Top Senior Software Engineer Jobs in Hampton, VA

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.

Architect, build, and maintain scalable full‑stack applications using React, TypeScript, Node.js, and AWS. Own features end-to-end, optimize performance and usability, collaborate with founders, and use AI tools to accelerate development in a fast-paced startup.

Provides technical leadership for designing, developing, optimizing, porting, and certifying GPGPU and AI inference libraries built on Vulkan SC drivers. The role targets embedded GPU platforms such as Arm Mali and Intel, maintains AI model testing infrastructure, defines validation standards, supports customer deployments, and troubleshoots drivers. It also involves documentation, competitive analysis, cross-functional architecture decisions, mentoring, onboarding, and exploring emerging AI compute capabilities.

Design, build, and maintain scalable backend services and infrastructure for Roadie’s logistics platform. Identify performance bottlenecks, improve reliability, collaborate with Product, Data Science, and engineering teams, contribute to code reviews and technical practices, and own projects from concept through production.

Lead end-to-end design and delivery of AI-infused, enterprise full-stack applications on Azure. Architect resilient solutions, build Copilot/agentic features, enforce engineering best practices, mentor engineers, collaborate with PM/UX teams, ensure quality/reliability, and support production services and integrations.

Build and optimize high-throughput Java backend systems processing hundreds of millions of contact profiles. Design scalable solutions for entity resolution, data quality, attribute selection, and contact publication. Develop testing frameworks and rules for fragmented data, collaborate with data scientists and engineering teams, and contribute to architecture, performance, scalability, and technical strategy across the Person Data platform.

Build zero-to-one products from prototype through production, working through ambiguity and partnering closely with product, design, and customers. Develop scalable systems, run experiments and technical spikes, influence product direction, and uphold reliability, performance, engineering standards, and customer experience. Mentor engineers and contribute to architecture, coding practices, and cross-functional collaboration.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and maintain full-stack production software using React, TypeScript, Python, Flask, PostgreSQL, and AWS. Design APIs, integrations, cloud infrastructure, deployment pipelines, tests, and accessible web experiences. Own features through launch and production support, troubleshoot complex issues, participate in architecture and code reviews, document technical solutions, identify risks, improve engineering processes, and mentor other engineers while collaborating cross-functionally.

Leads the design, development, deployment, maintenance, and optimization of scalable full-stack software systems. Responsibilities include coding, debugging, code reviews, API development, cloud-native deployment, testing, monitoring, performance optimization, production support, incident response, technical mentoring, and establishing development standards. The role collaborates cross-functionally, drives API-first and AI-enabled engineering practices, and participates in on-call support.

Establishes and operates CI/CD solutions and cloud infrastructure across AWS, Azure, OpenShift, and IBM Cloud. Responsibilities include IAM and security compliance, observability and centralized logging, Jenkins and Travis CI pipelines, Kubernetes and Helm administration, Rancher cluster management, cloud cost optimization, and Terraform-based infrastructure provisioning. The role is fully remote within the United States and requires a bachelor’s degree or equivalent experience plus at least five years of progressively responsible experience.

Develop cloud-native B2B SaaS platform services and user interfaces using C#, .NET, React, databases, and microservices. Responsibilities include architecture and design, hands-on feature development, code reviews, API and third-party integrations, technical documentation, debugging, proof-of-concepts, security and compliance implementation, and technical support. Collaborate within agile scrum teams and with product stakeholders to deliver scalable, secure, maintainable enterprise solutions.

Design and oversee full-lifecycle software development using AI-assisted engineering practices. Define system architecture, APIs, data models, testing strategies, security, reliability, and observability. Direct AI-generated implementation, validate code and tests, manage deployments and incidents, and coach engineers on effective agentic development. Build and operate scalable cloud systems, event-driven services, and customer-facing applications while collaborating with Product and Design.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Designs, develops, maintains, troubleshoots, and enhances enterprise mainframe applications using COBOL, CICS, JCL, DB2, and VSAM. The role includes performance tuning, database optimization, incident and change request management, technical documentation, requirements analysis, and implementation planning. Acts as a technical lead, supports critical applications, works across Agile and waterfall methodologies, and guides junior team members.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Designs and builds scalable backend services for transaction matching, offer ingestion, rewards pipelines, APIs, and partner integrations. Owns features through discovery, implementation, testing, rollout, and documentation. Participates in on-call and incident response, improves reliability and observability, mentors engineers, contributes to architecture, and leads cross-functional technical initiatives. The role uses Go, TypeScript, Postgres, MongoDB, AWS, Terraform, Kubernetes, event-driven systems, and AI-assisted development tools.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.