. Design and integrate services/APIs and cloud infrastructure, instrument and analyze product data, apply AI where useful, improve system reliability, and mentor peers to drive activation, engagement, retention, and monetization.

Design, build, test, and deploy secure mission-planning software. Maintain secure CI/CD, containerized deployments, automated testing, and security-scanning workflows. Integrate AI capabilities, investigate vulnerabilities, support remediation, produce technical design documentation, and collaborate with stakeholders and customer leads.

Build and optimize high-volume web applications using .NET, Node, React and AWS; maintain and improve existing systems; troubleshoot bugs; perform code reviews; mentor junior engineers; participate in on-call rotation; and improve scalability and performance.

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Lead quality efforts across backend services, APIs, and customer-facing apps. Design and implement automated test frameworks, build custom tooling and load testing solutions, improve testing pipeline scalability, mentor engineers, and apply GenAI/LLMs to testing and test-generation challenges.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Lead development of complex web applications and related infrastructure. Coach developers, drive architecture and design, collaborate with PMs and clients, write and review code, implement tests and CI/CD, ensure security, and document systems while automating tasks and improving product reliability.

Build and maintain high-performance Ruby on Rails services on a Rails/AWS/Kubernetes stack. Own end-to-end feature development, optimize DB queries and APIs, support legacy modernization and new product growth, participate in on-call rotation, and drive CI/CD, testing, and architectural improvements.

Design and build customer-facing web apps (React, TypeScript) and backend microservices (C#, .NET Core). Lead software design and code reviews, implement CI/CD and testing, evaluate emerging technologies, and contribute to AI initiatives within the CRM platform.

Lead design and rewrite of cloud-native core systems. Build scalable back-end services and front-end features, drive architecture and testing discussions, mentor engineers, and improve telemetry, performance, and reliability.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Design, build, and operate scalable web applications, APIs, services, and AI-enabled workflows. Use AI tools across the development lifecycle, ensure reliability, performance, and observability, contribute to technical decisions, iterate from user feedback, and own production quality and delivery as part of cross-functional squads.

Senior Software Engineer at Twilio will design, build, and maintain scalable communication systems, collaborate with cross-functional teams, mentor engineers, and contribute to architecture and delivery. Responsibilities include writing high-quality code, improving performance and reliability, shipping product features, and participating in technical planning within a remote-first, inclusive environment.

Lead and coach a software engineering team to design and deliver production-grade reference architectures, sample applications, and reusable implementation patterns. Provide hands-on technical leadership across cloud-native, containerized, and distributed systems; drive architecture and adoption of best practices; partner with platform and infrastructure teams; participate in coding, prototyping, and troubleshooting; manage staffing, prioritization, and delivery planning.

Build and maintain the full-stack Raise product: polished donor-facing UIs and backend systems. Own features end-to-end, ensure scalability, reliability, and performance, review AI-generated code, collaborate with Product and Design, write clean testable code, and support observability and incident resolution.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Design, implement, and own production platform subsystems for an enterprise AI control plane. Deliver production-ready Go services on Kubernetes, ensure reliability, observability, and scalability, mentor engineers, drive design docs and code quality, and contribute to the open-source ToolHive/MCP ecosystem.