Top Software Engineer Jobs

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.

Build and maintain full-stack features across Django/Python backends, React frontends, databases, and shared components. Develop AI-assisted engineering systems using context files, reusable skills, hooks, CI gates, and automated verification. Coordinate concurrent agent workstreams, identify architectural and logic issues, manage dependencies, and improve development processes while balancing technical debt, quality, and feature delivery.

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.

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.

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.

Designs and leads enterprise RPA automation solutions using UiPath Studio and Orchestrator. Responsibilities include gathering requirements, configuring workflows, integrating systems, troubleshooting, mentoring technical teams, engaging stakeholders, and improving automation processes. Requires 3–5 years of UiPath experience, programming and integration skills, strong communication, analytical abilities, and leadership experience. UiPath certifications and a bachelor’s degree are preferred.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

Design, develop, test, document, deploy, and support scalable full-stack applications using React, C#/.NET, and Hack. Build backend services, APIs, integrations, and AI-enabled capabilities including LLM workflows. Participate in Agile planning, code reviews, troubleshooting, client communication, and software delivery while applying modern architecture, DevOps, CI/CD, and automated testing practices.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.

Design and implement server-side logic and RESTful APIs, manage MongoDB and Redis databases, ensure security and performance, contribute to system design and architecture, review code and scope deliverables, collaborate with Product and Client Success, and maintain documentation.

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.

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.