Production Support Engineer - DevOps

We are looking for a DevOps Production Support Engineer (AWS) to support and operate solutions within a regulated banking environment. The role focuses on ensuring high availability, resilience, compliance, and risk management of systems that support critical banking services.

Responsibilities:

• Provide L2/L3 production support for systems and data pipelines used in banking systems.
• Ensure stability and uptime of platforms supporting customer-facing and regulatory workloads.
• Perform incident management, root cause analysis (RCA), and problem management in line with ITIL practices.
• Collaborate with Engineering, Risk, and Compliance teams.
• Support secure deployment, release, and rollback processes in production.
• Implement monitoring, alerting, and audit logging to meet regulatory and audit requirements.
• Ensure adherence to data privacy, governance, and financial regulatory standards (e. g., GDPR).
• Support disaster recovery (DR) and business continuity (BCP) plans.
• Identify opportunities for automation, operational efficiency, and cost optimization.

Requirements:

• Experience in production support / SRE / platform engineering, preferably in banking or financial services.
• Experience with AWS cloud services, including AWS SageMaker, EC2 EKS, Lambda, S3 and AuroraDB.
• Proficiency in Python and scripting for debugging and automation.
• Hands-on experience with Docker, Kubernetes, and microservices architectures.
• Experience with monitoring and observability tools such as AWS CloudWatch, CloudTrail, Grafana, and Splunk.
• Experience with data integration and processing technologies such as Kafka and AWS Glue.
• Experience working with REST APIs.
• Experience with incident management tools (e. g., ServiceNow).
• Familiarity with security standards and identity and access management (IAM).
• Willingness to work in a production support role.

Nice to have:

• Knowledge of secure DevOps (DevSecOps) practices.
• Relevant AWS certifications.

Technology stack:

• Cloud and AI Platforms (AWS): AWS SageMaker, EC2 EKS (Elastic Kubernetes Service), Lambda, S3 Aurora DB.
• Monitoring and Observability: AWS CloudWatch / CloudTrail, Grafana, Splunk.
• Data and Integration: Kafka, AWS Glue, REST APIs.