Top Senior Software Engineer Jobs

Leads frontend and full-stack software engineering within infrastructure platforms. Responsibilities include designing, developing, testing, debugging, and securing production software; improving operational stability through automation; coaching teams on responsible AI-assisted development; evaluating architectures and vendors; promoting modern technologies; and supporting cloud-native delivery, CI/CD, resiliency, monitoring, and security practices.

Senior Software Engineer responsible for designing scalable systems serving millions of borrowers and financial partners. The role includes shaping architecture and technical roadmaps, maintaining production-grade systems, mentoring engineers, collaborating with Product, Design, and Operations, and improving organization-wide engineering practices. Teams include consumer conversion, voice AI, and compliance and money operations. The position requires in-person work at least three days per week in New York City.

Leads the architecture, development, testing, deployment, and support of scalable enterprise software. Builds backend services, APIs, and modern user experiences; designs cloud-native solutions using Azure or GCP; and drives DevOps, CI/CD, observability, security, and testing practices. The role leads modernization and AI initiatives, resolves complex production issues, mentors engineers, influences technical decisions, and collaborates with cross-functional stakeholders to deliver reliable technology solutions.

Design, develop, test, deploy, and maintain scalable payer-facing web interfaces. Build AI-powered UI capabilities, integrate APIs and microservices, establish front-end architecture, develop reusable component libraries, and ensure accessibility and security compliance. Collaborate with product, UX, and backend teams, evaluate emerging AI technologies, conduct code reviews, enforce engineering standards, and mentor junior and mid-level engineers.

Designs and develops cloud-hosted Java microservices, Kafka streams, DataStage ETL jobs, data pipelines, and cloud solutions. Mentors developers, guides application modernization, supports SQL and NoSQL databases, troubleshoots production issues, and evaluates emerging technologies and AI tools. The role also contributes to Kubernetes administration, DevOps, CI/CD, and strategic technical direction.

Design and develop scalable, concurrent C++ software for HPE’s enterprise storage platform in Linux environments. Responsibilities include building storage services and distributed systems features, debugging performance and reliability issues, developing automated tests, participating in architecture and code reviews, integrating technologies, and mentoring engineers.

Own platform performance, scalability, and reliability. Define benchmarks and SLAs, optimize services, databases, and infrastructure, execute load and scalability testing, build observability, influence architecture, lead root-cause analysis, and mentor engineers. Requires extensive software engineering experience, performance engineering expertise, distributed systems knowledge, Golang, AWS, profiling, monitoring, and database optimization skills.

Leads software engineering within JPMorgan Chase’s Commercial and Investment Bank, designing, developing, testing, debugging, and operating secure, scalable Java applications. Reviews code, improves resiliency and automation, promotes responsible AI-assisted engineering practices, and evaluates vendor and architectural solutions. Requires expertise in Java, system design, messaging, NoSQL databases, cloud-native development, SDLC, security, and financial services technology.

Develop and maintain a fraud-analysis web application and platform. Build APIs and user interfaces, write automated tests, troubleshoot production issues, collaborate with product and cross-functional teams, analyze product metrics, and support SLA compliance through production on-call rotation.

Develop and maintain a fraud-analysis web application and platform, with 60–70% frontend focus. Build APIs, collaborate with product and cross-functional teams, write automated tests, analyze product metrics, troubleshoot issues, maintain service-level requirements, and participate in on-call support. The role uses React, backend languages, databases, Docker, and AWS technologies in a remote U.S.-based environment.

Design and develop scalable, concurrent C++ software for HPE’s Alletra enterprise storage platform in Linux environments. Responsibilities include building storage services and distributed systems features, debugging performance and reliability issues, developing automated tests, conducting design and code reviews, integrating technologies, and mentoring engineers. The role requires collaboration across engineering teams and expertise in systems architecture, multithreading, operating systems, data structures, and performance optimization.

Build and operate agentic AI evaluation harnesses, provenance controls, and CI/CD integrations for machine-authored code changes. Develop automation services and test tooling using Java, Python, Shell, and related technologies; implement quality gates, audit evidence, signed attestations, rollback controls, observability, and operational support. Lead responsible adoption of AI-assisted engineering practices while validating generated outputs for correctness, security, reliability, and compliance.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.

