L #2507
Applications open
Full-Time Job
Backend Engineer - Python - Senior
Spark Eighteen
About the role
We are looking for a Senior Backend Engineer (Python - Senior) who is not only technically strong but also passionate about building high-quality products and systems. In this role, you will work on designing and developing robust backend systems, contribute to architectural decisions, drive best engineering practices, and mentor junior team members. You will collaborate closely with cross-functional teams to deliver secure, scalable, and high-performance applications.
Requirements
- 5–7 years of hands-on experience in Python backend development using frameworks such as Django, Flask, or FastAPI.
- Bachelor's or Master's degree in Computer Science or an equivalent discipline.
- Strong experience in designing, architecting, and developing scalable, secure, and high-performance web applications.
- Hands-on experience with AWS cloud services, particularly serverless architecture, including AWS Lambda, API Gateway, S3, SQS, and SNS.
- Understanding of serverless application development, deployment, monitoring, and optimization.
- Basic to intermediate knowledge of Data Engineering concepts, including Apache Airflow, workflow orchestration, and ETL pipelines.
- Strong understanding of RESTful APIs, microservices, event-driven architecture, and SQL/NoSQL databases.
- Experience with Git, CI/CD pipelines, Docker, and cloud-based deployment practices.
- Proficiency in application security, including OAuth2, JWT, authentication, and authorization.
- Understanding of Python asynchronous programming, multithreading, multiprocessing, and performance optimization.
- Experience in troubleshooting, debugging, maintaining applications, and conducting code reviews.
- Ability to drive coding standards, testing practices, and continuous improvements.
- Proven ability to mentor junior developers and collaborate effectively across teams.
- Strong ownership mindset, problem-solving skills, and willingness to learn emerging technologies.
Benefits
- Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work
- Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
- Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
- Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments
- Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value
- Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution
- Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build
- Annual recognition programs and performance-driven awards in a truly meritocratic environment
- Referral bonuses that reward you for helping grow a strong, like-minded team
- A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges
- A positive, people-first workplace that supports happiness, balance, and long-term growth
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
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 Spark Eighteen and tech roles.
Technical Placement 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
Spark Eighteen Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Spark Eighteen 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 (Python, SQL, Django, FastAPI, Flask, REST APIs, Microservices, 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
Spark Eighteen Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Spark Eighteen as a Backend Engineer - Python - Senior?
Highlight Spark Eighteen's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Spark Eighteen's market reputation, recent tech innovations, and how your skills in Python 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.
Competitive Package
Delhi NCR, India
Employment type: Full-time
