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DevOps Engineer
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DevOps Engineer

Ashwini Damle's profile picture
Posted by Ashwini Damle
2 - 3 yrs
₹10L - ₹20L / yr
Remote only
Skills
DevOps
skill iconKubernetes
skill iconDocker
Kafka
Shell Scripting
skill iconAmazon Web Services (AWS)
Terraform
skill iconJenkins

Job Position: DevOps Engineer

Experience Range: 2 - 3 years

Type:Full Time

Location:India (Remote)

Desired Skills: DevOps, Kubernetes (EKS), Docker, Kafka, HAProxy, MQTT brokers, Redis, PostgreSQL, TimescaleDB, Shell Scripting, Terraform, AWS (API Gateway, ALB, ECS, EKS, SNS, SES, CloudWatch Logs), Prometheus, Grafana, Jenkins, GitHub


Your key responsibilities:

  • Collaborate with developers to design and implement scalable, secure, and reliable infrastructure.
  • Manage and automate CI/CD pipelines (Jenkins - Groovy Scripts, GitHub Actions), ensuring smooth deployments.
  • Containerise applications using Docker and manage workloads on Kubernetes (EKS).
  • Work with AWS services (ECS, EKS, API Gateway, SNS, SES, CloudWatch Logs) to provision and maintain infrastructure.
  • Implement infrastructure as code using Terraform.
  • Set up and manage monitoring and alerting using Prometheus and Grafana.
  • Manage and optimize Kafka, Redis, PostgreSQL, TimescaleDB deployments.
  • Troubleshoot issues in distributed systems and ensure high availability using HAProxy, load balancing, and failover strategies.
  • Drive automation initiatives across development, testing, and production environments.


What you’ll bring

Required:

  • 2–3 years of hands-on DevOps experience.
  • Strong proficiency in Shell Scripting.
  • Practical experience with Docker and Kubernetes (EKS).
  • Knowledge of Terraform or other IaC tools.
  • Experience with Jenkins pipelines (Groovy scripting preferred).
  • Exposure to AWS cloud services (ECS, EKS, API Gateway, SNS, SES, CloudWatch).
  • Understanding of microservices deployment and orchestration.
  • Familiarity with monitoring/observability tools (Prometheus, Grafana).
  • Good communication and collaboration skills.

Nice to have:

  • Experience with Kafka, HAProxy, MQTT brokers.
  • Knowledge of Redis, PostgreSQL, TimescaleDB.
  • Exposure to DevOps best practices in agile environments.
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About Tech Prescient

Founded :
2018
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

Tech Prescient delivers cutting-edge software product development and technology services, with a core focus on Identity and Data solutions for modern enterprises.


At the forefront of Digital Engineering and Enterprise Modernization, we accelerate innovation with our AI powered platforms, Identity Confluence and Data Confluence.

With deep technical expertise and domain insight, we help enterprises unlock smarter, faster, and more secure outcomes built for what's next.


Our vision is to be the most reliable and trusted technology partner for our customers. We aspire to be a globally admired company in our category and be recognized for speed of execution, quality of deliverables and high customer satisfaction.


We partner with our clients at all stages including ideation, design, development, testing, deployment, and support.

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Tech stack

skill iconNodeJS (Node.js)
skill iconAngular (2+)
skill iconPython
skill iconDjango
skill iconFlask
skill iconReact.js
skill iconJava
skill iconSpring Boot
skill iconGo Programming (Golang)
DevOps
skill iconAmazon Web Services (AWS)
Identity management
Data engineering
Fullstack Developer

Candid answers by the company

What does the company do?
What is the location preference of jobs?
What is the interview process at Tech Prescient?

We have core expertise in the following areas:


  1. Identity Lifecycle Management: Automate & secure your Identity Lifecycle by streamlining user access management from onboarding to off-boarding with intelligent, compliant, and automated lifecycle solutions.
  2. Software Product Engineering: Build AI integrated Products using Industry best practices. Product Design, Development and Deployment in no time leveraging our expertise and ready accelerators to efficiently build, deploy and scale software products.
  3. Data, AI & Analytics: Scalable Data Engineering for the AI Era. Seamless data pipelines, intelligent automation, and limitless scalability—powering your business with next-gen data solutions.
  4. Cloud and Infrastructure: Building and deploying Secured and Scalable multi-tenant or hybrid applications and products ‘born in the cloud’. Expertise in hosting infrastructures and AWS in particular with a thorough understanding of AWS Cloud Services and DevOps processes with considerations to Security, access controls, and Authentication protocols.
  5. Enterprise Integration: More than 150 configurable connectors, Data transformation, data processing, data quality, Integration Strategy and Advisory, Managed Integration Service

Photos

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Connect with the team

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Amit Arole
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Ashwini Damle
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Ishika agrawal

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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