Leads architecture, development, and operations for secure, scalable cloud-native platforms. Designs Java, React, GraphQL, and AWS solutions; oversees integrations, search, content pipelines, APIs, CI/CD, observability, resiliency, and access controls. Drives technical strategy, mentors engineers, leads cross-team initiatives, evaluates technologies, and promotes responsible AI-assisted development practices.

Leads the design, development, and delivery of scalable real-time event-based systems for bonus and offers functionality. Builds and maintains full-stack services using Go, TypeScript, React, SQL, Kafka, and GCP. Responsibilities include technical leadership, solution governance, code quality, estimation, documentation, production ownership, mentoring, coaching, and serving as an escalation point for the team.

Develop and maintain Java-focused full-stack applications, APIs, microservices, and backend services supporting Hilton.com and other customer-facing experiences. Build React-based frontend features, customize content management systems, work with databases, write automated tests, troubleshoot production issues, and optimize application performance, security, scalability, and reliability. Collaborate with architects, product owners, designers, and developers within an Agile framework.

Lead software engineering efforts for secure, scalable, cloud-native applications within JPMorganChase Asset and Wealth Management. Design and develop Python and Java microservices, APIs, and distributed systems on AWS using SQL and NoSQL databases. Drive reliability, automation, secure SDLC practices, code quality, incident resolution, and adoption of AI-assisted engineering tools. Lead technical communities and promote responsible AI use, testing, resiliency, and operational excellence.

Own the frontend platform powering Relativity Space’s operator UI, including the application shell, design system, shared data layer, and modular architecture. Lead consolidation of multiple frontends, support high-rate hardware telemetry rendering, establish frontend technical standards, and mentor engineers. The role requires deep TypeScript and React expertise, performance optimization for data-intensive applications, scalable state management, and cross-team architectural leadership.

Leads technical direction for complex distributed software platforms across release trains. Owns solution discovery, architectural standards, reference implementations, technical specifications, risk mitigation, and cross-team coordination. Guides adoption of spec-driven development and AI-assisted engineering workflows, mentors delivery teams, supports incident response, and drives scalable, resilient integration patterns and cloud-native architectures.

Develop scalable software and data infrastructure for Zscaler’s Zero Trust Exchange logging and analytics platform. Design secure databases, APIs, data models, batch and real-time pipelines processing billions of events across distributed cloud environments. Build and optimize Java-based microservices using Spring, Kafka, Kubernetes, and Docker while ensuring scalability, high availability, performance, multi-tenancy, and disaster recovery. Collaborate in agile processes and apply AI/ML technologies to improve products and engineering productivity.

Leads architecture, design, and implementation of complex full-stack software and cloud-native systems. Establishes engineering standards, secure design practices, observability, resilience, and operational readiness across React, Java, Python, and serverless platforms. Mentors engineers, guides design reviews, shapes technology strategy, evaluates tools and frameworks, and collaborates with product and architecture teams. Also advances AI-assisted engineering practices and reusable platform patterns across the organization.

Lead end-to-end development of scalable customer-facing software, APIs, and platform capabilities. Build AI-powered workflows using LLMs and agentic technologies, collaborate with Product, Design, ML, and platform teams, and drive architectural decisions, technical initiatives, customer validation, rollout, and operational excellence.

Leads software engineering within an agile corporate technology team, designing and developing secure, scalable infrastructure and applications. Responsibilities include Infrastructure as Code, Red Hat Linux environments, troubleshooting, automation, remediation, SDLC practices, AI-assisted engineering adoption, cloud-native development, resiliency, and security. The role also evaluates vendor and architectural solutions, supports operational stability, and contributes to technical standards and enterprise engineering practices.

Leads software engineering within JPMorganChase Corporate Technology, designing, developing, testing, and supporting secure, scalable infrastructure and applications. Responsibilities include Infrastructure as Code, Red Hat Linux development, cloud-native engineering, automation, troubleshooting, resiliency, and SDLC practices. The role drives responsible adoption of AI-assisted engineering tools, coaches teams on secure AI usage, improves operational stability, and evaluates vendor and architectural solutions in an enterprise financial services environment.

Lead development of scalable Java and Spring Boot microservices, REST APIs, Kafka-based event-driven systems, and cloud deployments on AWS. The role includes database optimization, CI/CD, infrastructure as code, automated testing, observability, production support, secure coding, technical design, code reviews, and mentoring. The engineer will also lead adoption and validation of AI-assisted development practices across the team.