Senior Software Engineer (Python, AI & AWS)

Sky Systems, Inc. (SkySys); Hyderabad; Hybrid; INR 4,200,000 - 6,600,000; Full time

Job summary

Sky Systems, Inc. (SkySys) seeks a Senior AI Software Engineer to build scalable AI-powered applications on AWS, with deep Python expertise and cloud-native architectures.

You will design APIs and microservices, implement LLM integrations, and drive distributed backend systems in a hybrid environment in Hyderabad. You will lead MLOps pipelines with SageMaker/Kubeflow/MLflow, guide architecture reviews, and mentor teams while aligning with AWS Well-Architected principles in a globally distributed

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of software engineering experience.
• 5+ years of hands-on AWS experience.
• Experience with Flask, Django, or AsyncIO.
• Experience developing APIs and microservices.
• Strong understanding of distributed systems.
• Experience with AWS services (EKS, ECS, Lambda, S3, RDS, Aurora, Fargate).
• CI/CD experience (Jenkins, CodePipeline, CodeDeploy, Harness).
• Proficiency with Kafka, RabbitMQ, or SQS.
• Experience with SageMaker, Kubeflow, or MLflow.
• Agile experience and strong technical leadership.

Responsibilities

• Design scalable, secure, cloud-native applications on AWS.
• Build distributed apps using Python, Flask, Django, AsyncIO.
• Design REST APIs, microservices, and event-driven architecture.
• Develop MLOps platforms using SageMaker, Kubeflow, MLflow.
• Lead cloud modernization following AWS Well-Architected principles.
• Maintain CI/CD pipelines and deployment automation.
• Integrate apps with Kafka, RabbitMQ, or SQS.
• Monitor and optimize distributed production systems.
• Perform architecture and code reviews; mentor teams.
• Collaborate with architects, PMs, and global teams.

Skills

Leadership

Communication

Agile

Distributed systems

API design

Cloud-native

Education

Bachelor's degree in Computer Science

Tools

Flask

Django

AsyncIO

Kafka

RabbitMQ

Amazon SQS

AWS SageMaker

Kubeflow

MLflow

Jenkins

EKS

Lambda

S3

RDS

Aurora

Fargate

Job description

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long Term

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid - Wed/Thursday to be in onsite in Hyderabad, India

We are seeking a Senior AI Software Engineer with deep expertise in Python, cloud-native application development, and Generative AI technologies. This role focuses on building scalable AI-powered applications, LLM integrations, Agentic AI solutions, and distributed microservices on AWS. The ideal candidate has strong experience developing production-grade APIs, integrating OpenAI or similar LLM platforms, implementing RAG pipelines, and designing highly scalable backend systems.

Key Responsibilities

• Design and develop scalable, secure, and cloud-native applications on AWS.
• Build and maintain distributed applications using Python, Flask, Django, and AsyncIO.
• Design REST APIs, microservices, and event-driven architectures.
• Develop and support MLOps platforms using AWS SageMaker, Kubeflow, or MLflow.
• Lead cloud modernization initiatives following AWS Well-Architected Framework principles.
• Design and maintain CI/CD pipelines and deployment automation.
• Integrate applications with Kafka, RabbitMQ, or Amazon SQS.
• Monitor, troubleshoot, and optimize distributed production systems.
• Conduct architecture reviews, code reviews, and mentor development teams.
• Collaborate with architects, product managers, and global engineering teams.
• Establish engineering standards, documentation, and best practices.

Required Qualifications

• Bachelor's degree in Computer Science or related discipline.
• 8+ years of software engineering experience.
• 5+ years of hands-on AWS experience.
• Experience with Flask, Django, or AsyncIO.
• Experience developing APIs and microservices.
• Strong understanding of distributed systems.
• Experience with AWS services such as EKS, ECS, Lambda, S3, RDS, Aurora, and Fargate.
• Experience implementing CI/CD pipelines using Jenkins, CodePipeline, CodeDeploy, Harness, or similar tools.
• Experience with Kafka, RabbitMQ, or Amazon SQS.
• Experience with AWS SageMaker, Kubeflow, or MLflow.
• Experience working within Agile environments.
• Strong communication and technical leadership skills.