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Location: Mumbai, India
Compensation: INR 300000 - 500000 per year
Job Summary:
We are looking for an Application Support Engineer with strong knowledge of Linux and SQL to monitor, troubleshoot, and optimize applications, perform root-cause analysis, support testing activities, and ensure application stability and performance.
Role & Responsibilities:
Configure, monitor & maintain applications.
Performance analysis of the functionality of applications and suggest significant improvements.
Offer software application testing and support.
Deep knowledge on debugging and analysing the root causes of application errors.
Maintain comprehensive documentation of monitoring setups, configurations, and incident reports.
Work closely with IT teams and other stakeholders to address monitoring needs and improve system performance.
Skills:
Excellent skills on Linux/Sql and basic network configuration.
proficiency in preparing sql queries and optimization skills.
Good knowledge on diagnose and troubleshoot technical issues.
Excellent problem-solving and communication skills to provide step-by-step technical help, both written and verbal.
Bachelor’s degree in computer science, software engineering or relevant field.
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
From live job posts on CoreHRx, updated 4 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post states ₹3–5 LPA.
In Mumbai.
It is a full time job.
You apply on OLIVE CRYPTO SYSTEMS PRIVATE LIMITED's website. CoreHRx takes you there after you sign in.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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