Top Software Engineer Jobs

Designs and develops highly available cloud services for AI inference workloads. Responsibilities include building Kubernetes controllers and platform capabilities for deployment, scheduling, scaling, recovery, upgrades, observability, and lifecycle management. The role leads production readiness reviews, resolves complex infrastructure issues, improves reliability and performance, drives architecture and design reviews, mentors engineers, and influences technical direction across teams.

Build and operate blockchain network infrastructure integrating protocols such as Bitcoin and Ethereum with internal services. Design reliable APIs, SDKs, data contracts, observability, and SLOs; lead multi-quarter chain integrations, architecture modernization, and migrations. Improve latency, reliability, and cost for high-throughput distributed systems while owning production services and on-call responsibilities.

Design and develop secure, scalable Java and Spring Boot microservices and APIs for Mastercard’s global B2B payments platform. Translate business requirements into maintainable solutions, integrate databases and third-party systems, apply AI-assisted development tools, and improve security, performance, reliability, and observability. Participate in Agile engineering practices, troubleshoot production issues, contribute to architecture and technical decisions, and mentor other engineers. This is a hybrid role requiring three days onsite in Arlington, Virginia.

The Senior Software Engineer will develop native Android applications for drone control, bridging C++ libraries with the Android application layer, and mentor other engineers on best practices.

Lead complex backend engineering initiatives from ambiguous problem definition through production. Architect scalable, reliable systems supporting AI-driven workflows, real-time inference, tool orchestration, and long-running processes. Build new systems, evolve existing architecture, make technical decisions, and own testing, deployment, observability, and operations. Partner with product and design, provide technical leadership, mentor engineers, and raise engineering standards while remaining hands-on in implementation.

Designs, develops, and owns high-performance cross-platform software for semiconductor test systems. Responsibilities include modernizing legacy platforms, developing applications, drivers, test programs, SCAN and vector pipelines, distributed telemetry systems, and communication interfaces. The role collaborates with cross-functional engineering teams, supports customer deployments, documents and reviews production software, and requires occasional domestic and international travel.

Lead the architecture, technical evolution, and hands-on development of a mission-critical software platform using Java, C++, and AI/ML technologies. Responsibilities include software design, coding, debugging, code reviews, testing, CI/CD, performance optimization, security, technical planning, customer troubleshooting, deployment support, documentation, and engineering leadership. The role requires occasional customer travel and may support critical incidents outside normal business hours.

Build and maintain scalable, reliable full-stack product features for AI-powered CRM experiences. Own projects end to end, develop observability and performance metrics, lead technical design discussions, mentor engineers, conduct code reviews, establish engineering standards, and collaborate with product leaders to translate customer problems into technical solutions. Contribute to recruiting and building a high-performing engineering team.

Build and operate full-stack applications, backend services, SDKs, APIs, and product integrations for Shield AI’s shared services platform. Own solutions from design through production support, establish secure and reliable interfaces, collaborate with product and engineering teams, and contribute to architecture and technical direction. Work includes authentication, telemetry integrations, customer-facing portals, reusable capabilities, and public APIs.

Lead cross-functional Treasury engineering projects, define product architecture, build customer-facing and internal financial experiences, and manage systems supporting billions in customer funds. Collaborate with product, design, operations, compliance, banking, and risk teams. Own product outcomes, mentor engineers, and deliver reliable backend-to-frontend solutions for onboarding, portfolio recommendations, dashboards, and tooling.

Build end-to-end software products that transform ultraspectral sensing data, geospatial information, and AI outputs into customer-facing intelligence applications. Develop React interfaces, Python backend services, APIs, data integrations, and geospatial workflows. Deploy and operate reliable AWS services while maintaining testing, observability, performance, documentation, and production support. Collaborate with product, design, AI, infrastructure, and users to deliver capabilities from concept through deployment.

