Overview Saviynt’s Enterprise Identity Cloud helps contemporary enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. We bring together Identity Governance (IGA), granular application access, cloud security, and Privileged Access Management (PAM) to secure the entire business ecosystem with a frictionless user experience. The world’s largest brands — including federal agencies and Fortune 500 financial institutions — trust Saviynt to accelerate digital transformation, empower distributed workforces, and meet continuous compliance.Role This role is on the PAM Platform team, building the next generation of PAM infrastructure that runs across multi-tenant Saa S, customer-managed deployments, and federal Gov Cloud environments. We are a distributed, AI-first R&D organization, and we are actively rolling out an AI-Driven Development Lifecycle (Ai DLC) as our SDLC of record.Principal Engineer – PAM Platform What you will be doing Drive technical strategy and architecture across PAM platform components, including federal‑compliant deployment topologies.Partner with Product and Engineering Management on requirements analysis, roadmap planning, and technical decision‑making.Lead end‑to‑end design and delivery of new services from greenfield through production hardening.Operate within and help shape our Ai DLC workflow: living specs, AI‑generated implementations, property‑based and integration testing as blocking gates, and audit‑tracked human approvals.Author and maintain the engineering contracts (CLAUDE.Md, prompt libraries, agent skills, code standards) that govern how AI‑driven development happens on the platform.Conduct deep code reviews on critical and security‑sensitive changes — including AI‑generated code.Mentor senior, staff, and associate principal engineers; raise the technical baracross the team.Debug, optimize, and refactor existing services as we evolve toward multi‑tenant, multi‑cloud, federal‑ready.Serve as a technical expert for internal teams and, when needed,



customer‑facing escalations.What you bring Experience 10+ years of software engineering experience with demonstrated ownership of complex system design, implementation, and technical decision‑making.Track record of taking systems from design through production at scale, including multi-tenant Saa S.Security & Compliance Hands‑on experience building security‑focused systems — Privileged Access Management, Identity Governance, Authentication, Secrets Management, or adjacent domains.Required knowledge of Fed RAMP, FIPS 140-3, and Gov Cloud (AWS Gov Cloud or Azure Government) — what they constrain, why, and how to design within them.Working knowledge of modern cryptography in practice: TLS/m TLS, KMS‑backed key hierarchies, envelope encryption, HSM/key vault integration.Languages & Programming Go strongly preferred as the platform’s primary language; deep proficiency in at least one systems/services language (Go, Rust, C++, Java, or similar) is required.Polyglot capability — you can read, reason about, and contribute across multiple languages, and you can defend language‑choice decisions on technical merit.Frontend literacy in Type Script/React is a plus.Architecture & Infrastructure Solid hands‑on Kubernetes experience — EKS or equivalent, Helm, manifests, operators, day‑2 operations. Not “I used kubectl apply once.”Cloud platform proficiency on AWS or Azure; multi‑cloud experience is a plus.Microservices and API design: REST, g RPC/Protobuf, and the trade‑offs between them.Experience with event‑driven architectures (message buses, async workflows) — you know when to reach for them and when not to.Workflow orchestration experience (Temporal or similar)



is a plus.Relational database design at scale — Postgre SQL preferred; schema‑per‑tenant or comparable isolation patterns a plus.Engineering Practice Strong testing discipline: unit, integration, end‑to‑end, and property‑based testing.Infrastructure as Code: Terraform, Helm; Git Ops (Argo CD) a plus.CI/CD pipeline design and ownership — Git Lab, Git Hub Actions, Jenkins, Cloud Bees, or equivalent.Observability: Open Telemetry, structured logging, metrics, tracing.Containerization: Docker multi‑stage builds, distroless/minimal runtimes.AI‑Driven Development Active, deliberate use of AI coding tools (Claude Code, Cursor, Copilot, or comparable) as part of your daily workflow — beyond autocomplete.Comfort working in a spec‑driven, agent‑assisted development model with mandatory verification gates; Ai DLC will be our SDLC, and we expect candidates to embrace and help refine it.Critical‑review instincts: you don’t ship AI‑generated code without reading it, testing it, and understanding it.Leadership Demonstrated experience mentoring engineers and leading technical initiatives across distributed teams.Strong written and verbal communication — you can write a clear design doc, a clear PR description, and a clear engineering contract for an AI agent.Comfortable operating in a globally distributed organization (US + India).Qualifications Bachelor’s or Master’s degree in Computer Science, a related technical discipline, or equivalent professional experience.Excellent facilitation and consensus‑building skills across engineering, product, and security stakeholders.Demonstrated initiative and ability to prioritize independently in a fast‑moving environment.Additional Requirements Complete security & privacy literacy and awareness training during onboarding and annually thereafter.Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as:Data Classification, Retention & Handling PolicyIncident Response Policy/ProceduresBusiness Continuity/Disaster Recovery Policy/ProceduresMobile Device Policy

📌 Principal Software Engineer, Privileged Access Management (Vancouver)
🏢 Saviynt
📍 Vancouver