Top Senior Software Engineer Jobs

Build and operate internal software, platform services, developer tooling, Kubernetes infrastructure, and reproducible Nix environments. Develop Go and Rust automation, improve CI/CD and reliability, support Linux systems, networking, identity, endpoints, and SaaS platforms, and resolve ambiguous technical problems independently. Partner across engineering, security, operations, and business teams while mentoring engineers and shaping technical direction.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Leads a development team building a classification marking tool for an ICAM Zero Trust program. Responsibilities include providing technical guidance, enforcing code quality, managing project progress, demonstrating solutions, communicating risks, supporting user acceptance testing, maintaining configuration management, preparing deployment packages and documentation, and coordinating customer and software delivery activities.

Develop and maintain end-to-end full-stack software solutions in an agile environment. Design, modify, test, deploy, debug, and monitor applications across UNIX and Linux systems. Build interfaces with third-party products, enhance existing code, resolve complex workflow problems, and collaborate cross-functionally on architecture and system improvements. The role also involves supporting APIs, DevOps practices, automated testing, and software solutions for potentially classified environments.

Develop, test, integrate, and deploy software capabilities across complex systems supporting geospatial intelligence and defense missions. Collaborate with systems engineers, administrators, testers, and stakeholders in Agile ceremonies and release planning. Create documentation and user manuals while applying modern programming languages, microservices, web frameworks, containerization, continuous integration, and cloud technologies. The role requires GEOINT, SIGINT, or IMINT knowledge and an active Top Secret clearance with eligibility for SCI access and willingness to obtain a CI polygraph.

Design, develop, test, and maintain scalable full-stack applications using React, Python, and Google Cloud. Build APIs, microservices, ETL pipelines, AI/ML features, and responsive user interfaces. Optimize database interactions, troubleshoot performance issues, participate in code reviews, and collaborate with product stakeholders in an Agile environment.

The Principal Software Engineer will serve as the technical expert for software supporting manufacturing and test equipment in a high-volume defense production environment. Responsibilities include resolving real-time factory-floor software issues, optimizing production processes, improving build and test software reliability, and integrating software with manufacturing systems. The role requires hands-on collaboration with production teams and expertise in C/C++, with embedded programming, algorithm development, and software verification experience preferred.

Lead software engineering for secure, scalable, production-grade applications in an agile enterprise environment. Design complex solutions and architecture, develop Java microservices and REST APIs, improve reliability through automated testing and CI/CD, analyze system data, and build reusable components. Guide responsible adoption of AI-assisted engineering tools, coach team members on secure validation practices, troubleshoot complex issues, and deliver high-throughput distributed systems across cloud-native platforms.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Designs and leads development of scalable enterprise software, distributed systems, microservices, APIs, backend services, batch-processing systems, and data workflows. Provides technical leadership in architecture, integration, cloud development, security, performance, testing, deployment, and modernization. Collaborates with stakeholders and DevOps teams, participates in code reviews, supports production environments, troubleshoots issues, improves reliability, and mentors engineers across distributed teams.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Leads software engineering projects and developers building cloud-based, full-stack solutions using distributed microservices and modern technologies. Collaborates with product managers, mentors engineers, drives regulatory solutions, and evaluates emerging technology trends. The role requires expertise in programming languages, databases, container orchestration, cloud platforms, Agile practices, and people management.

Lead diverse technology projects and software developers building distributed microservices and cloud-based solutions. Collaborate with product managers, deliver robust systems supporting regulatory needs and customer experiences, mentor engineers, evaluate code, and stay current with technology trends. The role uses multiple programming languages, open-source databases and frameworks, container orchestration, and cloud services including AWS.

The role involves developing cloud-based contact center solutions, integrating AI technologies, maintaining SIP applications, and implementing CI/CD processes while ensuring security and compliance.

Design, develop, and deploy resilient, low-latency microservices and event-driven solutions for Zscaler’s cloud security control plane. Own services from API tiers through backend systems, modernize platforms using API-first architecture, maintain coding quality through reviews and TDD/BDD, and collaborate with Product, DevOps, and architecture teams. Use Docker, Kubernetes, cloud platforms, distributed data patterns, databases, and AI-powered engineering tools to build scalable systems.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Own a major product surface, write and review production code, make long-term architecture and build-versus-buy decisions, and maintain high correctness standards. Collaborate directly with founders on roadmap, improve evaluation systems, and optionally lead a small engineering pod through code reviews, one-on-ones, and technical mentorship. Work involves ambiguous problem definition, end-to-end system ownership, and potentially LLM-powered platforms, cloud infrastructure, compliance-aware design, and internal engineering tools.

Leads software engineering for private cloud infrastructure, designing, developing, testing, troubleshooting, and maintaining secure, resilient production systems. Reviews code, improves automation and operational stability, applies DevOps and SRE practices, and promotes responsible AI-assisted development. Evaluates vendor and internal architectural solutions while coaching teams on secure, compliant AI tool adoption and software delivery standards.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

The Senior Software Developer leads a team in creating end-to-end solutions using full stack development methodologies, with a focus on software systems and enhancements.

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.

Design, develop, test, deploy, maintain, and debug software solutions. Propose technical solutions for complex business needs, produce technical documentation, and support release management while aligning work to customer focus and risk management practices.

Designs and develops software solutions, writes/tests/deploys code, prepares technical documentation, debugs and maintains applications, proposes designs for complex business needs, and follows SDLC and release practices.

Lead the design, development, testing, and optimization of large-scale data pipelines and cloud-native data platforms. Build Python and PySpark applications, manage ETL workflows, Snowflake environments, data lakes, and AWS services, and promote secure engineering, CI/CD, automated testing, and responsible AI-assisted development. Mentor engineers, participate in code reviews, and lead technical delivery initiatives.