Top Software Engineer Jobs

Design, develop, test, deploy, and support robotic process automation workflows and components. Translate stakeholder requirements into technical solutions, integrate automations with systems such as SAP, troubleshoot production issues, and ensure quality, governance, documentation, and user training. Monitor automation performance and business impact while collaborating cross-functionally on workflow improvement, implementation, and ongoing support, including participation in an on-call rotation.

Design, develop, test, deploy, and support RPA workflows and bots across business teams. Translate stakeholder requirements into technical designs, integrate solutions with systems such as SAP and APIs, document processes, train users, troubleshoot production issues, and monitor automation performance. The role also includes quality assurance, governance and data-policy compliance, cross-functional project delivery, and participation in an on-call rotation.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Build and maintain Palantir Foundry data pipelines, ontologies, applications, workflows, and decision-support capabilities for defense missions. Translate stakeholder needs into technical architectures, integrate structured and unstructured data, troubleshoot production systems, and support client deployments. Collaborate with engineers, analysts, product owners, and mission stakeholders while applying testing, version control, documentation, and deployment best practices. The role requires client-site travel and eligibility for a Secret clearance.

Owns the technical design, development, maintenance, and operations of software products for CMS’s QMARS healthcare systems. Researches technologies, develops proofs of concept, mentors engineers, enforces team processes, and contributes to modernization using Python, React or Angular, TypeScript, and AI technologies. The role requires prior supervisory or lead experience and supports a remote-first team serving public health and healthcare quality improvement programs.

Leads a diverse software engineering team developing complex system software and tools. Manages headcount, budgets, schedules, project delivery, vendor partnerships, risks, and process improvements. Collaborates with technical, program, executive, and AI teams to integrate AI innovations into products and processes. Oversees hiring, coaching, performance management, and career development while providing technical guidance and ensuring high-quality, on-time execution aligned with organizational roadmaps.

Build and maintain integrations connecting APIs, workflows, data contracts, tools, and AI-powered self-service systems. Diagnose failures across payloads, APIs, workflows, and system handoffs; test assumptions quickly; and deliver practical solutions that improve operations across teams and platforms.

Lead the technical architecture for post-sales Customer Success, Renewals, Professional Services, Support, and GTM Operations. Build automation, AI capabilities, integrations, workflows, customer intelligence, and shared data models that improve retention, renewals, efficiency, and customer engagement. Establish engineering standards and technical direction across GTM systems while partnering with business leaders, engineers, and the Pre-Sales GTM Engineer.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Develop backend services, APIs, automation tools, and CI/CD workflows for virtual ECUs, software-in-the-loop simulation, orchestration, and AI-enhanced validation. Integrate simulation and AI/ML components, optimize compute-intensive workloads, manage artifacts and metadata, and collaborate with DevOps and simulation teams. The role requires software development experience with embedded or simulation systems, cloud and distributed systems knowledge, CLI and MCP architectures, and database experience.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service experiences; partner with Security, Infrastructure, and Product; mentor engineers and drive long-term platform strategy, governance, and operational excellence.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Leads full-stack software engineering within an agile Asset Management team. Develops, reviews, tests, debugs, and operationalizes secure production code using Java, Python, AWS, Spring JPA, Hibernate, PostgreSQL, REST, and GraphQL. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs, mentors technical teams, influences architecture and product decisions, and promotes SDLC automation, reusable frameworks, scalability, resiliency, and security.

Full-time hybrid summer technology internship at Johnson & Johnson from May 24 through August 13, 2027. Interns contribute to technology projects across software engineering, data engineering, AI and machine learning, cybersecurity, cloud and DevOps, UX, digital health, platform engineering, and connected devices. Responsibilities include building solutions, analyzing data and processes, collaborating with stakeholders, supporting project portfolios, and developing technology capabilities. The program may serve as a feeder into the Technology Leadership Development Program.

Participate in a summer software engineering internship developing an analytic-based web application as part of a collaborative team. Interns will help choose the application design and technology stack while gaining experience in modern software development, testing, DevOps, cloud services, databases, search technologies, front-end development, and machine learning. The program emphasizes mentorship, teamwork, communication, and preparation for potential post-graduation work supporting Northern Virginia customers.

Designs, refactors, tests, and deploys secure PowerShell automation frameworks for Navy Records Management modernization. Processes large datasets, optimizes analytics pipelines, develops dashboards and workflow tools, and improves script performance, scalability, and resilience. The role applies Pester testing, secure coding, role-based access controls, Agile delivery, and data science practices while collaborating with program managers, developers, and Navy stakeholders.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

Lead global front-office technology for credit trading, overseeing applications supporting credit portfolios, spread analysis, risk modeling, pricing, and scenario analysis. Partner with traders, sales, product development, risk, and technology leaders to define priorities, modernize architecture, adopt AI tooling, manage SDLC processes, deliver regulatory initiatives, and improve platform reliability. Lead global teams, manage resources, and drive strategic transformation across credit trading technology.

Leads development of secure, scalable Java and AWS software systems, including microservices, event-driven platforms, and production machine-learning systems. Designs data and feature pipelines, model deployment and monitoring, automation, CI/CD, and operational stability practices. Guides code reviews, testing, secure coding, vendor evaluations, and responsible adoption of AI-assisted engineering tools. Collaborates across product, data, platform, SRE, and governance teams while promoting MLOps, LLM, observability, and model-monitoring practices.

Designs, develops, reviews, and troubleshoots secure production software. Delivers Python-based solutions on AWS and Snowflake, drives automation and operational stability, leads engineering best practices, uses AI-assisted development tools responsibly, and contributes to product vision and team culture.