1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
17.00 LPA TO 18.00 LPA
Role OverviewWe are seeking a talented Full Stack Engineer who can build scalable backend services and intuitive frontend applications. You will take end-to-end ownership of features — from architecture to deployment — helping accelerate our AI product roadmap.Key Responsibilities• Build and maintain backend services using Django / Django REST Framework• ...
4 Opening(s)
5.0 Year(s) To 10.0 Year(s)
12.00 LPA TO 18.00 LPA
Key Responsibilities• Backend Development: Design, develop, and maintain scalable backend services usingmodern Java for a multi-tenant SaaS platform.• API Development: Build and maintain RESTful APIs and gRPC services with cleardocumentation and high performance.• Microservices & Distributed Systems: Develop and support microservices and event-drivenarchitectures using frameworks such as Spring Boot and ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Platform Engineer - GCP
About the Role
We are seeking an experienced Platform Engineer with deep expertise in Google Cloud Platform to join our engineering team. In this role, you will be responsible for designing, building, and maintaining our cloud infrastructure and platform services, enabling our development teams to deploy and run ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 11.00 LPA
Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
7.00 LPA TO 9.00 LPA
What You’ll Do• Build the Brains & the Beauty: Design, develop, and maintain scalable backend systems in Python/Django and responsive frontends with React.js.• API Maestro: Create and optimize robust RESTful APIs (and possibly GraphQL) to seamlessly connect backend logic with powerful user interfaces.• Craft Amazing UIs: Develop intuitive, pixel-perfect, and ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Overview
As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and
maintaining the infrastructure and workflows that support our machine learning systems. You’ll
work closely with data scientists, ML engineers, and DevOps teams to implement scalable
MLOps solutions, mentor team members, and ensure smooth deployment and ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
25.00 LPA TO 30.00 LPA
SQL Server architecture (memory management, IO, Backup-Restore mechanisms, High Availability options)
DB physical design structures: Table design, data types, Index design, Columnstore Index internals (mandatory!), functions, procedures, table partitioning and partition management
Manage and maintain database monitoring tools, backup software, and management agents to ensure system performance, data integrity, and availability. Proactively ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
14.00 LPA TO 16.00 LPA
Job Title: Senior Python & Spark Developer
Role Overview:
We are looking for an experienced Senior Python & Spark Developer with strong expertise in Python (Django, Flask) and PySpark for large-scale data processing. The ideal candidate will be a self-starter who can independently own and deliver end-to-end tasks, while also guiding junior ...
2 Opening(s)
7.0 Year(s) To 10.0 Year(s)
20.00 LPA TO 25.00 LPA
Role Overview:We are seeking a highly skilled Technical Lead with strong expertise in Java and Spring Boot to lead a team of 2–10 engineers (junior and senior). The ideal candidate will have a proven track record in managing end-to-end SDLC, designing scalable architectures, and delivering enterprise-grade solutions in a collaborative ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Python,
SQL,
Spark,
Pandas,
Airflow,
Azure Data Factory, or equivalent,
Azure (preferred),
AWS or GCP,
PostgreSQL,
MS SQL Server, NoSQL (MongoDB, etc.),
S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc
Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP.
Programming Languages: Proficiency in Python
Problem-Solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and collaboration skills.