Sr. Software Engineer - 4957

IT Development Team

Overview

Location: hybrid Hyderabad

Employment Type: full time

Experience: 8+ years

Compensation: INR 1,858,320 - 2,322,900

Job Title

Sr. Software Engineer

Experience Required

Extracted: "8+ years' experience in key engineering roles, such as technical lead, software engineer, and software architect."; "5+ years' experience using Amazon Web Services (AWS) "

Overview

Sr. Software Engineer role focused on designing and delivering scalable, secure, highly available cloud-native solutions on AWS. The position includes building distributed Python applications, designing APIs/microservices/event-driven architectures, and leading cloud migration/modernization using AWS Well-Architected Framework. The role also involves MLOps platform architecture (e.g., SageMaker/Kubeflow/MLflow), CI/CD/DevOps practices, and cross-functional collaboration.

Key Responsibilities

Design, develop, and implement scalable, secure, highly available cloud-native solutions on AWS

Architect and manage machine learning platforms and MLOps pipelines (AWS SageMaker, Kubeflow, MLflow)

Build and maintain distributed applications using Python (Flask, Django, AsyncIO)

Design and develop APIs, microservices, and event-driven architectures for enterprise-scale applications

Lead cloud migration and modernization initiatives using AWS Well-Architected Framework principles

Implement CI/CD pipelines and DevOps best practices to improve delivery speed and reliability

Integrate applications with messaging/streaming platforms (Kafka, RabbitMQ, Amazon SQS)

Monitor and optimize production system health/performance/availability; implement alerting and recovery strategies

Collaborate with product managers, architects, data scientists, and engineering teams across global locations

Conduct architecture reviews, code reviews, and provide technical mentoring

Create technical documentation, standards, and best practices for cloud/software engineering/MLOps

Drive continuous improvement via current technologies, automation,



and engineering excellence

Required Qualifications

BS in Computer Science or related fields (MS preferred)

8+ years' experience in engineering roles (technical lead/software engineer/software architect)

5+ years' experience using AWS to architect and deploy reliable, cost-effective, scalable, 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 (AWS SageMaker, Kubeflow, and/or MLflow)

Hands-on design and development experience using Python and frameworks (Flask, Django, AsyncIO)

Understanding of distributed software applications (system integration, testing, troubleshooting)

Experience monitoring distributed systems with error detection and recovery strategies

Systems integration experience including APIs, real-time systems, and microservices

Familiarity with CI/CD processes, testing frameworks, and tools (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness)

Experience integrating with async messaging/logging/queues (Kafka, RabbitMQ, SQS)

Strong knowledge of software development process and project management methodologies

Strong problem-solving and analytical skills

Excellent communication and documentation skills; ability to lead cross-functional initiatives

Team player; able to work with globally distributed teams; comfortable in a fast-moving environment

Technical Skills Required

AWS

MLOps

AWS SageMaker

Kubeflow

MLflow

Python

Flask

Django

AsyncIO

APIs

Microservices

Event-driven architecture

Distributed systems

CI/CD

DevOps

Agile

Scrum

Monitoring

Troubleshooting

System integration

Kafka

RabbitMQ

Amazon SQS

AWS Well-Architected Framework

Nice-to-have

MS (Master of Science)

Tools/Platforms

AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate)

AWS CodeCommit

AWS CodeDeploy

AWS CodePipeline

Jenkins

Harness

Kafka

RabbitMQ

Amazon SQS

AWS SageMaker

Kubeflow

MLflow

Preferred Qualifications

MS preferred

📌 Sr. Software Engineer (JD 4957)_8yrs_Hyderabad (Hybrid)
🏢 Arminus
📍 Hyderabad