Top Software Engineer Jobs

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

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.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service experiences; partner with Security, Infrastructure, and Product; mentor engineers and drive long-term platform strategy, governance, and operational excellence.

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.

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.

Lead and grow a team of Azure Solution Engineers to drive cloud migration, application modernization, and AI adoption for Education, Nonprofit, and IGO customers. Partner with sales, engineering, product, and partners to deliver secure, governed, and scalable Cloud & AI solutions, scale repeatable plays, and coach technical talent to achieve measurable customer and business outcomes.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, application workflows, integrations, data quality controls, access controls, monitoring, and reusable delivery patterns. The role partners with stakeholders and cross-functional teams to define problems, deliver proofs of concept, iterate rapidly, and support production adoption. Strong user empathy, technical communication, stakeholder management, and mentoring are required.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

Build and scale an AI-native social engineering defense platform. Responsibilities include designing fault-tolerant systems, real-time data pipelines, full-stack features, AI model integration, software integrations, staging environments, automated testing, and troubleshooting performance and reliability issues. The role owns engineering work end to end and supports systems monitoring billions of digital signals to detect and neutralize phishing, impersonation, fraud, and other online threats.

Lead development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Own the full software lifecycle from design and coding through deployment, observability, and maintenance. Apply cloud-native architecture to build resilient systems, integrate intelligent automation, conduct design reviews, mentor engineers, and influence technical decisions. Collaborate with cross-functional stakeholders to define requirements, measure outcomes, and deliver secure, maintainable software aligned with strategic priorities.

Lead global front-office technology for credit trading, overseeing applications supporting credit portfolios, spread analysis, risk modeling, pricing, and scenario analysis. Partner with traders, sales, product development, risk, and technology leaders to define priorities, modernize architecture, adopt AI tooling, manage SDLC processes, deliver regulatory initiatives, and improve platform reliability. Lead global teams, manage resources, and drive strategic transformation across credit trading technology.

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.

Designs, develops, reviews, and troubleshoots secure production software. Delivers Python-based solutions on AWS and Snowflake, drives automation and operational stability, leads engineering best practices, uses AI-assisted development tools responsibly, and contributes to product vision and team culture.

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.

Leads development of scalable platform capabilities across the full software lifecycle, including design, coding, testing, deployment, monitoring, and maintenance. Applies cloud-native architecture, microservices, containers, infrastructure automation, and AI/ML integration. Conducts system design reviews, mentors engineers, influences architectural decisions, collaborates with stakeholders, and promotes secure, maintainable, high-quality engineering solutions.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Lead an agile engineering team to design, build, test, and operate secure, scalable production systems. Drive adoption and governance of AI-assisted development (prompting, agentic engineering) within the SDLC, provide technical guidance, review code, and ensure responsible AI practices and operational stability in trading and risk engineering contexts.