Sunil Saini

DevOps Engineer

Bengaluru, Karnataka, India10 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

9 years of experience in DevOps and Cloud Technologies.
Expert in AWS, Kubernetes, and CI/CD pipelines.
Strong development skills in Python and Golang.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps expert with a focus on automation and cost optimization.

Contact

Skills

Core Skills

DevopsCloud Native TechnologiesKubernetesCloud Cost OptimizationDisaster RecoveryEmail DeliverabilityEmail MigrationDashboard DevelopmentLog ParsingEmail InfrastructureData ManagementAutomationCi/cdData AggregationCloud EngineeringDatabase ManagementPredictive AnalyticsSecurity Management

Other Skills

AWSAlgorithmsBASHBashBootstrap4Boto3BotsCascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Data StructuresDockerDynamoDBEC2Elastic SearchElasticsearch

About

● Experienced DevOps Professional with 9 years of experience in field of DevOps, SRE and Cloud Native Technologies ● Strong Development Skills in Golang, Python, Flask, AWS Boto3 & Lambda ● Good Expertise in AWS, Kubernetes, Docker, Terraform, ELK, Elasticsearch, Redis, Prometheus, Grafana, Loki, Jenkins, CI/CD, HAProxy ● Strong Domain knowledge in Email Deliverability Protocols as SMTP, IMAP, POP3 & LMTP ● Enthusiastic and eager learner in field of AI, ML Github - https://github.com/sunil-saini Hackerrank - https://www.hackerrank.com/sksaini

Experience

10 yrs 4 mos

Total Experience

2 yrs

Average Tenure

7 yrs 2 mos

Current Experience

Titan

3 roles

DevOps Lead

Promoted

Jul 2023 – Present · 2 yrs 11 mos · Greater Bengaluru Area · On-site

Senior DevOps Engineer

Jul 2020 – Aug 2023 · 3 yrs 1 mo · Greater Bengaluru Area · On-site

DevOps Engineer

Apr 2019 – Jul 2020 · 1 yr 3 mos · Greater Bengaluru Area · On-site

Tech Stack - Mail & Messenger Infrastructure, Python, Golang, Bootstrap4, Flask, BASH, AWS, Kubernetes, Loki, Docker, Terraform, Saltstack, MongoDB, Redis, Elasticsearch, ELK Stack, Prometheus, Grafana, Spot Instances, HAProxy
➢ Kubernetes Onboarding - Created Prod Kubernetes Cluster in AWS EKS from Scratch and built Access, Deployment, Logging, Monitoring Pipelines with Terraform, Jenkins, Loki, Elasticsearch, Prometheus, Grafana
➢ Spot Instances - Moved 100% of Staging, QA, Ad Hoc, 30-40% Stateless Production workloads to AWS Spot instances to reduce approx 40-45% Ec2 Costs in general
➢ Disaster Recovery Setup - Written Terraform modules for recreating whole infra in another AWS Region by keeping DR strategies in mind
➢ Ratelimit Integration - Written Ratelimit Application for MAIL Infra to set allowed Mail Sending Limits using Python, Redis, Lua Scripts
➢ Email Migration Tool - Written Python Multithreaded Backend Service for Email Migrations from one email account to another account over IMAP Protocol
➢ Information Dashboard - Written UI and Backend Service to access information about client accounts and their various mail transactions history using Python Flask, Bootstrap4, Javascript
➢ Mail Log Parser - Written multithreaded Python Backend for parsing of SMTP Postfix Mail Server email logs in to track an email state and classify the email bounce reasons, exposed various performance Prometheus Metrics to see overall performance and latency of Mail Infra
➢ Exposure to Golang - Developed and managing Prod ready SMTP Milter application written in Golang and exposed various application metrics for Prometheus scraping
➢ AWS Cost Optimizations - Taken various initiatives to reduce and optimize AWS Costs for Ec2 Compute, CloudFront, S3, Ec2 Data Transfer by identifying the scope of using SPOT Instances, introducing caching at various levels etc
➢ Elasticsearch Cluster Migration to Kubernetes - Upgraded ELK Cluster from v6.0 to v8.7 and moved to Kubernetes

PythonGolangAWSKubernetesDockerTerraform+8

Airtel

DevOps Engineer

Mar 2018 – Mar 2019 · 1 yr · Gurgaon, India · On-site

Tech Stack - Python, BASH, CI/CD, Jenkins, Elasticsearch, MongoDB, Redis, Aerospike, InfluxDB, ELK, Grafana, Telegram Bots, Logging & Parsing, Automation
➢ Streamlined the Build & Release Process - Deployed Canary Release Processes to make releases documented, systematic, automated, efficient and error free by integrating Jenkins Pipelines, Elasticsearch, Time series InfluxDB & Jira
➢ Data Aggregator Tool - Developed a python tool to collect various required Application Performance Metrics like System, API & Business Metrics etc from Elasticsearch, MongoDB, MySQL to a common platform (InfluxDB) to quantify every release performance against these metrics and then tag release with Success or Failure accordingly
➢ Common Dashboarding Platform - Based on this data aggregator tool developed a common platform to show a high granular view of Business, Project, Application, System Metrics integration with Grafana & InfluxDB

PythonBASHCI/CDJenkinsElasticsearchMongoDB+5

Sentieo

DevOps Engineer

Jan 2017 – Jan 2018 · 1 yr · New Delhi Area, India · On-site

Tech Stack - AWS, Python, Lambda, Shell, Elastic Search, MongoDB, SES
➢ Integration of Spot Instances - Automated the process of detecting under utilized AWS EC2 instances and downgrading them to possible Spot instances to save organization around $200K annually
➢ Lambdas & Scripts - Written scripts to automate the backup, restore process of Mongodb, Elasticsearch & Redis. Developed alerting tool in integration with SES, Slack

AWSPythonLambdaShellElastic SearchMongoDB+3

8k miles software services ltd

Cloud Engineer

May 2016 – Oct 2016 · 5 mos · Chennai Area, India · On-site

Tech Stack - AWS , Python, Boto3, DynamoDB
➢ Downtime Prediction of EC2 using Linear Regression - Developed a learning Based Prediction Application in Python for AWS EC2 instances to notify about possible next downtime by monitoring its past trend of CPU, Memory, Disk & Network usage
➢ APIs, Python Modules, Migration Scripts, lambdas - Written backend APIs and scripts to identify various security, cost, compliance, performance risks and vulnerabilities in an entire business’ AWS infrastructure to help its users to manage their AWS accounts in a secured, cost effective, and productive way

AWSPythonBoto3DynamoDBCloud Engineering

Ramco systems

Analyst programmer

Jul 2015 – Apr 2016 · 9 mos · Chennai Area, India · On-site

Tech Stack - Java, MS SQL Server, Oracle
➢ SQL Stored Procedures - written backend SQL stored procedures for new web pages and optimized few existing pages of Payroll, Attendance, Leave, Time Management Modules of ERP & HCM related Projects

JavaMS SQL ServerOracleDatabase Management