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Applications open Full-Time Job

Application SRE Engineer

ADROITENT

  • Bengaluru, India
  • Competitive Package (Best in Industry)
  • 5-10 Yrs
  • Posted Yesterday
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About the role

Job Description

Role summary and requirements Application SRE Engineer(We need application performance tuning, JVM tuning, Thread dump analysis, Heap dump analysis) Position: Application

SRE Engineer Experience

6 Years

Role Overview

We are looking for a passionate Application SRE Engineer to support application reliability, performance optimization, observability, and cloud operations. The role is ideal for professionals with prior application development experience who are interested in building expertise in Site Reliability Engineering and application performance engineering.

Key Responsibilities

  • Monitor, troubleshoot, and resolve application performance and availability issues.
  • Perform root cause analysis and support reliability improvement initiatives.
  • Assist in performance tuning of Java applications and JVM optimization activities.
  • Analyze Heap Dumps, Thread Dumps, GC logs, and application performance metrics.
  • Support implementation of observability solutions using Datadog, Grafana, and Prometheus.
  • Participate in reliability reviews, resiliency assessments, and incident postmortems.
  • Contribute to automation initiatives for monitoring, alerting, and operational tasks.
  • Work with development and architecture teams to improve application scalability and reliability.
  • Support cloud-based deployments and operational excellence across AWS, Azure, or GCP.
  • Learn and contribute to Chaos Engineering, SRE best practices, and AIOps initiatives.

Required Skills

  • 3-4 years of experience in Application
  • Support, Software Engineering, Performance Engineering, or SRE-related roles.
  • Strong understanding of Java applications and JVM fundamentals.
  • Experience troubleshooting application performance issues.
  • Exposure to: Linux Troubleshooting Kubernetes, Docker, Containerization troubleshooting Heap Dump and Thread Dump Analysis JVM Tuning Concepts Monitoring and Observability Tools Hands-on experience with at least one tool from Datadog, Grafana, or Prometheus.
  • Basic knowledge of cloud platforms (AWS, Azure, or GCP).
  • Experience in Python, Shell - automation and scripting.

Preferred Qualifications

  • Prior experience in Application Development, Design, or Software Engineering.
  • Exposure to microservices, cloud-native architectures, and DevOps practices.
  • Knowledge of SRE principles, reliability engineering, and performance optimization concepts.
  • Cloud or observability certifications are a plus.

Eligibility & process

Who can apply

Experience: 5-10 Yrs. Open to matching qualifications.

Skills & stack

Sre Performance Tuning Linux Prometheus Grafana Application Engineering Python

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Sre, Performance, Tuning, Linux, Prometheus, Grafana, Application Engineering, Python) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion ADROITENT Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Sre. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join ADROITENT as a Application SRE Engineer?
Highlight ADROITENT's market reputation, recent tech innovations, and how your skills in Sre directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
ADROITENT Competitive Package (Best in Industry)
Recruiter Resume Apply
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