Principal Software Engineer, Saviynt
Privileged Access Management
$160-250k
AI-based identity security & access management platform
Open for applications
AI-based identity security & access management platform
1001+ employees
Open for applications
$160-250k
1001+ employees
Company mission
To safeguard enterprises through intelligent, cloud-first identity governance & access management solutions.
Role
Who you are
- 1+ year of software engineering experience as a Principal Software Engineer with a SaaS company
- Track record of taking systems from design through production at scale, including multi-tenant SaaS
- Hands-on experience building security-focused systems — Privileged Access Management, Identity Governance, Authentication, Secrets Management, or adjacent domains
- Required knowledge of FedRAMP, FIPS 140-3, and GovCloud (AWS GovCloud or Azure Government) — what they constrain, why, and how to design within them
- Working knowledge of modern cryptography in practice: TLS/mTLS, KMS-backed key hierarchies, envelope encryption, HSM/key vault integration
- 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 TypeScript/React is a plus
- 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, gRPC/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 — PostgreSQL preferred; schema-per-tenant or comparable isolation patterns a plus
- Strong testing discipline: unit, integration, end-to-end, and property-based testing
- Infrastructure as Code: Terraform, Helm; GitOps (ArgoCD) a plus
- CI/CD pipeline design and ownership — GitLab, GitHub Actions, Jenkins, CloudBees, or equivalent
- Observability: OpenTelemetry, structured logging, metrics, tracing
- Containerization: Docker multi-stage builds, distroless/minimal runtimes
- 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; AiDLC 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
- 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
What the job involves
- This role is on the PAM Platform team, building the next generation of PAM infrastructure that runs across multi-tenant SaaS, customer-managed deployments, and federal GovCloud environments. We are a distributed, AI-first R&D organization, and we are actively rolling out an AI-Driven Development Lifecycle (AiDLC) as our SDLC of record
- 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 AiDLC 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 bar across 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
Our take
Saviynt’s Identity Governance and Administration platform helps secure access to corporate systems in the cloud such as Workday, Office 365, AWS, Salesforce, SAP and Hadoop. It was created to offer an innovative, modern solution as its founder believed that existing identity services were not optimized.
By spending its early years in stealth mode, developing its product technology and switching to a cloud based model, the company was well prepared for a quick up-scale. This has been achieved partly because of the fact that it favours targeting large companies, boasting clients like Marriott, BP, KuppingerCole and Toyota Connected.
Saviynt faces a major rival in the form of SailPoint, which was an earlier entrant in the space, and went public sooner. However, Saviyntnt is growing rapidly and has converted some notable customers from SailPoint in the process. The company has continually invested in its platform to maintain a competitive edge, earning industry recognition along the way, and has recently concentrated on securing new customers and growing its partner ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2025
$700m
SERIES B
Sep 2021
$130m
EARLY VC
Total funding: $870m
Company benefits
- Competitive Pay: Money isn’t everything, but it sure helps. Base pay + bonuses = a rewarding experience.
- Great Benefits: Medical, dental, vision, & retirement programs. We’ve got you covered from head to toe.
- Flexible Time Off: Our holidays and flexible vacation policies ensure your next vacation is never out of reach.
- Employee Recognition: Your hard work never goes unnoticed. We celebrate and recognize when our people go above and beyond.
Company HQ
El Segundo, CA
Leadership
Sachin Nayyar
(CEO)Sachin worked as CEO of Vaau for 3 years before joining Sun Microsystems as a Chief Identity Strategist. They were also CEO of Securonix for 13 years.
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