Top Software Engineer Jobs

Leads enterprise accessibility engineering strategy for Spectrum’s digital products. Embeds accessibility standards into design and engineering processes, oversees automated and manual testing, guides remediation and AI-enabled innovation, and partners with Compliance and cross-functional teams. Manages accessibility roadmaps, budgets, contractors, vendors, performance targets, product initiatives, and executive communications while developing leaders and advancing accessible customer experiences.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Leads engineering projects and developers building cloud-based, AI-powered risk management solutions. Designs distributed microservices and full-stack systems, establishes technical standards, partners with architects and product managers, improves system performance, reduces technical debt, and mentors engineers. The role uses AWS technologies, modern programming languages, databases, APIs, CI/CD, infrastructure as code, automated testing, and observability within Agile teams.

Lead the design and development of secure, scalable payments platform services, including payment orchestration, fraud and risk capabilities, multi-provider integrations, bill payment products, and high-throughput backend systems. The role requires hands-on production coding, architectural leadership, mentoring, cross-functional collaboration, and advancing AI-enabled engineering workflows.

Leads technology projects and developers building cloud-based, full-stack risk management solutions. Designs distributed microservices, APIs, and reusable frameworks; establishes engineering standards; partners with product managers and architects; mentors engineers; evaluates emerging technologies and AI tools; and improves system performance, observability, and technical debt across Agile teams.

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.

Develop, test, deploy, and support software solutions and prototypes for Mastercard Foundry’s research and development initiatives. Collaborate with engineers, data scientists, designers, researchers, and product teams on emerging technologies including AI, cloud computing, and data platforms. Participate in the full software development lifecycle, apply testing and CI/CD practices, evaluate new technologies, and present technical findings. This co-op runs January through May 2027, requires 40 hours weekly, and involves working onsite at least three days per week.

Develop and maintain scalable backend applications and services using Java, J2EE, Spring Boot, APIs, microservices, and distributed systems. Integrate AI, machine learning, generative AI, AI agents, and MCP capabilities into enterprise applications. Design software architectures, implement testing and CI/CD, optimize performance, support cloud-native deployments, and ensure security, reliability, observability, and operational readiness.

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.

Architect and develop scalable full-stack benefits platforms, including customer-facing web applications, shared services, benefits workflows, and AI-driven interfaces. The role involves frontend and backend development, system scalability, observability, CI/CD, personalization, and recommendation capabilities. The engineer will mentor colleagues, establish AI-native development practices, influence technical roadmaps, and partner with Marketing, Sales, Operations, and leadership to deliver reliable benefits shopping experiences.

Leads and mentors software engineering teams while setting technical vision, strategy, roadmaps, and measurable goals. Oversees architecture, development, scaling, and operation of distributed systems and product components. Partners cross-functionally to deliver high-quality products, drive technical execution, improve engineering excellence, and manage availability, performance, privacy, security, and cost. Hires and develops engineering talent and communicates priorities and outcomes to senior stakeholders.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Leads architecture and engineering for consolidating global wide area networks into a unified platform. Defines carrier-scale routing, traffic engineering, resiliency, automation, telemetry, validation, and AI-assisted operational strategies. Oversees transformation plans, migrations, production rollouts, technical standards, risk controls, and reliability improvements while partnering across engineering, infrastructure, cloud, security, operations, and architecture teams.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

Leads enterprise software engineering, platform reliability, release management, incident response, disaster recovery, and system performance initiatives. Designs and deploys Java, microservices, cloud, streaming, and AI-powered solutions; leads production war rooms and root-cause analysis; manages change workflows, security remediation, observability, and legacy-to-cloud modernization. Partners with Development, DevOps, Security, and vendors to improve availability, scalability, automation, and operational excellence.

Design and implement software for prototypes and production applications within an agile engineering team. Collaborate with business, marketing, and UX partners; contribute to product ideation, rapid prototyping, data analysis, user interfaces, custom algorithms, and emerging technology experiments. Participate in hackathons, meetups, and technical learning opportunities while helping develop innovative insurance technology products.

Entry-level technology program participants complete a six-month training and development experience before joining an engineering team. They build, test, and debug software, contribute to agile projects, practice code quality and security, learn modern architecture, and use AI-assisted development tools. The program emphasizes mentorship, collaboration, continuous learning, systems thinking, and delivering customer-focused software solutions.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Architect and scale enterprise software for experimentation, audience segmentation, and customer journey decisioning across marketing and messaging platforms. Build high-performance, AI-powered systems using machine learning, agentic workflows, distributed streaming, and personalization. Partner with data science, product, and engineering teams; mentor engineers; and drive technical excellence, experimentation, and innovation.

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.

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 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.