Shrenik Pillai
@shrenikpillai
DevOps engineer specializing in cloud-native automation, observability, and reliability.
United StatesWhat I'm looking for
I am a DevOps engineer focused on cloud-native automation, observability, and reliability engineering, with hands-on experience operationalizing Dynatrace and ELK at scale and building reusable CI/CD frameworks to improve release stability and deployment frequency.
At o9 Solutions I automated AWS IaC provisioning, implemented self-healing patterns, defined SLIs/SLOs and led blameless postmortems — contributing measurable reliability improvements and reduced operational toil.
I also built real-time inference pipelines and performance-optimized computer vision systems during internships and student leadership roles, and I enjoy mentoring peers on containerization, deployment automation, and observability-driven improvements.
Experience
Work history, roles, and key accomplishments
DevOps Engineer
o9 Solutions
Jan 2023 - Jul 2025 (2 years 6 months)
Operationalized observability-at-scale and automated Dynatrace and ELK deployments via Terraform/CDK and CloudFormation, reducing incident MTTR by 5% and preventing 15% of outages; built reusable CI/CD frameworks that ensured 99.9% release stability and increased deployment frequency by 6%.
Technical Lead
Google Student Developer Club
Sep 2021 - Aug 2022 (11 months)
Delivered Docker and Kubernetes labs for 35+ participants and deployed EKS proof-of-concept clusters with integrated CI/CD and monitoring, mentoring students to achieve 100% lab success.
Computer Vision Intern
Moksa.ai
Jan 2022 - Apr 2022 (3 months)
Developed and operated Python-based theft detection using face recognition to process 10k+ events/hour, improving real-time inference reliability and reducing latency to 40ms through GPU profiling and automated performance testing.
Education
Degrees, certifications, and relevant coursework
TDThe University of Texas at Dallas
Master of Business Analytics and Artificial Intelligence, Business Analytics and Artificial Intelligence
2025 -
Grade: 3.50/4.00
Pursuing a Master of Business Analytics and Artificial Intelligence beginning August 2025 with a current GPA of 3.50/4.00.
Amrita School of Engineering
Bachelor of Engineering, Computer Science and Electronics Engineering
2019 - 2023
Grade: 3.34/4.00
Activities and societies: Google Student Developer Club technical lead (Sep 2021 — Aug 2022); projects include Lie Detection AI.
Completed a combined Bachelor program in Computer Science and Electronics Engineering with a GPA of 3.34/4.00 from July 2019 to August 2023.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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