Senior DataOps Engineer (AWS & Security Focused)

Mindera

9d • Remote

About The Position

Mindera is seeking a security-minded, growth-oriented Senior DataOps Engineer to lead automation, optimization, and security of its AWS data ecosystem. The role involves designing next-generation secure cloud data infrastructure and exploring AWS services and DevSecOps approaches to improve the data stack. It is a remote, full-time position within Engineering / Data Engineering, with a stated experience range of 6–12 years.

The engineer will build and maintain AWS-native data platforms, embed security controls throughout the data lifecycle, automate infrastructure and code deployments, oversee workflow orchestration and compliance monitoring, and research emerging AWS services and open-source data tools. Mindera describes a collaborative, self-organizing culture in which teams jointly own projects and colleagues are encouraged to learn, communicate, take risks, and make decisions.

Requirements

• At least 6 years of professional experience in DataOps, DevOps, or Data Engineering, including a minimum of 4 years dedicated to AWS.
• Hands-on expertise with AWS compute and infrastructure services and tools, including EC2, EKS, ECS, Lambda, and Terraform.
• Expertise with AWS data and analytics services, including EMR, Glue, Athena, Redshift, S3, and Kinesis.
• Proficiency securing cloud environments using AWS IAM, KMS, VPC networking, PrivateLink, Security Groups, Secrets Manager, GuardDuty, and CloudTrail.
• Experience building secure automated CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline, along with Docker and Kubernetes.
• Proficiency with orchestration engines such as Apache Airflow/MWAA and Step Functions, and modern data tools such as dbt.
• Advanced Python and SQL programming skills and a solid understanding of securing relational and NoSQL databases.
• A security-first approach that incorporates risk management and data privacy into code and infrastructure design.
• Curiosity and an interest in researching AWS materials, learning new tools, and experimenting with proof-of-concepts.
• Ability to debug ambiguous system failures, tune performance for large datasets, and solve unconventional cloud architecture problems.

Responsibilities

• Design, deploy, and maintain highly available and scalable data platforms using AWS-native services.
• Embed security guardrails into the data lifecycle, including encryption, data masking, network security, and secure access controls.
• Build and manage automated pipelines for data infrastructure and code deployments using infrastructure as code.
• Oversee data workflow orchestration and implement real-time security monitoring, logging, and automated compliance auditing.
• Research, prototype, and implement emerging AWS services and open-source data tools to address infrastructure bottlenecks.

Benefits

• Flexible, self-managed working hours.
• Annual bonus, subject to company performance.
• Access to Udemy online training and opportunities to learn and grow within the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed