Top Software Engineer Jobs

Lead a small engineering pod using AI-native tools such as Claude Code, Codex, and Cursor to translate product requirements into technical specifications, generate and validate production code, and rapidly improve existing products. The role owns end-to-end delivery, develops repeatable AI engineering workflows, mentors engineers, manages technical debt, and establishes practices for agentic development, automated QA, and maintainable systems.

Build distributed backend systems for real-time detection, including signal ingestion, data-intensive processing, scalable infrastructure, and production AI/ML integrations. The engineer will own system design and delivery, improve architecture and implementation patterns, and collaborate with technical leadership. The role requires independent execution, strong database and distributed-systems knowledge, and experience with startup environments.

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.

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.

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.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Create and evaluate game development challenges for AI training. Build small game projects, introduce and resolve gameplay bugs, design multi-system features, write task briefs and acceptance criteria, develop verified reference solutions, and conduct end-to-end playtesting. Candidates must demonstrate hands-on experience with a major game engine, relevant programming or scripting technologies, gameplay debugging, interactive feature design, technical documentation, and a verifiable game development portfolio.

Design and evaluate challenging mobile software engineering tasks for AI systems. Responsibilities include creating debugging, feature development, refactoring, state management, lifecycle, and performance tasks; building reproducible environments; writing deterministic automated tests and verifiers; developing reference solutions; and documenting rigorous evaluation criteria.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Designs, develops, and deploys enterprise applications using Java, Spring Boot, microservices, REST APIs, cloud services, databases, DevOps tools, and Angular or React. The role also involves AI exposure with Python, LangChain, and LangGraph, along with application security, monitoring, performance, deployment, and collaboration with project teams. The position is onsite in McLean, Virginia.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Build and scale customer-facing iOS applications for OPENLANE’s wholesale vehicle marketplace. Responsibilities include designing Swift and SwiftUI features, leading iOS architecture and UIKit modernization, improving testing and release practices, managing cross-cutting concerns such as authentication and analytics, using AI development tools, mentoring engineers, and collaborating with Product, Android, backend, platform, and QA teams.

Build and scale customer-facing Android marketplace features using Kotlin, Jetpack Compose, and modern Android technologies. Develop tested, production-ready software, use AI tools for coding and debugging, maintain reliability, and collaborate with Product, Design, backend, iOS, QA, and senior Android engineers. Contribute to platform concerns including authentication, analytics, feature flags, and CI while growing end-to-end feature ownership.

Develop end-to-end applications that help mission analysts access and interpret complex data. Collaborate with stakeholders, data scientists, and analysts to translate operational needs into enterprise solutions. Build front-end interfaces, back-end services, APIs, and integrations with data repositories. Use Python, Java, JavaScript, PySpark, Elasticsearch, and distributed data processing, with opportunities to integrate machine learning, artificial intelligence, and generative AI technologies.

Leads MGIC’s software engineering and digital delivery functions, aligning technology strategy, product portfolios, engineering standards, and investments with business outcomes. Oversees software development, testing, deployment, DevOps, modernization, cloud, AI, product delivery, portfolio governance, vendor management, risk, compliance, budgets, and organizational leadership. Partners with executives and cross-functional teams to drive digital transformation, customer experience, operational excellence, and long-term enterprise growth.

Lead an engineering team building and operating full-stack consumer applications that help Twitch creators grow revenue. Set team vision, drive customer-focused delivery, make technical and product trade-offs, develop employees, hire and retain talent, and collaborate effectively in an ambiguous environment. The role requires strong software development, system design, cloud infrastructure, communication, and people-management experience.

Lead an engineering team building and operating full-stack consumer applications that help Twitch creators grow revenue. Set team vision, drive customer-focused delivery, make architectural and product trade-offs, develop engineering talent, and collaborate across functions. The role requires strong software development and people-management experience, expertise in web services, cloud infrastructure, and system design, plus the ability to operate effectively in an ambiguous, rapidly changing environment.

Leads multiple engineering teams and managers, defining technical strategy, improving stability and quality, and ensuring predictable delivery. Partners with Product, Architecture, business stakeholders, and external partners to prioritize solutions, manage technical debt, and support organizational growth. Develops engineering talent and standards while advancing cloud, DevOps, event-driven architecture, reliability, security, and AI-driven automation initiatives.

Develops and sustains cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, installation, enhancement, maintenance, and issue resolution. The role works with distributed NoSQL systems, big-data technologies, cloud scalability, machine learning, large language models, RAG, agentic workflows, microservices, Kubernetes, observability, and infrastructure-as-code tools.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Develop and support compliance technology solutions for regulatory, surveillance, supervision, and risk-control functions. Responsibilities include Java backend development, distributed systems architecture, API and event-driven integrations, cloud and big-data solutions, testing, monitoring, incident support, and operational administration. The role partners with Compliance, Risk, Data, Architecture, and business teams to deliver secure, scalable, auditable systems aligned with regulatory requirements and enterprise standards.

Develops, architects, tests, reviews, and supports Adobe Experience Manager applications and platforms. Designs solutions for performance, availability, security, reliability, and client experience; creates technical documentation and standards; mentors engineers; evaluates emerging technologies; and formulates application solutions aligned with business needs.

Develop and maintain web applications for a government customer within an Agile team. Responsibilities include researching, designing, coding, testing, troubleshooting, implementing business logic, developing web APIs and conversion routines, supporting production applications, conducting impact analysis, and collaborating with analysts, UI/UX developers, testers, project leads, and customers.

Develop and deploy end-to-end applications supporting intelligence mission workflows. Responsibilities include gathering requirements, building user-facing applications, developing RESTful APIs, integrating front-end and back-end services, creating data visualizations, working with cloud environments and data repositories, and establishing secure CI/CD pipelines. The role collaborates with mission stakeholders, data scientists, and analysts to deliver operational solutions.