Top Software Engineer Jobs

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Develop and scale cloud-based software platforms for advertising measurement, attribution, optimization, and privacy-preserving data collaboration. Build microservices, APIs, reporting tools, and real-time or batch processing solutions using Go and cloud-native technologies. Implement automated testing, monitoring, CI/CD, infrastructure automation, and scalable data infrastructure. Collaborate with product, architecture, SRE, QA, compliance, and other cross-functional stakeholders while troubleshooting issues and contributing to technical decisions.

Build and ship end-to-end memory and search experiences across Claude products, from backend services and retrieval infrastructure through model tools and user interfaces. Run user-facing experiments, improve retrieval relevance and ranking, define product metrics and evaluations, and ensure privacy, consent, enterprise controls, latency, reliability, and product quality. Collaborate closely with product, design, legal, privacy, and safeguards teams while participating in on-call responsibilities.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Lead technical execution, architecture, roadmap, and delivery for the Loyalty product. Manage and grow engineering teams, drive design and operational excellence, ensure reliability/observability, coordinate cross-team integrations, and deliver scalable multi-tenant SaaS features integrated with Zeta’s platform and AI capabilities.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Design, develop, and operate scalable full-stack applications, backend services, REST APIs, microservices, and event-driven systems. Build secure AI-powered capabilities and agentic workflows while maintaining strong standards for architecture, testing, reliability, observability, and code quality. Own features through deployment and production support, lead technical discussions and code reviews, mentor engineers, and collaborate across Product, UX, QA, and Engineering.

Develop and maintain scalable, secure enterprise applications using Java, Angular or React, AWS, and cloud-native technologies. Responsibilities include architecture, software development, testing, code reviews, performance engineering, security remediation, production troubleshooting, observability, and reliability improvements. The role collaborates with product and business teams on roadmaps while supporting highly available applications and compliance requirements.

Build and customize enterprise full-stack applications, data connectors, and plugins for customer technology environments. Develop dynamic front ends using React, AngularJS, or NextJS; support backend development and database management; and implement UI event instrumentation. Collaborate using Agile/Scrum, CI/CD, and cloud-native practices while helping lead engineering teams. Bonus work includes generative AI, prompt engineering, search and AI APIs, cloud platforms, and legal technology.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Leads technical strategy, architecture, operational excellence, mentorship, and multi-team software delivery. Designs maintainable distributed systems using microservices, improves monitoring and operational maturity, drives innovation, and collaborates with stakeholders across departments. Requires 9+ years of enterprise software development experience, public-cloud expertise, strong leadership, communication, analytical, documentation, and problem-solving skills.

Leads the design and development of full-stack systems supporting diagnostics and genomic data processing. Responsibilities include architecting microservices, scaling bioinformatics workflows, developing AI-assisted applications, optimizing PostgreSQL and Redis, managing GCP infrastructure and CI/CD, and integrating APIs and agentic workflows. The role also involves technical leadership, mentoring, cross-team collaboration, architectural decision-making, and bridging software engineering with computational biology teams.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

Leads architecture, development, and operations for secure, scalable cloud-native platforms. Designs backend services, GraphQL and REST APIs, React micro-frontends, content pipelines, search capabilities, and event-driven integrations using Java, Python, Go, and AWS. Establishes engineering standards for security, resilience, observability, CI/CD, and cost efficiency; mentors engineers, drives cross-team initiatives, evaluates technologies, and promotes responsible AI-assisted development practices.

Designs and delivers secure, resilient Java and Spring Boot microservices for high-volume payment processing. Responsibilities include building REST APIs and event-driven Kafka or MQ workflows, implementing automated testing and CI/CD, producing architecture artifacts, operating Kubernetes services, troubleshooting production issues, analyzing telemetry, and guiding responsible use of AI-assisted development tools.

Develop highly reliable software applications supporting SpaceX launch vehicles, Starlink, manufacturing, and satellite operations. Responsibilities include designing systems, building prototypes, improving application performance, collaborating on architecture and code reviews, and owning software development through deployment and monitoring. The role involves full-stack development, web applications, data processing, databases, cloud-native technologies, testing, and continuous integration. This is an onsite position that may require extended hours based on launch schedules.

Build and ship core 0-to-1 systems connecting software, hardware, and finance. Responsibilities include designing abstractions over complex data and legacy systems, owning the full product lifecycle, developing production-grade LLM systems for loan underwriting and compliance, and contributing to engineering and product culture. The role requires strong backend and systems thinking, with comfort in full-stack development and UI design.

Build core systems at the intersection of software, hardware, and finance. Own full product lifecycles from customer discovery through production deployment, create abstractions for complex legacy systems, and design production-grade LLM solutions for underwriting, compliance, and document processing. The role emphasizes backend systems, infrastructure, architecture, full-stack development, and occasional field travel.

Build core 0-to-1 systems at the intersection of software, hardware, and finance. Responsibilities include designing abstractions for complex legacy systems, owning the full product lifecycle, developing full-stack products, and deploying production-grade LLM systems for loan underwriting, compliance, and document processing. The role emphasizes backend systems, infrastructure, architectural tradeoffs, customer-focused product development, and contributing to engineering culture.

Unpaid software engineering internship focusing on full-stack web development with TypeScript, Next.js/React and Node/Express. Work on front- and back-end features, responsive UI with Tailwind, animations with Framer Motion, PostgreSQL and MongoDB integration, REST APIs, microservice-based architecture, code reviews, debugging, and product planning in a remote-first startup.

Own end-to-end technical initiatives for iManage’s core cloud platform, including requirements, architecture, implementation, and delivery. Design scalable distributed systems, microservices, and event-driven architectures using modern backend technologies and Azure. Evaluate AI technologies and practical workloads, address reliability and security, collaborate cross-functionally, and mentor engineers while influencing technical direction across teams.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Designs, develops, tests, and optimizes C++ software for RF processing, radar systems, simulations, and toolchains. Converts algorithm specifications into software, integrates experimental data and analytical tools, participates in code reviews, and collaborates with cross-functional engineering teams. The role requires containerization, numerical methods, object-oriented design, tactical mission knowledge, and active Secret clearance with the ability to obtain Top Secret/SCI clearance. Work is fully onsite five days per week.