SDET - Java Selenium Test Engineer

Testing Mavens Software

5 - 10 years

7 - 12 Lacs

kolkata mumbai new delhi hyderabad pune chennai bengaluru

Posted:None| Platform:

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Skills Required

pharmacy devops infrastructure deployment selenium aws monitoring solution architect python linux administration

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Us

Testing Mavens

is a next-generation QA & Software Testing Services provider headquartered in New Jersey, USA, with offshore facilities in India. We have deep expertise in various spheres like Finance and Advisory, EdTech, Fashion and Pharmacy, etc. We partner with massive global brands to deliver excellent testing experience.

Test Engineer

Kochi, Kerala or Permanent Remote (Anywhere in India)

Full time

Job Overview

We are seeking an

AWS DevOps Engineer

to design, implementation, and maintenance of scalable, secure, and production-grade cloud infrastructure. This role is ideal for someone with deep DevOps expertise and a strong interest or background in deploying

LLM-based and agentic AI systems

at scale.

Key Responsibilities

Architect and implement robust AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation, or CDK)
Lead development of CI/CD pipelines using AWS CodePipeline, CodeBuild, GitLab CI, or Jenkins
Manage and scale containerized applications using Docker, ECS, EKS, and Kubernetes
Define and maintain monitoring, logging, and alerting using CloudWatch, ELK, Prometheus, or Grafana
Enforce security best practices, cost optimization, and ensure high availability of infrastructure
Collaborate with ML engineers to productionize ML/LLM pipelines, including agentic and retrieval-augmented generation (RAG) systems

Required Skills

5+ years of experience in AWS cloud infrastructure (EC2, S3, VPC, Lambda, RDS, ECS/EKS)
Proven track record in DevOps practices and building complex CI/CD pipelines
Expertise in Infrastructure as Code (Terraform, CloudFormation, or AWS CDK)
Strong proficiency in container orchestration (Kubernetes, Docker)
Scripting skills (Python, Bash) and solid Linux administration experience
AWS certifications (Solutions Architect, DevOps Engineer, or equivalent) preferred

Preferred Skills

Experience deploying LLMs and agentic AI systems in production (e.g., autonomous agents, RAG pipelines, tool-using LLMs)
Familiarity with AWS AI/ML services (SageMaker, Bedrock, Lambda for inference, etc.)
MLOps experience with tools like MLflow, Kubeflow, SageMaker Pipelines
Experience with event-driven or streaming architectures (Airflow, AWS Glue, Kafka)
Advanced observability for AI/ML systems (model drift, custom monitoring, Grafana dashboards)
Familiarity with securing and scaling AI inference endpoints in enterprise environments

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