Application Senior Support Engineer (DevOps & Data Platforms)

Join an AI-first engineering team where you'll bridge the gap between development and operations, ensuring the reliability, performance, and scalability of business-critical applications and data platforms.

You'll work across modern cloud environments, data pipelines, observability platforms, and DevOps tooling, leveraging AI-powered operations to improve incident resolution and system reliability.

What You'll Work With

✅ Azure Cloud & Azure DevOps

✅ Databricks & Data Platforms

✅ PySpark & Data Pipelines

✅ Dynatrace & Observability Solutions

✅ Docker & Kubernetes (AKS)

✅ Terraform & Infrastructure as Code

✅ AI-Powered Operations & Automation

Key Responsibilities

• Provide L2/L3 production support for applications, APIs and data platforms
• Investigate and resolve complex production incidents through structured Root Cause Analysis
• Monitor and improve platform reliability using Dynatrace and observability tools
• Support and optimize ETL/ELT and data processing workflows
• Maintain and improve CI/CD pipelines and deployment automation
• Collaborate with engineering, platform and data teams to ensure operational excellence
• Develop automation solutions that reduce manual operational effort

What We're Looking For

• Strong experience in Production Support and Incident Management
• Hands-on experience with PySpark, ETL processes, and data platforms
• Good understanding of Azure, Azure DevOps, and CI/CD practices
• Experience with Docker, Kubernetes (AKS) and Infrastructure as Code
• Strong troubleshooting and Root Cause Analysis skills
• Experience with monitoring and observability tools such as Dynatrace

Nice to Have

• Palantir Foundry
• Monte Carlo Data
• Data Observability & Lineage
• Snowflake
• StoneBranch or Airflow
• Investment Management / Financial Services experience

Work Model

📍 Remote | Bucharest

Ref: VR-123002