Top Senior Software Engineer Jobs

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Lead architecture, design, and implementation of scalable enterprise platform systems. Provide technical direction, collaborate with product and engineering teams, support Agile delivery, conduct code reviews, champion testing and continuous integration, prototype solutions, and mentor developers. The role focuses on improving platform performance, reliability, developer productivity, and safe integration with AI agents.

Design, build, optimize, and operate highly available distributed platform services. Develop high-concurrency code, improve CI/CD and GitOps automation, deploy containerized workloads, diagnose performance bottlenecks, optimize databases and caching, conduct load testing, support production operations, and mentor engineers on scalable, reliable software design.

Develop and scale highly reliable application software used across SpaceX. Responsibilities include creating operational applications, prototyping designs, owning software engineering and product development, solving user problems, and contributing to architecture, design, and code reviews. The role focuses on full-stack development, distributed systems, manufacturing software, satellite-network applications, testing, deployment, monitoring, and performance optimization. This is an onsite position that may require extended hours or weekends based on launch schedules.

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

Own the design and delivery of customer-facing software across front-end and API layers. Set product direction, architect integrated applications, gather user feedback, iterate rapidly, and address infrastructure needs. Mentor teammates and establish engineering practices during company growth. The role requires strong software engineering experience, full-stack expertise, product judgment, adaptability, and willingness to work onsite five days per week.

Design, build, and operate highly scalable observability infrastructure for logging, metrics, tracing, and telemetry pipelines. Develop reliable services supporting GPU clusters, petabyte-scale telemetry, and high-cardinality workloads. Improve performance, security, and reliability through software development and automation, participate in on-call support, collaborate with engineering teams, and shape observability platform strategy.

Build and maintain software spanning embedded edge devices and scalable AWS cloud services. Develop Python backend systems, support Raspberry Pi environments, integrate hardware with cloud services, monitor performance, troubleshoot production issues, and contribute across infrastructure and hardware testing. The role values strong debugging, clean code, and adaptability across systems.

Architect and develop Packet Forwarding Features for PTX Series Routers, engage with customers, work with test teams, and sustain existing features.

Engineer scalable cloud-based solutions for research and investment platforms. Modernize workflows using APIs and cloud technologies, develop and maintain applications, systems, databases, and infrastructure, and participate throughout the software development lifecycle. The role focuses heavily on Workday integrations, module configuration, APIs, analytics, reporting, secure file transfers, production support, SDLC management, and Workday upgrades.

Develop and maintain high-performance storage software across Linux, FreeBSD, and PlayStation OS, including file systems, block-layer functionality, and I/O paths. Diagnose correctness, reliability, and performance issues across kernel and user-space components using low-level debugging and profiling tools. Optimize storage workloads, write tests and documentation, and collaborate with systems and kernel engineers. Preferred experience includes UBLK, io_uring, DMA, Rust, and open-source storage contributions.

Designs, builds, and owns production-grade full-stack services and UI features for Finastra’s Azure-hosted lending platform. Responsibilities include developing C#/.NET and Angular applications, REST APIs, background services, event-driven integrations, secure and testable code, and CI/CD pipelines. The role contributes to architecture, technical documentation, code reviews, and system operational readiness while mentoring engineers. Daily use of GitHub Copilot and AI agents is expected, with strong judgment applied to all generated output.

Leads backend software engineering projects, coordinates engineers, assigns technical work, makes complex technical decisions, improves engineering processes, establishes standards, and represents PayPal with external partners. The role requires balancing competing priorities while delivering customer, operational, and service objectives.

Build, deploy, and maintain production software that improves robotics operations. Develop internal tools, dashboards, automations, and integrations; learn and contribute to an Elixir-heavy system and Google Cloud applications. Partner with Operations and Engineering to discover workflow improvements, validate AI-assisted code, improve reliability, and support applications after launch.

Administer, maintain, monitor, and support a secure, highly available Kubernetes PaaS running on Linux infrastructure. Troubleshoot workloads, networking, storage, ingress, and performance issues; develop Bash and Python scripts; manage Docker or Podman containers; create Helm charts; apply infrastructure-as-code with Ansible; and use Prometheus, Grafana, and Git to maintain platform reliability, scalability, and compliance.

Maintains, troubleshoots, upgrades, and integrates containerized applications deployed in Kubernetes and Linux environments. Develops software and automation using Python, Java, Bash, PHP, and Ansible; manages CI/CD workflows with GitLab and source control with Git. Supports mission services, documents configurations and system changes, assists external customers, and may provide training. Requires extensive COTS/GOTS integration experience and an active Top Secret/SCI clearance with favorable polygraph.

Owns software features from concept through delivery, building and enhancing customer, supplier, and internal business applications across frontend and backend systems. Partners with stakeholders to translate business needs into maintainable solutions, investigates production issues, contributes to architecture and engineering improvements, and leads projects or features. The role requires strong .NET, database, microservices, cloud, messaging, and modern software development experience, along with mentoring and cross-functional collaboration.

Leads design, development, testing, troubleshooting, and production delivery of scalable Java-based financial technology solutions. Builds resilient microservices using Java, Spring Boot, Kafka, React, AWS, and Kubernetes; manages unit, SIT, and UAT testing; supports clearing and settlement functions; and promotes secure, responsible AI-assisted engineering practices, automation, code quality, and operational stability.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Designs, develops, tests, troubleshoots, and implements complex Java software capabilities. Builds enterprise APIs, RESTful services, and microservices while using modern frameworks, configuration management, Linux, and Agile practices. Integrates AI coding agents for feature development, refactoring, testing, and code review across complex repositories. Collaborates with engineering teams in a hybrid Columbia, Maryland or Fort Meade environment and maintains awareness of emerging technologies.

Leads design, implementation, deployment, and operation of software and infrastructure for Azure AI services in air-gapped and sovereign cloud environments. Works across codebases, networking, identity, and infrastructure; builds automation, deployment tooling, observability, and release validation; troubleshoots complex production issues; participates in on-call rotations; mentors engineers; and coordinates cross-team technical delivery for secure government workloads.

Design and build scalable, secure, highly available distributed services and developer tools for Microsoft's API Management and AI Gateway platform. Responsibilities include system architecture, coding, deployment, reliability engineering, incident response, technical strategy, platform development, and cross-team collaboration. The role focuses on AI application workloads, cloud services, automation, and production-grade software operating at global scale.

Set technical direction for Hike Medical’s platform spanning clinical software, AI agents, and manufacturing. Design core architecture connecting systems, lead complex initiatives involving integrations and healthcare data infrastructure, establish reliability, security, and compliance standards, write production code, mentor engineers, and collaborate with product and design. The role requires deep backend, distributed systems, and data modeling expertise in a fast-paced, fully in-person environment.

Build and operate telemetry and observability services across distributed Azure platforms, improving data quality, resilience, ingestion, querying, performance, privacy, and cost efficiency. Develop AI-assisted diagnostics and MCP integrations, support incident response and on-call operations, partner with service teams, improve instrumentation, and mentor engineers.