Bilal Tisekar

DevOps Engineer

Bengaluru, Karnataka, India11 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Built high-performing SRE teams from scratch.
  • Led infrastructure modernization initiatives across the organization.
  • Pioneered AI/ML strategies for operational excellence.
Stackforce AI infers this person is a SaaS Infrastructure and Site Reliability Engineering expert.

Contact

LinkedIn

Skills

Core Skills

Site Reliability EngineeringInfrastructure ManagementTechnical Leadership

Other Skills

AI/MLAI/ML strategiesAPI DevelopmentAWSAmazon Web Services (AWS)AnsibleApache AirflowApache SparkArchitectureArgo cdAutomationBudgetingCapacity planningCentOSChaos engineering

About

Hands-on technical leader with a proven track record of building high-performing SRE teams from zero to production-ready operations. Currently leading Site Reliability Engineering for Data & AI platforms, managing mission-critical infrastructure serving 🔧 TECHNICAL LEADERSHIP IN ACTION - Built and scaled the SRE team for Data & AI from inception, establishing practices, runbooks, and operational excellence - Manage critical infrastructure for Data and AI - Leading SRE for EA's Ads Platform from ground zero: architecting for scale, reliability, and business-critical uptime as a new revenue-generating platform - Hands-on with Kubernetes, infrastructure automation, and cloud-native architectures 🚀 DRIVING ORGANIZATIONAL TRANSFORMATION - Spearheading org-wide infrastructure modernization initiatives: - Infrastructure as Code (IaC) adoption with "born secure" principles - Unified observability stack: centralized logging, monitoring, and distributed tracing - Modern application deployment patterns (GitOps, progressive delivery) - Evaluate and architect key integration strategies across ORGANIZATION - Champion reliability engineering practices: SLO/SLI frameworks, chaos engineering, capacity planning 🤖 AI-POWERED SRE INNOVATION - Pioneering AI/ML strategies to transform SRE operations: - Reduce operational toil through intelligent automation - Decrease MTTR (Mean Time To Recovery) with AI-assisted incident response - Improve MTTD (Mean Time To Detection) using predictive anomaly detection - Building self-healing infrastructure leveraging AI/ML models

Experience

11 yrs 10 mos
Total Experience
2 yrs 11 mos
Average Tenure
3 yrs 1 mo
Current Experience

Electronic arts (ea)

2 roles

Principal Engineer/Engineering leader Infrastructure

Promoted

Jun 2025 – Present · 1 yr · Hybrid

  • Hands-on technical leader with a proven track record of building high-performing SRE teams from zero to production-ready operations. Currently leading Site Reliability Engineering for Data & AI platforms, managing mission-critical infrastructure serving
  • 🔧 TECHNICAL LEADERSHIP IN ACTION
  • Built and scaled the SRE team for Data & AI from inception, establishing practices, runbooks, and operational excellence
  • Manage critical infrastructure for Data and AI
  • Leading SRE for EA's Ads Platform from ground zero: architecting for scale, reliability, and business-critical uptime as a new revenue-generating platform
  • Hands-on across entire cloud ecosystem across tools such as Kubernetes, infrastructure automation, observability stack (logging, monitoring, tracing), Python automation, CI/CD pipelines, and cloud-native architectures—leading by example, not just delegation
  • 🚀 DRIVING ORGANIZATIONAL TRANSFORMATION
  • Spearheading org-wide infrastructure modernization initiatives:
  • Infrastructure as Code (IaC) adoption with "born secure" principles
  • Unified observability stack: centralized logging, monitoring, and distributed tracing
  • Modern application deployment patterns (GitOps, progressive delivery)
  • Evaluate and architect key integration strategies across ORGANIZATION
  • Champion reliability engineering practices: SLO/SLI frameworks, chaos engineering, capacity planning
  • 🤖 AI-POWERED SRE INNOVATION
  • Pioneering AI/ML strategies to transform SRE operations:
  • Reduce operational toil through intelligent automation
  • Decrease MTTR (Mean Time To Recovery) with AI-assisted incident response
  • Improve MTTD (Mean Time To Detection) using predictive anomaly detection
  • Building self-healing infrastructure leveraging AI/ML models
KubernetesInfrastructure automationCloud-native architecturesSLO/SLI frameworksChaos engineeringCapacity planning+6

Infrastructure Tech Lead/Tech lead Manager

May 2023 – Jun 2025 · 2 yrs 1 mo · Hybrid

Atlassian

Senior Site Reliability Engineer

May 2019 – Jun 2023 · 4 yrs 1 mo

  • Information Technology Professional with approximately 8 years of experience working on various platforms.
  • Handling entire infrastructure stack for internal Jira and confluence applications and also for external customers for datacentre stacks for Atlassian
  • Architecting and implementing best practices and maintaining reliability for internal Atlassian stacks such as Tableau for data platforms, UiPath for Robotic process automation and Jira and confluence datacentre
  • Created entire tech stack and Worked on various technologies such as aws, ansible, Jenkins,bitbu ketpipelines, Terraform,helm,signalfx splunk,linux,docker,Kubernetes,Grafana and python for provisioning the entire infrastructure stack for Atlassian and Samsung services
  • .Automation of various tasks with python and other scripting languages for reliability of services
  • .Created observability application from ground up using python fast api and SQL achemy
  • Setting Quarterly OKRs, track progress, create alignment and encourage engagement around measurable goals
  • Sprint Planning, Review and minimize spillovers.
  • Conduct day-to-day project coordination, planning, and implementation across multiple teams
  • Manage and Lead the team
  • Interface with Developer, Product Manager/Owners to improve and implement SRE practices and observability.
  • Developed cloud architecture strategy and resolution of the architectural issue
AWSAnsibleJenkinsTerraformLinuxDocker+5

Samsung r&d institute india - bangalore private limited

2 roles

Lead Engineer

Mar 2019 – May 2019 · 2 mos

Senior Software Engineer

Jun 2017 – May 2019 · 1 yr 11 mos

  • Worked on various technologies such as aws, ansible, Jenkins, Terraform, linux and grafana for provisioning the entire infrastructure stack for Samsung make for India services
  • Part of a global Team working on multicloud [aws ,gcp] immutable architecture in bixby 2.0. and worked on various technologies
  • Worked on terraform and ansible modules to be used across Samsung projects
  • Worked and Implemented Diagnostic tool for determine issues in Bixby 1.0 using ansible and Jenkins
  • Developed cloud architecture strategy and resolution of architectural issues
  • Educational Detail
AWSAnsibleTerraformLinuxGrafanaInfrastructure Management+1

Capgemini

Senior Systems Engineer

Jul 2014 – May 2017 · 2 yrs 10 mos · Mumbai, Maharashtra, India

  • The project involved setting up and configuring a cloud environment and performing automation of various processes.
  • Support the setup, configuration, and maintenance of an effective AWS cloud environment.
  • Worked on Linux administration and configuration(Redhat)
  • Installed ansible and Jenkins and automated manual tasks as part of DevOps .
  • Performed troubleshooting of issues and automated tasks
AWSLinuxAnsibleJenkinsInfrastructure ManagementTechnical Leadership

Education

SP Jain School of Global Management - Dubai, Mumbai, Singapore & Sydney

Executive MBA

Jan 2021 – Jan 2023

University of Mumbai

Engineer’s Degree — Electronics and Communications Engineering

Jan 2010 – Jan 2014

University of Mumbai

Bachelor of Engineering (B.Eng.)

Jan 2010 – Jan 2014

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