Top Software Engineer Jobs in Richmond, VA

The Staff Software Engineer will lead the architecture and development of a real-time content platform, working on both backend and frontend systems while mentoring team members and collaborating with product and design teams.

Build and evolve Nexus interfaces for Temporal SDKs across multiple languages. Design and implement runtime APIs and behaviors, integrate SDKs tightly with language runtimes for durable, deterministic execution, collaborate with OSS community, write technical documentation, and own end-to-end features with high reliability.

As a Senior Software Engineer, design, build, and maintain backend functionality for scalable multi-tenant services focused on data storage and retrieval. Lead technical initiatives, collaborate across teams, and ensure system reliability and performance.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

As a Software Engineer on the Public Sector team, you'll design and scale backend services for Databricks' Data Intelligence Platform, ensuring high availability and resilience in complex environments, while optimizing performance and security standards.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Design, build, and operate high-scale Customer Care and Identity systems using React, TypeScript, Java/Node.js. Lead AI-first workflows, own end-to-end full-stack features, implement AI-driven efficiencies, ensure security and reliability, mentor peers, and collaborate cross-functionally on integrations and operational excellence.

Build and operate Go backend services for a non-custodial KMS powering embedded wallets. Implement key recovery, distributed key generation, TEE integrations, authentication and signing-provider flows, security review and hardening, and production operations on Kubernetes, including observability, secrets/certificate management, and compliance controls.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

Build and maintain large-scale batch and streaming data ingestion and ETL pipelines for global geospatial datasets. Implement, test, monitor, and optimize backend services on AWS; integrate data with APIs; mentor engineers; reduce technical debt; and participate in design, code reviews, and on-call support to ensure data quality and operational excellence.

As a Principal/Staff Software Engineer, you will design, implement, and lead embedded software for Optical DCI transport systems, ensuring performance and reliability.

The Senior Software Engineer will enhance Attentive's event streaming platform, architect high-throughput systems, improve tools for product teams, and tackle complex distributed challenges. Responsibilities include collaborating on messaging systems and modernizing the architecture.

Lead technical strategy and hands-on development of HubSpot's build, test, and deploy platform. Design scalable CI/CD, test orchestration, and AI-powered QA agents, drive architectural decisions, remove pipeline bottlenecks, and deliver cross-team initiatives that increase deployment velocity and reliability for thousands of engineers.

Backend-leaning full-stack engineer to build, maintain, and scale CueBox's Golang/Protobuf/Postgres backend and React/Next.js frontend. Pioneer new product areas, improve performance and payments, contribute to architecture and engineering culture, and support Python data pipelines on GCP.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.

Own and scale the core betting experience across mobile and web using React Native. Diagnose and fix critical client issues, lead cross-platform design reviews, partner with backend/product/design, use analytics to validate changes, coach engineers, and drive reliability, performance, and developer-velocity initiatives.

Design, implement, and operate cloud-native microservices and platform services for high-throughput supply chain systems. Build and optimize real-time and batch data pipelines, define APIs and event-driven integrations, use AI-assisted development tools, own production reliability, participate in code review, and mentor engineers while producing robust, scalable solutions.

Lead the design and implementation of end-to-end quality systems and testing frameworks. Own multiple testing layers (unit, integration, E2E, contract, performance, chaos), integrate automated tests into CI/CD, drive load/performance testing and monitoring, troubleshoot failures, apply AI tooling to improve workflows, and collaborate with engineers, PMs, and designers to improve coverage and reliability.

Lead and deliver secure, full-stack software for DoD customers through pair-programming, TDD, continuous delivery, and client-facing mentoring. Teach agile practices, build and test APIs, run software in Linux, use container and DevSecOps tooling, and champion AI-augmented workflows while ensuring week-over-week delivery and client success.

Design and build backend services, APIs, SDKs, and user-facing systems enabling secure agent-to-agent financial interactions. Implement cryptographic identity, payment workflows, transaction processing, reputation tools, and scalable infrastructure for AI-native financial products.

Technical leader on the Elasticsearch Search team driving design and implementation of search and vector features, improving relevance, contributing to Lucene, mentoring engineers, triaging community issues, and writing idiomatic modern Java for a distributed, collaborative team.