Senior DevOps Engineer (Data Platform) - (L021)

Senior DevOps Engineer (Data Platform) - (L021)

13 Nov
Velotio Technologies
Pune Division

13 Nov

Velotio Technologies

Pune Division

Job Description

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We have provided core product development for 110 startups across the globe building products in the cloud-native, data engineering, B2B SaaS & Machine Learning space. Our team of 175 elite software & DevOps engineers solve hard technical problems while transforming customer ideas into successful products

As part of the Cloud Data Platform team, your focus is to operate and support Kafka and other infrastructure (Spark, Flink, Glue, Airflow, Redshift etc.) with best practices and surrounding tooling. Youll be joining a team that is responsible for building a truly global,

self-service platform to enable the growing number of engineering teams to build, test, deploy, and manage the complete operational life cycle of their services in a fully autonomous fashion.

Roles & Responsibilities: You will help drive technical decision-making, particularly with regard to operations and the architectural direction of the platform.

As an expert in your area, you will help set the tone for how your team operates. Youll emphasize modern, rigorous software development practices that emphasize testability, repeatability, and self-service automation. Youll conduct code reviews and mentor more junior developers. Youll openly collaborate with other teams leads and help raise the bar of engineering excellence across the entire organization

Your role will focus on the development of the common platform services.

Youll solve problems related to complex cloud-infrastructure automation, multi-region networking, global message buses and other common services across many AWS accounts.

Youll architect platform APIs for other teams to build on top of, youll develop Kubernetes operators, youll design processes/workflows, and youll help to do it all in a collaborative, team environment using modern, rigorous software development practices that emphasize testability, repeatability, and self-service automation.

Desired Skills & Experience: 4 years experience in a Cloud, DevOps, SRE and/or software engineering role.

Experience leading the development of large-scale projects, e.g. breaking down tasks, delegating work, assisting in the creation of roadmaps and work back plans

Deep expertise in operating atleast one data platform at scale - Kafka, Big Table, Spark, Redshift, EMR etc.

Experience with any one of the programming languages - Golang, Java, Scala, Python, Ruby etc.

Deep understanding of distributed systems in Kubernetes

Hands-on experience with multiple IaC tools (e.g. AWS CDK, Terraform, Crossplane, AWS CF)

Experience with the development and operation of high throughput, low-latency systems

Hands-on experience with automating development workflow pipelines (CI/CD)

Operational experience (i.e. on-call rotation, incident response)

Ability to collaborate effectively with remote peers across disparate geographies and time-zones

Excellent written and verbal communication skills with particular emphasis on technical documentation (including diagramming)

Strong CS fundamentals.

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