What you will do: (Roles & Responsibilities)

- Design and implement complex cloud-based solutions using AWS services (Lambda, S3, SQS FIFO, Step Functions, DynamoDB, Bedrock, Secrets Manager, SNS, CloudWatch, SageMaker)

- Build and maintain secure API and integration workflows for Jenkins, Bitbucket Server REST APIs, and internal operational tooling

- Write, test, and maintain high-quality Python code for cloud-native and serverless applications

- Design and optimize data models and access patterns, particularly for DynamoDB and S3 job artifact/state flows

- Collaborate with cross-functional teams (Product, DevOps, Security, platform teams) to deliver architecture-aligned solutions

- Ensure security, compliance, and best practices in cloud infrastructure (OAuth2, IAM least privilege, secrets management, TLS)

- Troubleshoot and resolve complex technical issues in distributed cloud environments (async job orchestration, retries, failure handling, network integration)

- Mentor junior engineers and contribute to engineering standards, design reviews, and team technical growth

- Stay up-to-date with AWS GenAI, serverless architecture, and enterprise integration best practices

What you need to succeed: (MUST Haves)

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

- 4-6 years of experience in cloud engineering, with a strong focus on AWS

- Strong hands-on experience with Python, AWS APIs, and backend service development

- Robust hands-on experience delivering GenAI/LLM solutions in production, with focus on AWS Bedrock

- Strong knowledge of database systems, particularly DynamoDB and cloud data design patterns





- Hands-on experience in AWS services used by this platform (Lambda, Step Functions, S3, SQS, DynamoDB, Bedrock, Secrets Manager, CloudWatch)

- Proven expertise in prompt engineering, LLM output validation, and reliability patterns (retries, guardrails, fallback handling)

- Strong understanding of event-driven and asynchronous architectures, including idempotency, retries, and queue-based decoupling

- Proven experience with REST API integrations in enterprise environments (Bitbucket/Jenkins-like integrations preferred)

- Excellent problem-solving and analytical skills

- Strong communication and collaboration abilities

Ideal Candidate will also have:

- Experience with containerization technologies (for example, Docker, Kubernetes)

- Knowledge of CI/CD pipelines, Terraform, and DevOps practices

- Familiarity with serverless architectures and microservices

- Experience with observability and operations (CloudWatch logging, alerts, dashboards, structured audit trails)

- Understanding of machine learning and AI concepts, including prompt quality and LLM output validation

- Experience with AWS Bedrock integration patterns in production use cases

- AWS certifications (for example, Solutions Architect, Developer, DevOps Engineer) are a plus

- Experience mentoring junior engineers or leading small teams

- Strong project management skills and ability to manage multiple priorities across DEV, SIT, and PROD environments

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Benefits:

- Health insurance
- Provident Fund

Application Question(s):

- Current CTC & Notice period?

Experience:

- Python: 5 years (Preferred)
- Gen AI: 2 years (Preferred)
- AWS: 4 years (Preferred)

Work Location: In person

📌 Sr. Python Developer (India)
🏢 Dinero Solutions
📍 India