Job Description

Key Responsibilities:

Database Engineering & Optimization

+ Manage, optimize, and monitor

SQL (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, Cosmos DB, etc.)

databases with a focus on

cloud-based PaaS solutions (azure preferred).

+ Implement

database performance tuning techniques

such as

indexing, caching strategies, partitioning, and query optimization in self-managed and managed DB.

+ Automate

database backups, replication, high availability (HA), and failover strategies, Db Health & Maintenance and

cluster setups

using cloud-native tools.
+ Hands on with

DB Updates and Patching / Security and Access Control / Data Integrity and Consistency checks.

DevOps & Infrastructure Automation

+ Automate

infrastructure provisioning

using

Terraform, and Helm.

+ Implement

CI/CD pipelines for database changes and schema migrations

using

Liquibase, etc.

+ Implement

multi-region database deployments

to enhance

performance, resilience, and fault tolerance

across geographically distributed workloads.
+ Manage

Kubernetes-based workloads.

+ Deploy

cloud resources in public cloud environments (GCP/Azure) with full infrastructure lifecycle management

.
+ Set up

monitoring solutions

using

Prometheus, Grafana, Datadog, or Azure Monitoring

.
+ Strong

Linux administration and shell scripting

experience for automation.
+ Proficiency in

Python and Go

programming to automate workflows.
+ Support

application teams

with regular

deployments, debugging, root cause analysis (RCA), and advocating best practices

.
+ Understand the

Well-Architected Framework

in cloud workloads to optimize and right-size workloads across all pillars, with a strong focus on

cost reduction

.

Security, Compliance & Governance

+ Implement

role-based access control (RBAC), encryption strategies, and fine-grained security controls

for databases.
+ Ensure

compliance with GDPR, SOC 2 and other data security regulations

and auth methods (basic understanding of concepts, not expert level).
+ Kubernetes network security concepts.
+ Automate

IAM policy enforcement, database firewall rules, and security auditing

for sensitive datasets.

Monitoring, Logging & Troubleshooting

Enable real-time

application monitoring

by creating

observability visualizations

using

Prometheus, Loki, and Grafana

to track system health, logs, metrics, and infrastructure performance.



+ Proactively

troubleshoot and resolve database and support cloud application-related issues

.

Collaboration & Documentation

+ Work closely with

SRE, DevOps, operations and Engineering teams

to align infrastructure enabling application teams to run

cloud-native applications effectively at scale.

+ Document system

architectures, performance benchmarks, and operational playbooks

.
+ Enable

development teams

on efficient

data modelling, query optimization, and best DevOps practices

for database management along with

compute resource management (cloud compute services)

.
+ Basic understanding of

Java Spring microservices

to work with application teams.

Qualifications & Skills

Desired Skills (Must-Have)

+ 7+ years of industry experience, with 4+ years in DevOps focusing on database administration & performance tuning frameworks.
+ Expertise in SQL (Azure SQL Database, PostgreSQL Flexible Server, MySQL, SQL Server) and NoSQL (Cosmos DB)
+ Familiarity with Kafka and message queuing systems.
+ Experience with code deployment procedures and GitOps -Flux, with advanced knowledge of canary and blue-green deployment strategies.
+ Infrastructure as Code (IaC) & Automation:
+ Terraform, Kubernetes (AKS), Helm, and CI/CD tools (Azure DevOps, GitHub Actions)
+ Database Performance Optimization:
+ Query tuning, indexing, caching, connection pooling, and query profiling for Azure database services and self-managed Databases.
+ Monitoring & Observability:
+ Experience with Azure Monitor, Application Insights, Log Analytics, and Grafana for health checks and dashboards.
+ Scripting & Automation:
+ Proficiency in Python and Go for database automation and DevOps scripting.
+ Certifications on cloud associate level or +, on Kubernetes (CKA, CKAD) are well addons and knowledge on any public cloud
+ Basic data engineering knowledge, exposure to ADF, Spark, and Airflow for data pipelines, and experience in ML model deployment (Azure ML, MLflow). Bonus if eager to learn ML visualization, Vector DBs, Power BI, and Apache Superset

We offer

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As an organization with a global presence, joining Maersk is a wonderful and exciting opportunity for you to work with people of diverse talents & backgrounds. We are committed to growing our people and will provide you with opportunities that broadens your knowledge and strengthens your professional & technical skills.

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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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