L #3130
Applications open
Full-Time Job
Project Manager- Engineering Manager,Python,Microservices,Kafka,Nosql
Blue Yonder
About the role
Scope
- We are seeking a highly skilled Python Developer with a strong background in distributed systems, DevOps practices, and Test-Driven Development (TDD). The ideal candidate will be proficient in event-driven architectures using Kafka, familiar with Java-based microservices, and experienced with NoSQL databases (preferably Snowflake).
- You’ll collaborate with cross-functional teams to design, develop, and deploy scalable, high-performance backend services — and optionally contribute to front-end components (React, Node.js) or Generative AI-driven features in our product ecosystem.
Our Current Technical Environment
- Software: Python,Java, Springboot, React, Gradle, GIT, Hibernate, Rest API, OAuth
- Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
- Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
- Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite
What You’ll Do
- Design, develop, and maintain robust Python-based backend services and APIs.
- Build and integrate event streaming solutions using Apache Kafka for real-time data pipelines.
- Collaborate with Java teams to develop and maintain hybrid Python–Java microservices.
- Implement Test-Driven Development (TDD) practices and ensure high code coverage and maintainability.
- Design and optimize NoSQL data models (preferably Snowflake, MongoDB, or DynamoDB).
- Develop and automate CI/CD pipelines using DevOps tools (Jenkins, GitHub Actions, Docker, Kubernetes).
- Collaborate with Data Engineering and AI teams to integrate analytics, ML, or Generative AI modules.
- Contribute to architectural design and performance optimization discussions.
- Optionally, support front-end development in React.js or Node.js when needed for full-stack integration.
What We Are Looking For
- 10+ years of professional experience in software development.Strong proficiency in Python (Flask, FastAPI, or Django frameworks).
- Solid understanding of event-driven systems and Apache Kafka.Hands-on experience with Java (Spring Boot or similar frameworks).
- Experience with DevOps tooling — Docker, Kubernetes, CI/CD, monitoring, and deployment automation.Expertise in NoSQL databases (Snowflake preferred; MongoDB, Cassandra, or DynamoDB acceptable).
- Practical experience with Test-Driven Development (TDD) and automated testing frameworks (pytest, unittest, JUnit).
- Strong grasp of software design principles, RESTful APIs, and microservices architecture.
- Good knowledge on Gen AI/ML. Hands-on will be a plus
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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 Blue Yonder 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
Blue Yonder Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Blue Yonder 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, Java, JavaScript, React, Node.js, Spring Boot, Django, FastAPI) & 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
Blue Yonder 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 Blue Yonder as a Project Manager- Engineering Manager,Python,Microservices,Kafka,Nosql?
Highlight Blue Yonder's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Highlight Blue Yonder'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
Bengaluru, India
Employment type: Full-time
