Lead DevOps Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Aker Systems, founded in 2017 by experienced technology professionals, specializes in providing highly secure enterprise data platforms. We build and operate ground-breaking, ultra-secure, high-performance, cloud-based data infrastructure for large organizations. Our proprietary technology solutions enhance performance, reduce costs, and improve data management and sharing. Aker Systems has been recognized for its culture and growth, receiving the Breakthrough Culture Awards in 2024 and being named a ‘One to Watch’ on the Sunday Times Tech Track in 2020. We were also awarded Thames Valley Tech Company of the Year, Emerging Tech Company, and High Growth Tech Business at the Thames Valley Tech Awards 2020. We are committed to fostering an inclusive and supportive environment and encourage applications from all backgrounds and identities.

Note: A UK Government Security Check (SC) clearance is required for this role. If you do not hold SC clearance, Aker Systems will support your application, provided you have resided and worked in the UK for a minimum of 5 years.

Requirements

• AWS MSK: Deep knowledge of AWS Managed Streaming for Apache Kafka (MSK) for Kafka-based data streaming.
• Kubernetes: Expertise in Kubernetes for container orchestration.
• Kafka Security: Experience with Kafka security, including SSL encryption, IAM roles, VPC networking, and authentication mechanisms.
• AWS Services: Experience with AWS services such as Lambda, S3, and Elastic Search.
• CI/CD: Experience with CI/CD pipelines, for example, Drone.
• Infrastructure-as-Code: Experience with Infrastructure-as-Code tools, for example, Terraform.

Responsibilities

• AWS MSK Management:
  • Design, deploy, and manage AWS MSK clusters.
  • Optimize MSK configurations for low-latency, high-throughput streaming, ensuring high availability.
  • Implement Kafka security using SSL encryption, IAM roles, VPC networking, and authentication mechanisms.
  • Automate the creation, monitoring, scaling, and maintenance of Kafka topics, producers, and consumers.
  • Integrate MSK with other AWS services (e.g., Lambda, S3, Elastic Search).
  • Implement best practices for data replication and fault tolerance in MSK environments.
  • Troubleshoot deployment issues.
• Kubernetes Management:
  • Deploy, monitor, and scale Kubernetes-based applications across AWS.
  • Ensure service discovery, load balancing, auto-scaling, and failover for applications running in Kubernetes.
  • Manage Kubernetes networking, including VPC integration and ingress configurations.
  • Automate the deployment of containerized Kafka clients, stream processing applications, and monitoring tools on Kubernetes.
• Automation & Monitoring:
  • Implement CI/CD pipelines for microservices and Kafka-related applications using tools like Drone.
  • Automate infrastructure provisioning using Terraform or other Infrastructure-as-Code tools.
  • Build and maintain monitoring systems.