• Design, develop, and maintain APIs, and enterprise applications using modern frameworks (C#, .NET Core, React, Blazor, etc.) • Support development lifecycle processes: requirements gathering, design, development, testing, deployment, and ongoing maintenance. • Integrate AI capabilities into business systems using commercial AI services (e.g., OpenAI, Microsoft Copilot, Google Gemini, Azure Foundry/AI) and internal applications. • Collaborate closely with senior engineers and architects to implement scalable and maintainable solutions. • Design and implement integrations between internal systems, SaaS platforms, and third-party services using RESTful APIs and event-driven patterns. • Build and support scalable data ingestion and ETL pipelines that prepare and manage data for enterprise applications, analytics, and future AI or modeling initiatives as organizational capabilities mature. • Leverage Python for automating data processing, API consumption, and embedding AI capabilities into applications. • Work within our multi-cloud infrastructure, leveraging DevSecOps principles and Infrastructure as Code (IaC) to build, test, and deploy applications securely and efficiently. • Partner with business stakeholders to understand workflows and translate operational needs into technical solutions. • Ensure applications and AI integrations follow organizational security, compliance, and responsible data usage practices.

• Take end-to-end ownership of features and services: from design and coding to deployment, monitoring, and maintenance (“You build it, you run it”). • Collaborate with product managers and designers to shape solutions that solve real user problems. • Modernize and expand our front end while contributing to backend services and databases. • Contribute to the architecture, design, and implementation of new product capabilities. • Set up and improve CI/CD pipelines to deliver frequently and with confidence. • Ensure quality through testing (TDD/BDD), code reviews, and proactive issue prevention. • Apply best practices in DevOps, Automation, and Operational Excellence. • Share knowledge with the team.

• Support the daily operations of our enterprise IAM program, including intake, triage, and execution of access lifecycle work • Run and improve core IAM processes (joiner/mover/leaver, access requests, certifications, and break-glass patterns) • Partner with Security, IT, and Engineering stakeholders to coordinate changes with clear ownership, approvals, and auditability • Troubleshoot and resolve IAM-related issues, including access failures, provisioning bugs, and workflow errors • Write and maintain scripts and small services that automate repetitive IAM tasks and reduce manual effort • Contribute backend code and bug fixes in our IAM automation codebase (including tests and safe rollout practices) • Help document runbooks, standard operating procedures, and operational metrics for the program • Participate in on-call or escalation rotations as needed for IAM-owned systems

• With the support of your team, you will work on tasks that contribute to the team's projects and goals. • You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. • You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. • You will contribute to a sense of community on your team by engaging in growth and development activities.