Devops Engineer
INBLR02 - Bangalore - Milesstone Buildcon, India
Maersk
Maersk is an integrated logistics company that offers supply chain solutions for managing shipments and cargo. Learn how to register, book and find prices.We are looking for a cloud Engineer with strong database expertise to join our team. This role blends traditional DevOps with database engineering, focusing on high-performance query optimization, data modelling, distributed data processing, and cloud-native database architectures. The ideal candidate is passionate about automating workflows, integrating DevOps best practices into data-driven applications, and optimizing performance at scale for cloud use cases.
The Impact You'll Make
Join a dynamic and innovative team at Maersk where we are transforming the future of shipping logistics through cutting-edge DevOps & SRE practices. Our team plays a pivotal role in enabling seamless software delivery, ensuring reliability, scalability, and security at every stage of the development lifecycle. We are responsible for managing the infrastructure for multiple application teams and are expected to drive best practices for one of the central and rapidly growing platforms at Maersk. As a cloud Engineer, you’ll be part of a high-impact group that collaborates with engineering, security, and operations teams to drive automation, efficiency, and innovation. If you're passionate about solving complex challenges and making a real difference, this is the place for you!
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
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
We offer
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure CI/CD Cosmos DB Data pipelines DevOps Engineering GCP GitHub Grafana Helm Java Kafka Kubernetes Linux Machine Learning Microservices MLFlow Model deployment MongoDB MySQL NoSQL Pipelines PostgreSQL Power BI Python Security Shell scripting Spark SQL Superset Terraform
Perks/benefits: Career development Medical leave Parental leave
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