IT Operations Engineer

Your day-to-day focus:

Incident & Problem Management: Own the RCA process for production incidents — diagnose, resolve, and put preventive measures in place so issues don't recur

Production Monitoring & Support: Continuously monitor service health, detect anomalies early, and act before they become incidents

Deployment Execution: Design, implement, and maintain CI/CD pipelines using GitHub Actions and related tooling to automate build, test, security scanning, and deployment processes.

Environment Oversight: Keep Pre-Production and Production environments stable and aligned — not building them from scratch, but ensuring they behave as expected day to day

Runbook & Knowledge Management: Document operational procedures, known issues, and resolution steps to build a reliable knowledge base for the team

Cross-team Collaboration: Work shoulder-to-shoulder with development and platform teams to triage issues, clarify operational requirements, and close the feedback loop between prod and dev

Operational improvement:

Identify recurring pain points and propose automation or tooling to reduce toil

Improve observability coverage — dashboards, alerts, log queries — to catch issues faster

Contribute to service continuity initiatives and disaster recovery drills

Must-have knowledge and experience

5+ years in IT operations, application support (2nd/3rd line), or a similar production-facing role

Proven track record of owning incidents end-to-end — from alert to RCA to prevention

2+ years working within an ITIL framework (incident, problem, change management)

Experience working in Agile delivery environments alongside development teams

Excellent English communication skills — able to explain technical issues clearly to both engineers and non-technical stakeholders, C1

Must-Have Technical Skills:

Production operations & troubleshooting:

Proficiency with Jenkins to build and maintain pipelines to execute and troubleshoot deployments

Proficiency with CI/CD pipeline – introducing improvements and keeping the pipeline automated

Excellent troubleshooting and problem-solving skills with the ability to independently investigate complex production issues.

Proficiency with log analysis and alerting tools: Splunk, Sysdig

Fluency in observability tooling: Prometheus, Grafana — reading dashboards, tuning alerts

Comfortable operating services running on Kubernetes (checking pod health, reading logs, triggering restarts — not cluster administration)

Excellent skills with Ansible for applying configuration changes in controlled operational scenarios

Strong knowledge of Docker and Docker Compose

Basic scripting skills (Bash, Python) for automation of repetitive operational tasks and reconciliation of data

Nice-to-have knowledge and experience

Nice-to-have knowledge and experience:

IBM Datastage operational experience

Awareness or willing to learn Pega, Airflow

Application & data layer:

Relational databases (Oracle, DB2) — querying, interpreting execution plans, identifying data-related incidents

Working knowledge of ETL application behavior, Rest API communication

Experience supporting distributed systems and platform services such as Kafka message flow

Java/ development background for understanding the solution and integrations