Platform Operations Engineer (Work Timings :- 03:00 AM IST to 11:30 AM IST )
Indexed description
You’ll be working in an enablement team that treats platform components as versioned products, with stable interfaces, high documentation standards, and a relentless focus on reducing cognitive load and operational friction for R&D, Cloud Security, SRE and Cloud Operations teams. You will collaborate with these users to ensure consistent and efficient use of the platform.
Key Responsibilities
- Deliver modular, secure, and reusable infrastructure components using Terraform, backed by automation pipelines and telemetry.
- Implement platform capabilities such as Kubernetes clusters, ingress, networking, observability, data services, and identity integrations as standardized building blocks.
- Embed operational resilience logging, metrics, alerting as default characteristics of the platform.
- Integrate cloud security and compliance requirements (e.g., IAM boundaries, encryption, audit readiness) into the delivery pipeline in collaboration with the Cloud Security Operations team.
- Develop internal APIs, CLI tools, or service wrappers that simplify infrastructure consumption and improve developer experience.
- Maintain and evolve platform components through versioning, lifecycle policies, and continuous refactoring based on telemetry and platform feedback.
- Providing documentation, usage examples, and onboarding guides is essential to facilitate the adoption of a platform and reduce the support burden. The ability to share knowledge and create comprehensive documentation are fundamental skills for a cloud platform engineer.
- Participate in planning, refinement, and technical review sessions to align with platform architecture and cross-functional delivery priorities.
- Act as a mentor and enabler for the Cloud Operations team members
- Utilize AI-enabled tools (e.g., chatbots, documentation automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards
Role
Tungsten Automation is committed to fair, consistent, and transparent pay practices, wherever we operate. Before any interview or salary discussion, we disclose the following for this role:
- Base pay range: For this role, based in India, the base pay range is 3000000-400000 INR, set using objective, gender-neutral and otherwise non-discriminatory job evaluation criteria applied consistently to all employees performing this role or work of equal value.
- Total compensation: This range reflects base pay only. Tungsten Automation may also offer bonuses, commissions, equity, and benefits, described separately where applicable or required by local law.
- How your pay is determined: Your base pay within this range will be based on objective, non-discriminatory factors — such as location, skills, qualifications, relevant experience, and education or training. It will not be reduced based on prior salary, and will not fall below the disclosed range or below what colleagues performing equal work or work of equal value receive.
- Salary history: Tungsten Automation does not ask candidates about current or past pay, and you are not required to disclose it, except where local law expressly permits or requires this.
- Your right to discuss pay: Nothing in this notice limits your right to discuss your own pay, to negotiate, or your entitlement to equal pay for equal work or work of equal value. Tungsten Automation does not retaliate against employees or candidates for discussing compensation.
- Questions: If you have questions about this notice or how pay was determined for this role, contact [email protected].
- Solid hands-on experience in infrastructure delivery or platform engineering roles in a cloud-native environment
- Proficient with Terraform and infrastructure-as-code practices, working knowledge of CI/CD (e.g., GitHub Actions, Azure DevOps)
- Experience developing tooling or platform components using a higher-level programming language such as Java, C#, or C++
- Strong understanding of cloud services in Azure and/or AWS
- Experience with Kubernetes and container orchestration; familiarity with cluster provisioning and workload identity
- Knowledge of securing infrastructure components and implementing policy-as-code.
- Scripting and automation experience (e.g., Python, PowerShell, Bash)
- Familiarity with observability concepts (logs, metrics, traces) and how to make them first-class in infrastructure
- Strong collaboration and documentation skills; able to deliver structured solutions with a product mindset
- Skills in prompting AI systems and assessing output quality
- Ability to leverage AI to ideate, develop and scale to the needs of the department
- Experience building internal platforms, golden paths, or self-service developer experiences.
- Familiarity with GitOps workflows
- Exposure to policy-as-code frameworks and configuration hardening standards (e.g., CIS benchmarks).
- Experience working in regulated environments (SOC 2, ISO 27001, FedRAMP) and integrating compliance into infrastructure delivery.
- Understanding of platform SLOs, Error budgets, operational maturity models, and infrastructure lifecycle thinking.
Tungsten Automation Corporation is an Equal Opportunity Employer M/F/Disability/Vets
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