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Bengaluru, Karnataka, India
Hybrid
Site Reliability Engineer (SRE)
Ocean & Enablement Platform (O&E) – SRE Team
Role Overview
Join an exciting and cross-edge team shaping the future of container technology at Maersk. The O&E SRE Team ensures reliability, performance, and automation excellence across the Ocean &Enablement Platform.
As a Site Reliability Engineer, you will collaborate closely with O&E platform teams to enhance system resilience, optimize cost and performance, and enable zero-touch operations through automation.
You will gain hands-on experience in cloud technologies, incident management, and Python-based automation — while exploring AIOps and AI-driven automation to contribute to the reliability goals that power the Ocean & Enablement Platform ecosystem.
Key Responsibilities
Support and improve reliability, availability, and performance across O&E applications and shared services.
Participate in on-call rotations, handle incidents, perform RCA, and implement corrective actions.
Develop and maintain automation tools and scripts using Python, Ansible, or shell scripting to reduce manual toil.
Deploy, monitor, and manage workloads on AWS / Azure / GCP, ensuring cost-efficient and reliable operations.
Configure and enhance observability (Prometheus, Grafana, ELK) for proactive detection and fast recovery.
Support SRE principles by defining SLIs, SLOs, and error budgets for O&E services.
Explore AIOps and AI-driven automation to reduce alert noise, accelerate triage, and enable intelligent remediation.
Collaborate with product, infra, and observability teams to improve reliability and incident response.
Maintain runbooks, SOPs, and automation playbooks for operational readiness.
Required Skills & Experience
Bachelor’s degree in Computer Science, Engineering, or related field.
3–5 years of experience in SRE, DevOps, or Cloud Infrastructure roles.
Strong programming skills in Python for automation and scripting.
Familiarity with AWS, Azure, or GCP cloud environments.
Working knowledge of Docker, Kubernetes, and Infrastructure as Code tools (Terraform / Ansible).
Experience with observability tools (Prometheus, Grafana, ELK, Datadog, etc.).
Exposure to incident response, troubleshooting, and root cause analysis.
Ownership-driven mindset with passion for improving reliability through automation.
Nice to Have
Exposure to AIOps or AI/ML-driven automation for reliability and operations.
Interest in building agentic AI workflows and AI-assisted automation for SRE use cases.
Familiarity with LLM platforms (e.g., Azure AI Foundry / Azure OpenAI) and prompt-based tooling.
Familiarity with cloud cost optimization and reliability frameworks.
Knowledge of CI/CD pipelines and AIOps or AI/ML automation.
Experience working with or administering databases (Oracle DBA, PostgreSQL, or other relational databases).
Experience developing or maintaining service health dashboards.
What You’ll Gain
Hands-on experience in multi-cloud environments supporting global Ocean & Enablement platforms.
Opportunity to contribute to automation, AIOps, and observability frameworks improving reliability at scale.
Mentorship from senior SREs and architects on scalability and operational excellence.
A career path toward advanced SRE roles within Maersk’s global technology ecosystem.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
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