Cloud Infrastructure Specialist

5 days ago


Gurgaon, Haryana, India Maxcurve Technologies Full time

Job Title: Cloud Infrastructure Specialist

About Us

Maxcurve Technologies is a technology-driven company that leverages the power of cloud computing to deliver innovative solutions to businesses. Our team of experts is passionate about building resilient systems and staying updated on the latest AWS advancements.

Job Description:

We are seeking an experienced Cloud Infrastructure Specialist to join our team. As a key member of our engineering department, you will be responsible for designing, deploying, and optimizing secure, scalable cloud infrastructure using AWS services. You will collaborate with cross-functional teams to build robust solutions aligned with business goals, focusing on automation, security, and performance.

Responsibilities:

  • Develop and implement applications using API Gateway, Lambda, and AWS networking services (VPC, Route 53, CloudFront) ensuring integration with AWS services.
  • Configure authorization mechanisms (IAM, Cognito, Lambda Authorizers) and enforce least-privilege access policies.
  • Build CI/CD pipelines (AWS CodePipeline, Jenkins, GitLab CI) for automated deployments and infrastructure management.
  • Implement observability solutions (CloudWatch, Prometheus) for monitoring, logging, and troubleshooting.
  • Optimize network configurations (security groups, NACLs, VPNs) for latency, throughput, and cost efficiency.
  • Collaborate with DevOps teams to streamline workflows and adopt Infrastructure as Code (Terraform, AWS CDK).

Must-Have Skills:

  • Proficiency in Python scripting for AWS Lambda, Boto3, and automation tasks.
  • Hands-on experience with API Gateway (REST APIs) and Lambda function design.
  • Expertise in authorization frameworks (OAuth, JWT, IAM policies, custom Lambda authorizers).
  • Strong knowledge of networking (VPC, subnets, DNS, load balancing) and security best practices.
  • Experience with CI/CD tools (AWS Code*, Jenkins, GitHub Actions) and GitOps principles.
  • Familiarity with observability tools (CloudWatch, Datadog, OpenTelemetry).

Good-to-Have Skills:

  • Experience with Glue (ETL pipelines), S3 (data lakes, versioning), and Step Functions/Airflow (workflow orchestration).
  • Knowledge of Athena (querying S3 data) and Iceberg (transactional data tables).
  • Exposure to containerization (Docker, ECS, EKS) and IaC (Terraform, CloudFormation).

Qualifications:

  • 5+ years of AWS cloud engineering experience.
  • AWS certifications (e.g., Solutions Architect, DevOps Engineer).
  • Strong problem-solving skills and ability to troubleshoot distributed systems.
  • Excellent communication skills for cross-team collaboration.


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