Overview
Customer Success Engineer role at Postman, working hands-on in customer codebases, CI/CD pipelines and API platforms to take enterprise customers from contract close to a fully activated developer platform across India and APAC.
What you'll do
- Drive enterprise customers from contract close to a fully activated developer platform, owning the technical setup of identity and access controls (SSO, SCIM, RBAC), workspace configuration, Git integration, CI/CD pipeline onboarding and API catalog setup.
- Ensure customers have a governed foundation in place within 30–60 days.
- Build automated pipelines that run contract tests, governance checks and artifact syncs on every commit.
- Integrate platform tooling into standard CI/CD systems such as GitHub Actions, GitLab CI, Azure DevOps and Jenkins.
- Leave behind documented patterns the customer team can own and extend.
- Configure and troubleshoot enterprise authentication and identity controls, including SSO (SAML, OIDC), SCIM provisioning, OAuth 2.0, API key and token management, secrets vaults and RBAC.
- Communicate credential handling clearly to security and compliance stakeholders.
- Help customers adopt AI-powered and agentic platform capabilities, and connect platform features to engineering productivity outcomes.
- Run structured technical discovery, define scope, success criteria and delivery milestones.
- Communicate with engineering teams and executive stakeholders, and translate outcomes into measurable business value.
- Use engineering quality frameworks (DORA metrics, shift-left testing, QA maturity models, contract testing, governance scoring) to show customers where practices create risk and where automation creates improvement.
- Build reusable assets, templates and playbooks, and leave documented ownership with the customer team.
- Document friction points, runbooks and root-cause logs, and bring recurring customer challenges to Product and Engineering.
What you'll need
- 10+ years in a technical customer-facing role such as Customer Success Engineer, Solutions Engineer, Solutions Architect or Implementation Engineer.
- Development or engineering background with hands-on code experience.
- Hands-on CI/CD experience building, modifying or debugging pipelines using GitHub, GitLab CI, Azure DevOps, Jenkins or CircleCI.
- Strong API fluency: REST APIs, API specifications, authentication flows (OAuth 2.0, SAML, OIDC, JWT, API keys) and automated testing.
- Enterprise identity and security knowledge: SSO, SCIM, RBAC, secrets management and AuthN/AuthZ patterns.
- Fluency in one hyperscaler: AWS, Azure, GCP or similar.
- Scripting and automation in Python, Node.js or similar, including calling APIs and building workflow automations.
- Cloud and infrastructure reasoning: containers, permissions, secrets and deployment environments.
- Familiarity with engineering quality frameworks: DORA metrics, contract testing, shift-left QA and test coverage models.
- Ability to build beyond a product's UI: scripts, integrations, pipelines and tooling that solve real customer problems.
- Practical experience using LLMs or generative AI tools in technical work such as scripting, automation, documentation or integration.
- Sound judgment about AI outputs: validate, test and do not ship generated work without review.
- Consulting and developer mindset: asks clarifying questions, scopes a manageable first outcome, defines what "done" means and documents decisions.
Nice to have
- Familiarity with agentic frameworks, MCP or similar approaches to governing AI-driven workflows.
Details
- Location: Bangalore, India.
- Work mode: in office three days a week, transitioning to five days per week by the end of the year.
- Employment type not stated.
Read the full description and apply on the company’s own careers page.