Sr Database Administrator - MongoDB
ACI Worldwide · Limerick
Description
Powering the world’s payments ecosystem
ACI powers the payments ecosystem – globally, and you power ACI. You’ll innovate, collaborate, and grow – in an energetic technology culture with decades of proven success. ACIers – in all roles and levels – are truly your colleagues and many are your friends. Our size and reach allow you to see the global impact of your work. You are visible, your talents are valued, and you are empowered to shape the future of payments.
As a Senior Database Administrator- MongoDB in Pune, you will join a diverse, passionate team, dedicated to powering the world’s payments ecosystem!
Job Summary
ACI Worldwide is seeking a highly skilled and experienced Senior Database Administrator with strong expertise in MongoDB, MongoDB Atlas, performance engineering, automation, cloud-native database operations, and Site Reliability Engineering practices. This role is ideal for a hands-on database professional who can support highly available, scalable, and reliable MongoDB environments while improving performance, observability, automation, and operational efficiency.
This role will focus heavily on MongoDB performance, availability, monitoring, automation, and reliability in a managed service environment, where traditional database activities such as backups, recovery, storage, and infrastructure scaling may be handled through the managed platform. The successful candidate will work closely with engineering, DevOps, security, and database teams to support the Kinetic platform and enterprise database operations.
Key Responsibilities
- Design, implement, monitor, and manage MongoDB environments, including replica sets, sharding, backups, performance, and availability.
- Support MongoDB Atlas and cloud-hosted MongoDB environments with a strong focus on performance, availability, monitoring, and automation.
- Analyze and optimize MongoDB performance across query execution, indexing, memory usage, I/O, schema design, and data modeling.
- Partner with engineering teams to improve application-database interaction patterns and ensure scalable, high-performing database solutions.
- Apply SRE principles to database operations, including SLIs, SLOs, error budgets, incident response, root cause analysis, and postmortems.
- Build and improve observability dashboards, monitoring, alerting, and operational insights using tools such as Prometheus, Grafana, Datadog, ELK, or similar platforms.
- Automate database operational tasks such as monitoring, patching, provisioning, configuration management, and recurring maintenance activities.
- Support secure, compliant, reliable, and cost-effective cloud database operations across AWS, Azure, GCP, or MongoDB Atlas environments.
- Collaborate with DevOps, Engineering, Database, and Security teams to ensure reliability, scalability, security, and operational excellence.
- Mentor junior DBAs and contribute to knowledge sharing, standards, documentation, and continuous improvement in database reliability and performance.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
- 5+ years of experience as a Database Administrator, Database Engineer, or similar role.
- At least 3 years of hands-on experience with MongoDB administration, performance tuning, and scaling.
- Strong understanding of MongoDB internals, indexing, query optimization, replication, sharding, backups, and high availability.
- Experience working with MongoDB Atlas or cloud-hosted MongoDB environments.
- Experience applying SRE practices to database operations, including monitoring, incident response, reliability improvement, and automation.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong troubleshooting, analytical, communication, and documentation skills.
Technical Expertise
- Expert-level experience with MongoDB administration, MongoDB Atlas, replica sets, sharding, indexing, backups, and performance tuning.
- Strong knowledge of MongoDB performance engineering, query optimization, schema design, data modeling, capacity planning, and benchmarking.
- Experience with cloud-native database operations across AWS, Azure, GCP, and MongoDB Atlas.
- Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or similar automation frameworks.
- Strong understanding of SRE practices, SLIs, SLOs, error budgets, incident response, root cause analysis, and postmortems.
- Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, ELK, or similar platforms.
- Proficiency in scripting and automation using Python, Bash, or similar scripting languages.
- Knowledge of CI/CD pipelines, centralized logging, configuration management, and automation for database operations.
- Understanding of security, compliance, high availability, disaster recovery, and operational reliability for enterprise database platforms.
Ideal Candidate
The ideal candidate combines deep expertise in MongoDB, MongoDB Atlas, performance tuning, automation, cloud-native database operations, and SRE practices with the ability to support scalable, reliable, and highly available enterprise database platforms. The successful candidate will be performance-driven, automation-focused, and comfortable working in a managed service database environment where monitoring, reliability, and continuous improvement are critical.
Core Capabilities
We seek colleagues who embody our core capabilities — these shape our culture and enable us to make a meaningful impact together:
- Ensure Accountability: holding self and others accountable to meet commitments.
- Drives Results: consistently achieving results, even under tough circumstances.
- Customer Focus: building strong customer relationships and delivering customer-centric solutions.
- Cultivate Innovation: creating new and better ways for the organization to be successful.
- Collaborates: building partnerships and working collaboratively with others.
- Courage: stepping up to address difficult issues, saying what needs to be said.