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AWS Solutions Expert

Role Type:

Full-time

Location:

Hyderabad

We are seeking an AWS Solutions Expert with an experience of 5 years and above to architect, build, and secure highly scalable, distributed serverless applications. You will own design decisions, drive best practices for identity and access management, data persistence, container orchestration, and automated delivery pipelines. Exposure to large language models and multi-agent systems is a strong plus. Prior experience in leading small teams is desired.

Qualifications

  • Masters/Bachelor’s degree in Computer Science, Engineering, or related field.

  • 5+ years of hands‑on experience designing and implementing AWS  solutions.

  • Deep expertise in:

    • Serverless services (Lambda, API Gateway, EventBridge, SQS/SNS)

    • Container orchestration (EKS/Kubernetes)

    • Relational databases (RDS, Aurora)

    • AWS IAM, security controls, encryption, network isolation

  • Proven track record building CI/CD pipelines with GitHub Actions  and automated testing frameworks.

  • Strong scripting skills (Python, Node.js, or similar).

  • Excellent communication, documentation, and leadership abilities.

  • Exposure to large language models (e.g., OpenAI, Anthropic) and  multi-agent architectures.

  • Experience with CDK, Terraform, or Serverless Framework.

  • Familiarity with observability tools: Prometheus, Grafana, CloudWatch.

  • AWS certifications (Solutions Architect Professional, DevOps Engineer).

Responsibilities

  • Architecture & Design

    • Lead solutioning for distributed, serverless workloads on AWS (Lambda, API Gateway, EventBridge, SQS, SNS).

    • Design resilient, secure, and cost-optimized architectures using RDS, DynamoDB, Aurora Serverless, and EKS.

  • Security & IAM

    • Develop and enforce AWS IAM policies, least-privilege roles,  Service Control Policies, and SCPs.

    • Implement security best practices (VPC design, KMS encryption, AWS  WAF,  Security Hub).

  • Infrastructure Automation

    • Build and maintain CI/CD pipelines using GitHub Actions and  Workflows.

    • Author Infrastructure-as-Code (IaC) with CloudFormation, Terraform  or CDK.

    • Integrate automated testing (unit, integration, security scanning) nto deployment pipelines.

  • Operational Excellence

    • Monitor, troubleshoot, and optimize performance of serverless functions and container clusters.

    • Implement logging and observability using CloudWatch, X-Ray, Prometheus, Grafana.

  • Innovation & Collaboration

    • Stay current on AWS feature releases; evaluate and adopt new  services.

    • Partner with product, data science, and ML engineering  teams—especially those building LLM-driven and multi-agent solutions.

    • Mentor junior engineers and share knowledge through documentation and tech talks.

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