Senior Data Analyst

Daftcode is a technology group driven by an analytical approach to business. As a venture builder, it creates, scales and invests in startups in such areas as: Deep Tech, FinTech, InsurTech, Cyber Security and Blockchain, among others. The company offers its startups tech and business support, which facilitates market launch and growth of new companies. Daftcode works with individual startup founders, early-stage projects and existing startups looking for financing rounds or support in commercialization and business scaling.

You will join an experienced DevOps Team working as a shared service for an ecosystem of modern financial services startups.
This is a B2B opportunity. We provide a range between 18 000 - 24 000 PLN on the monthly invoice. 

What you will do:

• Ensuring the continuous operation of mission-critical systems in the financial sector, with a strong focus on reliability and high availability.

• Scaling and evolving the existing infrastructure to seamlessly handle growing traffic and new business requirements.

• Enhancing monitoring systems and implementing proactive mechanisms for rapid detection and incident resolution.

• Co-creating and refining the on-call management process, while actively participating in on-call rotations after 6 months of cooperation.

• Participating in on-call duties, which are additionally compensated.

• Collaborating with development teams to architect and implement solutions that optimize our overall ecosystem.
  

What we are looking for:

• At least 3 years of experience in a DevOps, SRE, or closely related role.

• Proven track record of maintaining and scaling critical, high-availability systems.

• In-depth knowledge and hands-on production experience with Kubernetes.

• Experience working with public clouds (AWS, Azure, or GCP) and troubleshooting complex cloud-computing issues.

• Practical knowledge of CI/CD solutions with the ability to design, build, and optimize pipelines.

• Strong familiarity with Infrastructure as Code (IaC) tools.

• Solid understanding of monitoring and observability tools.

• Experience with data processing, ETL/ELT pipelines, and data warehouse architecture.

• Professional proficiency in English (minimum B2), enabling smooth and effective daily communication.

• A strong sense of ownership over infrastructure decisions and their production impact.
  

Nice to have:

• Hands-on knowledge of the LGTM stack (Loki, Grafana, Tempo, Mimir).

• Practical, day-to-day experience with Terraform.

• Experience in configuring, deploying, and managing ArgoCD.

• Expertise in GitLab CI/CD and advanced pipeline optimization.

• Experience with data engineering tools and distributed data platforms such as Apache Spark, Airflow, or similar technologies.

• Deep experience with AWS and its core services (EKS, RDS, networking, etc.).

• A genuine passion for exploring new technologies and a continuous drive to implement industry best practices in real-world scenarios.