Manager, Software Engineering - IAM

We are seeking a Software Engineering Manager - IAM to lead a high-performing engineering team driving our enterprise Identity & Access Management (IAM) platform. In this role, you will balance technical leadership, team management, and operational execution—ensuring our central authentication, single sign-on (SSO), and infrastructure automation deliver high performance, strict SLA adherence, and bulletproof security.While a background in IAM or security infrastructure is a major advantage, we value strong technical fundamentals, deep architectural acumen, exceptional organization, and a fast-learning mindset above all. You will work closely with our Technical Product Owner and Staff Engineer, diving deep into our platform functionality, actively participating in acceptance testing, and ensuring high-quality software delivery. What You’ll DoPeople & Team Leadership: Lead, mentor, and grow a team of engineers. Foster a culture of technical excellence, continuous learning, accountability, and psychological safety.Deep Product & Quality Ownership: Dive deep into our identity services and Keycloak extensions to thoroughly understand feature workflows and business logic. Actively assist with user acceptance testing (UAT) and quality validation before releases.Architectural Oversight & Challenge: Participate in design reviews and technical discussions—evaluating system trade-offs, keeping up with senior engineers, and challenging architectural assumptions to ensure scalable, resilient design.Testing & CI/CD Standards: Drive a strong culture of automated testing (unit, integration, and end-to-end) and robust CI/CD practices to ensure reliable, zero-downtime deployment pipelines.Engineering Execution & Delivery: Partner with the Technical Product Owner to drive delivery schedules, manage engineering velocity, unblock team members, and navigate technical dependencies.SLA & Performance Focus: Establish and track operational metrics to ensure our platform consistently meets or exceeds strict uptime and latency SLAs.AI-Accelerated Leadership: Encourage and guide the team in adopting AI-driven software development tools (e.g., Claude Code, LLM-based testing automation) to boost engineering efficiency and quality.Cross-Functional Collaboration: Partner with Security, Compliance, and Product leadership to ensure alignment on security standards and platform delivery goals. What We’re Looking ForExperience: 3+ years of engineering management experience leading backend or platform software development teams, backed by 5+ years of hands-on software development experience.Strong Technical & Architectural Foundation: Solid background in object-oriented language design and backend systems (experience in Java or C# is a strong plus). Must possess strong software architectural knowledge to guide design decisions and challenge technical approaches.Testing & CI/CD Literacy: Deep understanding of modern software testing methodologies, automated test frameworks, and modern CI/CD deployment workflows.Product Depth & Hands-On QA Mindset: Willingness to roll up your sleeves, learn the intricacies of our products, and actively engage in acceptance testing to maintain a high bar for release quality.Organizational Excellence: Exceptional track record of managing competing priorities, planning capacity, and keeping complex technical initiatives organized and on schedule.Fast Learner: Proven ability to rapidly ramp up on complex technical subdomains (such as identity protocols, authorization models, or security infrastructure).Communication & Collaboration: Excellent written and verbal communication skills, capable of translating engineering updates to leadership and advocating for your team's needs. Nice-to-Haves / Strong PlusesPrior background as a Software Architect or Lead Engineer.Experience with continuous process improvement informed by data, particularly using Kanban or Agile metrics.Proven track record of driving engineering teams to meet and exceed operational SLAs.Prior exposure to Identity & Access Management (IAM), OAuth 2.0, OIDC, SAML, or Keycloak environments.Experience with cloud-native deployment practices, containers, and infrastructure-as-code concepts (Kubernetes, Helm, Terraform, ArgoCD).Experience promoting AI developer tool adoption within an engineering organization.