Top Senior Software Engineer Jobs

Assess business requirements and existing systems, design and document solutions, define development approach, mentor developers, perform code reviews and NUnit testing, ensure alignment with enterprise standards, work with infrastructure architects, and resolve architectural issues to deliver quality solutions on schedule.

Develop and test Windows applications and reference apps for wearable devices. Create test strategies, write and execute unit/white-box/integration tests, automate testing, collaborate with global teams, and improve testing processes and SDLC practices.

Design, develop, document, test, and deploy ASP.NET/C# three-tier enterprise web applications. Implement unit and automated integration tests, work in a CI environment, refactor code, and participate in Agile/Scrum development.

Assess business requirements and existing systems, design and document solution concepts and architectures, define development approach and SDLC deliverables, mentor developers, perform code reviews, liaise with infrastructure teams, resolve architectural issues, and ensure solutions align with enterprise standards and deliverables.

Build and maintain a developer platform that scaffolds configured codebases; design abstractions, infrastructure integrations, and AI-assisted workflows. Deliver scalable, secure backend services across Kotlin/Java, Python, and TypeScript, own architecture decisions, lead reviews, triage production issues, and embed CI/CD and data quality practices.

Lead full‑stack design and architecture using .NET/C#/Angular and cloud (GCP/Azure). Collaborate across teams, ensure quality, testing, security, documentation, troubleshoot production issues, mentor engineers, and adopt AI tools to improve performance and processes.

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.

Lead architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

Architect and build core backend components of the vCluster platform by working deeply with Kubernetes internals. Write high-performance Go code, take end-to-end ownership from design to release, contribute to open-source projects, and solve complex systems and multi-tenancy problems for GPU and Kubernetes-based infrastructure.

Build and own foundational data infrastructure for Member Marketing and Coverage Eligibility: define data contracts, ensure identity and lineage, implement observability and reconciliation, modernize file/API integrations, design for correctness and auditability in regulated workflows, and lead cross-functional delivery and technical standards.

Design and implement core, high-performance services for an enterprise-scale AI policy engine. Own architecture and APIs, make tradeoffs across correctness, consistency, availability and latency, and work across stack from data models to product surface to ensure auditable, reliable governance under concurrent load.

Design, develop, test, and maintain a mission-focused enterprise web application in a containerized Kubernetes/Linux environment. Collaborate with product and system engineers to implement scalable, secure services using Python, Bash, Docker, Helm, SQL, REST, and CI/CD.

Lead full-stack development for an AWS-based product: design and implement backend, data, and web UI; integrate external APIs and AI/ML features; collaborate cross-functionally; improve architecture and engineering practices; mentor teammates and deliver high-quality, production-ready code.

Design and implement pixel-perfect, high-performance web applications from wireframes to production. Collaborate with designers, PMs, and engineers, iterate on architecture and best practices, explore AI/ML integrations, and contribute to a collaborative engineering culture.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Build and own large, scalable backend and frontend features enabling secure, cross-organizational collaboration. Design permission systems, data-sharing controls, and secure collaboration frameworks. Work cross-functionally with product, design, and deployment teams, ship production-grade code, and iterate with users to solve complex, high-scale data ingestion and real-time collaboration problems.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Lead and deliver large, production-grade software features across backend, frontend, and ML infrastructure. Mentor engineers, drive technical decisions, collaborate with product and design, and ensure scalable, well-tested systems that serve public safety customers.

Build and maintain scalable, user-centered backend and frontend systems. Design permission and secure collaboration frameworks for cross-organizational data sharing. Own major features end-to-end, work with product and design, iterate with deployment and users, and solve high-scale distributed system challenges.

Lead technical and people-focused work building scalable, reliable backend and frontend systems. Own major features end-to-end, mentor engineers, collaborate with design/product/deployments, and drive architecture and implementation for real-time collaboration, high-scale ingestion, and ML-enabled features.

Senior Software Engineer to design and build scalable, user-centered backend and frontend systems. Responsibilities include architecting permission systems, secure cross-organizational collaboration, high-scale data ingestion, and working cross-functionally to deliver production-grade, well-tested features.

Lead and mentor engineering teams to design, build, and ship scalable, production-grade software. Own major features, drive technical decisions, collaborate with product and design, and ensure reliable distributed systems supporting real-time collaboration, high-scale data ingestion, and ML-powered features.

Hands-on Tech Lead to own full-stack systems end-to-end, set engineering standards, mentor engineers, drive releases, build AI/LLM-enabled products, and collaborate across teams to deliver secure, reliable software for federal customers.

Build and own full-stack features for an internal care navigation product using React and NodeJS. Partner with Product and Operations, monitor production (metrics, logs, Sentry), ship end-to-end, and adopt AI-assisted workflows to improve velocity and quality. Drive reliability, iterate on customer-facing operational tools, and raise engineering standards in a fast-moving startup.

Senior front-end engineer responsible for developing products end-to-end, owning projects from concept through launch, and shaping company direction to drive growth across portfolio companies.