Senior Platform Engineer

Job Summary:

The Senior Platform Engineer will design, deploy, and automate AWS infrastructure based on customer requirements to deliver analytical solutions. The role involves close collaboration with Managers, Clients, and Managed Services teams, focusing on cloud-native, automated, and AI-ready infrastructure solutions.

Key Responsibilities:

• Develop automation-first solutions for cloud data services provisioning, integrating IAM, networking, security policies as code, and observability.
• Collaborate with developers and internal stakeholders to deliver automated, cloud-native, and AI-ready solutions.
• Implement fully automated, resilient, and observable infrastructure with FinOps best practices.
• Build and maintain Infrastructure as Code (IaC) and CI/CD pipelines for cloud platforms, data pipelines, and infrastructure components.
• Enable AI-driven workflows for monitoring, optimization, and predictive maintenance.
• Validate solutions in POC environments before production deployment.
• Deploy and manage AWS services such as EC2, S3, RDS, VPC, DMS, Redis, EMR, and EKS.
• Design and deploy multi-tier, auto-scaling, high-availability architectures adhering to business continuity standards.
• Estimate AWS usage costs and implement operational cost-control measures.
• Manage cloud network administration, security, provisioning, optimization, and third-party software support.
• Implement cloud security best practices and assess partner compatibility.
• Continuously monitor and optimize servers, networks, and infrastructure for performance and security.
• Troubleshoot and resolve infrastructure incidents with automation where possible.
• Conduct routine health checks and leverage automation for proactive issue detection.
• Participate in 24x7 on-call rotation to respond promptly to incidents.
• Lead initiatives to enhance infrastructure reliability, scalability, and performance.
• Maintain detailed documentation for automation workflows, system changes, and platform configurations.

Qualifications & Required Skills:

• Strong expertise in automation using IaC tools (Terraform preferred), CI/CD methodologies, and scripting (Python, Bash).
• Experience with AI workflow integration in infrastructure automation is a plus.
• Proficiency in AWS services, cloud-native security, monitoring, and logging tools; knowledge of Well-Architected Framework principles.
• Solid understanding of the Hadoop ecosystem (HDFS, YARN, HBase, Kafka, Solr) and performance tuning.
• Experience with Kubernetes and container orchestration.
• Experience designing, deploying, and securing high-availability cloud solutions with cost optimization.
• Knowledge of cloud networking (subnets, routing, load balancing, firewalls, VPC, IAM, NACLs).
• Experience with cloud logging, monitoring, and observability tools.
• Strong communication skills to present automation strategies to technical and non-technical audiences.
• Good knowledge of ITIL processes and best practices.
• Bachelor's degree in Computer Science or related discipline.