Top Software Engineer Jobs

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.

Design, implement, test, and ship secure, high-performance C++ features for Microsoft Edge, focusing on enterprise security, Data Loss Prevention, and Copilot integrations. Lead architecture across browser, cloud, identity, compliance, and management systems; collaborate cross-functionally to deliver scalable customer solutions. Mentor engineers, influence technical strategy, and improve product quality through telemetry and customer feedback.

Architects and engineers enterprise Microsoft Power Platform, Copilot Studio, Microsoft 365 Copilot, and agent-based solutions. Develops applications, automations, integrations, governance controls, and reusable implementation patterns. Partners with Security, Architecture, Governance, Risk, and platform teams on security, identity, ALM, administration, licensing, capacity, and cost management. Builds prototypes, provides technical leadership and mentoring, supports troubleshooting, and evaluates emerging Microsoft AI capabilities and low-code versus pro-code architectures.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Leads the AI-assisted modernization of a legacy lending platform into .NET microservices on Azure and Kubernetes. Owns the rebuild roadmap, agent workflows, prompts, testing standards, code review, compliance coordination, delivery metrics, and AI tool governance. Coaches engineers, documents legacy business rules, and ensures generated code meets rigorous quality, security, data-isolation, and regulatory requirements.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

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.

Design, implement, test, debug, and evaluate production-grade Rust backend systems for AI training projects. Responsibilities include API and persistence development, asynchronous and concurrent processing, performance optimization, reliability analysis, architecture review, reproducible test environments, containerized workflows, and technical documentation. The role requires identifying correctness, scalability, and failure-handling issues while delivering high-quality implementation artifacts and meeting weekly project deadlines.

Build and operate Node.js and TypeScript backend services using durable workflows and AI-assisted development. Define service patterns, orchestrate migrations, maintain MCP and AI workflow tooling, and improve observability through metrics, alerts, dashboards, and tracing. Handle production incidents, contribute targeted frontend changes in React and Angular, and collaborate on architecture and code reviews in a fully remote environment.

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.

Leads a team of software engineers in designing, developing, testing, and operating secure, resilient Java microservices. Oversees architecture, implementation, technical troubleshooting, and design documentation for event-driven systems using Kafka, Spring Boot, and cloud infrastructure. Promotes automation, responsible AI-assisted development, secure coding, continuous delivery, operational stability, and adoption of emerging technologies. Provides technical leadership across agile teams and evaluates architectural solutions with vendors and internal stakeholders.

Leads development of secure, scalable Java and AWS software systems, including microservices, event-driven platforms, and production machine-learning systems. Designs data and feature pipelines, model deployment and monitoring, automation, CI/CD, and operational stability practices. Guides code reviews, testing, secure coding, vendor evaluations, and responsible adoption of AI-assisted engineering tools. Collaborates across product, data, platform, SRE, and governance teams while promoting MLOps, LLM, observability, and model-monitoring practices.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Lead a global agile scrum team to design, build, and operate scalable, secure microservice-based applications. Integrate AI (Claude Code) into development and delivery, drive architecture and technical decisions, mentor engineers, enforce AI-assisted engineering governance, and ensure production quality, stability, and automation across the SDLC.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Lead enterprise architecture and engineering strategy for AI-native, cloud-native platforms. Define AI-enabled patterns, governance, and guardrails; drive platform modernization, CI/CD, IaC, automated testing, reuse-first engineering, and mentor architect-engineers while ensuring security, resiliency, and auditability.

Lead design, architecture, and delivery of full-stack, AI-enabled applications. Provide technical leadership across frontend, backend, APIs, databases, and AI integration. Drive engineering best practices, CI/CD, automated testing, cloud-native (AWS) solutions, and adoption of AI-assisted development while ensuring secure, resilient, scalable systems.

Leads enterprise UI/UX engineering and digital experience strategy, architecture, and delivery. Responsibilities include modernizing legacy applications with React and Angular, governing design systems, establishing front-end standards, ensuring accessibility and security compliance, and developing AI-powered experiences such as copilots, conversational interfaces, intelligent search, personalization, and workflow automation. The role partners across Product, Engineering, Security, Architecture, and business teams in financial services environments.

Provides hands-on technical leadership for full-stack AI-enabled enterprise applications. Designs Angular and TypeScript frontends, Java and Spring Boot backend services, REST APIs, and LLM integrations. Mentors developers, conducts code reviews, establishes engineering practices, resolves complex technical issues, and partners with architects, product owners, business stakeholders, and AI/ML teams. The hybrid Tucson role requires onsite work one to three times monthly, including occasional factory or classified-environment work.

Develop and maintain full-stack Java applications using Java EE, RESTful microservices, Angular, TypeScript, Node.js, SQL, PL/SQL, and Oracle. Use AI coding assistants such as GitHub Copilot for code generation, debugging, optimization, and prompt-driven development. Validate AI-generated code for accuracy, performance, and security while applying JVM performance profiling. Collaborate on production-ready solutions, with familiarity in CI/CD, DevOps, Unix scripting, Docker, caching, and SAML preferred.

Develop and deliver native iOS features for MyFitnessPal’s AI-powered food logging experience. Responsibilities include implementing user interfaces, optimizing performance and network communications, building tested and secure solutions, collaborating with product and design teams, researching technical approaches, mentoring developers, and contributing to deployment and engineering best practices.

Develop and ship software end to end using AI-assisted coding tools, while reviewing, testing, securing, and correcting generated code. Lead modernization work, evaluate AI tooling through measurable outcomes, establish guardrails, and share effective practices with engineering colleagues. The role requires strong software fundamentals, experience across legacy and modern stacks, production ownership, and independent judgment in ambiguous situations.