Sr Software Engineer

• Manage and evolve Azure infrastructure using Terraform
• Deploy, scale, and troubleshoot workloads on AKS
• Improve deployment reliability and system performance
• Drive automation-first solutions across the stack
• Work on ADF and Databricks-based deployments
• Debug real-world production issues and improve system resilience
• Code & Platform Security Management
• Monitor the app performance, security issue, deployment etc.
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Builder Responsibilities:

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making

Required Qualifications:

• Graduation
• 5+ years of experience in Build and maintain production-grade CI/CD pipelines
• 5+ years of experience in Azure Cloud
• Experience with Containers & Orchestration K8s & Docker
• Experience with Infrastructure as Code, CI/CD GitHub
• Experience with practical usage of GitHub Copilot (or similar) for: IaC development, Pipeline automation, Debugging and scripting
• Experience with Azure Data Factory (ADF) - Integrated runtime (Self/Cloud) Hosted, DevOps, Maintenance
• Experience with Azure Databricks - cluster management, log and infra monitoring
• Experience with Grafana, Splunk and other monitoring tools
• Experience in using AI as a force to multiply your productivity, not just an assistant
• Solid understanding of: Idempotency, Observability, Failure handling, Cost improvement FinOps
• Proven solid tech enthusiast with continuous learning attitude
• Engineering Expectations
  • Proven solid debugging skills across: CI/CD pipelines, Container builds, Kubernetes workloads, Azure Cloud
• Demonstrated ability to integrate AI into daily engineering workflows
• Demonstrated ability to: Design scalable Azure architectures, implement multi-environment deployment strategies, build reusable Terraform modules and maintainable pipelines
• Proven automation-first problem solving approach
  • Proven actively explores and adopts new tools and open to work on new areas