DevOps Engineer Cloud - Freelance - Lingaro

OpenTalent; Poland; On-site; PLN 200,000 - 360,000; Full time

Job summary

OpenTalent seeks a senior Platform Engineer to design and evolve a scalable M&O platform. You will implement observability, reliability, and data quality across complex supply chains while integrating modern cloud services and automation.

Lead the development of centralized dashboards and incident-resilient operations, leveraging Grafana, Databricks, and Azure technologies. This role emphasizes cost-aware infrastructure and proactive issue detection.

Qualifications

• Proven experience designing and evolving data platforms with observability at the core.
• Strong background in reliability, performance, and incident response.
• Deep hands-on knowledge of data quality dimensions and data pipelines.

Responsibilities

• Architect and evolve the core M&O platform using modern tech and best practices.
• Embed SRE principles to improve stability and performance of critical apps and data infra.
• Develop intelligent systems to detect issues and trigger automated resolutions across systems.
• Build data quality capabilities to measure timeliness, accuracy, completeness, and validity across pipelines.
• Create centralized dashboards (Grafana/Power BI/Databricks) for health, KPIs, and FinOps insights.
• Automate infrastructure via IaC, CI/CD, and scripting (Python, Shell).
• Integrate Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink in Azure cloud.
• Monitor and optimize cloud resources and costs with FinOps practices.

Skills

Python

CI/CD

IaC

SRE

Monitoring

Data quality

Problem solving

Tools

Grafana

Power BI

Databricks

Fivetran

AKS

Kafka

Azure SQL Server

Flink

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.