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, 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.

Principal Software Engineer responsible for setting engineering standards across Shippo’s data organization. Designs and builds interfaces between application services, ML systems, and data platforms; develops scalable, secure, observable production systems; guides technical architecture through RFCs and design reviews; productionizes analytical and prototype work; advises on ML workflows and agentic AI; and mentors engineers while driving cross-team technical direction.

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.

Develop and analyze secure, resilient, cloud-based software supporting Missile Defense Agency systems. Responsibilities include designing software libraries and cloud architectures, conducting hardware-in-the-loop and cloud testing, managing APIs and interface control documents, applying AI and agentic tooling, and contributing independently or in leadership capacities. The role requires an active Secret clearance, a technical bachelor’s degree, and 10+ years of related experience, with cloud, containerization, DevSecOps, IaC, and version-control experience preferred.

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.

Designs, develops, tests, and integrates software for remote weapon and autonomous systems. Collaborates on software-hardware integration, requirements analysis, design reviews, code inspections, troubleshooting, research and development, and technical documentation. The role requires programming expertise, systems engineering knowledge, and collaboration with cross-functional engineering teams. Preferred experience includes robotics, weapon systems, AI, computer vision, embedded software, RTOS, simulation tools, and defense systems.

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.

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.

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.

Develop, test, document, deploy, and support software applications for pathology informatics and healthcare workflows. Collaborate with developers, analysts, project managers, clinicians, and leaders to gather requirements and translate clinical problems into software solutions. Support PIRO, an internal pathology search application, troubleshoot issues, maintain documentation, and assist with artificial intelligence and machine learning initiatives.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

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.

Build and lead end-to-end AI products for enterprise clients as an individual contributor. Responsibilities include setting technical direction, writing production-ready code, applying software engineering practices to AI systems, collaborating with small engineering teams, engaging directly with senior client stakeholders, and delivering multiple applied AI products across diverse domains.

Designs, builds, and operates secure, scalable cloud and GPU infrastructure platforms for enterprise AI/ML workloads. Leads architecture, production coding, Kubernetes and container operations, CI/CD, infrastructure automation, performance optimization, and reliability efforts. Partners with AI/ML and platform teams to support distributed multi-GPU training and inference. Provides technical leadership while advancing responsible AI-assisted engineering, secure SDLC practices, automation, and operational excellence.

Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.