Top Software Engineer Jobs

As a Software Engineer at Numeric, you'll develop and scale the financial data platform, focusing on automation, reporting, and transaction monitoring, while contributing to product strategy and user-centric solutions.

Drive technical leadership for ML-driven distributed systems at Chewy. Collaborate with cross-functional teams and mentor engineers in scalable software design, ensuring system excellence.

Build and own end-to-end full-stack systems for AI-powered agentic trading across web and React Native mobile. Implement real-time, low-latency UIs and Go backend services, integrate streaming AI/ML features and market data, drive architecture and code quality, and collaborate with AI/ML, design, and product teams to ship production-ready features used by millions.

Design, implement, and operate distributed, database-backed storage services and versioned APIs; lead medium-sized features end-to-end; remain hands-on in Go/C++ to debug and improve reliability, performance, and security; coordinate across product, SRE, security, and platform teams; act as production escalation lead, run postmortems, and mentor junior engineers.

Design, develop, and maintain scalable payment-related software and automation frameworks. Build automated tests (unit, integration, API, UI, end-to-end), integrate checks into CI/CD, support performance, security, observability, and production readiness, participate in design reviews, troubleshooting, incident analysis, and continuous improvement in an Agile environment.

Design, implement, test, deploy, and monitor scalable backend services and high-availability processes. Lead architectural decisions, mentor junior engineers, drive feature lifecycles, improve code quality and testability, and respond to customer issues. Contribute to Agile planning and documentation across domains while addressing performance, scaling, and systemic problems.

Technical lead for front-end development building a new product: design and implement features, improve frontend systems and developer experience, drive performance/reliability and monitoring, build developer frameworks, perform and lead code reviews, and mentor engineers while collaborating with product, design, and backend teams.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Lead backend engineer responsible for system-level design, implementation, and ownership of low-latency, high-reliability trading and market-data backend systems. Translate business needs into technical designs, write production-ready code, design schemas and integrations, lead reviews, reduce technical debt, and support production while establishing engineering standards and observability.

Lead design and implement AI-powered fullstack/frontend features and UI frameworks for an enterprise Generative AI assistant. Architect web stacks (auth, event tracking, platform, design systems), promote best practices, collaborate with product and ML teams, and scale product adoption across customers and markets.

Build and own runtime infrastructure for agentic AI: orchestrate long-running agent sessions, manage distributed session state and leases, implement event-driven pipelines, ensure observability and tracing, and optimize caching and storage for low-latency, scalable production systems.

Architect and build AI-native, large-scale distributed systems for ITSM/ITOM products. Lead technical strategy, prototype and validate architectures, drive evidence-based experiments, establish patterns and best practices, mentor senior engineers, and collaborate across teams to deliver reliable, observable, and cost-effective agentic automation and operational intelligence.

Build and own distributed runtime infrastructure for agentic AI: session orchestration, lease-based distributed session management, event-driven pipelines, structured concurrency, observability, caching and state layers to support low-latency, correct, long-running agent workflows at scale.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.

Build end-to-end developer-facing features across the full stack (React UIs, backend APIs, platform services). Own product surfaces like tooling, onboarding, debugging, and observability. Prototype quickly, validate with developers, iterate, and ship production-quality experiences while collaborating with product, design, and ML engineers.

Build and own runtime infrastructure for agentic AI: orchestration engine, distributed session management, event-driven pipelines, structured concurrency, observability, and caching/state layers to support long-running, low-latency agent sessions at scale.

Founding staff engineer to design and build a cloud-native forecasting and planning platform. Architect and implement full-stack apps (React/TypeScript, Node/Express), integrate with Trino/dbt/Iceberg, deploy on Kubernetes, create data pipelines with Argo, optimize large-scale queries, build UIs for financial workflows, and lead technical direction to deliver an MVP in 3 months and production in 6 months.

Design, develop, and maintain complex software systems; lead architecture and code reviews; guide cross-disciplinary teams; create tools and solutions; ensure integration, reliability, and performance; act as technical expert and customer-facing representative on high-impact projects.

As a Senior Software Engineer, you'll implement collaboration features, support team architecture, work across tech stacks, and improve developer experience.

The Staff Software Engineer will lead full-stack initiatives, improve system quality, drive technical direction, and mentor peers in a collaborative environment.

Build and operate backend systems for agentic AI that analyze large-scale time-series telemetry. Own product features from customer discovery through deployment: APIs, distributed job execution on Kubernetes, sandboxed code execution, context management, observability, model integration, and evaluation suites.

Lead a team building scalable, cloud-based messaging and marketing platforms. Design, develop, test, and implement backend solutions using AI/LLMs and modern cloud infrastructure. Mentor engineers, conduct code reviews, and drive technical direction across large-scale projects to deliver personalized omnichannel experiences.

Lead a portfolio of technology projects and a team building distributed microservices and full-stack systems to meet regulatory needs. Collaborate with product managers to deliver cloud-based solutions, mentor engineers, evaluate and occasionally write code, and leverage Java, Python, Go, Scala, Node.js, SQL, Docker, Kubernetes, and AWS services.

Lead a team designing and delivering cloud-native, AI-enhanced messaging and personalization platforms. Drive architecture, backend microservices, LLM and AI integrations, cloud deployments (AWS/GCP/Azure), mentor engineers, perform code reviews, and ensure scalable, maintainable solutions for omnichannel messaging.

Lead a team building cloud-based full stack, microservices solutions; collaborate with product managers; mentor engineers; use multiple languages, databases, containers, and AWS tools to deliver secure, scalable experiences that meet regulatory and customer needs.