Bikash Das

DevOps Lead at ETMoney with expertise in engineering cloud-native architectures and optimizing CI/CD workflows, resulting in a 50% increase in deployment velocity. Proficient in Kubernetes and AWS governance, with a strong focus on driving security initiatives. Demonstrated ability to foster collaboration across teams, ensuring robust infrastructure and compliance readiness.

DevOps Lead at ETMoney (2019-09 – Present)

• Implemented and managed production-grade Kubernetes clusters with ArgoCD for GitOps-based drift detection and automated state reconciliation across production environments.
• Designed and deployed multi-zone Kubernetes architecture to improve application resiliency, fault tolerance, and high availability for critical production workloads.
• Modernized and optimized enterprise CI/CD workflows using Jenkins, improving SDLC efficiency, deployment velocity, and release reliability by 50%.
• Integrated enterprise security scanning tools including Checkmarx, SonarQube, and Flyingduck into Jenkins/GitOps CI/CD pipelines, enabling shift-left security and proactive vulnerability management.
• Spearheaded proof-of-concept evaluation and enterprise rollout of SAST tooling in CI/CD pipelines, enhancing application security posture and minimizing production vulnerability exposure.
• Led the design and implementation of a centralized logging and observability platform using ELK Stack, Grafana/Prometheus, eliminating manual log analysis across distributed systems and significantly accelerating incident detection and root cause analysis.
• Architected and deployed SIEM and proactive alerting solutions using ELK Stack and ElastAlert, enabling centralized security monitoring and real-time incident notifications through Slack integrations.
• Engineered a Docker-based local development ecosystem supporting 10+ microservices, reducing developer onboarding and environment setup time by approximately 70%.
• Built a real-time analytics platform leveraging Apache Pinot, Apache Kafka, and Apache ZooKeeper, enabling low-latency querying and scalable business intelligence processing.
• Automated secure log archival workflows to Amazon S3 Glacier using Python and Bash, reducing long-term storage costs while meeting compliance and retention requirements.
• Collaborated with external audit and compliance teams to advance infrastructure governance initiatives, conduct disaster recovery drills, and ensure audit readiness for PCI-DSS and SOC 2 compliance.
• Designed cloud-native microservice architecture leveraging CDN, Elastic Load Balancing, auto-scaled compute infrastructure, and database tiers to deliver secure, resilient, and highly available enterprise application platforms.

Senior DevOps Engineer at Loom Network (2019-01 – 2019-09)

• Designed, deployed, and managed Kubernetes-based infrastructure supporting blockchain workloads, ensuring scalability, reliability, and high availability of distributed systems.
• Automated multi-cloud infrastructure provisioning and deployment workflows across Amazon Web Services and Google Cloud using Ansible and Bash scripting, improving deployment consistency and operational efficiency.
• Developed and maintained CI/CD pipelines using Jenkins, streamlining build, deployment, and release management processes for enhanced workflow efficiency.
• Implemented infrastructure and application monitoring solutions using Pingdom and PagerDuty, facilitating proactive alerting and incident response to improve system uptime.
• Supported containerized application deployment and orchestration using Docker and Kubernetes across cloud-native environments.
• Built Kubernetes-powered public blockchain analytics/dashboard platform, providing real-time visibility and operational insights for blockchain network activities.

DevOps Engineer at Orb Corporation (2017-10 – 2018-12)

• Delivered two cloud-based Proofs of Concept (PoCs) and one enterprise-grade banking platform for a Japanese financial client on Amazon Web Services, scaling platform adoption from 300 to 1,500+ monthly users while contributing as part of a high-impact two-member DevOps engineering team.
• Architected and implemented scalable, secure, and highly available AWS infrastructure from the ground up, establishing foundational cloud architecture, networking, deployment automation, and operational best practices.
• Established automated deployment and infrastructure management practices with Jenkins and Bash scripting, enhancing consistency and reliability of deployments.
• Built and operated early-stage Kubernetes platform infrastructure on AWS before Amazon Elastic Kubernetes Service (EKS) launch, developing custom configuration management, provisioning, and deployment automation frameworks for scalable containerized applications.
• Engineered containerized microservices development environments using Docker, allowing in-house engineering teams to consistently run and test distributed services across local environments.
• Designed, deployed, and administered distributed database infrastructure including Cassandra and MySQL, ensuring performance, reliability, backup readiness, and operational stability for production workloads.

Research and Development Engineer at Imagineering Inc (2016-02 – 2017-02)

• Conducted flow simulation and visualization using image processing and machine learning to evaluate engine performance.
• Developed Image processing Software Tools and data analysis tools for Engine Combustion using MATLAB/Python.
• Enhanced images for flame detection through manipulation with Python using OpenCV library.
• Development of Software System (Embedded C) to control triggering system for Diesel Combustion Engine on a microcontroller.
• Analyzed heat transfer and combustion characteristics of automobile engines.

Spacecraft System Engineer at Axelspace Corporation (2013-10 – 2016-01)

• Developed software system as Reaction Wheel emulator using embedded C for on-ground spacecraft system testing.
• Created software tools using Python to analyze reaction wheel performance data.
• Developed electronics automation system using C for on-ground testing of sun sensor functionality.
• Satellite Operation in real time for image capture.
• Image processing of the Satellite images.
• Contributed to Axelspace.com project by developing software solutions.

M.E. in Aeronautics and Astronautics Engineering – University of Tokyo (2013-09)

B.Tech in Chemical Engineering – National Institute of Technology, Warangal (2009-07)