Top Software Engineer Jobs

Build and operate scalable, resilient backend services for Tinder’s core workflows, including experimentation, profile management, and chat. Collaborate across teams to expand the service platform, influence roadmap and product development, and support team growth. The role requires distributed systems expertise, strong computer science fundamentals, backend programming skills, and experience with high-volume services, cloud platforms, containers, and related data technologies.

Develops and maintains full-stack web applications for genomics and health-data sharing. Responsibilities include building React and TypeScript interfaces, developing Python APIs and data services, managing databases and containers, implementing testing and CI/CD automation, monitoring applications, optimizing code, participating in reviews, and supporting open-source bioinformatics and clinical data solutions.

Design, build, and maintain production-grade full-stack applications using React, Node.js, and TypeScript. Develop scalable backend services, REST/GraphQL APIs, and cloud-native solutions on AWS. Contribute to system architecture, observability, and event-driven designs, own features through deployment, and collaborate with Product and Design to deliver secure, high-quality software.

Build, test, deploy, and support enterprise integrations using MuleSoft. Design APIs and web services, troubleshoot data-flow issues across environments, improve integration security and performance, contribute to CI/CD automation, collaborate with technical and business teams, review code, and document integration solutions and processes.

Develop, test, and integrate cloud-native analytic software using MBSE and SysML workflows. Build APIs, implement CI/CD and automated testing, support customer engagements in SCIF environments, and collaborate on design, code reviews, and deployments.

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 and maintain scalable full-stack digital experiences across multiple brands using Framer, React, APIs, middleware, and cloud integrations. Own features from discovery through deployment, testing, monitoring, and iteration. Develop automation and AI-enabled capabilities, implement CRO experiments, validate analytics, and improve accessibility, SEO, performance, and reliability. Collaborate with Product, Marketing, Design, IT, Analytics, Operations, vendors, and contractors to deliver secure, documented, and maintainable web solutions.

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.

Designs, develops, tests, documents, and supports enterprise applications using Java, Spring Framework, and modern development tools. Translates customer requirements into software solutions, debugs application issues, enhances existing systems, and collaborates with customers and cross-functional Agile teams. The role also involves applying AI-assisted engineering practices, understanding security considerations, and contributing throughout the software development lifecycle.

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.