Top Software Engineer Jobs in Richmond, VA

Build enterprise control-plane products for managing Hightouch deployments at scale. Responsibilities include developing roles, permissions, and access control; creating change-management tools for evolving data models and warehouses; and helping customers understand and optimize warehouse performance and costs. The role requires backend and distributed-systems architecture, asynchronous workflows, scalability, reliability, product thinking, and engagement with product specifications.

Design, build, and optimize distributed systems powering large-scale data synchronization. Responsibilities include improving sync speed, developing real-time streaming capabilities, scaling high-volume and low-latency systems, troubleshooting customer scaling challenges, and supporting multi-region, multi-cloud infrastructure and data residency requirements. The role involves end-to-end project ownership, customer collaboration, system architecture, and reliability improvements.

Develop backend systems for Hightouch’s Customer Studio product, focusing on data warehouse performance, analytics and experimentation, real-time audience syncing, and generative AI workflows. Design scalable, maintainable, and reliable distributed systems while contributing to product specifications and customer-focused solutions. The role requires strong product sense and the ability to architect data-processing features end to end.

Design and evolve scalable referral, partner data, and patient booking systems. Lead complex technical projects across teams, make architecture and API decisions, improve security, performance, reliability, and scalability, and mentor engineers. Collaborate with product, design, engineering leadership, partners, and stakeholders while using AI-assisted development tools such as Claude Code to improve delivery velocity and quality.

Build and maintain backend services, APIs, workers, shared libraries, and cloud-native runtime infrastructure for Alteryx Cloud orchestration and job execution. Develop asynchronous, event-driven, distributed systems with queues, persistence, retries, and failure recovery. Improve reliability through observability, testing, deployment tooling, and incident follow-up while collaborating across engineering and product teams.

Design and build Seeq’s internal platform, including infrastructure, services, multi-tenant Kubernetes clusters, system interfaces, and secure deployment capabilities. Improve scalability, reliability, software delivery, and infrastructure cost and performance. Lead migrations, integrate security practices, architect distributed systems, collaborate cross-functionally, and mentor engineers while remaining hands-on at Staff or Principal scope.

Tests software specifications from refinement through release, shaping acceptance criteria, writing test plans, executing manual, exploratory, regression, functional, UI, and API tests, and maintaining automated coverage. Owns defect tracking and resolution, contributes to root-cause analysis and escaped-defect reduction, and supports release-readiness decisions. Collaborates with product, development, architecture, and design teams in an Agile environment.

Develops, tests, deploys, and supports major software features and services. The role translates product requirements into maintainable technical solutions, makes design and performance trade-offs, performs root-cause analysis, conducts code reviews, improves development and deployment practices, and mentors newer engineers. The position requires collaboration across engineering and product teams and includes working with Java, SQL, XML, web technologies, JavaScript, and Oracle databases.

Lead design, implementation, and deployment of core platform tooling enabling secure, cloud-native application delivery. Integrate with defense systems, own architecture, mentor engineers, contribute to open source, maintain documentation, and participate in a shared 24x7 on-call rotation.

Build and lead development of real-time, cloud-native integration pipelines and Java/Spring Boot microservices on GCP. Design event-driven streaming with Pub/Sub, Kafka, and CDC tools; govern REST APIs and data schemas; connect enterprise databases, supply chain systems, and data lakehouses. Responsibilities include architecture, coding, deployment, code reviews, integration templates, testing, monitoring, and technical leadership.

Build and scale Neuroscale’s backend platform for AI-powered recruiting workflows. Responsibilities include developing Python/FastAPI REST APIs, designing high-throughput systems, managing PostgreSQL, Redis, OpenSearch, Celery, and Temporal infrastructure, deploying services on AWS, maintaining containerized CI/CD pipelines, and supporting integrations, data pipelines, and asynchronous workflows. The role owns architecture and reliability decisions, mentors engineers, and collaborates with AI, product, and frontend teams in a high-ownership startup environment.

Build and operate Numeral’s public API, MCP server, billing and ERP integrations, infrastructure, data pipelines, and platform services. Own projects from design through production, improve observability and reliability, automate deployment workflows, and contribute to architecture decisions. The role requires strong backend engineering, distributed systems knowledge, cloud and container experience, and a customer-focused approach to dependable financial automation.

Build and scale AI-enabled developer experience systems, including CI/CD platforms, deployment safeguards, observability, automated response workflows, and multi-agent orchestration. Reduce developer toil and technical debt while improving software delivery speed, safety, reliability, and production quality. Partner with engineering teams to adopt AI-native delivery practices and convert emerging capabilities into scalable internal platforms.

Lead iOS engineering for the Subscription Growth team, building and improving premium subscription experiences, paywalls, upsell experiments, and promotional offers. Develop high-quality, testable solutions, refactor architecture, support automated app builds and releases, and collaborate across iOS, Android, web, backend, and infrastructure teams. Provide technical leadership, mentorship, and guidance on design, security, testing, deployment, and rapid experimentation.

Build and operate Numeral’s platform services, public API, MCP server, ERP and billing integrations, infrastructure, data pipelines, and developer interfaces. Own projects from technical design through production, improve observability and reliability, automate deployment workflows, and support scalable background jobs and APIs. Collaborate with product and engineering teams while applying distributed-systems principles and maintaining accurate, dependable financial-data workflows.

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Design, build, and own production-grade platform subsystems for Stacklok Enterprise, writing Go software that runs on customer Kubernetes environments. Collaborate with leadership, mentor engineers, support customer onboarding and troubleshooting, contribute to the open-source ToolHive project, and translate customer feedback into product improvements. The role also involves improving engineering workflows through AI-assisted development and owning platform areas from design through ongoing production operations.

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

Lead the technical vision, architecture, and delivery of Toast’s pricing engine across multiple teams. Design and operate highly available distributed systems, APIs, databases, and event-driven services at scale. Serve as the pricing domain expert, improve correctness and performance, lead incident response and reliability initiatives, mentor engineers, establish operational excellence, and align technical priorities with Product and engineering leadership.

Lead backend engineering strategy for Affirm’s search and recommendation platform. Design and launch highly available distributed systems, guide technical architecture and execution, improve team operations and reliability, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on search, recommendations, consumer shopping experiences, monetization, and scalable platform foundations.

Leads architecture, hands-on software development, deployment, and production issue resolution for strategic customer projects. Drives AI innovation, platform resiliency, security, observability, performance, and operational improvements. Partners with executives, engineering, product, and customer success teams to prioritize strategic programs, improve customer value, share technical best practices, and remove production blockers.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Design, develop, and maintain scalable AI-forward APIs, Model Context Protocol services, and enterprise software for M365 data access. Lead features from concept through launch, create reusable code, estimate and decompose work, monitor production systems as an on-call DRI, improve reliability and performance, and mentor engineers. The role requires strong software engineering experience, backend programming proficiency, RESTful API design, microservices expertise, and experience delivering complex enterprise-scale systems.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.