Cloud Platform Engineer
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
- 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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