Top Software Engineer Jobs

Lead architecture and reliability for a high-scale alerting platform. Design rule-based, ML-driven, and correlated detection systems; own Kafka-based event delivery, webhook reliability, idempotency, and sustained-load performance. Transform security and network telemetry into topology and dependency models that support LLM-assisted investigation and remediation. Provide cross-team technical leadership, mentor engineers, and guide long-term platform strategy across multiple alerting teams.

Build core experiences for bank administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. The role emphasizes clean, documented, tested code; system design; error handling; performance; domain-driven design; microservice architecture; and technical guidance through code reviews. Candidates will primarily work with front-end technologies while contributing to backend services in an agile Scrum environment.

Lead technical vision and architecture for a large software platform. Drive system design, platform capabilities (APIs, event-driven systems, data pipelines), cloud and DevOps practices, and AI/LLM integration. Solve cross-team technical problems, set engineering standards, mentor senior engineers, and align engineering with product and business strategy while ensuring reliability, security, and cost optimization.

Lead ownership of end-to-end product features and services: design, build, ship, and operate systems (including AI/agent logic). Mentor small teams, make architecture decisions, ensure quality, observability, and responsible handling of health data, and align stakeholders across product, design, data and engineering.

Build and operate secure, scalable software for federal environments, collaborating with AI engineers to productionize applications across cloud, GovCloud, and air-gapped networks. Responsibilities include architecture, containerization, CI/CD, accreditation, observability, production debugging, testing, technical standards, requirements decomposition, and mentoring. The role requires strong Python, distributed systems, database, API, Kubernetes, and security-control expertise, plus experience delivering AI-backed features.

Designs and develops scalable Go-based software, observability platforms, telemetry pipelines, APIs, plugins, and cloud integrations. The role involves instrumentation, monitoring metrics, traces and logs, troubleshooting distributed systems, implementing CI/CD and automated testing, collaborating with SRE and engineering teams, and mentoring junior engineers. The engineer will help shape architecture for cloud-native monitoring systems that improve application reliability, performance, and scalability.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Leads high-level systems analysis, software design, development, testing, debugging, and implementation across multiple platforms. Guides engineers, drives development standards, automated testing, and CI/CD adoption, and supports root-cause analysis and production issues. Mentors team members, collaborates with global development resources, advises business leaders on technology improvements, and uses data and cost measures to support project and operational decisions.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Lead a team developing software metrics and evaluation systems for autonomous-driving quality. Define strategy and roadmaps, analyze simulation and real-world driving data, improve code health, and collaborate with engineers, data scientists, statisticians, and leadership to deliver data-driven evaluation products.

Build and maintain onboard and platform software for autonomous mining vehicles, including sensor drivers, data pipelines, synchronization, calibration, deployment, monitoring, simulation, testing, drive-by-wire integration, low-level controls, and safety systems. Collaborate with machine learning, hardware, controls, and mine operations teams through field validation on real equipment.

Own full-stack engineering initiatives for Handshake’s employer platform, building AI-powered sourcing, automated outreach, recruiting agents, monetization, and growth experiences. Lead products from concept through launch and iteration, architect scalable distributed systems, run A/B tests, collaborate with product, design, and data, and improve hiring outcomes. Mentor engineers and maintain high-quality production systems while applying strong product judgment in a fast-paced environment.

Define and drive the architecture of Snowflake’s OLTP systems across databases, storage, compute, and cloud infrastructure. Lead decisions involving transactions, concurrency, replication, recovery, scalability, isolation, and high availability. Design transactional primitives for AI agents, including ephemeral environments, checkpointing, rollback, and safe state management. Influence multiple engineering teams, mentor engineers, collaborate with executives and customers, and guide complex systems from architecture through production.

Develop collision avoidance and detection software for Nuro’s autonomous driving platform. The role spans perception, planning, and control, with emphasis on high-precision, low-latency systems, rare-event validation, ML-based perception, object tracking, data curation, and compute optimization. Candidates will deploy robotics software and contribute to safety-critical parallel autonomy systems.

Sets technical direction for APIs that provide governed access to legal content for AI agents. Owns API architecture, retrieval and search design, MCP integrations, evaluation frameworks, reliability, observability, security, and platform governance. Leads cross-team architecture decisions, mentors engineers, manages operational responsibilities, and establishes AI-assisted, spec-driven development practices for a multi-team internal platform.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Lead technical direction for Workday Financials and MuleSoft integrations, architect secure scalable integrations across finance systems, champion AI developer tools, design cloud-native AWS/GCP integration infrastructure, mentor engineers, enforce engineering standards for quality, security, and scalability, and deliver enterprise-scale integration solutions.

Develop and maintain end-to-end LiDAR and camera perception software for robotics platforms. Responsibilities include sensor drivers, ROS 2 packages, GPU-accelerated processing, calibration, synchronization, recording and playback tools, Docker environments, packaging, CI/CD, hardware-in-the-loop testing, and production release automation. The engineer will support integration issues and collaborate closely with hardware, silicon, algorithm, manufacturing, and customer teams.

Develop and enhance backend financial and investment products, integrating with financial institutions and partners. Build scalable web applications and backend services using Node.js, TypeScript, PostgreSQL, AWS Lambda, and Kinesis. Responsibilities include analyzing requirements, implementing maintainable features, testing, troubleshooting production issues, designing scalable schemas, and contributing across the technology stack while primarily focusing on backend development.

Lead frontend architecture and delivery for interfaces that help operators explore spectrum data, direct sensors, and collaborate with AI agents. Build high-performance visualizations, real-time streaming experiences, agentic workflows, component libraries, design systems, and testing practices. Partner with product, design, and backend teams to translate ambiguous requirements into polished, accessible, production-ready interfaces.

Design and operate scalable backend services for spectrum data ingestion, ML inference, and autonomous agent workflows. Architect tool-calling, orchestration, state, memory, and evaluation systems; own model serving and performance optimization; define APIs and data contracts; and ensure production reliability through observability, alerting, and runbooks. The role also involves architectural leadership, design reviews, mentoring, and collaboration with ML researchers to productionize models.

Lead large-scale client projects focusing on Azure solutions, mentoring teams, and ensuring successful delivery through technical leadership and design solutions.

Staff Backend Engineer responsible for building data and machine learning systems that provide competitive travel-market intelligence. The role involves setting technical strategy, designing APIs and backend architecture, prototyping solutions, partnering with product and ML engineers, conducting design and code reviews, driving engineering best practices, and mentoring junior engineers.

Lead development of scalable software solutions across frontend and backend systems. Build React and TypeScript interfaces, C# .NET and Node.js services, Terraform-managed AWS infrastructure, and optimized MSSQL schemas and queries. Collaborate on requirements and roadmaps while promoting code quality, testing, RESTful architecture, and CI/CD best practices. The role also uses generative AI tools and coding agents, with preferred experience in Docker, Kubernetes, serverless computing, and automated testing.