Top Software Engineer Jobs

Design and implement cloud-native IoT software using Azure, serverless computing, TypeScript, React, and NestJS. Build scalable applications, APIs, and integrations for web, mobile, partner, and IoT devices. Develop automated tests, implement secure production code, maintain rollback capabilities, support products through on-call participation, and translate business requirements into technical designs. Collaborate using agile and paired programming practices while communicating complex technical concepts to business and product teams.

Design, develop, and maintain scalable full-stack web applications, microservices, databases, and cloud infrastructure. Lead features from concept through launch, write reusable code, document designs, estimate work, and support on-call operations. Improve reliability, performance, and scalability while mentoring team members and collaborating across Microsoft teams.

Drive end-to-end product design, implementation, testing, monitoring, and maintenance. Write elegant, reliable, maintainable code; collaborate with product, design, sales, and engineering; influence platform direction; improve business processes; mentor engineers; and help shape systems and engineering culture at an early-stage fintech and real estate startup.

Lead technical direction and engineering outcomes for large-scale advertising platforms. Design and operate highly reliable distributed backend systems, make architecture and technology trade-offs, align engineering and product leaders, improve delivery and reliability practices, guide major technical initiatives, and mentor senior engineers and emerging technical leaders across the organization.

Develop and support application software and hardware for electronic controls, HMIs, and mobile/off-highway vehicle systems. Create reusable application blocks, simulate and validate software in laboratories and vehicles, implement functionally safe software, document requirements, and provide onsite customer support. Collaborate with multidisciplinary engineering teams, support customer engagements and sales activities, and travel up to 10%.

Build full-stack infrastructure for an expert marketplace, including outreach, assessment, interviewing, onboarding, expert profiles, availability, staffing, workflow automation, funnel instrumentation, and recommendation or matching capabilities. The role partners with growth and operations teams to resolve bottlenecks and requires end-to-end ownership of complex production systems.

Build and own production software for factory operations, supply chain, quoting, pricing, inventory, production flow, simulation, equipment telemetry, and automation orchestration. Design data models representing physical manufacturing processes, collaborate with hardware and automation engineers, identify product priorities, and independently deliver end-to-end solutions in an onsite industrial technology startup environment.

Lead development of healthcare analytics products, designing ETL processes, maintaining data pipelines and databases, building visualizations, and applying statistical and machine learning algorithms. Collaborate with product and consulting teams on technology strategy, roadmaps, workflow optimization, and outcome measurement. Mentor junior engineers and contribute to patient-outcome improvements using large-scale EHR data.

Full‑stack product engineer responsible for architecting and building across the stack with strong emphasis on frontend UI/UX, onboarding flows, and API integrations. Collaborate directly with founders, own product and technical decisions, and deliver polished visual experiences using React, modern web technologies, and backend services.

Build and operate Python backend services, APIs, and React frontends for a property-management platform. Use AI coding tools extensively for planning, implementation, reviews, testing, and evaluation. Own features end to end, integrate third-party platforms, maintain CI/CD and observability, support safe AWS releases, and collaborate with product and operations. Mentor teammates through code reviews and help establish effective AI-assisted engineering practices.

Principal Engineer responsible for owning complex software initiatives from problem framing through architecture, implementation, deployment, production support, and continuous improvement. The role involves building web applications, services, APIs, MCP servers, data pipelines, and platform integrations; leading architecture and code reviews; improving security, reliability, and maintainability; mentoring engineers; and shaping technical strategy. The engineer will also use and improve AI-assisted development practices while maintaining human accountability for quality and operational outcomes.

Lead technical direction and engineering outcomes for large-scale advertising platforms. Design and operate reliable distributed backend systems, guide architecture and risk management, establish organization-wide engineering standards, and align technical priorities with business goals. Mentor senior engineers and emerging technical leaders while improving delivery, reliability, and engineering leverage across multiple teams. The role requires deep backend expertise, organizational influence, and experience operating high-reliability systems at scale.

Develop and support full-stack web, desktop, legacy, cloud, and on-premises applications for mission-critical manufacturing and test operations. Build new applications, improve AWS and on-premises infrastructure, support containerized and microservices architectures, integrate SCADA systems, and champion software development best practices. Collaborate directly with global users and internal IT teams to identify enhancements and deliver reliable, scalable solutions.

