Level

Worldline

Assistant Manager - Database Administration

Worldline is hiring an Assistant Manager - Database Administration in Mumbai, India. Level rates it ; you can apply on Worldline.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 270 other open roles at Worldline.

AI in this role

Who we are

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The opportunity

We are looking for a Senior Database Administrator (PostgreSQL) to manage and optimize enterprise PostgreSQL environments. The role involves database administration, high availability, performance tuning, disaster recovery, security, automation, and production support for mission-critical systems.

Day-to-day responsibilities

  • Install, configure, upgrade, patch, and maintain PostgreSQL databases.
  • Manage high-availability environments, including streaming and logical replication.
  • Implement and support connection pooling tools such as PgBouncer.
  • Manage backups, recovery, and Point-in-Time Recovery (PITR) testing using pgBackRest and PostgreSQL utilities.
  • Monitor and optimize database performance, including WAL, memory, vacuuming, indexing, and partitioning.
  • Implement database security controls, including RLS, SSL/TLS encryption, and audit logging.
  • Automate operational tasks using Bash/Shell scripting.
  • Participate in DR drills and ensure business continuity readiness.
  • Handle incident, change, and problem management through ticketing systems.
  • Conduct root cause analysis (RCA), process audits, and maintain documentation.
  • Coordinate with internal teams and product support for issue resolution.

Who are we looking for

  • Bachelor's degree in Computer Science, IT, or a related field.
  • 6–8 years of hands-on PostgreSQL Database Administration experience in production environments.
  • Strong expertise in PostgreSQL performance tuning, replication, backup/recovery, and Linux administration.
  • Proficiency in Bash/Shell scripting.
  • Experience managing incidents under strict SLA-driven environments.
  • Strong analytical, troubleshooting, and communication skills.

Perks & Benefits

Shape the evolution

We are on an exciting journey towards the next frontiers of payments technology, and we look for big thinkers, people with passion, can-do attitude and a hunger to learn and grow. Here you'll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. With an empowering culture, strong technology and extensive training opportunities, we help you accelerate your career - wherever you decide to go. Join our global team of 18,000 innovators and shape a tomorrow that is yours to own. 

Learn more about life at Worldline at jobs.worldline.com

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.

How we rate this

Assistant Manager - Database Administration at Worldline rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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