DevSecOps Cloud Data Security Engineer

  • Anywhere
  • Anywhere


Are you looking for a move from senior big data or senior application security?

We are looking for Security Engineers who are ready to address security issues across one of largest Integrated Energy Companies in the world.

We are looking for a senior DevSecOps Cloud Data Security Engineer with a strong background in AWS or Azure who is used to designing, engineering, and deploying security across cloud big data or data analytics platform services.
You must have strong security experience in big data management solutioning coupled with demonstrated hands-on programming and supporting solutions development experience.

What You’ll Be Doing

Have direct responsibility to design, engineer and deploy security features and processes responding to data platform development demands.
Work in a multifaceted and fast paced environment built around agile and continuous improvement delivering features based on continuous integration / continuous deployment.
As a senior role, you may have some people management responsibilities for staff or supplier security engineers.

Who are we looking for?

Excellent cloud / data lake / data platform knowledge.
Experience working in digital security across cloud platforms with a specific emphasis on working across big data / data analytics platforms.
Strong demonstrated ‘hands on’ technical proficiency.
Experience working across the information lifecycle.
A good understanding and application of technology to support the regulatory environment for information management – particularly related to personal and high value data.

Technical competencies

A range of core technical proficiency / knowledge across the following domains:

Azure DevOps Lambda or Kappa Programming: Java / C# Python PowerShell / Bash AWS ETL tools (Amazon Glue) Logging capabilities (CloudTrail, CloudWatch) Programming hosts (Lambda, EC2, EKS) Data (EMR, Redshift, DynamoDB, RDS, S3, Athena, Lake Formation) Messaging (Kafka, SNS, SQS) CloudFormation IAM and / or Azure ETL tools (Azure Data Factory) Logging capabilities (Log Analytics, App insights) Programming hosts (Azure Functions, Azure Batch, AKS, VMSS) Data (Data Bricks, Synapse, SQLDB, ADX, Cosmos DB, ADLS) Messaging (Event Hub, Event Grid, Service Bus, Azure Queues) AAD

Proficiency / knowledge across some of the following domains would also be preferable: AWS Data Bricks Amazon Sagemaker Azure ML Scala SCRUM Microsoft / AWS Certified Multicloud ServiceNow CISSP, CCSP, CIPT Stream Processing (Kinesis, Stream Analytics, Spark Structured Streaming).

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