***Please provide responses to all screening questions***

Job Code: ITAP - 3847

Position: Senior Software Engineer – AWS + Python/MLOps

Experience: 8–12+ years
AWS Experience: 5+ years
Must Have: Python + SageMaker/MLOps + AWS Architecture
Strong experience with: Docker, EKS/ECS, Microservices, Kafka/SQS, CI/CD
Technical Lead/Architect experience preferred
Most Critical: AWS 5+ + Python + SageMaker/MLOps + Architecture + 8+ years
Location: Hyderabad – Gachibowli
Notice Period: 15 days only
Budget: Up to ₹28 LPA
Interview Process: 1st Round – Internal Virtual | Final Round – In-person at Hyderabad office

What you’ll be doing: Partner with Architecture/Product/CloudOps/Engineering teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of cloud services. Designs and implements complex architectural solutions using AWS design principles, best practices, and industry standards. Build scalable, reliable, and cost-efficient ML pipelines using Python, AWS services (SageMaker, Lambda, Step Functions, S3, ECR, etc.), and container technologies (Docker, ECS/Fargate). Lead technical design reviews, guide engineering teams on architectural best practices, and create high-level and low-level design documents. Determines code quality and test coverage, designs and implements tests to make sure software is built to the highest quality possible. Communicate and explain technical/architectural decisions to product, development, and delivery teams Drive continual improvement in quality and efficiency, including defect prevention/root cause analysis, as well as suggest and adopt improvements to technology and efficiency. Perform proof of concept work for integrating new technologies into the existing product. Ability to comprehend detailed project specifications,



as well as the ability to adapt to various technologies and simultaneously work on multiple projects. Participates in reviews of software engineers’ code to deliver high-quality solutions. Work closely with the product and actively participate in business requirement analysis. Lead and mentor junior members of the team. Research and implement performance tuning and enhancements to existing and newly developed systems to gain the most performance from the existing Infrastructure.

What your background looks like: BS in Computer Science or related fields; MS preferred 8+ years’ experience in key engineering roles, such as technical lead, software engineer, and software architect. 5+ years’ experience using Amazon Web Services (AWS) to architect and deploy reliable, cost-effective, scalable, and secure cloud native solutions. Experience working in an agile / scrum environment Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework, industry standards, and best practices Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow. Hands-on design and development experience using Python, Flask, Django, AsyncIO, etc. Good understanding of distributed software applications, including system integration, testing, and troubleshooting Experience in monitoring the health of distributed systems and a strategy for error detection and recovery Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora,



ECS-Fargate ...etc.) Passionate to learn new frameworks, building recent processes and procedures from scratch, and training the analysts on best practices. Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.) Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS. Strong knowledge of software development process and project management methodologies. Strong problem-solving and analytical skills. Excellent communication and documentation skills with the ability to lead cross-functional initiatives. Enjoy working in a dynamic, fast-moving, and challenging environment Good team player and work with globally distributed teams.

Nice to have Experience with monitoring and logging tools - Dynatrace, Splunk etc. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn. Experience with Kubeflow, MLflow, Airflow, or similar workflow orchestration tools. Building automated and scheduled pipelines for analytical processes.

Skills: AWS, DevOps, AWS Lambda, AWS SageMaker, Splunk, Dynatrace, PyTorch, TensorFlow, Scikit-learn, MLflow

Job Type: Full-time

Pay: Up to ₹2,800,000.00 per year

Application Question(s):

- Hello, please provide responses to the below screening questions:

-How many years experience do you have in the following:
AWS,
DevOps,
AWS Lambda,
AWS SageMaker,
Splunk,
Dynatrace,
PyTorch,
TensorFlow,
Scikit-learn,
MLflow

-Current Location:

-Are you ok with Hyderabad as the work location and pure WFO?:

-Notice Period:

-Total Experience in Years:

-Nationality:

-Mobile No.:

-Email ID:

-Upon offer issuance, how soon can you join?:

-Do you have a Passport?:

-Current CTC/monthly pay:

-Expected CTC/monthly pay:

Work Location: In person

📌 Senior Software Engineer – AWS + Python/MLOps (Hyderabad)
🏢 Intech - Client of Clastech Solutions & Services
📍 Hyderabad