Top Software Engineer Jobs

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 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.

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.

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.

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.

Leads Unlearn’s engineering organization across core engineering, applications, ML/AI Ops, infrastructure, and forward deployment. Owns system quality, reliability, compliance, security, execution, hiring, team design, and engineering roadmap delivery. Partners with Product, R&D, Delivery, and company leadership to translate strategy into shipped AI-powered platforms, tools, and services in a regulated environment. Establishes an AI-centric culture and ensures engineering commitments align with business objectives.

Own architecture and direction for Suno’s AI Operations Engineering team. Build intelligent agents, workflows, internal tools, APIs, authentication patterns, and self-service deployment capabilities that help non-engineering teams scale. Evaluate third-party tools, integrate customer experience systems such as Zendesk, and partner with legal, finance, people, support, and content operations to identify and solve workflow challenges.

Build AI agents, workflows, internal tools, APIs, authentication patterns, and customer experience integrations that improve operations across support, legal, finance, people, and content teams. Evaluate build-versus-buy decisions, support self-service app deployment, and partner with stakeholders to identify automation opportunities. The role requires full-stack engineering experience and comfort working in an early-stage, rapidly evolving environment.

Develop and maintain cloud software supporting cyber intelligence and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, cloud integration, distributed systems, RESTful services, testing, validation, troubleshooting, and sustainment. The role also involves Kubernetes, infrastructure as code, CI/CD, Linux scripting, Hadoop-based big-data technologies, microservices, LLMs, RAG, and security-conscious cloud engineering.

Lead software engineering for a digital marketing platform, defining technical vision and multi-year product roadmaps. Manage and mentor a team, oversee scalable architectures and API integrations, conduct code reviews, and collaborate with product, design, data, and technology teams. The role focuses on AWS-based systems, AI-driven automation, data unification, agile delivery, and building high-quality software solutions.

Design, develop, deploy, and operate distributed backend systems supporting large-scale, low-latency online model inference. The role owns inference platform technical direction, scalability, reliability, observability, and cloud infrastructure on GCP and Kubernetes. Responsibilities include partnering with ML engineers, optimizing high-throughput services, implementing DevOps and SRE practices, and monitoring production systems with Prometheus and Grafana.

Develop and maintain full-stack web applications, integrate third-party systems and APIs, automate operational processes, troubleshoot live systems, and contribute to AI-driven features. The role requires independent problem-solving, ownership of delivered software, and effective collaboration in a fast-paced environment. This is a hybrid position based in Denver, Colorado, or Rockville, Maryland.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

Design, build, test, and launch reliable, scalable business insurance products and AI-powered customer experiences. Partner with product, design, and cross-functional teams to iterate using feedback and metrics. Lead multi-quarter projects from scoping through delivery, communicate technical tradeoffs, and mentor engineers through pairing, code review, and knowledge sharing.

Builds customer-facing features for an AI-powered revenue platform. Responsibilities span intelligent CRM integrations, autonomous outreach workflows, and end-to-end revenue engine development, with a focus on making complex AI capabilities easy to use for businesses in the physical economy.