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SE I DevOps Engineer

Keywords Studios · Pune, Maharashtra, India · Hybrid

Weak hiring record · median 113 days open

3535

Hiring signal

Stale

Open 132 days · How we score

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  • Open 132 days
  • 58% of this employer's openings are over 60 days old

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SE I DevOps Engineer at Keywords Studios. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

About the Team

DevOps team is at the core of Helpshift engineering. We have a centralised DevOps team in Helpshift and that essentially means we have our technical depth both horizontally and vertically. We’re responsible for creating, maintaining, scaling and securing infrastructure used by many teams for critical workloads.

DevOps team work in following areas

  • Production & Development Infrastructure Provisioning and Maintenance
  • Database Infrastructure
  • Automations
  • Core Infrastructure (Scalability, Performance & Optimisation)
  • Security & Compliance
  • Engineering Processes

You’ll be in a team that maintains, builds and scale infrastructure that will host the production workload as well as support internal engineering teams. You’ll make decisions with a significant impact on Helpshift.

Requirements

Requirements

  • Relevant experience of 3+ years and above.
  • In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu).
  • Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.
  • Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.
  • Experience in Designing and building solutions that are highly scalable, fault tolerant and cost-effective
  • Experience of various FOSS tools for monitoring, graphing, capacity planning, and logging.
  • Experience with IaaC tools like Ansible, Puppet, Terraform.
  • Experience with Cloud Computing platforms like Amazon AWS, Google Cloud Platform, Heroku.
  • Experience with managing NoSQL and RDBMS
  • Experience with queuing systems (Kafka, RabbitMQ) and Big data platforms (Hadoop)

Skills

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