Senior Platform Engineer | DevOps | Kubernetes | Python | Terraform | GCP | Azure | Building Cost-Efficient Agentic AI Platforms & MCP Architectures

India

India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India









Nanodegree, Data Analyst
Udacity
Workshop, Data scicence expert
BEPEC
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Download Tal BossSenior Platform Engineer | DevOps | Kubernetes | Python | Terraform | GCP | Azure | Building Cost-Efficient Agentic AI Platforms & MCP Architectures
With over 12 years of experience in platform development and infrastructure automation, I specialize in designing, deploying, and scaling multi-cloud and hybrid cloud architectures. My expertise lies in building resilient, automated environments that power complex, multi-tier applications across private and public clouds. Recently, my focus has expanded into the intersection of cloud infrastructure and artificial intelligence. I actively develop Agentic AI platforms, designing autonomous workflows and establishing rigorous agent evaluation metrics. By implementing advanced prompt optimization and token consumption reduction techniques, I build AI systems that are not only intelligent but also highly cost-efficient and performant. Core Competencies: Cloud & Infrastructure: Azure, GCP, AWS, Hybrid/Private Cloud Platform & Automation: Kubernetes, Docker, Terraform, GitOps, CI/CD Programming: Python, React, Go Databases: CosmosDb, MySQL, MongoDB, Bigquerry, SQLite AI Engineering: Agentic Workflows, MCP, Prompt Optimization, Token Efficiency, Agent Evaluation
Bengaluru
claude code
cursor
gemini
github copilot
hugging face
ollama
Senior Software Engineer at Walmart Global Tech India, Oct 2023 - Present Β· 3 yrs, India, π§ Engineered an intelligent AI gateway saving ~$1.4M to ~$14M monthly in token costs. βοΈ Implemented an in-house Terraform platform for multi-cloud automation, reducing deployment time by 85%. βοΈ Engineered scalable CI/CD pipelines and automated infrastructure deployments using Kubernetes and Terraform, enhancing system reliability and reducing release cycles by 30%. π‘ Developed drift detection for Managed Terraform, optimizing execution without increasing database load. π€ Architected autonomous K8s pull-based runners using MongoDB Change Streams and KEDA for scalable job handling. π° Led RAG implementation for AI chatbots, cutting production support by 40% and saving $250k annually. π Integrated APIs for 150+ pipelines and built a visualization UI, improving troubleshooting efficiency by 60%. π Enhanced platform scalability and parallel execution, increasing deployment frequency by 40%. π‘οΈ Integrated the platform via APIs to various security gates and policy checks to ensure secure production rollouts.
Product Specialist at IDrive Software India Pvt Ltd, Apr 2022 - Oct 2023 Β· 1 yr 7 mos, India
System Engineer at IDrive Software India Pvt Ltd, Apr 2017 - Apr 2022 Β· 5 yrs 1 mo, Bengaluru, Karnataka, India, β Deployed and monitored testing and development infrastructure to achieve 99.99% uptime. β Experienced in Setting up the build and deployment automation using Terraform scripts β Provisioned the highly available EC2 Instances using Terraform β Identified and reported bugs in testing and production environments. β Integrated multiple systems and deployed products under various environments(on-prem & third party cloud like AWS) to reconcile needs of different teams. β Tested and deployed product patches within SLA (e.g. upgrades, firmwares and Bugfixes) as per RCA. β Resolved escalated tickets within the given SLA. β Worked as a part of the global Ops team and led the Indian team of 4. β Provided KT to team about new releases, best practices and troubleshooting. β Built and maintained KBase for the team which resulted in reduced turnaround time and increased SLA.
IT Analyst at Microland Limited, Jun 2015 - Apr 2017 Β· 1 yr 11 mos, Bengaluru, Karnataka, India, β Organizing and validating documented users feedback about the products and its features. β Re-creating the user's environment and deploying different Acronis products to replicate issues. β Verify the bugs(environment specific, user specific or universal) and forward the same to the product development team through JIRA. β Analyze the collected feedback for volume drivers and communicate the resolution steps though well documented Knowledge base articles. β Analyze the data collected through feedback and tickets to narrow down the most disliked and problematic features/changes and convey the results with the product design and development teams. β Recommend best possible solutions based on research and analysis.
Information Technology Analyst at Microland Limited, Jun 2015 - Apr 2017 Β· 1 yr 11 mos, Resolved 200+ unique user environment issues during Acronis product deployments. Reduced incident resolution time by 30% through effective troubleshooting. Accelerated bug fixes by 40% using a systematic JIRA-based verification approach. Authored and published over 50 comprehensive knowledge base articles based on volume driver analysis, improving team efficiency by 25%.
Technical Support Engineer at Infinite Computer Solutions, Feb 2014 - Jun 2015 Β· 1 yr 5 mos, β Troubleshooting Backup Failures, Understanding Backup Job Status Codes, and Configure backup policies for client aware applications, Client Specific and advance restores. β Prepare a detailed report on the plan of action for the existing tickets for the next shift engineer (Shift Handover Report) β Following the various Escalation Matrices (Vendor, Internal and Customer defined). β Handling all Major and corporate customers. β To ensure the smooth operation of communication networks in order to provide maximum performance and availability for their users. β Handling escalation independently and ensuring that such incidents should not happen in future β Working based on tickets and Creating change requests using the Change Management tool. β Supporting all Vendor Engineers for L2 calls.
Nanodegree, Data Analyst, Udacity
Workshop, Data scicence expert, BEPEC