Oct 2024 – Feb 2025 · 4 mos · Remote

• Defined, managed, and analyzed SLIs and SLOs to measure system performance and availability effectively.
• Leveraged data analysis and statistical methods to identify performance trends, detect anomalies, and drive proactive optimizations.
• Designed and implemented automation frameworks to reduce manual effort and improve efficiency.
• Implemented and optimized monitoring, alerting, and logging tools to proactively mitigate issues and recommend improvements.
• Partnered with internal teams to diagnose and resolve incidents, ensuring system reliability.
• Collaborated with product engineering teams to promote and implement scalable, resilient system designs.

Feb 2022 – Sep 2024 · 2 yrs 7 mos · Remote

• Manage and build a versatile tech stack, including Kubernetes deployments across AWS and AZURE environments.
• Specialize in optimizing, scaling, and monitoring big data technologies such as Kafka, Elasticsearch, Spark, and PostgreSQL.
• Enhance cloud security by implementing best practices and security measures.
• Test and improve system integrity, application development processes, and other infrastructure-related components.
• Leverage open-source technologies and tools, including CI/CD pipelines and version control systems like Git, to streamline development and deployment workflows.
• Automate and optimize operational processes to improve efficiency and reduce manual intervention.
• Oversee code deployments, fixes, and updates, and manage the overall release process.
• Respond to system alerts and provide on-call support to ensure high availability and rapid resolution of incidents.
• Estimate, plan, and execute on various projects, features, and integrations, ensuring alignment with business goals and timelines.
• Stay current with industry trends and continuously seek new technologies and methods to improve system performance and reliability.

Sep 2021 – Feb 2022 · 5 mos · Remote

May 2019 – Aug 2021 · 2 yrs 3 mos · Gurgaon, Haryana, India · On-site

• Infrastructure Management: Managed infrastructure and applications like CURA, ensuring seamless operations and high availability.
• Kubernetes Deployment: Deployed AWS (EKS) and GCP (GKE) Kubernetes clusters, provisioning infrastructure using Terraform for efficient resource management.
• Automation: Automated workflows with Jenkins, streamlining CI/CD processes and improving deployment efficiency.
• Helm Charts: Developed and deployed Helm charts for applications, facilitating easy deployment and management in Kubernetes.
• Monitoring & Logging: Monitored systems and logs using Kibana, CloudWatch, New Relic, and RDS Performance Insights, ensuring timely issue detection and resolution.
• Issue Resolution: Resolved critical issues using Docker, Kubernetes, and Elastic Beanstalk, maintaining system stability through debugging and service restarts.
• API Development: Built and deployed RESTful APIs with Python (Flask, FastAPI), testing with Postman and Insomnia to ensure functionality.
• Incident Management: Managed incidents via JIRA and PagerDuty, ensuring prompt resolution and service uptime.
• Version Control: Made code changes, managed deployments in Bitbucket, and pushed updates to production environments.
• Kubernetes Monitoring: Monitored and scaled Kubernetes clusters with tools like Weave, k9s, and kubectl, ensuring efficient resource utilization.
• Redash Dashboards: Configured Redash for database queries and created dashboards to meet business requirements, effectively managing downtime.

May 2018 – May 2019 · 1 yr · Pune, Maharashtra, India · On-site

Feb 2018 – May 2018 · 3 mos · Gurugram, Haryana, India

• overall responsible to give support for urgent data requests.