Company
Technology
SRE-ObservabilityExpert
Neural analysis suggests this role is
optimal for Mid candidates.
“SRE - Observability Expert. Skills: Observability, Infrastructure-as-code, Kubernetes, Data pipelines. Develop infrastructure-as-code. Maintain infrastructure-as-code”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
4-6 years production experience, AWS or Azure Cloud experience
Nice to Have
Experience architecting storage strategy, Experience with Kstreams App/KSQL/Processor Libraries, Experience with managed connectors, Experience with Event Hubs, Experience with kafka topics, Experience with ADLS2, Experience with REST APIs, Experience with Airflow, Experience with Druid, Experience with Kafka (open source), Experience with OpenSearch, Experience with Superset, Experience with Python scripting, Experience with FastAPI, Experience with managed services, Experience with IAM, Experience with auto-scaling, Experience with High availability, Experience with elasticity, Experience with networking options, Experience with federated access, Experience with Git, Experience with DevSecOps practices, Experience with Datadog
What You'll Do.
Develop infrastructure-as-code
Maintain infrastructure-as-code
Deploy Kubernetes clusters
Manage Databricks environments
Orchestrate data pipelines
Architect storage strategy
Set-up open-source stack
Manage open-source stack
Script for automation
Script for integration
Handle managed services
Handle high availability
Handle networking options
Handle federated access
Manage access controls
Research new technologies
Investigate new technologies
Evolve data platform capabilities
How You'll Work.
Team & Collaboration
Agile scrum Methodologies
Process & Methodology
Agile, Scrum
Full Job Description
Data Infrastructure & Operations 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 Job description · Looking for 4-6 years of hand-ons experience with production-level development and operations on AWS or Azure Cloud · Develop and maintain infrastructure-as-code using Terraform to deploy and manage Kubernetes clusters (AKS) and Databricks environments · Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Amazon data Pipeline, Apache Spark, Databricks · Hands-on experience with one or more of stream & batch processing systems: Kafka (Confluent cloud, open source), Apache Storm, Spark-Streaming, Apache Flink, Kappa architecture · Experience in architecting right storage strategy for use-cases, keeping data processing, data accessibility, data availability and cloud cost considerations · Proficiency in Data transformation using Kstreams App/KSQL/Processor Libraries · Data ingestion and data distribution integration experience using managed connectors such as Event Hubs, kafka topics, ADLS2, REST APIs · Proficiency to set-up & manage open-source stack, including Airflow, Druid, Kafka (open source) OpenSearch, and Superset · Proficiency in Python scripting for automation and integration tasks · Utilize FastAPI for building and deploying high-performance APIs · Handling requirements of managed services, IAM, auto-scaling, High availability, elasticity, networking options · Handle federated access to cloud computing resource (or set of resources) based on a user's role within the organization · Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions · Proficiency in DevSecOps practices throu
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