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Applications open Full-Time Job

Backend&Cloud Engineer

Embitel Technologies

  • Remote, India
  • Competitive Package (Best in Industry)
  • 6-11 Yrs
  • Posted Today
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About the role

Job Summary Job Title: Backend & Cloud Engineer Experience: 7+ Years Employment Type: Full-time Work Location: Bangalore Department: Engineering / Cloud & DevOps Job Summary We are looking for an experienced Backend & Cloud Engineer with 8+ years of hands-on experience in backend development, cloud infrastructure, automation, and cloud-native technologies. The ideal candidate will have strong expertise in Python, API development, microservices, Azure, Kubernetes, Terraform, Bicep, CI/CD, GitOps, and Infrastructure as Code (IaC). The candidate will be responsible for designing and developing scalable backend services, automating cloud infrastructure, implementing DevOps practices, and supporting highly available and secure cloud-native applications. Key Responsibilities Backend Development Design, develop, and maintain scalable and high-performance backend applications using Python. Develop and maintain RESTful APIs and microservices. Design modular, maintainable, and reusable backend components. Implement authentication, authorization, API security, validation, logging, and error handling. Optimize application performance, scalability, and reliability. Work with databases and data storage systems as required. Troubleshoot and resolve application-level issues across development, testing, and production environments. Required Technical Skills Must Have 7+ years of overall IT/software engineering experience Strong hands-on experience with Python Strong experience in REST API development Experience designing and developing microservices Strong knowledge of Microsoft Azure Hands-on experience with Kubernetes Strong experience with Terraform Experience with Azure Bicep Good understanding of Infrastructure as Code (IaC) Strong knowledge of CI/CD pipelines Hands-on experience with Git and GitOps Experience with Docker/containerization Strong understanding of cloud-native architecture Good knowledge of DevOps practices and automation Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of relevant software engineering / cloud engineering experience. Strong problem-solving and analytical skills. Good communication and collaboration skills. Ability to work independently as well as collaborate with cross-functional teams. Key Competencies Backend Engineering Python Development API & Microservices Azure Cloud Kubernetes & Containers Terraform & Bicep Infrastructure as Code CI/CD Automation GitOps Cloud Security Monitoring & Observability Automation & DevOps Scalability & High Availability Troubleshooting & Problem Solving Role Expectations The successful candidate will be expected to take ownership of backend and cloud engineering initiatives, contribute to architectural decisions, improve automation and deployment processes, and build reliable, secure, and scalable cloud-native solutions. Ideal Candidate: A strong Backend/Cloud Engineer who combines Python development expertise with hands-on Azure, Kubernetes, Terraform, Bicep, CI/CD, and GitOps experience , and can independently design, automate, deploy, and support production-grade cloud-native applications.

Eligibility & process

Who can apply

Experience: 6-11 Yrs. Open to matching qualifications.

Skills & stack

Cloud Python Microsoft Azure REST APIs Microservices Azure Docker Kubernetes

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 (Cloud, Python, Microsoft Azure, REST APIs, Microservices, Azure, Docker, Kubernetes) & 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 Embitel Technologies 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 Cloud. 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 Embitel Technologies as a Backend&Cloud Engineer?
Highlight Embitel Technologies's market reputation, recent tech innovations, and how your skills in Cloud 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.
Embitel Technologies Competitive Package (Best in Industry)
Recruiter Resume Apply
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