SE I DevOps Engineer
Pune, MH, India23h ago
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Key details
- Location
- Pune, MH, India
- Work style
- Onsite
- Function
- DevOps / Infrastructure
- Focus area
- Infrastructure / Cloud
- Posted
- 23h ago
Skills
ansibleawsbig datacapacity planningcloud computingcontainerizationdockergcphadoopkafkakubernetesnetwork protocolsnetworkingnosqlrabbitmqsecurity architectureterraformubuntuunix
About the role
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)