Own and scale a high-volume backend platform focused on performance, reliability, and cost efficiency. Build core infrastructure for data stores, job coordination, resource allocation, and cloud releases. Partner with machine learning engineers to deploy models into production pipelines, resolve resilience and capacity issues across distributed services, and participate in on-call support for platform health.

Architect and build CADET’s production system for customer-grounded Copilot evaluations. Own end-to-end architecture spanning customer-signal capture, data enrichment, evaluation generation and execution, quality attribution, reporting, observability, and retention. Develop scalable services and pipelines, establish schemas and data contracts, automate quality gates, implement human-in-the-loop controls, and ensure privacy, security, reliability, reproducibility, and regression protection. Provide principal-level technical leadership across engineering, science, product, and platform teams while mentoring engineers and driving reusable capabilities.

Develop and own the embedded platform software stack for accelerator compute payloads in Blue Origin’s Sunrise satellite data centers. Responsibilities include BSP development, bootloader and Linux kernel bring-up, driver initialization, fabric management, GPU communication validation, health monitoring, radiation-induced error recovery, and platform API design. The role requires hands-on debugging of accelerator hardware and low-level software in remote, limited-observability environments.

Lead technical strategy, architecture, modernization, and operation of SmartThings’ distributed device and location cloud services. Own complex multi-team initiatives, design reliable and scalable microservices, guide AWS platform evolution, and support event-driven systems. Collaborate across product and engineering teams, mentor engineers, promote AI-assisted development, and share production-service ownership.

Leads the design and development of scalable SaaS applications, including AI-powered features such as semantic search, vector databases, RAG, and LLM orchestration. Provides technical leadership, mentorship, architectural guidance, code reviews, and engineering standards enforcement. Collaborates cross-functionally to translate requirements into robust solutions, champions AI-assisted development tools, builds developer experience tooling, and drives innovation, quality, security, and continuous improvement across the engineering organization.

Own backend core systems supporting clinical workflows and machine learning infrastructure. Build and operate ingestion, warehousing, distributed inference, reliability, observability, debugging, capacity planning, CI/CD, and deployment automation. Design secure systems for protected health information, including encryption, access controls, and audit logging. Partner with machine learning engineers on model infrastructure and inference pipelines while leading multi-quarter technical initiatives and balancing reliability, performance, cost, security, and maintainability.

Build backend-oriented internal applications and customer integrations for an AI-enabled medical imaging platform. Develop clinical workflow, peer review, and analytics tools; integrate with PACS, RIS, and EHR systems using DICOM and HL7; support customer onboarding; identify workflow gaps; and deliver product and operations automation. Own medium-to-large projects, make architecture decisions, collaborate directly with customers, and contribute across the full product lifecycle.

Build and ship backend systems and AI-powered product features for healthcare software. Own the full product lifecycle from identifying customer problems and defining requirements through implementation, user-experience decisions, and production release. Collaborate directly with technical leadership and customers, scale production systems, and use AI development tools while maintaining responsibility for software quality.

Develop and maintain core components of a modern digital auction platform using C# and .NET Core. Responsibilities include designing data models, building RESTful APIs, integrating legacy and third-party systems, developing Azure DevOps CI/CD pipelines, troubleshooting performance issues, conducting code reviews, documenting best practices, and collaborating with product managers and multiple engineering teams.

Owns PayPal Credit Production Engineering’s internal tooling and platforms across design, development, testing, deployment, monitoring, and maintenance. Responsibilities include managing production codebases, operating knowledge-base services, building automation, owning PostgreSQL schemas and performance, supporting cloud infrastructure, guiding junior engineers, reviewing code, and advising on technical decisions. The role partners across teams, supports operational escalation, and may work with retrieval systems, vector search, and LLM tooling.

Build and own features across a web platform and backend services, including analysis and insight tools, conversational interfaces, participant recruitment and incentive workflows, APIs, distributed systems, and design-system contributions. Collaborate closely with product and design teams in a fast-paced startup environment. The role requires leading significant builds from the ground up and demonstrating exceptional technical achievement or founder-level experience.

Design, develop, test, and deliver scalable software applications, APIs, services, and user experiences. Build secure REST APIs, distributed services, event-driven integrations, and AI-enabled systems. Contribute to testing, CI/CD, observability, accessibility, security, performance, documentation, and technical design. Collaborate with product, architecture, data, quality, and business stakeholders while mentoring engineers and promoting consistent development practices.