Cloud Platform Engineer

Job Purpose

As a Cloud Platform Engineer, you are part of the team responsible for delivering the internal cloud platform that enables our SaaS product teams to build, deploy, and operate reliably in Azure and AWS. This role focuses on building platform capabilities that are reusable, secure, observable, and easy to consume. You will engage in full lifecycle delivery from implementation and automation to hardening, supportability, and continuous improvement.

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

Base salary range: For this role, based in Bulgaria, the base salary range is €55000-65000 per year, set using objective, gender-neutral job evaluation criteria applied to all employees performing this role or work of equal value.

Determining your actual pay: Your base salary within this range will be based on objective, gender-neutral factors — work location, skills, qualifications, experience, and education/training. It will not be reduced based on prior salary or negotiating position, nor will it fall below the range or below what colleagues in equal work receive.

Scope: This range covers base salary only, not bonuses, benefits, or other remuneration (as applicable).

Your rights: Tungsten Automation does not ask about current or past pay, and you need not disclose it. This notice does not limit your right to negotiate or your entitlement to equal pay for equal work or work of equal value.

While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.

Required Skills

Required Qualifications

• 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

Preferred Qualifications

• 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.

As a successful Cloud Platform Engineer

You think in abstractions, not just scripts. You build for reusability, stability, and clarity knowing that your users are other engineers relying on your work to move faster and safer. You’re driven by delivery, not novelty, and thrive on solving operational complexity through design, automation, and simplification. You treat infrastructure the same way great product teams treat software as something to be designed, tested, versioned, and continuously improved.

Tungsten Automation Corporation is an Equal Opportunity Employer M/F/Disability/Vets