1 Quantiphi Analytics Solutions Private Limited Senior Platform Engineer Job

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

• 3+ years of relevant hands-on technical experience in implementing AWS services.

• Proficiency with Python, minimum 2+ years experience, object oriented programming, and software development lifecycle, knows Basic programming constructs and have worked on python libraries (Boto3 ) and shell scripting.

• Hands on experience with AWS services (Lambda, ECS, EKS, S3, RDS, SNS, SQS, VPC, IAM, ELB, ASG, Loading Balancing ) with fundamental understanding of (Elastic Beanstalk, OpenSearch)

• Experience with Airflow (Orchestration is exceptionally good to have)

• Must have worked on VCS (Code commit, GitHub Bitbucket and understanding of branching strategy and version control)

• Exposure to Docker containerization and Kubernetes.

• Experience with IAC - CFT, AWS CDK , Terraform

• Good understanding with EKS and related configuration to interact with AWS services (IRSA, EKS addons, etc. )

• Must have experience with networking in case of multi-account environments by setting up of VPCs, Transit Gateway, S2S VPN Tunnel etc.

• Experience with handling security recommendations from security Hub etc.

• Familiarity with AWS CloudWatch for monitoring and logging AWS resources, enabling proactive monitoring of system health and performance.

• Worked on Linux based systems

• Experience with Agile/Scrum/DevOps software development methodologies.

Role & Responsibilities:

• Setting up the infrastructure and implementing all the best practices (access and networking) along with handing the key responsibilities of InfraOps developer.

• Documentation for application architecture and solutions

• Collaboration with cross-functional teams, including platform engineers, Machine learning engineers, software developers and business stakeholders, to ensure data solutions meet business needs.

• Adhering to project timelines

• Communicate with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies

Good to have skills:

• Experience with InfraOps and DevOps practices

• Exposure of continuous integration/continuous deployment (CI/CD) pipelines for data solutions.

• Implement and manage MLOps principles and best practices for Gen AI model