Team Lead of DevOps Team
Summary
Hands-on DevOps Team Lead at Acaisoft delivering a cloud-native data lakehouse platform (AWS, Kubernetes, Flink, Spark, Airflow, Kafka, Iceberg) for a global financial services client. You own the infrastructure end-to-end, lead and guide the team, and communicate directly with client stakeholders, remote from Warsaw with occasional evening calls.
We’re looking for a DevOps Tech Lead to join a project building a cloud-native data lakehouse platform for a global financial services company.
This is a hands-on leadership role where you’ll own platform infrastructure end-to-end, work closely with client stakeholders, and provide technical guidance to the team.
The platform is built on AWS, Kubernetes, Apache Flink, Spark, Airflow, JupyterHub, and Apache Iceberg. The current phase focuses on deploying and adapting the solution to the client’s AWS environment, integrating with their IaC standards, CI/CD pipelines, identity management, networking, and security controls.
The goal is to deliver an MVP capable of processing high-volume Kafka event streams, supporting tenant workloads, enabling data analysis, and providing full monitoring and alerting.
Working hours: Core working hours align with the Polish time zone. Due to collaboration with global teams, including the US, occasional meetings may take place between 17:00–21:00 CET/CEST. Flexibility to join key project and stakeholder meetings is expected.
⚠️ Successful completion of the client's background screening process is required before joining the project. This may include identity, employment history, and criminal record verification.
- 6+ years of experience in DevOps/Platform Engineering, including hands-on experience as a Tech Lead, Team Lead, or technical point of contact for a client.
- Strong ownership and leadership skills - able to drive technical decisions, plan work proactively, and coordinate tasks across the team and with the client.
- Expert-level knowledge of Kubernetes and AWS (EKS, networking, IAM/IRSA, S3, KMS) in production environments.
- Strong hands-on experience with Terraform and/or AWS CDK, Helm, and CI/CD (Jenkins preferred), as well as cloud security and observability.
- Experience with data-intensive platforms, including technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Confidence in direct client communication, including presenting technical solutions, discussing risks and dependencies, and coordinating delivery against milestones.