DevOps Engineer Cloud - Freelance - lingarogroup

OpenTalent; Poland; On-site; PLN 300,000 - 420,000; Full time

Job summary

OpenTalent is seeking a senior Platform Engineer to design and evolve the M&O platform, emphasizing observability, data quality, and scalable cloud-based data pipelines.

You will drive reliability, proactive issue detection, and centralized dashboards using Grafana, Power BI, and Databricks, while implementing IaC and CI/CD. The role involves Azure services (AKS, Azure SQL Server) and FinOps practices.

Responsibilities

• Architect, build, and evolve the core M&O platform for observability and data quality.
• Ensure reliability, performance, and SRE-aligned design of critical applications and data infrastructure.
• Develop proactive issue detection and automated or semi-automated resolution for issues across operational and data systems.
• Implement data quality monitoring across pipelines (Timeliness, Consistency, Completeness, Accuracy, Validity, Uniqueness).
• Create centralized dashboards with Grafana, Power BI, Databricks for stakeholders.
• Automate infrastructure with IaC, CI/CD, and scripting (Python, Shell).
• Integrate Azure cloud technologies (AKS, Azure SQL Server, Databricks) into the platform.
• Optimize cloud resources and FinOps reporting to control costs.

Skills

Grafana

Power BI

Databricks

Python

Shell

CI/CD

IaC

AKS

Kafka

Azure

Azure SQL Server

Fivetran

FinOps

SRE

Tools

AKS

Kafka

Azure SQL Server

Databricks

Fivetran

Grafana

Power BI

Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

What You’ll Be Doing

Platform Design, Development & Evolution: Architect, build, and continuously evolve the core M&O platform and services, leveraging modern technologies and best practices to provide comprehensive observability and data quality functions.

Ensuring System Reliability & Performance: Actively maintain and enhance the stability, availability, and performance of critical applications and data infrastructure by integrating Site Reliability Engineering (SRE) principles directly into the platform's design and operation.

Proactive Issue Detection & Resolution: Develop and integrate intelligent systems within the platform to proactively identify, diagnose, and trigger automated or semi-automated resolution for technical issues, performance bottlenecks, and anomalies across all operational and data systems.

Advanced Data Quality Platform Implementation: Build and integrate capabilities within the M&O platform for continuously measuring, monitoring, and reporting on all critical data quality dimensions (Timeliness, Consistency, Completeness, Accuracy, Validity, Uniqueness) across diverse supply chain pipelines, including Warehousing, Transformation, SAP, Manufacturing, and other critical data sources.

Centralized Insights & Dashboarding: Develop and manage a unified dashboarding interface (e.g., Grafana, Power BI, Databricks) within the platform to visualize key performance indicators, system health, operational metrics, financial insights (FinOps), and granular data quality metrics for various stakeholders.

Automating Infrastructure & Operations: Drive the platform's automation capabilities through Infrastructure as Code (IaC), Continuous Integration/Continuous Delivery (CI/CD) pipelines, and extensive scripting (Python, Shell) for provisioning, deployment, and operational workflows.

Managing Core Data & Cloud Technologies: Integrate and optimize essential technologies like Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink into the M&O platform, ensuring seamless operation and data flow within the Azure cloud environment.

Optimizing Cloud Resources & Costs: Embed FinOps practices and reporting into the platform to monitor cloud resource utilization and spending, identifying opportunities for cost reduction and ensuring efficient allocation of infrastructure investments.