Jan 2024 – Nov 2024 · 10 mos · Toronto, Ontario, Canada · Remote

Oct 2023 – Jan 2024 · 3 mos · Toronto, Ontario, Canada

• Relocated to Toronto, Canada

Jan 2023 – Sep 2023 · 8 mos · Hybrid

• Spearheaded a high-performing team of SREs, fostering a culture of ownership, accountability, and continuous learning
• Implemented Observability pillars (Monitoring, Logging, Tracing) using technologies like Prometheus, Grafana, ELK stack, Opentelemetry, etc. Improved system stability, reduced operational overhead, and enhanced service performance.
• Identified gaps in existing processes and implemented changes to improve the overall resilience and high availability of systems like kubernetes (EKS), Virtual Machines (EC2), Databases (RDS) on AWS cloud
• Defined and monitored SLOs to measure system reliability to achieve defined performance metrics
• Enhanced system reliability by optimizing SLAs to reduce response time and improve performance
• Collaborated with the team to implement Agile methodologies, resulting in enhanced efficiency and increased productivity
• Streamlined upgrades (Kubernetes, DB, Redis) on AWS with minimal downtime, using Terraform, GitLab, and Helm
• Implemented Python scripts to interact with tools like Kuberhealthy to perform synthetic monitoring

Jun 2021 – Dec 2022 · 1 yr 6 mos

• Oversea and led a DevOps team, providing mentorship, guidance, and support to improve the overall efficiency
• Managed 25,000+ Kubernetes nodes running 300+ microservices, optimizing workloads and boosting operational efficiency.
• Formulated cost-cutting strategies, reducing monthly expenses by 30%, yielding USD 3M in annual savings
• Designed and developed migration utility in Python to migrate 9 Petabytes of data from AWS S3 to GCP GCS
• Conducted comprehensive analysis and troubleshooting of infrastructure components including Compute, Networking (DNS, TCP/IP, Loadbalancing), Storage and Operating systems on GCP
• Initiated and maintained DevOps automation, enhancing developer experience through IAC, Configuration Management, and Release Management.

Jan 2020 – Jun 2021 · 1 yr 5 mos · Remote

• Guided the deployment, troubleshooting and maintenance of data science applications like Apache Airflow, Snowflake, AWS EMR etc to minimize operational efforts
• Introduced CI/CD pipelines, ensuring efficient and reliable application deployment with reduced failures
• Enforced Terraform Cloud adoption, automating AWS resource provisioning for enhanced operational efficiency
• Integrated APIs and developed custom tools in Python to facilitate seamless communication between different systems
• Mentored DevOps engineer fostering a culture of ownership and continuous learning

Jul 2019 – Jan 2020 · 6 mos

• Delivered Dockerized Java, Golang and Javascript applications
• Led cross-functional collaboration to identify and address bottlenecks in the build and release pipeline resulting in a 30% increase in deployment efficiency and accelerated time-to-market for new features
• Streamlined the coordination efforts for troubleshooting and resolving scalability and deployment challenges, resulting in a 50% decrease in production incidents and enhancing system stability

Dec 2017 – Jun 2019 · 1 yr 6 mos · Remote

• Prepared requirement gathering, and performed functional and detailed design analysis
• Engineered and implemented a highly scalable and fault-tolerant distributed infrastructure on the AWS Cloud using services like IAM, VPC, EC2, ECS, EKS, RDS, ELB, S3 etc
• Leveraged Python boto3 library to integrate multiple AWS services like EC2, Lambda, API Gateway, DynamoDB, SNS, etc
• Simplified AWS deployment with optimized CloudFormation templates, reducing manual efforts
• Conducted demo sessions, presentations, and KT to improve user proficiency.

Jan 2016 – Dec 2017 · 1 yr 11 mos

• Design and develop a continuous deployment pipeline, integrating Test-Kitchen, Vagrant, Git, Jenkins and Chef across geographically separated hosting zones in AWS
• Automated developer machine setup using Vagrant / VirtualBox, git and chef
• Migrated code from SVN to Git along with a new branching and merging strategy to improve product quality and faster release cycle
• Created a new in-house utility such as check style, code quality, connection leak and find bug to enhance the quality of code and performance
• Led effort to in-house all repositories and implement a scalable data center to cloud and back solution
• Partnered with teams to determine application requirement specifications

Apr 2015 – Dec 2015 · 8 mos

Aug 2014 – Mar 2015 · 7 mos · On-site

• Implemented application performance monitoring solutions like Nagios, Dynatrace, Splunk etc for 300+ applications for a banking domain
• Collaborated with different teams to gather requirements regarding monitoring their applications
• Participated in on call rotation to remediate any system failure