Sky Systems, Inc. (SkySys)
Website:
myskysys.com
Job details:
Role: Senior Software Engineer
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.
- Strong Python development 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.
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