DevOps Architect

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal’s mission is to power every human decision in the enterprise and uses the power of AI to help the worlds most admired Fortune 500 companies. Fractal’s products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as India’s best companies to work for, by The Great Place to Work Institute.

Cloud Platform Engineering

Experience - 9-12 years

Notice period - 30-45 days

Across all Fractal Locations

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 environment, 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

• 8-12 years of experience with Microsoft Azure cloud
• 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
• Strong written and oral communications skills with the ability to clearly articulate complex concepts
• CKA certification is a plus