Top Software Engineer Jobs

Lead an agile engineering team to design, build, and operate high-scale, secure Java applications and internal developer platforms. Drive adoption of enterprise-authorized AI-assisted development tools, improve observability and reliability (SLOs, alerting), own on-call and incident response, and mentor peers on responsible AI usage and best engineering practices.

The Staff Forward Deployed Engineer at GitLab works with strategic accounts to adopt GitLab and GitLab Duo Agent Platform, guiding technical discovery and building reusable solutions for complex enterprise environments.

Software Engineer Interns will help develop, test, and operate integrated cloud services supporting AI-powered hardware products. Responsibilities include collaborating with hardware, AI, platform engineering, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems independently and collaboratively; and communicating across teams to deliver reliable solutions.

Leads Anthropic’s Forward Deployed Engineering organization, hiring and developing engineers, overseeing enterprise customer engagements, reviewing architectures and code, and establishing repeatable deployment playbooks. The role partners with Sales, Product, and Engineering to translate customer insights into product improvements. It is a player-coach position requiring technical discovery, prototyping, debugging, operational planning, and executive-level customer communication. Travel to customer sites is required 25–50% of the time.

Lead and grow a high-performing engineering team while remaining hands-on with architecture, system design, code review, and technical decisions. Own roadmap planning and delivery, build scalable and reliable infrastructure, improve observability and performance, and partner with product, design, and leadership to solve ambiguous problems. The role also involves hiring, mentoring, developing engineering culture, and ensuring systems deliver measurable customer impact.

Two-year technology associate rotation program featuring four six-month assignments across application delivery, operations, analytics, UX, cloud, data engineering, AI, cybersecurity, front-end and full-stack development, testing, and product development. Associates complete technical deliverables, collaborate with stakeholders, support projects, and develop skills leading to a permanent Technology division role. Candidates must be recent or upcoming technical-degree graduates with relevant internship, leadership, mentorship, or solution-development experience.

Leads full-stack software engineering for JPMorganChase’s Wholesale Credit Risk technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application resilience and operational stability; promotes responsible AI-assisted engineering practices; automates recurring remediation; and evaluates architectures and technologies with vendors and internal teams. The role requires cloud-native development, agile SDLC expertise, financial services knowledge, data architecture, modern front-end technologies, GraphQL, and API development.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead and contribute to full‑stack AI initiatives for Capital One Shopping. Design, implement, and deliver cloud-based services and AI-driven features, mentor engineers, collaborate with product teams, and evaluate emerging technologies to scale experiences for millions of users.

Build and guide scalable full-stack portfolio management platforms using AI-enabled engineering practices. Define technical direction, architecture, specifications, and delivery plans; design resilient distributed systems; contribute to design and deployment reviews; provide production support with an SRE mindset; mentor engineers; establish governance and quality standards; and collaborate globally with product, engineering, and business leaders. The role emphasizes Java, React, Angular, APIs, event-driven architecture, TDD, BDD, cloud-native platforms, and responsible AI integration.

Leads enterprise software architecture and hands-on development for complex strategic initiatives. Designs scalable microservices and micro frontend systems, develops cloud-agnostic applications, integrates AI/ML models and RAG capabilities, and establishes DevSecOps practices. Drives proofs of concept, technology innovation, solution engineering, and cross-functional delivery. Leads, mentors, and inspires engineering teams while partnering with architecture, product, business, data science, and IT stakeholders to deliver secure, high-quality solutions.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

The Grid Engineer designs and supports grid infrastructure for EDA workflows, enhancing performance and collaborating with engineering teams.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Lead a team to design and deliver cloud-based full-stack microservices and applications, collaborate with product managers, mentor engineers, experiment with emerging technologies (AI/LLM), and ensure solutions meet regulatory and customer needs using modern languages, databases, containers, and AWS services.

Develop and maintain business web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, designing and coding software, implementing business logic, developing web API interfaces, conducting unit and formal testing, managing configuration changes, estimating enhancements, troubleshooting production issues, and supporting user documentation and training.

Leads multiple software engineering departments and sets strategy for transactional data, analytics, and AI platforms. Directs agentic AI-enabled engineering and SDLC automation, establishes governance and security guardrails, and prepares data applications for AI agent consumption. Oversees large-scale distributed systems, cross-functional delivery, data quality, resilience, incident response, stakeholder alignment, and talent development across a global banking organization.