Top Software Engineer Jobs

Lead software engineering for a fixed-income trading services team, with a focus on UI modernization and backend development. Design and implement Angular-based micro-frontends, Java services, REST APIs, and cloud solutions. Drive testing, code reviews, performance, CI/CD, releases, and production support. Collaborate with product, UX, architecture, and technology teams while mentoring engineers and guiding technical designs in an agile environment.

Own enterprise engineering efforts by designing agentic AI workflows, automation pipelines, and integrations across ServiceNow, identity, monitoring, and SaaS systems. Troubleshoot large-scale hybrid infrastructure, resolve incidents, identify root causes, and build self-service solutions. Develop full-stack applications, APIs, dashboards, runbooks, and knowledge resources while mentoring engineers and improving enterprise support through AI-driven automation.

Leads software development for scalable production applications, including API and microservice design, testing, deployment, monitoring, performance, security, and resilience. Provides technical direction, mentors engineers, contributes to architecture and reusable code, coordinates technical initiatives, and partners with product and engineering teams through delivery. The role focuses on high-volume backend systems, databases, modernization, and reliable transaction platforms.

Develop and maintain web applications using C#, .NET, Angular, SQL, and microservices. Responsibilities include coding, testing, debugging, API and application integration, database querying, technical documentation, process improvement, and collaboration with DevOps, QA, database, and analyst teams through Agile delivery. The role supports both new application development and enhancement of existing enterprise software.

Develops, supports, and deploys enterprise and customer-facing native mobile applications for iOS and Android. Responsibilities include architecture, API and cloud integrations, performance monitoring, troubleshooting, security, automated testing, release management, app store publishing, technical documentation, and disaster recovery. The role collaborates with UX, product, and backend teams, leads implementations, mentors junior engineers, and helps establish development standards and controls.

Lead the architecture and implementation of scalable, reliable software platforms supporting machine learning, robotics, and company operations. Own technical direction across backend services, infrastructure, internal tools, data systems, and customer-facing applications. Collaborate with robotics, hardware, and operations teams, make pragmatic architectural decisions in ambiguous environments, and build high-leverage systems that improve organizational effectiveness.

Lead architecture and implementation of core software platforms spanning backend services, infrastructure, applications, machine learning systems, data pipelines, internal tools, and customer-facing products. Own complex systems, establish technical direction, make architectural tradeoffs, and build scalable, reliable solutions. Collaborate with robotics, hardware, operations, and other teams to improve company effectiveness at scale.

Leads the design and evolution of a scalable Data-as-a-Service platform. Builds distributed systems, real-time and micro-batch data pipelines, streaming architectures, self-service APIs, and data applications supporting robotics, manufacturing, clinical data, analytics, and AI/ML. Provides architectural direction, establishes data standards, improves reliability and performance, promotes CI/CD and infrastructure-as-code practices, and mentors engineers while driving cross-functional technical initiatives.

Design, build, and evolve scalable Data-as-a-Service platform components, including distributed systems, streaming pipelines, data transformations, APIs, and microservices. Develop high-throughput data delivery for robot, manufacturing, and clinical data while supporting analytics and AI/ML applications. Apply CI/CD, automated testing, infrastructure-as-code, and cloud technologies. Collaborate cross-functionally, participate in technical planning and reviews, mentor junior engineers, and lead moderately complex data projects.

Designs, builds, and enhances scalable data products, reporting solutions, and AI-ready enterprise data experiences. Translates complex requirements into secure, maintainable applications; contributes to architecture decisions; provides technical leadership; mentors engineers; and promotes quality practices including testing, code reviews, CI/CD, observability, and production support.

Design, build, and maintain scalable backend services, microservices, APIs, and distributed systems for Uber Freight’s logistics platform. Lead architecture, data modeling, reliability, testing, deployment, and production health initiatives. Partner with product and operations teams to deliver complex logistics features, guide technical roadmaps, troubleshoot failures, conduct post-mortems, and mentor engineers.

Design, build, and maintain scalable full-stack applications for Uber Freight’s logistics platform using backend services and React interfaces. Lead architecture, technical scoping, testing, security, deployment practices, and roadmap planning. Collaborate with product, design, and data science teams, troubleshoot production issues, conduct code reviews, mentor engineers, and improve system reliability, performance, and maintainability.

Design and build scalable backend services, microservices, APIs, and distributed systems for a logistics platform. Lead architecture, data modeling, testing, deployment, reliability, and production troubleshooting. Partner with product and operations teams to deliver complex features, shape the technical roadmap, resolve technical debt, and mentor engineers while promoting strong engineering practices and system availability.

