Top Software Engineer Jobs

Develops and maintains web applications for a government customer within an Agile team. Responsibilities include requirements analysis, software design and coding, business logic implementation, API integrations, unit and formal testing, configuration change control, production troubleshooting, cost estimation, impact analysis, and user training support. The role uses front-end and back-end technologies, AWS cloud services, and collaboration with analysts, UI/UX developers, testers, project leads, and customers.

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.

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.

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.

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.

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.

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.

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 distributed engineering teams building and operating cloud-native, AI-powered software systems. Responsibilities include hiring, coaching, performance management, delivery planning, technical decision-making, cross-functional partnership, AI-assisted development adoption, operational excellence, metrics, incident reviews, and continuous improvement. The manager will establish scalable engineering processes, guide architecture, improve reliability and productivity, and ensure secure, observable, resilient, and maintainable software delivery.

Provide technical leadership across engineering teams by defining architecture, building reusable cloud-native platforms, and designing distributed systems and production AI applications. Establish engineering standards for reliability, security, observability, governance, and operational excellence. Mentor senior engineers and technical leaders, influence architecture through collaboration, and drive modernization, AI-assisted development, and platform engineering initiatives.

Develop, test, and release full-stack production features across backend, frontend, infrastructure, architecture, analytics, and integrations. Parse complex healthcare datasets into actionable insights, contribute to data modeling and cloud pipelines, and participate in code reviews and technical decisions. The engineer will own problems end to end, collaborate with customers and product teams, and work in a hybrid NYC environment.

Lead architecture and production deployment of AI platforms across cloud and on-premises environments. Partner with enterprise architects, shape product strategy, resolve critical production issues, and implement scalable platform capabilities. Drive cross-functional alignment across Product, Engineering, DevOps, Security, ML, Customer Success, and Forward Deployed Engineering. Mentor senior engineers and improve deployment efficiency, reliability, security, observability, and scalability.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Build and maintain responsive WordPress websites, landing pages, reusable templates, and digital lead-generation experiences. Use AI-assisted development tools to accelerate coding, publishing, testing, and troubleshooting while reviewing code for quality and security. Implement technical SEO, analytics, conversion tracking, integrations, performance improvements, and QA. Manage themes, plugins, staging, deployment, backups, and website security while supporting scalable publishing workflows and collaborating with marketing and business teams.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

Lead design and delivery of a web channel framework using React/TypeScript. Drive engineering standards, testing (unit to end-to-end), CI/CD, performance optimization, RESTful services, and cross-functional agile collaboration to build a scalable SPA platform.

Lead the architecture and development of scalable platform capabilities spanning user interfaces, backend services, APIs, cloud infrastructure, and AI or agentic systems. Drive technical strategy, full-cycle implementations, and architectural improvements while ensuring security, reliability, performance, observability, and auditability. Collaborate with product, design, security, reliability, and platform engineering teams to simplify infrastructure operations and improve developer workflows.