Sujay Ambekar

DevOps Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Expert in cloud infrastructure automation and optimization.
Proven track record in building observability solutions.
Strong experience in deploying scalable applications.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and automation within the SaaS industry.

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Skills

Core Skills

Cloud ComputingInfrastructure AutomationObservabilityMonitoringWeb DevelopmentMachine Learning

Other Skills

AWSAWS LambdaAlertingAmazon EKSAmazon Relational Database Service (RDS)Amazon Web Services (AWS)AnsibleApache KafkaArgoAutomationBackstageBashCCiliumCommunication

About

Innovative and results-driven DevOps Engineer with a passion for optimizing software development and deployment processes. Equipped with hands-on experience, I architect and implement scalable infrastructure solutions, automating workflows and fostering collaboration between development and operations teams. In my current role, I work with a team of engineers to design, implement and maintain cloud based infrastructure and applications for Zepto. I use tools and technologies such as AWS, Kubernetes, Docker, Python, GitOps and Terraform to automate deployment, provisioning, scaling, monitoring and testing of cloud resources and services.

Experience

3 yrs 7 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs

Current Experience

Zepto

2 roles

SDE 2 - DevOps

Promoted

Oct 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

Building resilient in-house observability solutions to handle terabytes of telemetry data daily

AWSKubernetesDockerPythonGitOpsTerraform+2

SDE 1 - DevOps

May 2024 – Sep 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

Working with the devops and SRE team

Sprinklr

3 roles

Associate Cloud Engineer

Promoted

Jan 2024 – May 2024 · 4 mos · Bengaluru, Karnataka, India · Hybrid

Designed and deployed a PagerDuty Severity 0 alert system, monitoring available IPs in subnets attached to node groups.
Created a Teams alert for tracking nodes with cpu and memory utilization below 10 percent across all clusters.
Designed automation for upgrading EKS cluster addons like VPC CNI, kube-proxy, coredns, and ebs-csi driver to their latest versions.
Implemeted AWS S3 event triggering mechanism, leveraging Lambda functions to send email notifications via AWS SNS.
Setup strong ciphers using secure SSL policies with TLS v1.2 to the forwarding rules of the Load Balancers.
Implemented a High Availability VPN Tunnel between our Google Cloud Platform (GCP) infrastructure and the on-premises Data Center of our client.
Implemented cluster autoscaler functionality in EKS cluster for dynamic scaling.
Developed an SRE script to validate EKS cluster autoscaler versions against cluster Kubernetes versions.
Developed a Jenkins-Python automation framework leveraging Python’s Boto3 library to increase or decrease the disk size of a nodegroup.
Employed best practices in containerization by building Docker containers using distroless or lightweight images, minimizing security vulnerabilities and optimizing image size.
Migrated EBS volumes from gp2 to gp3 as part of cost optimization.
Collaborated with team leads to setup jenkins pipelines for EKS and GKE cluster upgrades and patching, minimizing downtime and operational disruptions.
Migrated production workloads from one nodepool to another as part of cost saving activities.
Setup PVs and PVCs, deployed prometheus, filebeat, ingress controllers, linkerd, keda etc in the clusters, configured Grafana and Linkerd dashboards.
Performed daily on-call duties, responding to critical production issues, providing troubleshooting and resolution support.
Actively contributed to Knowledge Transfer sessions (KTs).

PagerDutyAWS LambdaEKSDockerJenkinsPython+2

Associate DevOps Engineer

Jul 2023 – Dec 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

DevOps Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Hewlett packard enterprise

Project Intern (HPE CTY)

Feb 2022 – Jul 2022 · 5 mos · Bengaluru, Karnataka, India · Remote

Worked on "Predicting cloud storage consumption using time-series analysis"
Built a web application using React as frontend and Flask as backend.
Generated a dataset using python scripts for different usage patterns.
Implemented a variety of forecasting models like ARIMA, AutoArima, LR, XGB, RNN-LSTM and Prophet.
Analyzed the ML models based on their MAE, MSE, R2 and RMSE scores.
Got an accuracy of around 85% on increasing-decreasing data and 95% on seasonal data.

ReactFlaskMachine LearningWeb Development