Top Software Engineer Jobs

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 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.

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.

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.

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.

Lead engineering teams and technology portfolios while designing and implementing large-scale, distributed, cloud-native systems. Build full-stack solutions using modern programming languages, microservices, databases, containers, and cloud platforms. Provide technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentor engineers, collaborate with product and architecture leaders, and drive cross-functional technical initiatives supporting regulatory and customer needs.

Develop and support full-stack applications across web, iOS, Android, and Linux platforms. Build real-time mapping and image-processing solutions, implement front-end components, REST back-end services, and database schemas, and maintain third-party dependencies. Collaborate with product and engineering teams in an Agile environment to deliver reliable software milestones. The role also provides technical support for field applications and requires occasional travel to field offices and testing areas.

Develop Unix applications and complex CNO capabilities using C, C++, Rust, or Python. Collaborate with AI/ML and software engineers to build systems supporting national security operations, define operational parameters, and apply software lifecycle practices across design, development, testing, validation, and deployment. The role also involves embedded software validation and leveraging AI-assisted development.

Develop Windows applications and complex software for national security and computer network operations. Collaborate with AI/ML and software engineering teams, apply network operations expertise, manage software lifecycle activities, and design, test, validate, and deploy Windows-focused solutions. The role requires object-oriented programming experience, strong C/C++/C# skills, familiarity with Rust or Python, and a TS/SCI clearance with polygraph.

Lead a product-focused engineering team building WorkOS Dashboard features for onboarding, growth, billing, monetization, and AI assistance. Responsibilities include technical strategy, architecture, prototyping, product decision-making, customer discovery, roadmap development, hiring, mentoring, and team growth. The role partners closely with product, design, finance, go-to-market, recruiting, and engineering teams while balancing rapid delivery with reliability, billing correctness, and AI quality.

Leads the global Shop Floor Control and MES engineering organization across wafer fabs. Defines the technology strategy and roadmap, oversees delivery, modernizes legacy platforms, and partners with manufacturing and automation teams. Provides technical direction for production execution, lot tracking, equipment integration, WIP management, data collection, and factory event processing. Builds organizational capability through hiring, coaching, and succession planning while ensuring scalable, resilient, secure, and standardized manufacturing systems.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

Participate in a 12-week primarily remote technical internship, contributing to projects in software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research. Interns collaborate with technical teams, participate in Agile ceremonies, receive mentorship, develop and document solutions, communicate progress, and present a final capstone project. Attendance at a required onsite summit in Bridgeport, West Virginia is included.

Manages secure desktop and web application integrations, automation, APIs, and vendor-supported systems. Designs, develops, tests, documents, upgrades, and troubleshoots integrations while supporting application security assessments, vulnerability resolution, and compliance. Collaborates with business teams to translate processes into technology requirements, evaluates new applications, writes maintainable code, and provides technical support. Preferred experience includes PowerShell automation, API development tools, AI and bot development, cloud SaaS, and complex SQL.