> Markdown version of [/jobs/ext/486441-lead-software-engineer](https://www.wearedevelopers.com/jobs/ext/486441-lead-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** Visa Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $173,100.0 - $276,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Engineering, Configuration Management Databases, Continuous Integration, Distributed Systems, Identity and Access Management, Python (Programming Language), OAuth, Open Source Technology, OpenID, Role-Based Access Control, Search Technologies, Single Sign-On, Software Engineering, Systems Integration, Chatbots, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Graphql, Machine Learning Operations, Api Design, Docker, Microservices - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3ddf56391adce46c ## About the Role Do you have experience in Systems engineering?, Do you have a Bachelor's degree?, * 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. * 8+ years of experience in software engineering, with at least 3 years building cloud-native backend systems (microservices, event-driven architectures) in production. * Strong proficiency in Python for backend services and automation, including experience building APIs, background jobs, and data/ML workflows. * Hands-on experience building LLM-powered applications (e.g., chatbots, copilots, assistants, RAG systems, or autonomous agents) that have been deployed to production or used by real users. * Experience with at least one agentic/LLM orchestration framework (e.g., LangChain, LangGraph, AutoGen, custom tool-calling frameworks) and vector search / retrieval (e.g., pgvector, OpenSearch, Pinecone, Weaviate). * Solid understanding of identity and access management or security concepts: OAuth2/OIDC, SSO, tokens, access reviews, RBAC, or security incident workflows. * Strong background in distributed systems and cloud infrastructure (e.g., AWS, GCP, or Azure), containers (Docker), and orchestrators (Kubernetes), plus modern CI/CD. * Proven ability to lead complex technical initiatives end-to-end: aligning stakeholders, making architectural trade-offs, and mentoring other engineers., * 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD * Prior experience building solutions in or adjacent to IAM / security: e.g., working on authentication services, access management, security platforms, or compliance tooling. * Experience integrating GenAI systems with security and governance guardrails (policy checks, approval flows, audit logs, PII controls). * Familiarity with Java or Go in addition to Python, and with modern API design (REST, gRPC, GraphQL). * Background in observability and reliability: SLO design, log and metrics pipelines, alerting, and incident response. * Experience in a high-scale or regulated environment (financial services, fintech, payments, or security-focused products). * Contributions to open-source GenAI/agent frameworks or internal AI platforms. ## Description We are looking for a Lead Software Engineer to lead the design and implementation of GenAI-powered, autonomous engineering agents that operate across our identity, access management, and security platforms. You will apply deep expertise in Python, LLMs, and cloud-native distributed systems to build intelligent services that automate complex workflows such as access reviews, policy analysis, incident triage, and developer productivity. In this role, you'll sit at the intersection of GenAI, security/IAM, and platform engineering: designing agentic systems that are safe, auditable, and scalable, and partnering with product, IAM, and security teams to turn them into production platforms used by thousands of engineers and millions of users. Essential Functions: * Design and build GenAI agent systems that automate high-value workflows in identity and security (e.g., access certification, entitlement review, log and alert triage, policy analysis, IAM change reviews). * Develop Python-based services and tools that orchestrate LLMs, tools, and APIs (e.g., ticketing, IAM platforms, logging systems, CMDB, CI/CD) into reliable, auditable autonomous workflows. * Implement RAG pipelines and context-management layers for agents, integrating with internal data sources (logs, IAM stores, config, code repos, wikis) to provide accurate, traceable responses. * Partner with IAM and security teams to integrate agents with existing authentication and authorization systems (OAuth2/OIDC, SSO, RBAC), ensuring strong controls, approvals, and guardrails. * Own end-to-end productionization of GenAI solutions: evaluation, safety guardrails, observability, rollback strategies, and continuous improvement based on user feedback and metrics. * Architect and operate cloud-native backends (microservices, event pipelines, APIs) on AWS or other cloud platforms, with strong SLIs/SLOs, monitoring, and incident response practices. * Collaborate with staff engineers and architects across IAM, security, and core platforms to define patterns and reference architectures for GenAI and agentic systems across the organization. * Mentor other engineers in Python, GenAI, and secure agent design, and help shape the technical roadmap and best practices for AI-enabled engineering at the company. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. ## Related Videos - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Get started with securing your cloud-native Java microservices applications](https://www.wearedevelopers.com/videos/123-get-started-with-securing-your-cloud-native-java-microservices-applications) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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