Top Software Engineer Jobs

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 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.

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 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.

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.