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Location
Remote (Poland, CET hours)
Seniority
Staff · 6+ years exp
Employment
Contractor

First seen by Alion on Nov 3, 2026.

Overview
Company
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Profile match
Acaisoft is a Polish software house providing custom software development and cloud-native managed services for international clients. Operating since 2015, it supplies backend, platform, data and Kubernetes engineers to projects such as observability platform migrations and also has a US contact office in San Jose. The company is headquartered in Warsaw, Poland.

Team Lead of DevOps Team

Offer description

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.

Requirements description

  • 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.

Your responsibilities

  • Leading the deployment of the platform into the client's AWS non-production environment, and coordinating with the client's infrastructure, security and identity teams.

  • Building and maintaining Jenkins pipelines for build, image publishing and deployment. This includes dependency ordering, bootstrap and database migration steps, replacing the previous GitOps (ArgoCD) process.

  • Integrating platform services (Polaris, Airflow, JupyterHub, Grafana and others) with the client's corporate OIDC identity provider, and mapping directory groups to roles.

  • Configuring networking, TLS certificates, workload identities (IRSA), secrets management and KMS encryption.

  • Operating and tuning Flink, Spark and Airflow workloads on Kubernetes, and supporting ingestion from Kafka into Iceberg.

  • Setting up and maintaining observability: Prometheus, Thanos, Grafana dashboards, Loki logs, and alert routing via Alertmanager.

Recruitment stages

  1. Initial HR screening (~20 min): a short conversation about your experience, expectations and availability.

  2. Meeting with the Project Manager (~40 min): a discussion about the project, the team, ways of working and your role as Tech Lead.

  3. Technical verification (~50 min): a technical interview with our engineers covering Kubernetes, AWS, CI/CD, observability and platform architecture.

Tech stack

  • AWS
  • Python
  • Google Cloud Platform
  • Terraform
  • Kubernetes
  • Docker
  • Jenkins
  • Prometheus
  • Grafana
  • Kafka
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