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DevOps Engineer

DevOps Engineer at Concentric AI · Pune · 4 - 10 years · ₹10L - ₹45L / yr · Raised funding · Posted 17 Feb 2023

Concentric AI's logo

DevOps Engineer

Gopal Agarwal's profile picture
Posted by Gopal Agarwal
4 - 10 yrs
₹10L - ₹45L / yr
Pune
Skills
skill iconPython
Shell Scripting
DevOps
skill iconAmazon Web Services (AWS)
Infrastructure architecture
Ansible
Nginx
HAProxy
CI/CD
Cassandra
skill iconElastic Search
skill iconMongoDB
About us:

Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.

There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.

Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.

That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.

Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

      

Requirements: 

  • Energetic self-starter, a fast learner, with a desire to work in a startup environment  
  • Experience working with Public Clouds like AWS 
  • Operating and Monitoring cloud infrastructure on AWS. 
  • Primary focus on building, implementing and managing operational support 
  • Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
  • Expert at one of the scripting languages – Python, shell, etc  
  • Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 
  • Handling load monitoring, capacity planning, and services monitoring. 
  • Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
  • Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc
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About Concentric AI

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Raised funding

About

About us:


Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.


There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.


Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.


That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.


Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/

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Tech stack

skill iconPython
skill iconJava
skill iconAmazon Web Services (AWS)
skill iconMongoDB
skill iconKubernetes
Ansible
CI/CD

Candid answers by the company

What does the company do?
What is the location preference of jobs?
How does leadership work at concentric AI?
Why join Concentric AI?
What’s Concentric AI's compensation policy?
Why developers love working at Concentric AI?
How's Concentric AI work culture?

Concentric AI is a US-based Series-A-funded startup. It has engineering offices in Bangalore, San Jose, and Pune.


We are in the data security domain and use AI and machine learning to solve customer use cases. Our customers, large and mid-size enterprise customers are across verticals.


Using Semantic Intelligence, we address data security without rules or regex or end-user involvement. Our product helps gain visibility into the who, where and how of an enterprise customer's sensitive data. A customer can automatically remediate and minimize data risk with Concentric AI.


You can go through details of Concentric product on our website - www.concentric.ai

Product showcase

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Gain visibility into the who, where, and how of your sensitive data. Automatically remediate and minimize data risk with Concentric AI.
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  • Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
  • Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
  • Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
  • Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
  • Automate operational tasks using Python, Bash, and Groovy scripting.
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  • Bachelor's degree in Computer Science, IT, Electronics, or a related field.
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  • Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
  • Strong scripting skills in Python and Bash.
  • Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
  • Good understanding of Linux, networking, SQL, and cloud security best practices.


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Salary: Above market standards, flexible for the right candidate

Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations


About FrontM

FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.

The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.


Role Summary

As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.

This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.


Key Responsibilities

Cloud Infrastructure & DevOps Architecture (≈45%)

· Own, maintain and improve AWS cloud infrastructure for FrontM platforms

· Create and maintain Terraform scripts for infrastructure deployment and management

· Manage Kubernetes workloads deployed within AWS EKS

· Support multi-zone AWS infrastructure design for availability, resilience and scale

· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap

CI/CD, Operations & Platform Reliability (≈35%)

· Build, maintain and improve CI/CD pipelines for backend and platform services

· Oversee technical operations with hands-on administration, monitoring and release support

· Ensure continuous server uptime, stability, performance and maintainability

· Debug, respond to and restore system outages in production and staging environments

· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io

· Support backend stability, scale and performance across Node.js, Java and related services

Security, Networking & Production Support (≈20%)

· Maintain AWS security configurations, access controls and monitoring practices

· Support complex networking requirements across multi-domain SaaS implementations

· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users

· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements

· Document operational procedures, incident findings and technical support steps clearly


Required Technical Skills

Cloud Infrastructure & AWS

· Strong hands-on experience with AWS infrastructure and cloud operations

· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Experience with AWS security setup, monitoring and multi-zone infrastructure

· Ability to manage infrastructure using Terraform

Kubernetes, CI/CD & Observability

· Strong experience with Kubernetes, preferably AWS EKS

· Extensive CI/CD and DevOps experience

· Experience with infrastructure observability and application monitoring tools

· Ability to diagnose production bottlenecks, server failures and performance issues

Backend, Networking & SaaS Operations

· Experience supporting Node.js, Java and backend system procedures for stability and scale

· Good understanding of APIs, integrations and backend service dependencies

· Experience with complex networking and multi-domain SaaS implementations

· Ability to troubleshoot technical issues with non-technical end users

Nice to Have

· Experience with MongoDB clusters in MongoDB Atlas

Personal Attributes

· Strong ownership mindset for uptime, reliability and production stability

· Practical problem-solving approach with the ability to act quickly during incidents

· Clear written and spoken communication in English

· Ability to work independently and coordinate with senior management when required

· Comfortable working in fast-moving engineering teams

· Attention to detail in security, monitoring, documentation and operational processes


Why join FrontM?

Long-Term Career Growth

Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.

Engineering Challenges That Matter

Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.

Broad Technical Ownership

Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.


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Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.

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Shubham Vishwakarma

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