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Senior DevOps Engineer at BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED · Bengaluru (Bangalore) · 4 - 10 years · ₹15L - ₹30L / yr · Bootstrapped · Posted 19 Sep 2022

BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED's logo

Senior DevOps Engineer

Devi SD's profile picture
Posted by Devi SD
4 - 10 yrs
₹15L - ₹30L / yr
Bengaluru (Bangalore)
Skills
DevOps
skill iconKubernetes
skill iconDocker
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)
Linux/Unix
Monitoring
Operating systems
System monitoring
Computer Networking
CI/CD
skill iconJenkins
Ansible
Terraform
Responsibilities:
The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.

Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
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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About BELTECH ARTIFICIAL INTELLIGENCE PRIVATE LIMITED

Founded :
2020
Type :
Product
Size :
20-100
Stage :
Bootstrapped

About

Beltech AI is one of the leading AI & IoT based company in India.Beltech AI's vision is to make urban and rural infrastructure smarter, in order to facilitate faster, easier, and transparent governance. We achieve this using state of the art AI and integrating it with public infrastructure.
Read more

Connect with the team

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Pinakee Biswas
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Yukta Jotwani
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Devi SD

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Week Off : 01st & 03rd Saturday Off

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We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.


Key Responsibilities :

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Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership


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Job Title : DevOps / Infrastructure Engineer

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We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.


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Required Candidate Profile :

  • 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
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What We're Looking For :

  • Strong practical Linux and cloud knowledge.
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  1. HR Screening
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Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

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Required Skills & Qualifications :

  • Bachelor's degree in Computer Science, IT, Electronics, or a related field.
  • 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
  • Strong expertise in AWS, with exposure to Azure/GCP.
  • Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
  • Strong scripting skills in Python and Bash.
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🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity


About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).


Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux


Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

  • Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
  • Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
  • Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

  • Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
  • Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
  • Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

  • Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
  • Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

  • Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
  • Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
  • Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
  • Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).


Required Qualifications & Skills :

  • Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
  • Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
  • Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
  • CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
  • Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
  • Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
  • Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
  • Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
  • Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.
Read more
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Mayank Choudhary
Posted by Mayank Choudhary
Gurugram, Hyderabad
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DevOps

Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

2

Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

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Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

4

Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5

Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6

Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7

Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8

Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9

Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10

Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11

Mandatory (Company): B2B SaaS product companies

12

Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13

Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14

Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability

Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
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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