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Senior Devops Engineer
Senior Devops Engineer
Acceldata's logo

Senior Devops Engineer

Richa  Kukar's profile picture
Posted by Richa Kukar
3 - 10 yrs
₹15L - ₹50L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
skill iconDocker
skill iconKubernetes
DevOps
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)

Job Description :

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

Roles & responsibilities:

  • Champion engineering and operational excellence.
  • Establish a solid infrastructure framework and excellent development and deployment processes.
  • Provide technical guidance to both your team members and your peers from the development team.
  • Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
  • Be part of and help create a positive work environment based on accountability.
  • Communicate across functions and drive engineering initiatives.
  • Initiate cross team collaboration with product development teams to develop high quality, polished products and services.

Must haves:

  • 5+ years of professional experience developing, and launching software products on Cloud.
  • Basic understanding Java/Go Programming
  • Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
  • Deep understanding of AWS or Any Cloud.
  • Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
  • Good Understanding of Operating systems
  • Strong technical background with track record of individual technical accomplishments
  • Ability to handle multiple competing priorities in a fast paced environment
  • Ability to establish credibility with smart engineers quickly.
  • Most importantly, ability to learn and urge to learn new things.
  • B.Tech/M.Tech in Computer Science or a related technical field.

Good to Have:

  • Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
  • Proficient in scripting, and Git and Git workflows
  • Experience in developing Continuous Integration/ Continuous Delivery pipelines
  • Knowledge of Big Data systems.
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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 Acceldata

Founded :
2018
Type :
Product
Size :
100-500
Stage :
Raised funding

About

Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.


The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.

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Richa Kukar
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Abhishek Bharadawaj
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Abhishek N
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Swapna Chanamala
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Akash Sampat

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