Jhalak Das

• Set technical direction for enterprise SRE across multi-cloud and on-prem platforms, defining SLI/SLO, error-budget, operational-readiness, and capacity standards while mentoring engineers and driving adoption.

• Designed and scaled AWS foundations across 20+ accounts and 70+ VPCs using landing zones, Transit Gateway, centralized logging, controlled egress, and secure cross-account connectivity.

• Built GCP foundations with VPC/IAM guardrails, Cloud DNS, centralized monitoring, BigQuery integration, private AWS connectivity, and support for Kafka-based distributed workloads.

• Defined Kubernetes standards across EKS, GKE, and hybrid environments for lifecycle management, autoscaling, resilience, network security, progressive delivery, health checks, and capacity planning.

• Implemented end-to-end observability with Datadog APM, tracing, logs, infrastructure monitoring, dashboards, and alerts across applications, Kubernetes, and cloud infrastructure.

• Led major production incidents from diagnosis through recovery, root-cause analysis, and corrective actions to prevent recurrence.

• Automated SRE workflows with Python and Bash for health checks, dependency validation, deployment verification, telemetry collection, and controlled remediation.

• Standardized IaC delivery with Terraform, CloudFormation, and GitLab CI/CD, including automated validation, peer review, and controlled production promotion.

• Built RAG-assisted SRE workflows using validated runbooks, platform standards, and incident history for troubleshooting, IaC support, and incident summarization with approval controls.

• Partnered with application, security, networking, and infrastructure teams to review designs, identify failure modes, validate rollback plans, and resolve dependencies before deployment.

• Owned reliability engineering for tier-1 platforms across AWS, Azure, and GCP, defining SLIs/SLOs and error budgets, leading major incidents, RCAs, postmortems, and systemic remediation.

• Built production observability using federated Prometheus, Grafana, OpenTelemetry, CloudWatch, CloudTrail, Splunk, and PagerDuty; SLO-based paging reduced MTTR by 50%+ and improved alert fidelity.

• Automated incident response with Python and Bash for health checks, dependency validation, controlled remediation, evidence collection, and post-incident reporting.

• Led capacity and performance engineering by analyzing utilization and saturation trends, establishing baselines, identifying constraints, and guiding scaling decisions.

• Standardized release engineering with Jenkins, GitLab CI/CD, Maven, approval gates, automated validation, artifact promotion, rollback plans, and canary/blue-green deployments.

• Reduced configuration drift using reusable Terraform modules and Ansible automation for networking, IAM/RBAC, logging, security baselines, and operational configuration.

• Operated production EKS and supported GKE, leading upgrades, autoscaling, node resilience, PodDisruptionBudgets, health checks, and failure-domain-aware deployments.

• Implemented GCP-to-AWS private connectivity using HA VPN, BGP, AWS Transit Gateway, route segmentation, and Cloud DNS forwarding to Route 53 Resolver.

• Strengthened database resilience for RDS/Aurora, PostgreSQL, Cloud SQL, Elasticsearch, and Kafka-dependent services through failover, backup/restore, performance baselines, and runbooks.

• Partnered across application, infrastructure, networking, and security teams to create reference architectures and Mermaid diagrams for traffic flows, dependencies, trust boundaries, and recovery patterns.

• Designed Azure cloud foundations for regulated healthcare workloads, including network segmentation, identity, data services, secrets management, and governance controls aligned with HIPAA and SOC 2 requirements.
• Standardized provisioning with reusable Terraform modules and ARM templates across QA, stage, and production, enforcing performance, security, and compliance patterns through IaC reviews.
• Implemented Azure governance guardrails using Azure Policy for tagging, diagnostic settings, approved configurations, and audit evidence, reducing drift and strengthening operational readiness.
• Built Azure DevOps CI/CD for Java and Python microservices with automated tests, policy checks, security scanning, deployment approvals, and rollback controls.
• Implemented centralized monitoring and distributed-trace visibility using Azure Monitor, Application Insights, and Log Analytics, enabling actionable dashboards and alerting across Linux and Windows estates.
• Automated patching, agent installs, configuration management, environment validation, and recurring operations using Ansible, Python, and PowerShell, reducing manual effort and improving baseline compliance.

• Built and maintained CI/CD pipelines using Jenkins, Git, and Maven for Java applications, integrating artifact management with Nexus and quality scanning with SonarQube.
• Containerized applications using Docker and deployed services to AWS ECS, Fargate, and Kubernetes, improving repeatability and scalability of application delivery.
• Authored Terraform and AWS CloudFormation templates for VPC, EC2, RDS, IAM, and supporting services, applying modularization, version control, and reusable infrastructure patterns.
• Used Ansible to automate Linux patching, agent installation, configuration management, and application setup across server fleets.
• Monitored application and system health with AWS CloudWatch, custom metrics, log-pattern alarms, and CPU/memory thresholds; supported rollback and release troubleshooting during incidents.
• Supported Cloudera Hadoop, HDFS, YARN, Spark, and Impala operations, including job monitoring, service restarts, capacity issues, log cleanup, and Bash-based cluster-health automation.
• Implemented and tested blue-green/canary release patterns using load-balancing and DNS controls to reduce deployment risk and improve rollback speed.
• Handled secrets and parameter management through AWS Systems Manager Parameter Store, SSL/TLS practices, and IAM-based access controls.

• Administered Linux/Unix systems across physical and VMware infrastructure, including patching, kernel tuning, filesystem management, process troubleshooting, network diagnostics, and system performance monitoring.
• Automated daily maintenance, backups, log rotation, disk cleanup, health checks, and recurring operational tasks using Bash and Cron, reducing repetitive administration.
• Monitored infrastructure and internal applications using Nagios and Grafana, implementing alerting for CPU, memory, storage, process, and service-availability anomalies.
• Supported an on-premises Cloudera Hadoop environment, including HDFS storage management, log monitoring, node-availability checks, resource utilization, and routine recovery activities.
• Supported Oracle and PostgreSQL databases, including backup jobs, minor patching, storage and capacity planning, and coordination of recovery procedures.
• Managed user access with LDAP and Active Directory, investigated hardware and networking failures, and authored SOPs for patching, server builds, system backups, and OS-level security baselines.