Top Software Engineer Jobs

Design, develop, test, deploy, and maintain secure, scalable software for Mastercard’s payment enablement services. Own delivery tasks, participate in prioritization, conduct code and architecture reviews, troubleshoot distributed production systems, manage CI/CD pipelines and artifacts, improve performance and observability, and mentor engineers. Collaborate with product and business stakeholders to translate requirements into maintainable solutions while promoting engineering standards, automation, security, and operational excellence.

Develop and maintain scalable .NET applications for Optum Bank’s transaction-heavy banking platform. Responsibilities include designing microservices, deploying applications, participating in Scrum ceremonies, leading complex projects, mentoring developers, optimizing SQL Server solutions, supporting CI/CD, and building responsible AI-powered solutions. The role also involves translating complex concepts and influencing senior stakeholders.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Conduct quantitative research on exchange technology and large datasets, design strategies for ultra-low-latency trading, and develop AI agents, ETL pipelines, and Python algorithms. Reverse-engineer and stress-test network and systems technologies, collaborating with traders and hardware and software engineers to optimize liquidity-taking and quoting strategies.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Leads an agile software engineering team developing secure, scalable Java and microservices solutions on AWS. Designs, develops, tests, debugs, and reviews production code; improves application resiliency and operational stability; promotes automation and AI-assisted engineering practices; validates AI outputs for security and correctness; and evaluates architectural solutions from vendors and internal teams.

Leads software and data architecture across complex defense programs spanning aviation, space, and infrastructure. Sets technical direction, develops proof-of-concepts, writes production software, and transitions solutions into operational capabilities. Mentors technical staff, supports proposals and business development, reviews enterprise programs, collaborates with customers and partners, and represents the company at industry events. The role requires broad software engineering knowledge, familiarity with data science and AI/ML, lifecycle management expertise, and supervision of technical teams.

Design, develop, troubleshoot, and maintain distributed cloud-native payment services using Java, Kotlin, AWS, Docker, Kubernetes, Kafka, and MongoDB. Build secure, high-availability systems across the full software development life cycle, using Terraform and Jenkins for automation. Apply AI-assisted development practices and integrate AI or machine learning capabilities into production payment applications. Collaborate in an agile environment while supporting operational stability, resiliency, and security.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Design AI-powered automation, analyze usage data with data analysts, iterate rapidly with AI-assisted development, and learn new languages, frameworks, and development practices. The role requires in-person work at the San Francisco SOMA office three to four days per week.

Engineering interns will build, test, debug, and ship web and mobile product features alongside senior engineers. They will develop AI-powered automation, analyze usage data with data analysts, iterate rapidly using AI-assisted development, and learn new languages, frameworks, and AI-native practices. The role is in-person at the company’s Union Square, NYC headquarters from June through August 2027.

Leads software engineering within an agile Digital Utilities team, designing, developing, testing, troubleshooting, and maintaining secure, scalable production systems. Reviews code, improves application resiliency and operational stability, automates recurring remediation, and promotes enterprise-approved AI-assisted development practices with rigorous validation for security, correctness, and performance. Evaluates architectural solutions with vendors and internal teams while supporting financial services technology objectives.

Leads software engineering for secure, scalable, cloud-native microservices applications. Designs, develops, tests, troubleshoots, and reviews production code; improves resiliency, automation, and operational stability; and drives zero-downtime architectural practices. Promotes enterprise-authorized AI-assisted development, establishes validation and secure coding standards, coaches engineers on responsible AI use, and leads communities of practice. Collaborates in agile teams to deliver end-to-end full-stack solutions across business functions.

Leads engineering teams delivering automation and robotic process automation solutions across the service organization. Partners with product, operations, and technology leaders to modernize processes, reduce manual work, improve quality, and develop AI-enabled capabilities. The manager is responsible for team leadership, technology strategy, responsible AI adoption, operational excellence, stakeholder collaboration, and delivering practical business value through software solutions in an agile environment.

Build and deploy quantitative risk models, pricing libraries, margin replication tools, and real-time monitoring systems for futures markets. Integrate AI and machine learning for predictive risk modeling, anomaly detection, and trading surveillance. Support live trading, investigate incidents, analyze market behavior, and implement systemic fixes. Collaborate with traders and engineering teams, guide risk-tech architecture, and mentor junior staff. Coverage during Asian market hours may include early mornings or overnight shifts.

Supports technology operations and AI automation for cellular networking workflows. Identifies manual processes, documents requirements, develops scripts, applications, dashboards, integrations, and automation frameworks, and prototypes AI-assisted solutions. Cleans and validates operational data, performs testing, documents solutions, monitors deployments, and resolves issues. Collaborates with RAN engineering, construction, field operations, project management, and business teams while following cybersecurity, privacy, access-control, confidentiality, and responsible-AI requirements.

Leads multiple engineering teams and managers, defining technical strategy, improving stability and quality, and ensuring predictable delivery. Partners with Product, Architecture, business stakeholders, and external partners to prioritize solutions, manage technical debt, and support organizational growth. Develops engineering talent and standards while advancing cloud, DevOps, event-driven architecture, reliability, security, and AI-driven automation initiatives.

Design, build, test, and launch reliable, scalable business insurance products and AI-powered customer experiences. Partner with product, design, and cross-functional teams to iterate using feedback and metrics. Lead multi-quarter projects from scoping through delivery, communicate technical tradeoffs, and mentor engineers through pairing, code review, and knowledge sharing.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Lead and contribute to full-stack Java/React development, design secure high-quality production code, drive adoption of AI-assisted engineering, improve automation and operational stability, evaluate vendor architectures, and lead engineering communities of practice while promoting resilient, secure CI/CD practices.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Designs, develops, debugs, and troubleshoots full-stack Java/Spring Boot microservices on AWS. Collaborates in Agile teams, applies CI/CD, works with Oracle and Kafka, uses enterprise AI-assisted coding tools, ensures secure, resilient, and scalable software, and contributes to engineering communities and best practices.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead a software engineering team to design, build, and maintain secure, resilient Java-based applications. Develop and review production-quality code, drive adoption of AI-assisted engineering practices, automate remediation and SDLC tooling, evaluate vendor solutions, and coach engineers on secure and responsible AI use. Promote reuse, operational stability, and agile/CI-CD practices within financial services applications and cloud-native environments.

Build and ship full-stack AI features using Ruby on Rails and React, including AI agents, RAG systems, evaluations, observability, and LLM inference infrastructure. Design experiments and A/B tests, optimize production performance and reliability, and collaborate with leaders and designers to iterate rapidly on customer-facing solutions.