Top Senior Software Engineer Jobs

Designs, develops, tests, deploys, and supports secure enterprise applications and APIs using Python, AWS, PostgreSQL, Django, and REST services. Integrates laboratory, EHR, LIS/LIMS, and enterprise systems using HL7 and FHIR. Participates across the SDLC, troubleshoots production issues, supports HIPAA compliance, contributes to architecture and modernization, mentors developers, conducts code reviews, and advances Agile, DevOps, CI/CD, and automated testing practices.

Lead the architecture and evolution of native iOS foundations supporting seller-facing applications. Identify systemic problems, define platform strategy and standards, build prototypes and reference implementations, lead multi-quarter migrations, and establish practices for quality, testing, observability, release safety, and maintainability. Develop senior engineers and create scalable ownership models across teams.

Design, develop, and support highly scalable distributed systems. Lead architecture and implementation of modular, high-performance microservices. Implement automated testing, CI/CD, observability, and secure coding. Optimize performance and reliability, troubleshoot production issues, conduct code reviews, mentor junior engineers, and drive continuous improvement.

Build a new AI-first CRM platform from the ground up. Own end-to-end feature development across React frontends and Rust backend services, including scalable APIs, responsive interfaces, and integrations with common CRM applications. Collaborate within a small engineering team while delivering clean, maintainable, and scalable software.

Build an AI-first CRM platform from the ground up. Own end-to-end feature development across responsive React interfaces, Rust backend logic, APIs, scalable integrations, and SQL-based systems. Collaborate within a small engineering team to deliver clean, maintainable, high-performance software.

Build and own features for an AI-driven life sciences SaaS platform, from design and development through deployment, production support, and maintenance. Collaborate with product and engineering teams, solve complex technical problems, establish coding and AI-assisted engineering practices, conduct code reviews, and mentor engineers. The role requires production Python development, enterprise SaaS scalability expertise, and experience building high-volume cloud applications.

Build an AI-first CRM platform from the ground up as a full-stack engineer. Own end-to-end feature development, create responsive React interfaces, develop scalable backend logic and APIs in Rust, and build integrations with common CRM applications. Collaborate within a small engineering team while delivering clean, maintainable, high-performance software.

Lead the design, implementation, and support of healthcare data integrations and pipelines. Build internal tools and data abstractions, improve integration scalability and quality, mentor engineers, establish best practices, and collaborate with product, delivery, platform, and support teams. Apply rigorous software engineering practices including automated testing, CI/CD, version control, and observability while advancing data semantics, claims processing, cataloging, and lineage.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for M365 data and APIs. Lead features from concept through launch, write reusable code, estimate and decompose work, support on-call operations, improve reliability and scalability, and mentor teammates. The role requires enterprise software engineering experience, backend programming, API and microservices expertise, AI/ML familiarity, cloud platform knowledge, and Microsoft Cloud background screening.

Own cross-business-unit architecture for core financial products, defining domain boundaries, service contracts, and shared-system roadmaps. Lead architecture reviews, document decisions, reduce complexity, and partner with platform and engineering leaders. Use AI tools and establish responsible AI-assisted development practices. Mentor senior engineers, support hiring, and influence product, risk, and leadership stakeholders in a regulated fintech environment.

Lead the design, development, and technical strategy of scalable APIs, microservices, and embedded finance systems. Establish architecture and engineering standards, mentor developers, oversee testing and CI/CD, improve observability and reliability, lead incident response, and deliver secure, compliant software. The role requires hands-on development across C#, .NET, Azure, event-driven architectures, and financial services platforms, with collaboration across product and engineering teams.

Design, architect, develop, and deploy scalable software systems, APIs, integrations, and AI-enabled applications. Lead technical design decisions, architecture reviews, roadmaps, and engineering best practices while mentoring engineers. Collaborate with global teams, semiconductor experts, product groups, and customers. Support proof-of-concepts, technical workshops, deployments, CI/CD, testing, and adoption of AI technologies such as LLMs, RAG, and intelligent workflows.

Develop and maintain SimWB real-time hardware-in-the-loop simulation software, including I/O support, device integration, testing, release packaging, documentation, and customer issue resolution. The role involves C and C++ development on real-time Linux, hardware/software debugging, automation scripting, code reviews, and mentoring junior engineers.

Develops and owns scalable personalization software on GCP using Java and Python. Designs cloud-native, microservices, batch, real-time data processing, and distributed systems; writes code and tests, performs architecture and code reviews, supports application availability, and collaborates with product owners. Drives agile engineering practices, technical planning, continuous improvement, innovation, and mentorship across enterprise platforms.

Develop and integrate embedded and test software for the HIMARS Common Fire Control System. Responsibilities include designing real-time software, interfacing with hardware and communication buses, debugging across drivers and application layers, conducting hardware-in-the-loop testing, and collaborating with systems, hardware, and test engineers in an Agile environment.

Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.

Lead the architecture, development, deployment, and operation of customer-facing applications, e-commerce and member experiences, APIs, integrations, and marketing technology. Connect HubSpot, Contentful, RudderStack, CRM, commerce, and data platforms while ensuring reliable identity, consent, analytics, testing, observability, and security. Translate SEO and AI-visibility strategies into technical capabilities, build AI-enabled marketing workflows, and mentor engineers. Partner with marketing, data, and platform teams while owning delivery from discovery through production support and continuous improvement.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Develop and maintain scalable, highly available software across the full SDLC. Lead design, implementation, testing, deployment, monitoring, and maintenance of backend services and major features. Contribute to architecture, performance, quality, and system scalability; resolve systemic issues; document requirements; and support customer needs. Mentor engineers, lead technical breakdowns, participate in Agile practices, and work with cloud platforms, messaging systems, machine learning, and distributed data technologies.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Design, build, and operate large-scale L4/L7 gateway and ingress systems for Microsoft traffic. Responsibilities include protocol handling, TLS, HTTP/2, gRPC routing, resiliency, regional failover, DDoS mitigation, tenant isolation, observability, performance tuning, incident response, and Azure edge integration. The role requires hands-on coding in C# and Go, production ownership, on-call participation, and collaboration across Dynamics 365, Power Platform, and Agent 365 teams.

Lead technical strategy and architecture for Microsoft Dataverse’s globally distributed, AI-enabled cloud services. Build and operate scalable microservices, resolve complex production issues, drive reliability and security, and deliver high-quality code. Provide cross-team technical leadership, mentor engineers, guide applied AI system development, and translate customer needs into multi-release platform investments.

Set technical direction and own architecture for core Agent 365 platform components. Design and deliver fault-tolerant, cell-based distributed systems using Azure and AKS. Lead complex cross-service investigations, improve reliability and operational excellence, align partner teams, establish engineering standards, and mentor senior engineers across Microsoft’s agent infrastructure ecosystem.

Lead end-to-end engineering projects for AI-powered pipeline generation, including business data ingestion, enrichment, prospect discovery, agentic workflows, automated outreach, and customer-facing experiences. Design scalable, observable systems, mentor engineers, shape product direction, collaborate with customers, establish engineering practices, and contribute to recruiting and team development.