As we continue to enhance and scale our platform, we are looking for a motivated DevOps Engineer specializing in Data Technologies to collaborate with our Data Teams. The ideal candidate will have strong hands-on expertise in managing and optimising data infrastructure, ensuring scalability, reliability, and performance across all our products.

This role requires initiative, resourcefulness, and autonomy. The DevOps Engineer should be able to design and deliver end-to-end solutions, diagnose and resolve issues efficiently, and drive a culture of continuous improvement. Additionally, strong communication skills are essential to collaborate with interdisciplinary stakeholders effectively. 

Success in this role also requires proactiveness, adaptability, and the ability to learn quickly when working with complex component integrations. The ideal candidate should be comfortable managing competing priorities, thinking critically, and applying creative problem-solving skills.

A solid understanding of data science concepts, processes, tools, and infrastructure is essential, along with hands-on experience in AWS.

Key Responsibilities:

• Design, implement, and manage data infrastructure for scalable and high-performance data pipelines.

• Ownership of the CI/CD pipeline ensuring a stable and performant platform / process.

• Work closely with Data Engineers and Data Scientists to streamline workflows and CI/CD for data products.

• Implement security best practices for data storage, access, and compliance.

• Continuously improve processes and documentation.

• Effective resolution of assigned tickets and tasks.

• Documentation and Knowledge sharing.

Technical skills required:

• Data environments experience (Airflow, EMR, SageMaker, Ray, Tensorflow, MLflow, Kubeflow, Dask, Flink, Flask, Kserver)

• Exposure working with data lakes, data warehouse solutions (Snowflake, BigQuery, Redshift)

• Exposure to PostgreSQL, DynamoDB, Kafka, Kafka Streams and Kafka Connect.

• Experience with Openstack, Azure/GCP and AWS. (S3, Lambda, SageMaker, ECS, EKS, EC2, Step functions)

• Ability to write code to automate repeatable processes (Ansible, Python, Bash).

• Experience in using containers and orchestration to dockerize existing applications.

• Experience with docker clustering frameworks like Kubernetes, Docker Swarm.

• Experience in building and maintaining existing pipelines and its components, including, but not limited to, Jenkins, Gitlab, Argocd, SonarQube, Artifactory, Vault.

• Maintain configurations and deployments of software that operates within a highly scalable distributed multi-tenanted environment.

• Understanding of Source Control Management systems like GIT.

• Experience with provisioning tools to treat infrastructure as code, like Terraform.

• Experience with monitoring and APM tools like Prometheus, Kibana, Grafana, Cloudwatch, Loki, OpenTelemetry, Splunk, Elastic.

Working conditions:

• Occasional out of hour's conferencing with overseas colleagues.

• Occasional out of hours or weekend work.

• A workplace that supports & role models Diversity & Inclusion. This is a huge part of who we are and what Kindred stands for.

• Learning & Development to assist you to achieve your career goals.

• Fast-paced agile environment, with leading-edge technology and innovation.

• Work in a collaborative environment with highly talented and motivated colleagues that are passionate about knowledge sharing.

Functional Skills:

• Ability to cope up with competing demands and remain focused on competing priorities.

• Excellent interpersonal skills and ability to communicate with impact.

• Excellent time management and organisational skills.

• Can relate to employees at all levels of the organisation.

• Ability to gain co-operation and commitment.

• People focus