Top Software Engineer Jobs

Design and build scalable, AI-native systems and intelligent services for Microsoft’s global sales ecosystem. Responsibilities include understanding business workflows and data flows, prototyping solutions, integrating systems and signals, improving reliability and performance, and delivering secure, compliant, responsible AI-powered production features. The role requires cross-team collaboration, experimentation, debugging, and continuous engineering improvement.

Leads software engineering initiatives within an agile banking technology team. Designs, develops, reviews, debugs, and troubleshoots secure production code; drives responsible AI-assisted development practices; improves automation and operational stability; evaluates architectures and vendors; and promotes modern engineering technologies. The role requires advanced programming, generative AI and machine learning familiarity, distributed systems, cloud platforms, microservices, APIs, databases, containerization, performance testing, and chaos engineering experience.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Design, develop, optimize, and maintain scalable C++ game software and systems across PC, console, and mobile platforms. Integrate graphics, audio, physics, AI, and advanced peripherals such as VR/AR headsets and motion controllers. Collaborate with designers and developers, troubleshoot system issues, participate in code reviews, and contribute throughout the game development lifecycle from prototyping through release.

Leads software engineering teams and owns technical strategy, architecture, roadmaps, budgets, staffing, and operational health across application or platform domains. Guides development of scalable web and cloud solutions, engineering standards, AI-enabled capabilities, and modernization initiatives. Partners with product, business, medical, regulatory, and executive stakeholders while developing technical leaders, managing vendors, improving delivery processes, and ensuring security, privacy, reliability, and regulatory compliance.

Develop and maintain custom applications, APIs, integrations, reports, automation, and AI-enabled solutions for business functions including Finance, HR, Payroll, and Legal. Gather requirements, improve workflows, troubleshoot systems, support deployments, document solutions, and implement security and data governance controls. Collaborate with technical and non-technical stakeholders, vendors, and third-party providers while delivering solutions in a Microsoft .NET environment.

Staff Backend Engineer responsible for building data and machine learning systems that provide competitive travel-market intelligence. The role involves setting technical strategy, designing APIs and backend architecture, prototyping solutions, partnering with product and ML engineers, conducting design and code reviews, driving engineering best practices, and mentoring junior engineers.

Designs and develops innovative spatial computing, extended reality, and AI experiences for Fidelity’s innovation center. Responsibilities include rapidly prototyping applications, collaborating with design and product teams, building APIs and cloud-based systems, integrating hardware, supporting live interactive environments, and evaluating emerging technologies. The role requires expertise with immersive development platforms, databases, AWS, real-time graphics, and troubleshooting interactive experiences.

Develop and deploy software solutions for AI/ML, big data, and cloud projects supporting Naval Acoustics. Responsibilities include requirements analysis, system design, enterprise application integration, software development, systems analysis, troubleshooting, technical documentation, and collaborating with multidisciplinary teams in an agile environment. The role requires modern programming, containerization, cloud deployment, architecture and data-flow modeling, technical leadership, and support for operational end users.

Leads the design, development, testing, troubleshooting, and delivery of secure full-stack software using Java, Spring, React, microservices, databases, and Kafka. Drives adoption of AI-assisted and agentic development practices, establishes validation and responsible-use standards, improves automation and system reliability, reviews code, evaluates architectures, and mentors teams on emerging technologies and software engineering best practices.

Leads software engineering efforts for secure, scalable banking technology. Designs, develops, tests, debugs, and reviews production code while guiding teams in responsible AI-assisted development. Applies Java, cloud, microservices, distributed systems, generative AI, performance testing, and chaos engineering practices. Evaluates technical solutions with vendors and internal teams, automates recurring remediation, improves operational stability, and leads engineering communities of practice.

Leads software engineering teams and complex technology initiatives within Operations Collections. Establishes governance for agentic AI-enabled engineering, SDLC automation, quality controls, security, resiliency, and traceability. Directs technical strategy, budgets, resources, talent development, cloud-native solutions, and cross-functional delivery while influencing senior stakeholders and enabling reusable solutions across business domains.

Leads the design, development, troubleshooting, and delivery of secure, scalable software products. Builds production code, architecture artifacts, data models, APIs, microservices, and cloud-based data solutions. Uses Python, Java, SQL, relational databases, data warehousing, CI/CD, and cloud platforms. Analyzes large datasets to improve system architecture and coding practices, while contributing to engineering communities and emerging technology initiatives. Preferred experience includes IAM, Databricks, Spark, lakehouse architectures, streaming, and front-end frameworks.

Leads engineering teams and portfolios, architects scalable cloud-native systems, and develops full-stack distributed applications. Designs AI- and ML-enabled solutions using LLMs and modern cloud infrastructure, mentors engineers, drives architectural standards, and partners with product leaders. Responsibilities include building reliable microservices, APIs, data platforms, and personalized customer experiences using Java, JavaScript, TypeScript, Python, Go, AWS, databases, containers, CI/CD, observability, and automated testing.

Develop, test, deploy, and operate secure, scalable software services supporting Microsoft’s business operations, commerce, billing, usage measurement, and customer adoption. Responsibilities include architecture, coding, code reviews, test automation, AI-assisted development, deployment automation, observability, on-call support, security, privacy, compliance, and cross-team collaboration.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Develop backend services, APIs, automation tools, and CI/CD workflows for virtual ECUs, software-in-the-loop simulation, orchestration, and AI-enhanced validation. Integrate simulation and AI/ML components, optimize compute-intensive workloads, manage artifacts and metadata, and collaborate with DevOps and simulation teams. The role requires software development experience with embedded or simulation systems, cloud and distributed systems knowledge, CLI and MCP architectures, and database experience.

Build and lead full-stack web applications and enterprise search capabilities using GCP and Vertex AI Search. Responsibilities include frontend and backend development, API and cloud service design, search indexing and relevance optimization, experimentation, performance tuning, testing automation, observability, reliability, and technical mentorship. The role partners with product, UX, marketing, data science, and ML teams to deliver personalized discovery experiences across GM digital products.

Leads development of secure, scalable, cloud-native full-stack applications using Java, Spring Boot, Python, React, and modern architecture patterns. Designs microservices, REST integrations, authentication solutions, data models, and resilient systems; writes and reviews production code, troubleshoots issues, automates remediation, and promotes zero-downtime delivery. Leads adoption of responsible AI-assisted engineering practices, mentors engineers, drives communities of practice, and supports continuous technology modernization.

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

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.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Leads multiple software engineering departments and sets strategy for transactional data, analytics, and AI platforms. Directs agentic AI-enabled engineering and SDLC automation, establishes governance and security guardrails, and prepares data applications for AI agent consumption. Oversees large-scale distributed systems, cross-functional delivery, data quality, resilience, incident response, stakeholder alignment, and talent development across a global banking organization.

Leads full-stack software engineering within an agile Asset Management team. Develops, reviews, tests, debugs, and operationalizes secure production code using Java, Python, AWS, Spring JPA, Hibernate, PostgreSQL, REST, and GraphQL. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs, mentors technical teams, influences architecture and product decisions, and promotes SDLC automation, reusable frameworks, scalability, resiliency, and security.

Designs, develops, and maintains full-stack services using Java, Spring Boot, TypeScript, and APIs. Builds microservices and reactive systems, deploys cloud-native applications on AWS, and manages infrastructure as code. Leads secure adoption of AI-assisted engineering practices, including validation, testing, troubleshooting, and code improvement. Applies 12-factor principles, implements CI/CD and observability tooling, and executes performance and load testing. Preferred work includes multi-agent environments, Agent2UI, A2A protocols, and LLMs.