Top Software Engineer Jobs

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.

Lead the architecture and development of a scalable mobile ecosystem across iOS and Android. Design AI agentic workflows using LLMs, modernize legacy systems with .NET and cloud-native technologies, and oversee mobile CI/CD and Azure Kubernetes deployments. The role provides technical mentorship, establishes coding standards, leads architectural decisions, and drives high-scale testing and reliability across global construction technology solutions.

Lead full‑stack design, development, and maintenance of scalable financial applications across front-end, back-end, and databases. Build RESTful APIs and microservices, participate in code reviews, troubleshoot production issues, mentor junior developers, and adopt AI/LLM tools and cloud/container platforms to improve delivery and security.

Build full-stack internal applications, automation platforms, and AI-enabled tools for aerospace engineering and business teams. Own a major software project from requirements through deployment, developing interfaces, backend services, APIs, databases, integrations, and LLM-powered capabilities. Collaborate with stakeholders, gather user feedback, iterate on solutions, and deliver production-quality software.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

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.

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.

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.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

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.

Develops, configures, tests, integrates, and supports ServiceNow solutions, workflows, applications, and ITSM capabilities. Applies generative AI, machine learning, and intelligent automation knowledge to design and implement AI-enabled ServiceNow solutions. Translates business requirements into technical designs, supports upgrades and production incidents, contributes to proofs of concept, performs troubleshooting and root cause analysis, and participates in on-call support, code reviews, and continuous improvement.

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.

Design and deliver AWS-based integration architectures connecting clinical, supply chain, and enterprise systems. Implement API-first and event-driven patterns, infrastructure-as-code, CI/CD, and hybrid cloud integrations while ensuring regulatory compliance and supporting delivery teams.

Owns the strategy, development, integration, administration, governance, and continuous improvement of enterprise business applications. Designs workflows, automations, APIs, AI-enabled solutions, data models, reporting, and integrations across Dynamics 365, Power Platform, HubSpot, Copilot, and Azure services. Gathers requirements, documents processes, supports Agile delivery, manages vendors, develops training, and improves operational efficiency through automation and AI.

Build and optimize scalable frontend applications for Seekr’s AI platform using React and Next.js. Collaborate with ML, backend, DevOps, QA, and Product Design teams to rapidly deliver performant web features. Contribute to technical direction, automated testing, API integration, deployments, and continuous improvement of frontend architecture and user experiences.

Build enterprise Angular applications for conversational AI, agent workflows, dashboards, and real-time monitoring. Integrate APIs, LLMs, RAG, tool calling, streaming responses, and human-approval workflows. Develop reusable components, manage application state, ensure accessibility, security, performance, and cross-browser compatibility, and write unit and end-to-end tests. Collaborate with product, UX, backend, and AI teams while contributing to technical design, code reviews, and mentoring.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.