Design, build, and maintain end-to-end logistics applications spanning backend services, APIs, distributed systems, and React interfaces. Lead architecture, technical design, testing, security, deployment practices, and product delivery. Identify scalability and technical debt opportunities, resolve production issues, mentor engineers, conduct code reviews, and influence the platform’s technical roadmap.

Develop core ArcGIS data management and access frameworks supporting relational and graph information models. Extend integrations with relational and NoSQL databases, build full-stack software components, and collaborate in an Agile Scrum environment. The role requires strong C/C++, Java, database, concurrency, performance optimization, debugging, and software development skills, along with experience using connectivity APIs, source control, testing, and continuous integration.

Maintains and troubleshoots containerized applications, upgrades services, and supports development of new functionality. Integrates, installs, configures, compiles, and supports COTS/GOTS software across heterogeneous operating systems. Automates administrative workflows using Bash or PHP, develops with Python and Java, applies IaC and CI/CD practices, manages Docker environments, documents system changes, and uses Git for collaborative source control.

Design, develop, maintain, and modernize backend web applications and services using C# and .NET. Analyze legacy systems, improve architecture, write unit tests, conduct code reviews, troubleshoot production issues, and build RESTful services. Collaborate with engineering, product, architecture, and project stakeholders to deliver scalable, maintainable solutions. The role also evaluates cloud-native technologies and supports continuous improvement across the FacilityOS platform.

Designs, develops, maintains, and supports tools and services integrating Atlassian products including Jira, Confluence, Bitbucket, and Bamboo. Responsibilities include configuring and customizing integrations, scripting automation with Bash, Python, or Groovy, troubleshooting failures and performance issues, testing reliability, and collaborating with developers, administrators, project managers, and mission customers. The role requires Linux CLI experience and support for heterogeneous Unix environments.

Design and implement high-throughput, low-latency GPU or FPGA acceleration pipelines for a government mission program. Develop accelerator kernels, host-side APIs, device drivers, and runtime libraries in C/C++. Optimize GPU microarchitecture, data streaming, occupancy, and memory utilization while collaborating with software engineers, algorithm researchers, and system architects.

Develop and scale full-stack, AI-enabled enterprise systems supporting CMS modernization. Responsibilities include designing Python and React applications, RESTful APIs, microservices, NLP and LLM integrations, CI/CD pipelines, cloud-native deployments, performance optimization, observability, testing, secure coding, and architectural leadership. The role collaborates with design, product, data science, and DevOps teams to improve healthcare services and automate operational processes.

Build and modernize full-stack document management applications using Java, Spring Boot, Node.js, Vue.js, TypeScript, and React. Design microservices, REST APIs, Kafka event integrations, Salesforce connections, and AWS/Kubernetes deployments. Develop automated tests and CI/CD pipelines, maintain legacy services, collaborate across technical and business teams, and mentor engineers through code reviews and architecture discussions. The role also involves evaluating AI-generated code and extending AI coding workflows with skills and MCP connections.

Lead the US Platform squad while remaining hands-on in production code. Own contracts across payments, bank connectivity, risk, and infrastructure; build complex cross-domain changes; maintain API specifications and contract tests; lead critical incident responses; and conduct load testing, failure drills, and capacity planning. The role requires deep distributed systems expertise, payment-platform experience, technical leadership, product judgment, and practical use of AI in regulated systems.

Own end-to-end engineering projects, build scalable backend services and React experiences, and expand a core API handling millions of daily requests. Investigate production issues, participate in code reviews and interviews, and collaborate on product roadmaps. The role requires strong software engineering expertise, scalable application development experience, and the ability to balance speed with reliability. Fintech, data pipeline, payment rail, and DevOps experience are advantageous.

Senior Software Engineer responsible for architecting, developing, modernizing, and supporting enterprise applications using Microsoft technologies, cloud platforms, microservices, and APIs. The role leads IBM i modernization, SQL Server optimization, Azure cloud adoption, AI and generative AI integration, DevOps automation, architecture standards, code reviews, and team mentoring.

Develops, integrates, tests, deploys, and maintains software and infrastructure for E-2D surveillance systems. Responsibilities include environment automation, configuration, software-hardware integration, formal testing, requirements analysis, technical documentation, customer collaboration, and troubleshooting complex integration problems. The role works with program teams, suppliers, government customers, engineers, and technicians, provides technical leadership, and requires travel between Patuxent River, Maryland, and Melbourne, Florida.