Top Senior Software Engineer Jobs

Lead design, architecture, development, and support of full-stack applications using Angular, C#/.NET APIs, and SQL Server. Provide technical leadership, mentor engineers, drive front-end and API architecture, optimize database performance, partner with stakeholders to translate requirements, and lead modernization, DevOps, and incident resolution efforts.

Build and operate Ziplines maps infrastructure and data pipelines to serve geospatial data and map-driven services for human workflows and autonomous systems. Own end-to-end ingestion, processing, validation, APIs, and production reliability at large scale, collaborating across autonomy, routing, simulation, and operations.

Design and develop software to integrate medical devices with EMR/Hospital Information Systems using HL7 and DICOM. Select appropriate architectures, implement solutions in C#/C++/.NET, and follow SDLC best practices. Work with medical device data and hospital systems; cloud experience is a plus.

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 the architecture and technical direction of VuMedi's platform, focusing on scalable systems and AI-driven solutions. Collaborate with cross-functional teams, mentor engineers, and define architectural standards.

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.

Provide end-to-end production support and develop/customize Oracle E-Business Suite solutions (RICE components). Build PL/SQL, stored procedures, Oracle Reports, XML Publisher, OAF UI customizations, OIC integrations, and Shell scripts. Collaborate with analysts and architects, support SDLC, troubleshoot issues, and train users.

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.