As a cloud engineer the candidate will contribute towards Product Development & Engineering of Self-Service Infrastructure tooling in the cloud for Big-Data and Analytics. The created infra will offer flexible and secure data ingestion, streaming, transformation, analytics and data lake storage paired with self-service compute & ML workspaces so that In-house data teams can spin-up services and create pipelines as per their business requirements. What we do? - We build solutions that touches and defines the experience of more than 8 million Mercedes-Benz customers. - We invest in building resilient and scalable solutions in the cloud using best development practices and state of the art cloud platforms. - We endorse to “In God we trust; all others must bring data.” – W Edwards Deming - We believe if you build the best product then you don't have to worry about waking up in the middle of the night to address an incident! - We collaborate with colleagues from various delivery hubs of Daimler to deliver cutting edge in car experience for our customers. - We own end-to-end delivery responsibilities and promote/adopt "You build it you run it" culture. - We love polyglot programming and always choose the right technology and language to fit the need. Technical Skills: - Rich experience with production-level development and operations on AWS or Azure Cloud. - Experienced with Automation, configuration and provisioning infrastructure-as-code using Pulumi, Terraform, ARM in a controlled environment. - Experienced in coding with Python, Bash, and/or Golang. - Proficiency with CI/CD on deployment, management, and monitoring of applications. - Proficiency in building a Scalable Data Platform for Big Data Use cases across Enterprise using Cloud technologies from Large providers, PaaS, Open source solutions - Expertise in data pipeline orchestration tools like Azure Data Factory,Amazon data Pipeline, Apache Spark/ Hadoop, Databricks - Experience on stream-processing systems: Kafka, Apache Storm, Spark-Streaming, Apache Flink, etc. - Handling requirements of managed services, IAM, auto-scaling, High availability, elasticity, networking options - Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions. - Experience in working under Agile scrum Methodologies. Behavioral Skills: - Bias towards action/proactivity, shows initiative - Big picture thinking and understanding the business needs - As expected in Cloud space, curiosity learn and experiment new tech stacks - Assertive communication & listening skills through various forums Roles & Responsibilities: Following are the areas of work but not limited to: - Designing, Building, Configuring, deploying, managing and automating next generation cloud infrastructure tools for interesting Automotive Big Data use cases ( Autonomous, Connected, Vehicle Diagnostics & many more) - Building & operating Data Infrastructure for Data Driven Development, Data Driven operations and Monetization use cases across domain - Interactively work with Data Engineering teams across locations(US,Germany,China etc.) to understand the requirements and build customised immutable self-service , secure and innovative infrastructure. - Building shared access controls to support multi-tenancy and self-service tooling for customers. - Federating access to cloud computing resource (or set of resources) based on a user's role within the organization. - Manage catalogue per topic or team based on services offered. - Research, investigate and implement newer technologies to continually evolve security capabilities. - Ensure successful delivery of application traffic across the cloud infrastructure.
Masters or Bachelor’s degree in computer science or relevant stream. Any proficient certification related to job are preferred.