Top Software Engineer Jobs

Build Orpex’s AI workforce platform end-to-end as a founding engineer, member of technical staff, or applied AI engineer. Responsibilities include defining product outcomes, developing and deploying production software, speaking with users, iterating quickly, handling infrastructure and UI work, and supporting hiring. The role begins in Vienna and requires relocation to San Francisco by January 2027. Visa sponsorship and relocation support are provided.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions using Java, with exposure to React and AWS. Creates architecture and design artifacts, supports application resiliency and CI/CD, analyzes data to improve systems, and uses enterprise-authorized AI-assisted development tools while validating outputs for correctness, performance, and security.

Develops and sustains climate-data tools, products, and services for regional decision-making. The role transforms satellite, in situ, radar, and paleoclimate data into user-focused applications, supports operational transitions, and collaborates with NOAA scientists, universities, and stakeholders. Responsibilities include coding, testing, web development, data analysis, visualization, communication of technical findings, and ongoing support for climate center activities.

Develops secure, scalable software solutions for JPMorganChase Asset Management. Responsibilities include architecture and application development, production coding, troubleshooting, database optimization, cloud deployment, event processing, infrastructure automation, and responsible use of AI-assisted development tools. The engineer also analyzes data, creates technical artifacts, supports application resiliency and security, and contributes to agile team practices and reusable engineering patterns.

Lead architecture and implementation of ServiceNow’s AI Control Tower, an enterprise platform for governing AI models, agents, and datasets. Drive products from 1.0 through customer adoption, establish scalable cloud-native and distributed systems foundations, guide AI-native engineering practices, mentor engineers, conduct architecture reviews, and coordinate with product, design, and partner engineering teams. The role requires hands-on technical leadership across SaaS architecture, data platforms, observability, reliability, security, and enterprise AI infrastructure.

Designs and operates production-grade Python services, APIs, distributed systems, and cloud-native applications for enterprise machine learning platforms. The role uses AWS, infrastructure as code, observability tools, automated testing, CI/CD, and secure deployment practices. Responsibilities include architectural guidance, code reviews, mentoring, production support, resiliency engineering, and collaboration with product, platform, and site reliability teams. The engineer also helps adopt AI-assisted development practices and may build solutions using generative AI and large language models.

Design, develop, test, deploy, and maintain secure, scalable software for Mastercard’s payment enablement services. Own delivery tasks, participate in prioritization, conduct code and architecture reviews, troubleshoot distributed production systems, manage CI/CD pipelines and artifacts, improve performance and observability, and mentor engineers. Collaborate with product and business stakeholders to translate requirements into maintainable solutions while promoting engineering standards, automation, security, and operational excellence.

Hands-on CTO Co-Founder responsible for defining technology strategy, architecting and building an AI-powered healthcare payments platform, leading scalable cloud-native software development, integrating billing and payment systems, and recruiting and mentoring the engineering organization. The role spans product execution from MVP to commercial scale and requires collaboration with investors, customers, and company leadership.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Design, develop, test, and maintain software applications, including next-generation cryptographic products. Collaborate with cross-functional teams to integrate solutions, troubleshoot issues, lead software development, apply technical standards, and identify AI-driven improvements. The role requires embedded-platform development, Rust and C/C++ experience, agile practices, technical leadership, and an active Secret clearance.

Leads AI-assisted software development adoption and engineering modernization across SecDevOps teams. Oversees microservices, API integration, data modernization, automation, technical debt reduction, scalability, and cross-team coordination. Develops modernization roadmaps, tracks productivity improvements, identifies delivery risks, and communicates technical progress to executives. Requires strong software architecture, AI development tooling, engineering transformation, technical leadership, and communication experience.

Develop and maintain moderately complex RPA solutions, including design, coding, testing, troubleshooting, monitoring, and enhancements. Collaborate with business analysts, IT teams, process owners, and senior developers to gather requirements and deliver reliable automations. Support UiPath Orchestrator, deployments, version control, documentation, libraries, frameworks, schedules, and environment troubleshooting. Provide informal support to junior developers while following coding standards and best practices.

Develop and evaluate software engineering solutions supporting the Air Force ACME program, an AI-driven classification management platform. Responsibilities include software design, testing, system validation, technical documentation, program reviews, engineering support, risk management, trade-space analysis, roadmap development, and technical training across acquisition, integration, sustainment, deployment, and operations.

Build and scale reliable full-stack products for paving contractors, including AI-powered estimating, crew optimization, and automated business insights. Own system performance, security, observability, automation, testing, deployment, and technical standards. Collaborate with engineering, product, design, and company founders while helping shape team culture and development practices.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Own end-to-end deployment of enterprise AI products for global supply chain customers. Build customer-specific software extensions, APIs, bidirectional data pipelines, integrations, and agentic workflows. Partner with clients, end-users, and IT teams to translate operational needs into scalable engineering solutions, overcome technical and adoption barriers, and guide platform evolution. Codify field solutions into reusable deployment playbooks and software components.

Develop and sustain mission-critical government software and systems using Java, Python, and AWS. Implement functional and system-level automated tests, prototype cloud-based solutions, and collaborate with systems engineers within an Agile development process. The role requires U.S. citizenship and an active or reinstatable TS/SCI with Polygraph clearance.

Develop and sustain mission-critical software and systems for a U.S. Government customer. Apply Python and related technologies including Kotlin/Java, Terraform, Elasticsearch/OpenSearch, and AWS. Collaborate independently and within engineering teams while supporting reliable software solutions, Agile development, and mission-focused technical initiatives. The role requires a TS/SCI with Polygraph clearance and is based in Annapolis Junction with partial telework available after acclimation and training.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

Build and maintain scalable AI Search software across the full development lifecycle, including Java and front-end development, ServiceNow administrative tools, search UI components, GraphQL APIs, analytics dashboards, and machine-learning functionality. Own design, coding, testing, deployment, reliability, and performance optimization. Develop automated and manual tests using Jenkins, JUnit, Playwright, Selenium, and related frameworks. Collaborate with Product Owners and engineering teams in Agile Scrum processes while supporting customer-reported search UI and UX issues.

Leads the Database Monitoring engineering organization, owning product strategy, roadmap, AI feature development, market expansion, customer adoption, and commercial outcomes. Builds and scales engineering teams across geographies by hiring, mentoring, coaching, and structuring engineering managers and staff engineers. Partners with Product and customers to refine experiences, achieve product-market fit, and deliver measurable value. Requires experience deploying applications on PostgreSQL.

Develop and maintain native Android experiences and AI-powered personalization features for WHOOP’s recommendation engine. Responsibilities include Android architecture, Kotlin development, API integration, testing, performance monitoring, release management, technical documentation, code reviews, and collaboration with Product, Design, Backend, and engineering teams.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.

Provides hands-on technical leadership and architecture for Java-based enterprise business process applications. Designs reliable transaction processing, workflow, rules, data, security, and resiliency solutions; guides engineering practices; and partners with product, infrastructure, DevOps, and security teams. Leads responsible integration of AI and LLM capabilities, including RAG, inference, evaluation, monitoring, and security controls. Mentors developers and maintains architecture documentation without direct reports.