Top Software Engineer Jobs

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.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own end-to-end feature delivery, including architecture, API integration, data modeling, testing, performance, reliability, and release support. Collaborate with product, design, and backend teams to create accessible conversational travel-planning and booking experiences. Integrate AI/ML capabilities responsibly, contribute to native platform interoperability, improve engineering architecture and standards, and mentor other engineers.

Build and maintain Layla’s cross-platform Flutter mobile applications for iOS and Android. Own features end to end, including design, API integration, data modeling, testing, release, and support. Collaborate with product, design, and backend teams to create accessible, performant travel-planning and booking experiences. Integrate AI-driven capabilities responsibly, improve mobile architecture and reliability, contribute to native interoperability, and mentor engineers.

Build fast, accessible, component-based web experiences for Layla’s AI-powered travel planning and booking platform. Translate designs into maintainable frontend code, integrate AI/ML capabilities, improve performance and reliability, run product experiments, and collaborate across Product, Design, and backend engineering. Contribute to frontend architecture, accessibility, quality, and reusable patterns while mentoring engineers through reviews and knowledge sharing.

Build fast, accessible, component-based web interfaces for Layla’s conversational AI travel-planning and booking experience. Translate designs into maintainable React applications, collaborate across Product, Design, and backend teams, integrate AI/ML capabilities responsibly, optimize performance and reliability, run experiments, influence frontend architecture, and mentor engineers through reviews and knowledge sharing.

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.

Leads enterprise software engineering enablement, AI and innovation strategy, and large-scale technology transformation. Drives adoption of modern engineering practices, cloud technologies, automation, AI solutions, governance, and modernization initiatives. Advises executives, establishes technology standards and transformation frameworks, partners across business and technology teams, manages strategic vendors, and builds high-performing engineering organizations. The role requires delivering measurable outcomes in a complex, regulated banking environment.

Design and develop complex applications using Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch. Collaborate cross-functionally to create scalable solutions, anticipate technical issues, and support system architecture. Perform automated testing and maintenance. The role requires a TS/SCI clearance with polygraph and substantial software development experience, along with a bachelor's or master's degree. Preferred experience includes Java, JavaScript, SharePoint, Oracle, MongoDB, Solr, OpenAI, and other AI technologies.

Develop and architect complex software applications for intelligence-sector challenges. The role uses Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch while collaborating cross-functionally, creating automated tests, and maintaining application solutions. Candidates must hold a TS/SCI clearance with polygraph, possess a bachelor’s degree with 10+ years of experience or a master’s degree with 8+ years, and complete a skills assessment.

Leads the Slack Salesforce Integrations engineering team, managing frontend and backend engineers while driving product execution, technical strategy, hiring, mentoring, and career development. Partners with Product, Design, Data, and Marketing to build roadmaps, prioritize initiatives using data, ship enterprise features, and apply AI to improve products and engineering workflows. Provides architectural guidance, fosters psychologically safe teams, and collaborates with engineering leaders on priorities and processes.

Leads the strategy, architecture, and delivery of Cognex’s Applied AI platform for industrial automation. Directs applied AI research, cloud and edge platform engineering, production reliability, security, scalability, observability, and cost efficiency. Partners across product, hardware, UX, and R&D to ship customer-focused capabilities, drives platform adoption, and builds a high-performing engineering organization. Requires extensive software engineering and leadership experience, cloud and backend expertise, and familiarity with modern AI application architectures.