Top Software Engineer Jobs

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 scalable software supporting AI, computational modeling, and simulation initiatives. Develop APIs, internal tools, proof-of-concept applications, data workflows, and integrations that connect research outputs with engineering systems. Improve code quality through modular design, testing, documentation, code review, packaging, and dependency management. Collaborate with data scientists, modelers, engineers, platform, and DevOps teams while applying CI/CD, containerization, deployment, security, quality, and compliance practices in a regulated medical technology environment.

Develops, maintains, tests, and supports enterprise applications and integrations within WMATA’s Digital Modernization portfolio. Builds scalable data pipelines and cloud-based solutions using OCI, Azure, Lakehouse architecture, and Autonomous Data Warehouse. Provides technical leadership, resolves complex system problems, manages configuration and version control, performs failure analysis, coordinates projects, prepares technical reports, and supports system reliability, production monitoring, and emergency outages.

Build and maintain automation, data, AI, and workflow systems supporting business development and capture operations. Integrate GovDash, Microsoft platforms, CRM systems, federal opportunity sources, dashboards, and AI tools using APIs, workflows, scripts, and data pipelines. Configure proposal and opportunity processes, develop AI/ML workflows for document analysis and retrieval, create executive dashboards, and improve data quality, governance, security, and human-in-the-loop controls. Partner with business development, proposal, contracts, technical, operations, and executive stakeholders.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

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.

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.

Lead the design and evolution of cloud-native platforms, distributed systems, and infrastructure services at large scale. Define architecture across compute, networking, storage, datacenter, and AI infrastructure environments. Improve automation, lifecycle management, observability, reliability, security, and developer productivity. Guide technical strategy across engineering organizations while contributing to GPU, HPC, bare-metal, networking, and distributed computing platforms. Mentor engineers and foster technical excellence through architecture reviews and cross-organizational collaboration.

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.

Leads backend architecture and technical strategy for autonomous vehicle and customer support systems. Designs scalable integrations across Fleet, Uber for Business, Direct, and platform teams; develops proactive trip-lifecycle support, Agentic AI capabilities, reliability, and end-to-end testing frameworks. Drives cross-functional technical alignment and mentors senior engineers toward Staff-level impact.

Builds end-to-end AI Copilot experiences across voice, vision, text, and action. Owns features from concept through scalable production, collaborates with applied AI researchers, rapidly ships experiments, analyzes usage, and iterates on products used by millions. The role requires full-stack frontend and backend expertise, scalable web API development, strong Python skills, and comfort working in ambiguous, fast-moving environments.

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.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Own the full product loop: identify high-impact problems, rapidly prototype and ship AI-accelerated solutions, build internal tools and automations, collaborate with operations and business teams, and iterate based on usage and data to drive adoption and business impact.

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.

Design, develop, test, deploy, and support Genesys IVR, voice, chat, and conversational AI solutions in a cloud contact-center environment. Partner with business and technology teams to translate requirements into technical solutions, improve customer self-service, and deliver AI-powered virtual assistants and automation. The role also involves SQL-based data analysis, reporting, data quality validation, troubleshooting, and AI-assisted UX/UI prototyping and front-end development.

Develop production-quality full-stack applications using Angular, TypeScript, Java, and Spring Boot. Support AI-assisted software delivery, application modernization, data modeling, testing, debugging, documentation, and enterprise product development. Collaborate in sprint-based teams to build user-facing features, validate data, improve application performance and reliability, and create reusable AI development practices.

Architect and deliver Salesforce Agentforce solutions from design through deployment. Translate client needs into agentic topics, instructions, actions, automation, code, data structures, and scalable Salesforce integrations. Collaborate with project managers, architects, developers, designers, and customers; establish data-ingestion best practices; contribute to reusable assets; and stay current with Salesforce, generative AI, and related platform capabilities.

Build and scale front-end experiences for Alteryx AI products using React, TypeScript, and micro frontend architecture. Develop reusable UI components, integrate backend services and AI workflows, improve accessibility, performance, testing, and reliability, and guide technical direction. Collaborate across Product, Design, Backend, and Platform teams while mentoring engineers and driving modernization, architecture, and developer experience improvements.

Build Clarity’s product experiences end to end, collaborating with product design to create an intuitive user experience. Develop frontend infrastructure, abstractions, design systems, performance and monitoring capabilities. Own product improvements and make decisions amid ambiguity. Support customers, participate in sales calls and onboarding, and explore generative AI applications that solve customer problems.