Top Software Engineer Jobs

Develop and maintain scalable full-stack web applications, including front-end and back-end components, testing, authentication, third-party integrations, and secure coding. Manage CI/CD pipelines, cloud deployments, monitoring, version control, and documentation. Collaborate with cross-functional teams, troubleshoot defects, mentor developers, and lead software development teams supporting large-scale government cybersecurity capabilities.

Leads ServiceNow platform strategy, team management, Agile delivery, technical architecture, governance, administration, upgrades, integrations, and operational improvement. Mentors developers and administrators, oversees releases and sprint execution, manages technical debt and platform risks, collaborates with architects and stakeholders, and aligns roadmaps with business priorities. The role also manages vendors, licensing, deployment governance, instance operations, and automated testing.

Leads and mentors full-stack engineers while owning the technical roadmap and delivery of a payments and billing platform. Designs React, .NET, and SQL features; manages Stripe integrations, payment reliability, reconciliation, processor migrations, compliance, observability, testing, and incident readiness. Partners with product and engineering stakeholders, modernizes legacy systems, drives AI coding assistant adoption, and remains hands-on with architecture, code reviews, and complex money-movement problems.

Build and own full-stack business automations across recruiting, security, compliance, finance, operations, and go-to-market workflows. Develop AI-assisted tools, integrations, APIs, internal services, customer lifecycle automations, and user-facing features using React, Python, APIs, and LLMs. Partner with founders and cross-functional teams to convert manual processes into scalable systems in a fast-paced startup environment.

Leads distributed Digital and Enterprise engineering organizations, setting technology strategy, architecture, investment roadmaps, AI-enabled SDLC practices, and operational standards. Develops engineering leaders, aligns product and business priorities, manages budgets and vendors, and ensures software quality, security, reliability, and peak-season readiness. Partners with executives to resolve tradeoffs, improve delivery predictability, and drive measurable business outcomes across digital commerce and enterprise systems.

Leads database management and Tier II/III support across Oracle and SQL Server environments. Oversees database modernization, cloud migrations, Exadata systems, security compliance, infrastructure, middleware integration, scripting, application releases, troubleshooting, testing, and documentation across domestic and overseas Department of State locations.

Own and improve developer productivity through Bazel build infrastructure, CI reliability, developer tooling, reproducible environments, and streamlined engineering workflows. Optimize builds and tests across Linux, macOS, and GPU-enabled containers. Build internal tools as products, collaborate with robotics and research teams, and measure improvements in development velocity, onboarding, reliability, and troubleshooting.

Lead a small engineering team while building production-grade frontend and backend systems. Design GraphQL and REST APIs, develop React and Node.js applications, support data ingestion and ETL workflows, and own cross-domain technical initiatives. Drive Agile execution, delivery tracking, architecture, testing, performance, and engineering quality. Mentor engineers, collaborate with Product stakeholders, and use AI-assisted development tools to improve delivery efficiency.

Early senior engineer who will define technical direction, own core full-stack platform architecture, build AI-powered multi-modal systems (voice, text, email), make infrastructure and tooling decisions, mentor engineers, and work directly with customers to ship solutions quickly.

Own and ship deepfake-detection product features spanning UI, APIs, workflows, and operational tooling. Build and support secure, observable customer deployments across Linux, Kubernetes, and private-cloud environments. Use GenAI tools for debugging, configuration, log analysis, documentation, and deployment support while maintaining correctness. Partner with enterprise customers and internal teams to deliver reliable integrations and production-ready services.