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Senior DevOps Engineer
Senior DevOps Engineer

Senior DevOps Engineer at Internshala · Gurugram · 3 - 5 years · ₹15L - ₹18L / yr · Bootstrapped · Posted 28 Feb 2023

Internshala's logo

Senior DevOps Engineer

Sarvari Juneja's profile picture
Posted by Sarvari Juneja
3 - 5 yrs
₹15L - ₹18L / yr
Gurugram
Skills
skill iconDocker
skill iconKubernetes
DevOps
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

  • Building and maintaining operational tools for monitoring and analysis of AWS infrastructure and systems
  • Actively monitoring the health and performance of all systems and performing benchmarking and tuning of system applications and operating systems
  • Setting up container orchestration using Kubernetes or other orchestration system for a monolithic application
  • Continually working with development engineers to design the best system architectures and solutions
  • Troubleshooting and resolving issues in our development, test, and production environments
  • Maintaining reliability of the system and being on-call for mission-critical systems
  • Performing infrastructure cost analysis and optimization
  • Ensure systems’ compliance with operational risk standards (e.g. network, firewall, OS, logging, monitoring, availability, resiliency)
  • Building, mentoring and leading a team of young professionals, if the need arises

🍒 You will get-

  • A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
  • Awesome colleagues & a great work environment
  • Loads of autonomy and freedom in your work

💯 You fit the bill if-

  • You are proficient with bash, git and git workflows
  • You have 3-5 years of experience as a DevOps Engineer or similar software engineering role
  • You have excellent attention to detail
  • AWS certification preferred but not mandatory


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About Internshala

Founded :
2010
Type :
Products & Services
Size :
100-1000
Stage :
Bootstrapped

About

Internshala is six years old and on its way to solving a problem that is at least 50 years old - the problem of meaningful internships. Millions of students, just like you, struggle to find an internship every year - we are changing that.

 

Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake the claim on your place in the world. At Internshala, we are making this dream a reality. Join us!

 

Wondering what it is like to work at Internshala? Catch a glimpse of Internshala work culture at https://internshala.com/culture

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Connect with the team

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Gayatri Mudgil
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Shobha Saini
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Ankita Gupta
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Aditya Sood
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Sarvari Juneja

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 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 


What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 


What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 


Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 


Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

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Mandatory Skills :

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  • Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
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  • Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
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  • 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.


Preferred Skills :

  • Experience with multi-cloud environments and DevSecOps practices.
  • Knowledge of disaster recovery, automation, and microservices architecture.
  • Strong troubleshooting, communication, and problem-solving skills.
Read more
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  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
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Read more
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We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.


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• Design, implement, and optimize CI/CD pipelines and deployment processes.

• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.

• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.

• Manage Docker and Kubernetes based environments.

• Develop and maintain automation scripts using Shell/Bash Scripting and Python.

• Implement monitoring, logging, alerting, and observability.

• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.

• Drive infrastructure security, performance, scalability, and cloud cost optimization.

• Collaborate with Development, QA, Security, Architecture, and Delivery teams.


Required Skills & Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.

• Strong hands-on experience in Shell / Bash Scripting.

• Experience with AWS / Azure / GCP cloud platforms.

• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Hands-on experience with Docker, Kubernetes, and Helm.

• Strong experience with Terraform and Ansible.

• Experience with Linux administration, Git, networking, IAM, and cloud security.

• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.

• Strong troubleshooting, communication, stakeholder management, and team leadership skills.


Preferred Skills (Nice to Have)

• Python scripting experience.

• Cloud / Kubernetes / Terraform certifications.

• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.

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Shubham Vishwakarma

Full Stack Developer - Averlon
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