Develop and enhance primarily front-end financial and benefits products using React, JavaScript, TypeScript, and Node.js. Build scalable web applications, APIs, integrations, and infrastructure; contribute to product requirements; write automated tests; troubleshoot production issues; and support secure, high-availability systems. Collaborate cross-functionally in an agile environment while working with databases and cloud technologies.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Lead the architecture, development, and delivery of Microsoft Fabric application development capabilities, including GraphQL APIs, user data functions, AI-powered developer experiences, and scalable runtime services. Build and optimize reliable cloud software, collaborate across organizational boundaries, use customer feedback and telemetry to improve products, participate in live-site operations, mentor engineers, and drive technical strategy for developer-focused platform capabilities.

Lead architecture and development of Beacon’s backend Datastore platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, clinical-data access controls, and warehouse snapshot pipelines. Design scalable systems, tune queries, operate production infrastructure, lead RFCs, debug cross-system issues, mentor engineers, and collaborate with scientific, clinical, product, and engineering stakeholders.

Design, develop, and deploy high-performance distributed optimization, data, and simulation systems. Collaborate with cross-functional teams, resolve data quality and production issues, write maintainable code with TDD, unit tests, and CI/CD, and advocate engineering best practices.

Owns Linux kernel engineering for Fastly’s global edge network, including kernel development, networking, XDP/eBPF, hardware enablement, performance, debugging, upstreaming, and fleet-scale production operations. The role leads technical projects, manages kernel releases and staged rollouts, resolves production incidents, improves observability and reliability, collaborates across teams, and mentors engineers while participating in on-call rotation.

Designs and builds globally scalable, highly available orchestration platforms, monitoring systems, and engineering frameworks. Provides architectural leadership, mentorship, code and design reviews, and technical standards across engineering teams. Uses statistical analysis to diagnose performance regressions and optimize infrastructure resources. Leads large-scale projects from inception through production, makes strategic build-versus-buy decisions, reduces technical debt, and partners cross-functionally with Product, Data Science, and Operations.

Senior Software Engineer developing and deploying production-grade software in a cross-functional Agile team. Responsibilities include solving complex technical problems, designing scalable and reliable solutions, contributing to coding standards, debugging, testing, stakeholder collaboration, process improvement, and mentoring engineers. The role emphasizes .NET, C#, React, React Native, AWS cloud development, relational databases, SQL, software architecture, and high-quality maintainable code.

Provides hands-on technical leadership across software engineering teams and platforms. Designs scalable architectures, develops .NET and Azure solutions, reviews code, improves engineering standards, mentors engineers, supports CI/CD and observability, resolves complex production issues, and drives modernization and technical debt reduction. The role collaborates across product, QA, DevOps, security, and operations while influencing technical direction without direct people-management responsibility.

Design and scale backend services for real-time and historical vehicle telemetry, fleet management APIs, customer integrations, and high-volume time-series and geospatial data. Improve system reliability, scalability, observability, and cloud efficiency while handling intermittent connectivity and distributed-system challenges. Collaborate with vehicle software and UI teams, guide backend architecture, lead projects, and mentor engineers.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Develop customer-facing ChatGPT and OpenAI API features end-to-end, collaborate with engineering, research, product, design, and operations teams, talk with users to solve problems, and optimize applications for speed, scale, safety, and reliability.

Design, build, and operate scalable, secure services across the product lifecycle. Lead architecture, write high-quality code, use AI-assisted tools responsibly, own testing and deployment, drive CI/CD automation, run experiments, mentor engineers, participate in on-call rotation, and improve telemetry, reliability, security, accessibility, and developer velocity.

Develop high-performance C++ and GPU-accelerated implementations for image-processing pipelines, including bundle adjustment, orthorectification, image I/O, and reprojection. Integrate components with Python, optimize latency and throughput, benchmark reference algorithms, and collaborate with HPC specialists. Own verification, validation, CI performance regression testing, technical designs, trade studies, and interface documentation. The role is hybrid in San Jose and supports mission-critical ground and flight systems.