Top Software Engineer Jobs

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.

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.

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.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

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.

Lead developer enablement for firmwide developer tools: run demos, workshops, and office hours; create reusable examples and guidance; drive responsible adoption of AI coding tools; gather feedback for platform/product teams; advocate for developers across risk, tooling, and leadership; and help shape adoption strategy and enablement content.

Develop and enhance ServiceNow applications for work order management, scheduling, dispatch, discovery, service mapping, and CMDB operations. Collaborate with stakeholders and technical SMEs, configure event rules, integrate ServiceNow services through REST APIs, manage MID servers, create custom discovery patterns, prevent duplicate configuration items, and configure identification rules and multi-tier service discovery across environments.

Serve as the technical lead for Trade Finance software solutions, directing architecture, application development, integrations, data platforms, cloud infrastructure, security, and modernization. Translate business requirements into technical designs, guide engineering teams, establish development standards, oversee software quality and production support, and evaluate emerging technologies. The role also defines AI strategy, governance, and transformation initiatives while collaborating with product, operations, compliance, vendors, and other stakeholders.