Top Software Engineer Jobs

Designs and delivers Power BI features within Microsoft Fabric, applying AI-native development practices across the SDLC. Provides technical leadership, mentors engineers, guides stakeholders, confirms customer requirements, and supports large-scale production services through on-call incident monitoring. Requires strong software architecture, distributed systems, cloud platform, reliability, performance, security, and AI expertise.

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.

Design and build scalable automation for marketing content and sites. Develop maintainable, testable software, apply AI-native engineering practices, and use telemetry and feedback to improve performance and user outcomes. Implement security, reliability, compliance, deployment, and monitoring best practices for marketing applications while collaborating with stakeholders and promoting engineering principles across teams.

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.

Leads development of secure, scalable software solutions within an agile financial-services environment. Responsibilities include designing, coding, testing, debugging, reviewing production code, improving application stability through automation, applying AI-assisted engineering practices responsibly, and evaluating vendor and architectural solutions. The role requires advanced Python expertise, cloud-native experience, SDLC proficiency, software security knowledge, and familiarity with banking technology systems.

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

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.

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.

Lead performance architecture and optimization strategies for AI inference services, focusing on maximizing throughput and minimizing latency for advanced models. Mentor the team, collaborate on product features, and maintain expertise in GPU architectures and open-source projects.

Lead design and deliver AI-native, cloud-native software components; develop secure high-quality production code; drive adoption of AI-assisted engineering practices, CI/CD automation, SDKs and reusable frameworks; mentor engineers and lead cross-team communities of practice.

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.

Participate in a 10-week onsite technology internship, contributing to agile team initiatives across software development, data science, cybersecurity, cloud, infrastructure, UX, integrations, project management, robotics, and support. Interns collaborate with mentors and stakeholders, develop secure systems, perform root-cause analysis, improve reliability and efficiency, and deliver a team project. The program includes training, networking, site visits, and exposure to potential full-time opportunities.

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.