KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
N #2411
Applications open Full-Time Job

Senior Python Full Stack Engineer

Hiringhood

  • Bengaluru, India
  • Competitive Package (Best in Industry)
  • 7-12 Yrs
  • Posted Yesterday
HR
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About the role

About the Company A growing technology and talent solutions organization focused on helping businesses build high-performance engineering teams and scale their technology operations. The organization works across AI-led solutions, engineering hiring, GCC setup, Cloud & DevOps, AI/ML, Backend, Full-Stack, Embedded & IoT, and Data technologies. Senior Full Stack Engineer Experience: 7-10 Years Location: Manyata Tech Park, Bengaluru Work Mode: Hybrid 3 Days Work from Office Employment Type: Full-Time Notice Period: Immediate to 15 Days Open Positions: 1 Job Description We are looking for a Senior Full Stack Engineer with strong backend engineering expertise and hands-on production experience in React and TypeScript. The ideal candidate should have experience building scalable, reliable, customer-facing software products and owning features end to end. Candidates with experience in product-based companies and exposure to Industrial Analytics, IoT, Industrial AI, Manufacturing Analytics, or Enterprise SaaS platforms will be preferred. Key Responsibilities Design, develop, test, and maintain end-to-end product features across frontend, backend, and data layers. Build scalable backend services, REST APIs, background workers, and third-party integrations. Develop responsive, user-friendly interfaces using React and TypeScript. Design microservices, distributed systems, asynchronous workflows, and event-driven architectures. Work with relational and NoSQL databases to build efficient and reliable data access patterns. Implement automated testing, CI/CD pipelines, monitoring, logging, and production observability. Troubleshoot production issues, improve performance, and ensure system reliability. Collaborate with product, design, and engineering teams on technical decisions and feature delivery. Participate in code reviews, technical design discussions, and mentoring junior engineers. Mandatory Skills 7+ years of professional software engineering experience. Strong backend development experience in Python Hands-on production experience with React and TypeScript . Experience building and operating production APIs, services, background jobs, and integrations. Strong understanding of microservices, distributed systems, queues, retries, idempotency, and failure handling. Experience with relational or NoSQL databases. Experience with automated testing, cloud infrastructure, containers, CI/CD, and production monitoring. Proven ownership of features from design and development through deployment and production support. Strong communication, problem-solving, and technical decision-making skills. Experience working extensively in product-based companies. Bachelor's degree in Computer Science, Electronics, Electrical Engineering, or a related discipline from a Tier 1 institution. Good-to-Have Skills Experience with Go, Python, Node.js, MongoDB, Kafka, NSQ, or similar technologies. Cloud experience with AWS, Azure, or GCP. Experience with event-driven systems, distributed tracing, incident management, and service-level objectives. Exposure to Industrial Analytics, IoT, Industrial AI, Digital Twins, Manufacturing Analytics, Predictive Maintenance, Anomaly Detection, or Sensor/Time-Series Analytics. Experience building enterprise SaaS or data-intensive applications. Exposure to production AI/GenAI integrations. Knowledge of authentication, authorization, auditability, and secure service-to-service communication. Experience with frontend architecture, design systems, accessibility, and data-heavy interfaces. Interview Process L1 Technical Screening: 1.5-hour interview, including a frontend coding round. L2 Hiring Manager Interview: 1.5-hour interview, including a backend coding round. Face-to-face interview is mandatory. Preferred Availability: Immediate to 15 days Work Location: Manyata Tech Park, Bengaluru (3 days from office) Interested candidates who meet the above criteria can apply with their updated resumes.

Eligibility & process

Who can apply

Experience: 7-12 Yrs. Open to matching qualifications.

Skills & stack

TypeScript Industrial Iot REST APIs React Python GCP Machine Handling AWS

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 (TypeScript, Industrial Iot, REST APIs, React, Python, GCP, Machine Handling, AWS) & 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 Hiringhood 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 TypeScript. 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 Hiringhood as a Senior Python Full Stack Engineer?
Highlight Hiringhood's market reputation, recent tech innovations, and how your skills in TypeScript 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.
Hiringhood Competitive Package (Best in Industry)
Recruiter Resume Apply
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