Top Software Engineer Jobs

Designs and develops scalable data pipelines, backend services, ETL/ELT workflows, APIs, microservices, and cloud-native applications using C#/.NET, SQL, Azure, and AWS. Responsibilities include database optimization, CI/CD, automated testing, DevOps, data governance, security compliance, and translating advanced technologies into production-ready healthcare solutions. Collaborates with research, engineering, and product teams while supporting ethical, performant, and reusable enterprise capabilities.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.

Leads a team of software developers and a portfolio of technology projects focused on risk management and regulatory solutions. Builds and deploys cloud-based, AI-powered full-stack applications using distributed microservices and modern databases. Collaborates with product managers and cross-functional partners, mentors engineers, evaluates code, drives technology adoption, and oversees robust solutions using AWS and related technologies.

Build AI-powered developer infrastructure for the core servicing platform, including coding-tool harnesses, scaffolding, context retrieval systems, evaluation frameworks, and workflow automation. Integrate AI assistance into CI/CD, code review, testing, and developer feedback loops. Establish technical direction, solve cross-team engineering problems, create reusable tooling, and enable platform teams to adopt AI-assisted development at scale.

Develops secure, scalable software solutions for JPMorganChase banking applications. Responsibilities include coding, system design, troubleshooting, testing, architecture documentation, data analysis, visualization, and improving application reliability and security. The role contributes to agile engineering practices, explores emerging technologies, and supports large-scale production systems using modern programming languages, cloud technologies, and AI or machine learning capabilities.

Leads a software engineering portfolio and people-management team building cloud-based, full-stack risk technology solutions. Oversees distributed microservices, regulatory technology, AI-powered risk management tools, and collaboration with product managers. Mentors engineers, evaluates code, promotes modern technology practices, and may contribute hands-on development using multiple programming languages, databases, containers, Kubernetes, and cloud services.

Paid, full-time 11-week engineering internship focused on developing mobile device automation systems using AI, cloud databases, and current automation technologies. The intern will contribute to end-to-end automation solutions, learn 3GPP and IEEE protocol systems, integrate complex automation platforms, and support real-time KPI tracking. The program also includes professional development, mentorship, networking, community service, and presentations.

Software Engineering Intern supporting PwC’s Tax Innovation team by developing and testing software solutions with C#.NET, JavaScript, REST Client, and React Native. Responsibilities include assisting with software design, code reviews, debugging, object-oriented architecture, and implementation activities. The intern will collaborate with team members, research solutions, learn new technologies, apply feedback, and gain exposure to professional software engineering practices.

Leads engineering execution across multiple teams, sets technical direction, drives 0-to-1 product initiatives, embeds AI tooling into development workflows, and develops future engineering leaders. Partners with product, design, and recruiting to deliver high-quality software, make architectural decisions, scale platform capabilities, and connect engineering outcomes to customer and business results. This is a hybrid role requiring commutability to the NYC headquarters and in-office attendance three to four days weekly.

Engineering interns will build, test, and ship production features for web and mobile products. They will develop AI-powered automation, write and debug code, analyze usage data with data analysts, iterate with senior engineering feedback, and learn new languages, frameworks, and AI-native development practices. The role is in person at the Union Square, NYC headquarters from June through August 2027.

Leads engineering teams building AI-native ITOM Discovery products. Owns technical strategy, architecture, delivery, reliability, hiring, coaching, and organizational development. Diagnoses architecture, UX, data, cost, and feedback-loop issues; establishes engineering standards and reusable patterns; and collaborates with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, releases, compliance, and customer value.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Develop end-to-end full-stack solutions using front-end and back-end technologies, optimize existing products, and lead key Customer Hub initiatives. The engineer will make technical decisions, evaluate trade-offs, deploy reliable and tested software, mentor teammates, conduct code reviews, and drive projects in an agile environment. The role focuses on personalized ecommerce shopper experiences and expects effective, responsible use of AI in software development.

Leads software engineering teams delivering enterprise HRIS and corporate systems across cloud, SaaS, and hybrid environments. Responsibilities include setting technical priorities, guiding architecture, modernizing applications, developing APIs and platform capabilities, improving reliability and observability, and implementing Agile, DevSecOps, CI/CD, automation, and AI-enabled solutions. The manager also oversees hiring, performance management, stakeholder collaboration, responsible AI governance, cloud migrations to Azure, and engineering culture development.

Leads software engineering efforts for JPMorgan Chase’s Consumer & Community Banking organization. Provides technical direction, develops and reviews secure production code, influences application design and technical operations, and serves as a subject matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, testing, code review, troubleshooting, and responsible AI controls across teams. Requires strong software development, system design, cloud-native, operational stability, and technical leadership experience.

Software Engineer Co-op supporting Master Data Management initiatives across product, vendor, and location domains. The role involves learning and contributing to MDM implementations, data quality and AI projects, Agile Scrum practices, product ownership activities, requirements documentation, software development, database work, and troubleshooting. The co-op runs approximately six months in a hybrid environment and includes mentorship, leadership development, and project presentation opportunities.

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.

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 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 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.

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.