GrepJob
NICE

Senior Professional Services Engineer(PL/SQL Developer, Unix)

NICE

Apply
about 3 hours ago
Pune, India
Senior / Mid Level

Responsibilities

  • Develop, configure, and customize Actimize software features per design and enterprise standards.
  • Collaborate with Architects and Business Analysts using waterfall and agile methodologies.
  • Complete complex development and configuration tasks independently.
  • Troubleshoot and resolve functional issues for customers.
  • Interface with R&D, Professional Services, and Customer Support teams.
  • Implement and configure new applications and deploy solutions.
  • Contribute to internal tools and utilities for engineering efficiency.
  • Occasionally work onsite or across different time zones as required.
  • Perform detailed troubleshooting, analysis, and debugging in enterprise environments.
  • Manage complex database environments handling large data volumes.

Requirements

  • Strong understanding of end-to-end application workflows.
  • Hands-on expertise with SQL and managing large datasets.
  • Strong analytical, debugging, and problem-solving skills.
  • Quick learner with excellent communication skills.
  • Experience developing within complex database environments.
  • Exposure to Unix and basic command-line operations.
  • Ability to independently develop and configure enterprise-grade software features.
  • High attention to detail with effective task management and planning.
  • Understanding of scalable, secure, multi-user coding concepts.
  • Experience or knowledge in Actimize development is a plus.
  • Professional Services / Implementation exposure is a plus.
  • DevOps knowledge (Kubernetes, Docker) is a plus.
  • AI/ML solution design and deployment experience is a plus.

Benefits

  • Flexible working model with 2 days in the office and 3 days remote each week.
  • Opportunities for internal career growth across multiple roles and disciplines.
  • Collaborative and creative work environment.

Tech Stack

DockerKubernetesPostgreSQLSQL

Categories

AI & MLBackendData EngineeringDevOps