Service Delivery Coordinator

Job Title : Backend Developer (.NET Core)

Experience : 2 to 5 Years

Work Environment :

• Hybrid model : Minimum 3 days/week from office
• Office Location : Hauz Khas, Delhi
• Flexible working hours based on project needs

Job Summary :

We are looking for a skilled and motivated Backend Developer with 2–5 years of experience, proficient in .NET Core and experienced with cloud platforms (AWS preferred or Azure).

You will be responsible for building scalable backend services and RESTful APIs, integrating with cloud components, and ensuring robust data handling.

Key Responsibilities :

• Design, develop, and maintain robust backend systems using .NET Core 6 or above.
• Develop and manage Web APIs for frontend and third-party integrations.
• Work with cloud infrastructure (preferably AWS: Lambda, EventBridge, SQS, CloudWatch, S3; or Azure: AppService, Functions, AzureSQL, EventHub, Blob Storage).
• Work with databases such as SQL Server, PostgreSQL, and tools like PGAdmin.
• Utilize Entity Framework Core, Dapper, or equivalent ORM tools.
• Collaborate using Git or TFS for version control.
• Develop, debug, and maintain code in Visual Studio.
• Write optimized and scalable SQL queries and stored procedures.
• Participate in code reviews and maintain high code quality.

Required Skills :

• Proficient in .NET Core 6+.
• Experience with RESTful API development.
• Strong command of SQL and relational databases.
• Familiarity with cloud platforms (AWS preferred, Azure acceptable).
• Good understanding of Git/TFS.
• Hands-on experience with tools like Visual Studio, SQL Server, PGAdmin.
• ORM experience with Entity Framework Core, Dapper, or similar.

Nice to Have :

• Exposure to asynchronous processing or event-driven architecture.
• Experience working with Cursor-based data fetching or streaming.

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

We are looking for an experienced and highly motivated Senior Automation Test 

Engineer/Lead with proven expertise in WebdriverIO / Playwright using 

JavaScript. You will be responsible for creating scalable automation frameworks, 

executing tests across web and API layers, and integrating testing into CI/CD 

pipelines in Agile environments.​

​

Key Responsibilities:​

• Design and develop automation frameworks using WebdriverIO / 

Playwright(JavaScript).​

• Collaborate with developers and QA teams to define and implement test strategies 

across UI and API layers.​

• Automate test cases for functional, regression, and integration testing for web 

applications.​

• Perform cross-browser, cross-platform, and responsive testing.​

• Build and maintain scalable test scripts and integrate them with CI/CD pipelines 

(Jenkins, GitHub Actions, GitLab CI).​

• Conduct API Automation using WebdriverIO / Playwright(JavaScript) and 

validate backend services.​

• Create detailed, comprehensive, and well-structured test plans and test cases.​

• Troubleshoot issues, identify root causes, and ensure quality across releases.​

​

Required Skills:​

• 3+ years of experience in test automation with expertise in WebdriverIO / 

Playwright(JavaScript).​

• Strong understanding of modern automation frameworks like POM, BDD, or hybrid 

models.​

• Proficiency in scripting and writing automation tests in Java, JavaScript 

• Experience in API automation testing using WebdriverIO / 

Playwright(JavaScript).​

• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.​

• Solid grasp of Agile methodologies and working in a Scrum team.​

• Version control using Git or Bitbucket.​

Role and responsibilities  

•         Senior Software Engineer work as an integral part of core software test automation team developing the requirement to meet the commitments and quality.

•         Execute full software development life cycle (SDLC)

•         Write well-designed, testable & high quality code

•         Integrate automated components into a fully functional software test automation system

•         Troubleshoot, debug and upgrade existing scripts

•         Comply with project plans and industry standards

•         Ability to Work closely with different scrum teams to understand the product and plan

•         Understanding of Agile practices and JIRA Technical skills requirements.

The candidate must demonstrate proficiency in:

•         Strong Python programming skills

•         Good in Networking(L2/L3) basics

•         Software Test Automation Framework Designing

•         Software Test Process and bug lifecycle

•         Good in Selenium web driver and Rest API automation

•         Working experience on Linux based products

•         Understanding of data structures

•         Familiarity with Dockers Nice-to-have skills

•         Deep experience with both hardware and software

•         Good understanding of Communication Protocols and traffic validation tools

•         Design patterns

•         Open-source software

•         Familiarity with Tcl

•         Problem solving mind and attitude

•         Great Team player

•         Genuine interest in learning and knowledge sharing.

•         Hands-on experience in Jenkins.

•         Hands-on experience in Git/GitHub/Bitbucket repository.

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

Can you say “Yes, I have!” to the below? 
 
 

1. Experience with exploratory analysis, statistical analysis, and model development 
    

1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
    

1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
    

1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
    

1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
    

Can you say “Yes, I will!” to the below? 
 
 

1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
    

1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
    

1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
    

1. Coordinate individual teams to fulfil client requirements and manage deliverable 
    

1. Communicate and present complex concepts to business audiences 
    

1. Travel to client locations when necessary  

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

Education - Any Graduate

Note - Send the design portfolio along with updated resume

Experience - 2+ Years

Job Description -
Must have good knowledge in Adobe - Photoshop, Illustrator and Corel draw, Indesign, 3ds max , Maya and Blender.

Solid knowledge of design and visual principles.
Demonstrated portfolio showing creative, design skills.
Great multi-tasking skills.

Job Type: Full-time

Expected Start Date: October 1^st, 2021