Cloud Platform Engineering

Focuses on building, maintaining, and automating the infrastructure for functions & applications that support our cloud & connectivity platform.

Key responsibilities

- Independently take product design specifications and deliver well-defined design, implementation, and testable solution
- Demonstrate knowledge of multiple cloud environments and deployment methodologies
- Cultivate relationships with developers, engineers (geo-diverse teams) to understand their infrastructure needs and deliver solutions
- Provide mentorship and technical direction to associate team-members
- Evangelize cloud native best practices and methodologies
- Identify opportunities to automate processes and procedures
- Provide scalable engineering and supportability deliverables, resulting in products and services with more efficiency, lower risk, and reduced customer impact
- Identify potential security and performance issues at multiple layers of deployment, from hardware, operating setting, network and application
- Support deployment of Kubernetes infrastructure and containers hosted within cloud platforms
- Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio

Experience & Skills

- 5-14 years of experience with Microsoft Azure cloud Architect Level Exposure is Mandatory

- Fluency in one or more programming or scripting languages, with the ability to review and understand workflow and language. Some level of proficiency in error analysis
- Linux/Unix based machine set up for all nix command line functions




- Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions
- Proficiency with Terraform, which is necessary to manage or add anything related to our infrastructure

- Proficiency with Kubernetes/containers to perform basic troubleshooting, deployment, and onboarding tasks
- Proficiency with Kubernetes internals to understand security, services, and certificate management (this is critical for effective troubleshooting)
- Proficiency with Kubernetes networking concepts

- Proficiency with DevSecOps leveraging ADO, GitHub & GitLab
- Proficiency with Python, to effectively understand and contribute to infrastructure code
- General understanding of Azure, AWS Cloud, including all managed services & offerings of the cloud service providers

- Proficiency with Datadog, as our primary platform for telemetry & operations
- Understanding of the infrastructure lifecycle, from requirements to design, to implementation, testing, environment set-up, multi-phase builds, and deployment approaches
- Understanding of Configuration Management approaches, including trade-offs involved with different solutions

- Effective experience with Cloud-based Architecture, Services, and Provisioning
- Understanding of instrumentation, logging levels, and system/software troubleshooting. Advanced understanding of Operating System components

- Advanced understanding of Operating System components
- Solid written and oral communications skills with the ability to clearly articulate complex concepts
- CKA certification is a plus

📌 Azure Devops Engineer (Bengaluru)
🏢 Fractal Analytics
📍 Bengaluru