N #2019
Applications open
Full-Time Job
Technical Lead And Software Architect
Nimmee Rahul Dubey
About the role
Technical Lead Software Engineering Experience: Senior, hands-on technical professional exp 5 to 8 yrs Notice Period: 15โ30 days Industry: IoT | Cloud Computing | Software Engineering Job Description We are looking for an experienced Technical Lead โ Software Engineering to lead the design, development, deployment, and maintenance of scalable, secure, and high-performance software solutions. The ideal candidate will have strong hands-on expertise in software development, cloud architecture across AWS and Microsoft Azure, DevOps, and IoT platforms. The role requires end-to-end technical ownership, problem-solving capabilities, and the ability to guide engineering teams. Key Responsibilities Own the complete software development lifecycle, from requirements analysis and solution design to development, deployment, and production support. Design and develop scalable web applications, APIs, backend services, and cloud-based solutions. Architect, deploy, secure, and manage production workloads on AWS and Microsoft Azure . Develop and integrate IoT applications involving device connectivity, telemetry ingestion, real-time monitoring, and third-party integrations. Implement CI/CD pipelines, containerization, infrastructure automation, monitoring, and deployment processes. Design and optimize databases, distributed systems, microservices, and event-driven architectures. Ensure application security, system reliability, scalability, performance, and disaster recovery. Conduct code reviews, establish engineering standards, mentor developers, and provide technical guidance. Troubleshoot complex application, database, cloud infrastructure, networking, and production issues. Mandatory Technical Skills Cloud: Hands-on experience with both AWS and Microsoft Azure. Programming: Python, JavaScript, TypeScript, SQL, or equivalent relevant development technologies. Frameworks: Experience with React, Angular, Node.js, Django, FastAPI, or equivalent frameworks. IoT: Experience with IoT applications/platforms, device connectivity, telemetry processing, and IoT cloud services. Protocols: MQTT, HTTP/HTTPS, TCP/IP, UDP; exposure to LoRaWAN or NB-IoT is advantageous. DevOps: Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, or Azure DevOps. Databases: PostgreSQL, MySQL, MongoDB, Redis, or equivalent databases. Architecture: REST APIs, microservices, distributed systems, event-driven architecture, and third-party integrations. Monitoring: Experience with production monitoring, centralized logging, troubleshooting, and performance optimization. Leadership: Technical ownership, solution architecture, team mentoring, and end-to-end project delivery. Preferred Industry Experience Candidates with experience in any of the following domains will be preferred: Internet of Things (IoT) and connected devices Smart metering and utility solutions Industrial IoT and automation Smart infrastructure and device management Cloud-based enterprise software and SaaS platforms Eligibility Criteria B.E./B.Tech., MCA, M.Tech., or an equivalent qualification in Computer Science, IT, Software Engineering, or a related discipline. Strong hands-on development and solution architecture experience. Demonstrated experience deploying and managing production applications on both AWS and Azure. Prior professional experience with IoT-based products, platforms, or enterprise IoT integrations is mandatory. Strong communication, analytical, problem-solving, and technical leadership skills. Application Details Interested candidates who meet the mandatory requirements are requested to email their updated CV to nimmee@techsarthy.in . Please mention the following in your email: Total experience Relevant IoT experience Hands-on experience with AWS and Azure Current CTC and expected CTC Notice period / earliest joining date Current location Preferred notice period: 15โ30 days. Initial Screening Questions Please include brief answers to the following questions along with your CV. HR Screening Questions What is your total experience, and how many years of relevant experience do you have in IoT and software engineering? What is your official notice period? Can you join within 15โ30 days? What is your current location, and are you comfortable with the required work arrangement? Why are you considering a job change at this stage? Technical Screening Questions Describe one IoT project or platform you have developed or deployed. What was your role, and which IoT protocols and technologies did you use? What hands-on experience do you have with AWS and Microsoft Azure? Briefly describe the production workloads you have managed on each platform. Which programming languages and backend/frontend frameworks have you worked with hands-on? Have you implemented Docker/Kubernetes-based deployments and CI/CD pipelines? Which tools did you use? How have you handled IoT telemetry ingestion, MQTT-based communication, or device-to-cloud integration? Describe a challenging production issue involving cloud infrastructure, application performance, databases, or IoT connectivity that you resolved. Candidates with strong hands-on experience in IoT + AWS + Azure , along with software architecture and technical leadership capabilities, will be given priority.
Eligibility & process
Who can apply
Experience: 5-10 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Nimmee Rahul Dubey and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Nimmee Rahul Dubey Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Nimmee Rahul Dubey and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
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 (Docker, Smart Metering, Microsoft Azure, Stack Development, Architecture, CI/CD, Cloud, REST APIs) & 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
Nimmee Rahul Dubey 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 Docker. 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 Nimmee Rahul Dubey as a Technical Lead And Software Architect?
Highlight Nimmee Rahul Dubey's market reputation, recent tech innovations, and how your skills in Docker directly solve their team's objectives.
Highlight Nimmee Rahul Dubey's market reputation, recent tech innovations, and how your skills in Docker 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).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.