Top Software Engineer Jobs

Lead architecture and development of scalable, secure, cloud-native software platforms for intelligent networking, distributed data processing, real-time analytics, and AI agent experiences. Design high-volume, low-latency systems; guide software development across the full lifecycle; mentor engineers; and solve complex technical problems involving microservices, network telemetry, cloud infrastructure, and generative AI.

Build and maintain scalable full-stack software across frontend, backend, and cloud infrastructure. Develop APIs, services, and data-intensive applications; contribute to architecture; manage CI/CD, deployments, monitoring, logging, and observability; troubleshoot system-wide issues; own complex features through production; and mentor engineers while collaborating with product, design, and engineering teams.

Build and own TuneLab’s AI/ML-powered SaaS product for biotech customers. The Staff Software Engineer will develop full-stack application workflows, integrate Lilly’s drug-discovery models, make architecture decisions, establish engineering practices, and ship reliable customer-facing software. The role also includes mentoring engineers, supporting hiring, influencing product strategy, navigating enterprise infrastructure and compliance, and working with external biotech partners.

Architects, builds, and maintains Versal’s RESTful API platform while mentoring and leading backend engineers. The role requires substantial production Scala experience, professional software development experience, Scala web frameworks, REST API design, and relational database expertise. Familiarity with Scalaz, Slick, and Amazon Web Services is preferred.

Architect, build, and maintain Versal’s frontend modules while leading and mentoring a team of JavaScript engineers. The role requires recent large-scale production experience with ReactJS, application or platform architecture expertise, REST API knowledge, and an active GitHub account with at least 50 followers.

The Staff Software Engineer will lead the strategy and development of metrics to evaluate autonomous driving software performance, collaborating across teams and inventing new ML methods for performance evaluation.

As a Senior Software Engineer, you will design metrics, analyze autonomous systems, develop algorithms, and build evaluation dashboards while collaborating with multiple teams to ensure AV quality and performance.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Lead full‑lifecycle development and delivery of high‑quality, performant web/Electron applications for motorsports operations. Debug, maintain, and tune live production systems, collaborate with engineering and trackside teams, mentor junior developers, and provide on‑call support for global events.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead architecture and evolution of the Workers control plane, re-engineer core services for scale, own system stability and efficiency, define benchmarks, participate in on-call, mentor senior engineers, represent the team in design forums, and evaluate/apply emerging technologies including AI to improve the developer platform.

Build and extend high-scale egress-path systems running on Linux kernel and network dataplanes. Work on kernel network stack (eBPF), routing (BGP), and distributed systems to optimize packet flow, reliability, and performance. Collaborate across teams and participate in on-call rotation.

Serve as the senior technical lead for partner integrations with NinjaTrader APIs. Troubleshoot and resolve complex API and real-time data issues, collaborate with partner engineering and Technical Account Managers, conduct code reviews, build diagnostic tools, set API support quality standards, mentor junior engineers, and translate partner feedback into roadmap improvements.

Lead design and delivery of large, ambiguous frontend and platform initiatives. Shape frontend architecture, standards, and shared patterns; build shared foundations and customer-facing surfaces; improve developer experience, reliability, and performance; partner with design and product; and apply AI-enabled workflows to boost engineering leverage and quality.

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

Designs, develops, and maintains scalable, secure, performant, and HIPAA-compliant web applications supporting healthcare insurance operations. Responsibilities include translating business needs into technical solutions, contributing to architecture, mentoring developers, conducting code reviews, supporting DevOps and CI/CD practices, participating in cloud modernization, monitoring application performance and security, documenting systems, and providing on-call support.

Design, develop, test, and maintain scalable backend and frontend software. Lead automation of deployments, collaborate with cross-functional teams, troubleshoot production issues, write documentation, and drive continuous improvement of development and delivery processes.

Own and build Headways experimentation platform: assignment, exposure, identity resolution, feature flags, and data pipelines. Drive technical direction, reliability, and company-wide experimentation practices, integrate AI for diagnostics, and enable market-level tests across teams.

Design, develop, test, and maintain scalable front-end and back-end applications. Build RESTful APIs and microservices, work with SQL Server, participate in code reviews, support CI/CD pipelines, and collaborate in an Agile environment.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Build a full-stack AI grading and tutoring platform, deliver an enterprise-ready MVP, and automate business systems. Work across backend (Python/FastAPI/Postgres), frontend (React/Typescript), infra (GCP/Cloud Run/Firebase), and mobile (Capacitor). Contribute to rapid iteration, clean tested code, and deployment pipelines.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Design, develop, integrate, and enhance complex software systems; analyze requirements; implement algorithms; debug and test components; lead teams; manage software integration, documentation, and quality control for mission-critical programs.

Design, develop, test, and maintain complex, mission-critical software for processing-intensive analytics, real-time systems, and large-scale data environments. Collaborate on architecture, integration of COTS/GOTS, troubleshoot defects, produce documentation, and support deployment and sustainment in secure environments.