Top Software Engineer Jobs

Build full-stack product features, including AI-driven automation and language-model workflows, from design through release. Improve backend systems, infrastructure, and code reliability as usage scales. Shape product direction, collaborate in a flat team, and work directly with frontline users and operations leaders. The role requires an independent, product-minded engineer comfortable in an early-stage environment and working hybrid in San Francisco.

Build and architect scalable backend services, APIs, and application features for a gaming platform. Lead cross-team initiatives, define cloud development and infrastructure-as-code practices, collaborate on technical specifications and API design, research backend technologies, and mentor engineers while remaining hands-on.

Provides technical leadership for cloud cost management and reporting platforms. Designs scalable software, APIs, data pipelines, and analytics solutions; establishes engineering standards; leads modernization, automation, security, observability, and CI/CD practices; and drives cross-functional initiatives. The role partners with product, FinOps, cloud platform, and business teams, mentors engineers, leads design reviews, and transforms cloud and AI cost data into actionable insights.

Design and build backend services and APIs for identity resolution and graph integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS/Kubernetes with Helm, and ensure reliability, observability, and scalability. Collaborate across engineering, product, and data teams while mentoring junior engineers and advancing distributed identity platform architecture.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Lead the architecture and evolution of League of Legends’ core game engine and developer tools. Design reliable, scalable, high-performance systems, improve developer workflows, uphold engineering practices, collaborate across disciplines, mentor engineers, document technical decisions, and participate in on-call support. Apply AI-powered tools to improve development productivity and code quality.

Leads software engineering efforts within an agile infrastructure platform team. Develops, reviews, debugs, and governs secure production code using Java full-stack technologies, React, cloud platforms, containers, and relational databases. Drives adoption of AI-assisted engineering tools, establishes validation and security standards, coaches technical teams, promotes SDLC automation, and influences technology decisions. Balances hands-on development with technical leadership and contributes to an inclusive engineering culture.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Own software features and services from planning through production release. Shape system architecture and long-term technical direction, review designs and pull requests, collaborate with product partners, gather user feedback, and mentor engineers. The role requires broad full-stack fundamentals, strong API and data-structure skills, product judgment, and experience shipping complex systems in a high-growth startup environment.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Leads the full Agile software development lifecycle for data-driven software products supporting lunar systems engineering. Designs scalable architectures, implements and tests web-based services, manages deployment and monitoring, documents technical solutions, collaborates with stakeholders, and mentors engineers. The role develops tools for storing, analyzing, and automating aerospace engineering data while supporting safe human spaceflight.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Own Uber’s Android build platform across Bazel, Starlark rules, toolchains, dependency management, remote caching, remote execution, and CI. Improve build speed, reliability, cost, diagnostics, and test selection across a large monorepo. Lead platform migrations, upgrades, observability, incident response, technical standards, and cross-team initiatives while mentoring engineers and setting the Android build roadmap.

Design, develop, test, troubleshoot, and implement complex Java software capabilities, enterprise APIs, RESTful services, and microservices. Integrate AI coding agents for feature development, refactoring, testing, and code review. Collaborate in an agile team, manage complex architectures, maintain security and performance standards, and meet multiple deadlines in a hybrid Columbia, Maryland or Fort Meade environment.

Build and scale low-latency, highly available distributed systems powering Turo’s Search Platform. Develop backend services, APIs, tools, and utilities; write, test, review, and ship maintainable code; improve architecture; and collaborate with product, design, and engineering teams to deliver product features. The role requires search engine expertise, cloud-native architecture experience, strong programming skills, and knowledge of distributed systems and databases.

Own and scale infrastructure for concurrent, stateful AI workloads. Responsibilities include dispatch-layer reliability, queueing, concurrency control, failure handling, realistic system testing, evaluation development, platform integrations, and support for external orchestration frameworks. The role requires production backend and distributed infrastructure experience, cluster management expertise, and experience supporting large language model workloads.

Own the application layer of a software platform across backend services, interfaces, tooling, monitoring, access controls, and dashboards. Build scalable APIs and developer tools, make architecture and product decisions, incorporate early-user feedback, and deliver features from concept through release. Support infrastructure growth as usage increases while exercising strong product judgment and end-to-end ownership.

Build and ship AI-powered automation features, third-party integrations, full-stack web applications, and cloud infrastructure. Design background job processing systems, improve reliability and observability, address security risks, contribute product ideas, and mentor junior engineers. The role requires strong TypeScript skills, experience scaling AWS systems with infrastructure as code, and proficiency with React, Node.js, and Postgres.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Builds web, desktop, cloud, Microsoft 365, API, and AI-enabled solutions, including generative AI and LLM applications. Gathers requirements from legal and business stakeholders, leads technical project work, supports vendors, improves development standards and roadmaps, and ensures secure, scalable application delivery.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. The role translates legal and business requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Responsibilities include stakeholder and vendor collaboration, technical leadership, application lifecycle planning, and implementation of AI-enabled and generative AI capabilities using LLMs and related technologies. The developer also contributes to standards, architecture, automation, security, modernization, and production support.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Translates stakeholder requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Builds AI-enabled and generative AI applications using LLMs, supports enterprise integrations, evaluates development standards and technologies, and provides technical leadership across projects. The role also collaborates with vendors, documents systems, supports lifecycle roadmaps, and advises legal and administrative stakeholders.

The role involves developing enterprise software, building data pipelines, and creating flexible marketing solutions using AI capabilities. You'll work on a mission-critical platform to improve understanding of customer data and engage audiences through collaboration and innovation.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms, web, desktop, cloud, and business systems. Translates stakeholder requirements into secure, scalable solutions; builds APIs and Microsoft 365 integrations; supports vendors and production systems; contributes to architecture, standards, roadmaps, and technical leadership. Develops AI-enabled and generative AI applications using LLMs and related technologies to automate workflows and enhance user experiences.

Lead technical strategy and architecture for a large-scale Content Platform that powers marketing campaigns. Solve ambiguous cross-team problems, design scalable backend and AI-driven systems, mentor senior engineers, and partner with product, design, and marketing to drive execution and engineering standards across the org.

Develop and maintain enterprise mainframe COBOL applications supporting order processing, warehouse, billing, sales, and credit systems. Responsibilities include requirements gathering, solution design, coding, testing, quality assurance, deployment, integration with MQ and APIs, workflow evaluation, project coordination, and production support. The role provides technical leadership, enforces development standards, collaborates with users and product owners, and mentors other engineers. It is hybrid, requiring four days per week at the LaVergne, Tennessee headquarters.