At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth, we are now recruiting for a Senior Platform Engineer, to strengthen our team in Gothenburg.
Responsibilities
As a Data Platform Engineer within Engineering Data Hub, you will be at the forefront of designing and building a Platform to bolster the data and analytics capabilities of the organization.
Your responsibilities will include configuring and setting up cloud infrastructure, deploying and operating data-oriented applications on Kubernetes, and working closely with other teams and platform users to gather requirements and maintain seamless operations.
The team are in an early development phase, which means you will have the unique opportunity of contributing directly to the Platform's foundation. Your input will directly shape its trajectory, setting the stage for its future growth and success.
Some of the tech you will use:
- Languages: Python, Go
- Cloud infrastructure: Azure, Kubernetes
- DevOps: Terraform, Crossplane, GitHub Actions, Flux, Helm, Prometheus, Grafana, Vault
- PaaS: Databricks, Snowflake
Knowledge/Experience
We are looking for a proactive individual with a solution-oriented mindset, who is proficient in the following areas:
- Public cloud infrastructure (Azure, AWS, or equivalent).
- Implementation of scalable infrastructure through an Infrastructure as Code (IaC) approach.
- CI/CD with tools such as GitHub Actions, ArgoCD, etc.
- Deployment and operation of applications and services on Kubernetes.
- Experience in deploying Kubernetes as well as automating application deployments to Kubernetes or equivalent solutions.
- Design and implementation of internal developer platforms.
In addition, experience in any of the following is highly valued:
- Networking, security, and reliability in enterprise cloud solutions.
- Tools and technologies for working with Big Data, including event streaming (e.g. Kafka, MQTT), large-scale data processing (e.g. Apache Spark, Ray), and storage solutions for Big Data (e.g. Apache Iceberg, Delta Lake).
- User and device authentication, data and resource access control, and data privacy protection.
We believe you have minimum of 5 of experience in related fields, that you are familiar with Agile methods, and that you are fluent in English, both verbal and written. You are a person with a proactive approach, a problem solver, and a flexible team player.
If you are passionate about bringing innovation to the projects you work on then we would love to hear from you.
Tata Technologies: Engineering a better world.
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- Posted
- Nov 06, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Gothenburg
- Company
- Tata Technologies
Industries
Categories
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