Top Software Engineer Jobs

Supports and enhances enterprise business applications used across airport construction, capital planning, finance, project controls, and operations. Responsibilities include configuring PMWeb and Oracle JDE E1, automating workflows, developing integrations, troubleshooting complex issues, gathering requirements, testing solutions, and creating technology strategies and roadmaps. The role partners with business users, technology teams, and vendors to deliver practical application solutions. Senior-level work includes greater autonomy, technical leadership, and ownership of complex initiatives.

Develop and support secure, high-performing web and mobile applications for Baird Online. Responsibilities include React and Next.js front-end development, .NET backend integration, API and SQL work, testing, troubleshooting, release management, accessibility and performance improvements, stakeholder collaboration, Agile delivery, and mentoring less experienced developers.

Build and maintain consumer iOS and React Native experiences for health results, biomarker data, chat, and other member journeys. Own mobile architecture, native integrations, reusable components, performance, accessibility, testing, observability, reliability, and App Store releases. Collaborate with product, design, clinical, web, and backend teams on clear health experiences, shared data contracts, and cross-platform development patterns. This is an in-person San Francisco role with substantial ownership in a small startup team.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Lead full-stack engineering for a browser extension and backend services, drive AI integrations with strong data privacy, mentor and recruit engineers, manage complex integrations, ensure code quality and SOC2 compliance readiness, and make architectural decisions to scale the platform.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.

Develop and maintain AI, automation, software, systems-integration, and digitalisation solutions for an internal technology centre. Build reusable prototypes, dashboards, workflow automations, API connectors, demonstration platforms, and technical assets. Conduct research, feasibility studies, testing, benchmarking, and experimentation. Maintain development and demonstration environments, documentation, repositories, and configurations while supporting planning, issue tracking, quality testing, deployment, and continuous improvement.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Build and own core payment infrastructure and APIs end-to-end using full-stack skills. Design robust asynchronous systems and state machines (queuing, scheduling, webhooks), collaborate with CTO, BD, and customers to shape product, and set engineering standards and best practices as an early hire.

Build and deploy full-stack financial infrastructure directly with strategic customers. Scope requirements, develop production-grade features across TypeScript, React, NestJS, Postgres, Prisma, and AWS, integrate blockchain and payment systems, debug production issues, and generalize customer-specific solutions into reusable platform capabilities. The role requires close customer collaboration, strong communication, rapid prototyping, and rigorous attention to correctness, resilience, and auditability in money-movement systems.

Develop and maintain scalable Salesforce solutions using Apex, triggers, asynchronous operations, SOQL/SOSL, and Lightning Web Components. Build REST and SOAP integrations, translate business requirements into secure architectures, troubleshoot Salesforce applications, and collaborate with admins, architects, and stakeholders. Apply version control, deployment, testing, and Salesforce best practices while staying current with platform releases.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through architecture, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, and scalability while collaborating across infrastructure, networking, storage, security, and SRE teams. Senior engineers lead complex domain work; Staff engineers shape cross-team architecture and mentor others.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference infrastructure, autoscaling, internal deployment tools, observability, and production support. The role requires deep Kubernetes and distributed systems expertise, strong Go and Python skills, and collaboration across networking, storage, compute, and AI infrastructure teams.