Top Software Engineer Jobs

Develop, test, deploy, document, and maintain Java or C++ software for space systems supporting real-time situational awareness. Collaborate with systems, hardware, and test engineers on a small Agile team, modernize existing capabilities, work across the software development lifecycle, and take ownership of portions of the codebase. This is a full-time onsite role requiring an active TS/SCI clearance and CI polygraph eligibility.

Develop and deploy reliable, customer-facing frontend web applications using modern JavaScript and TypeScript technologies. Responsibilities include gathering requirements, implementing high-fidelity designs, researching UI/UX patterns, proposing technical solutions, testing, optimizing performance and security, and collaborating with and mentoring engineering team members.

Build and support secure, scalable cloud-native connectivity platforms using Golang and AWS. Responsibilities include architecture, API and database design, testing, deployment, observability, security, troubleshooting, performance tuning, code reviews, mentoring, and stakeholder collaboration. The role focuses on Mastercard Cloud Connect initiatives serving public cloud and private network customers.

Leads architecture, design, development, modernization, testing, deployment, and operational excellence for secure, scalable enterprise software platforms. Acts as a hands-on engineer and architect, drives technical decisions and modernization roadmaps, implements cloud-native and microservices solutions, improves performance and resiliency, resolves complex production issues, enforces secure engineering standards, and mentors engineers across global teams.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

Leads architecture and technical direction for scalable, high-availability software services. Owns complex, multi-team initiatives, makes autonomous technical decisions, partners cross-functionally, mentors engineers, establishes standards, and advocates for quality. The role develops mission-critical systems supporting millions of endpoints and requires deep Java expertise, scalable system design, API development, relational databases, and strong testing practices.

Design, develop, deploy, and support scalable enterprise software, data pipelines, APIs, microservices, cloud services, and AI-powered solutions for healthcare quality systems. Collaborate across engineering, product, QA, and operations teams throughout the software lifecycle. Troubleshoot production issues, participate in architecture and code reviews, improve engineering practices, and mentor junior engineers.

Leads multiple engineering domains for a regulated, high-throughput financial platform. Responsibilities include hands-on Java and cloud-native development, distributed systems architecture, Kafka event pipelines, AWS infrastructure, production reliability, automated testing, and cross-functional stakeholder communication. The role also establishes enterprise standards for agentic AI-enabled engineering, SDLC automation, governance, security, resiliency, and responsible AI adoption while managing large engineering teams and influencing senior leaders.

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.

Designs and delivers secure, scalable AWS data-platform software. Writes production code, builds data processing using Glue/EMR/Redshift/Athena/Lake Formation, leverages AI-assisted dev tools responsibly, produces architecture artifacts, and drives CI/CD, resiliency, and security improvements.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Build and operate Java and Spring Boot backend services that enrich automotive leads, process high-volume event streams, and power dealer APIs. Responsibilities include technical design, implementation, testing, code review, production support, observability, and on-call participation. The role also involves developing LLM-backed intelligence features, collaborating with product and design, and improving deployment and operational practices.

Own the strategy, architecture, and execution of a large-scale internal developer platform supporting 1,000+ services and 1,000 engineers. Lead developer portal, observability, monitoring, feature-flagging, progressive delivery, self-service tooling, CI/CD standards, and platform adoption. Establish engineering standards, scorecards, release-readiness controls, and resilient operating practices. Guide agentic AI-enabled development workflows with responsible AI guardrails, security, auditability, and human validation while influencing senior technical leaders across the organization.

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.

Lead development of secure, scalable iOS applications within an agile banking technology team. Responsibilities include designing and delivering production code, reviewing and debugging contributions, applying AI-assisted engineering practices, improving automation and operational stability, troubleshooting technical issues, and evaluating architectural solutions with vendors and internal teams. The role also requires mentoring teams on responsible AI use, supporting API integrations, and maintaining high standards for testing, resiliency, security, and application performance.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Develops secure, scalable software solutions for JPMorganChase Asset Management. Responsibilities include architecture and application development, production coding, troubleshooting, database optimization, cloud deployment, event processing, infrastructure automation, and responsible use of AI-assisted development tools. The engineer also analyzes data, creates technical artifacts, supports application resiliency and security, and contributes to agile team practices and reusable engineering patterns.

Design, build, test and operate cloud-native back-end microservices using Java. Ensure secure, scalable, reliable systems, optimize data access and performance, support production lifecycle and incident management.

Lead software engineering for secure, resilient, scalable platforms and data pipelines. Responsibilities include designing production systems, writing and reviewing code, troubleshooting, improving automation and operational stability, adopting responsible AI-assisted development practices, evaluating architectures, and building micro-frontends. The role uses distributed data platforms, orchestration, lakehouse technologies, hybrid cloud environments, backend services, and modern JavaScript or TypeScript interfaces.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.

Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.

Design, build, and operate high-throughput backend services and scalable APIs for insurance and fintech products. Lead cross-team initiatives across pricing, checkout, booking, and servicing systems. Launch zero-to-one products, iterate post-launch, write maintainable performant code, troubleshoot distributed systems, leverage AI-assisted development tools, and participate in quarterly on-call rotation.

Design, build, and operate scalable backend services and APIs. Lead technical solutions from requirements through deployment and support, drive architecture and reliability improvements, integrate AI/ML capabilities, and optimize distributed systems for high throughput and low latency. Collaborate across teams, conduct code reviews, mentor engineers, support incident response and root-cause analysis, and promote automation, observability, security, and operational excellence.

Design, build, and operate scalable backend services and APIs. Develop AI- and LLM-enabled capabilities, including agent integrations and retrieval workflows, while implementing guardrails for security, privacy, and reliability. Own features throughout design, development, deployment, monitoring, and incident response. Collaborate across teams, use metrics and experimentation to guide decisions, and mentor engineers on responsible AI-assisted development.

Lead design and implementation of complex, large-scale payment systems; drive architecture and reliability across distributed services; mentor engineers; integrate AI/ML features; collaborate with cross-functional stakeholders to deliver scalable, maintainable solutions and operational excellence.