Top Software Engineer Jobs

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Develop responsive, scalable full-stack software for Redfin’s high-traffic rental search experiences using ReactJS, Java, AWS, and AI. Build user interfaces, data pipelines, and backend services; optimize performance and reliability; balance infrastructure investments with business needs; and collaborate with engineering and product stakeholders while owning features from design through delivery. The role may include an on-call rotation.

Leads and develops a software engineering team delivering mission-critical communications, A-PNT, and secure mesh networking solutions. Responsibilities include people management, resource planning, software architecture, Agile process improvement, DevOps, CI/CD, automated testing, quality assurance, technical risk management, and delivery oversight. The manager coaches engineers, establishes scalable engineering practices, guides architectural decisions, and evaluates AI-enabled development tools while partnering with leadership on staffing and organizational growth.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Build and evolve backend payroll platform services and APIs used by multiple engineering teams. Own a core domain, ensuring correctness, scalability, reliability, performance, and observability. Lead architecture and design decisions, solve ambiguous technical problems independently, and partner with product and engineering teams on platform adoption. Collaborate cross-functionally to deliver compliant payroll capabilities while promoting responsible use of AI-assisted development tools.

Principal Engineer will architect and develop scalable AI/ML-powered search services, cloud-native microservices, APIs, NoSQL platforms, and real-time data pipelines across AWS and Azure. The role leads security, compliance, technology strategy, technical audits, documentation, and engineering standards while mentoring less experienced engineers. Responsibilities include distributed streaming, container orchestration, data modeling, search solutions, and integrating AI/ML models into resilient applications.

Deploy and expand PagerDuty’s SRE Agent within strategic customer production environments. Build reusable agent tools, connectors, and skills; integrate with infrastructure-as-code, GitOps, CI/CD, and observability systems; run customer pilots; resolve adoption blockers; and contribute production code to the core product. Provide architectural guidance, define account roadmaps, evaluate agent capabilities, and help customers progress from AI-assisted incident response to safe autonomous operations.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Design and build Maybern’s Scenario Modeling engine, including projection frameworks, workflow orchestration, and financial data processing pipelines. Lead architecture and development of core systems from the ground up, partner with product experts to create intuitive modeling tools, and launch complex data products. The role requires strong experience with high-volume, near-real-time systems, relational databases, transactions, cloud platforms, and distributed systems.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.