Cloud-Native Test Infrastructure Engineer

TechDigital Group; United States; On-site; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a skilled Test Infrastructure Engineer to enhance their software quality and development processes. This role involves leveraging your expertise in programming languages like Golang and Python, along with your experience with CI/CD pipelines and cloud platforms. You will be responsible for building scalable solutions and automating processes, ensuring that developers can efficiently iterate on their ideas. If you have a passion for quality software and a knack for identifying gaps in processes, this opportunity is perfect for you to make a significant impact in a dynamic environment.

Qualifications

• Proven experience in test infrastructure engineering or similar role.
• Strong analytical, communication, and organizational skills.

Responsibilities

• Expertise in deploying, operating, and maintaining enterprise-level software.
• Passion for building quality software to enable developer iteration.

Skills

Test automation frameworks

DevOps

GitHub

Golang (Go)

Python

Ruby

Rust

Tools

CI/CD pipelines

AWS

Azure

Google Cloud

Job description

Role Overview
We are seeking a highly experienced Senior Big Data / AWS Administrator with 10+ years of hands-on experience in managing large-scale distributed systems. The ideal candidate will have deep expertise in AWS cloud infrastructure, Hadoop ecosystem, and Kafka administration, ensuring high availability, scalability, and performance of enterprise data platforms.
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Key Responsibilities
Cloud & Infrastructure (AWS)
• Design, deploy, and manage scalable, secure, and highly available infrastructure on AWS.
• Administer core AWS services: EC2, S3, EMR, EKS, IAM, VPC, CloudWatch, Lambda.
• Implement automated infrastructure provisioning using Infrastructure as Code (Terraform/CloudFormation).
• Optimize cost, performance, and reliability of cloud environments.
• Develop disaster recovery and backup strategies.
Big Data Platform Administration (Hadoop)
• Install, configure, tune, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark).
• Monitor cluster health, performance, and capacity planning.
• Troubleshoot cluster issues and ensure high availability using HA configurations (NameNode HA, etc.).
• Manage data ingestion and processing workflows.
Streaming Platform Administration (Kafka)
• Install, configure, and manage Apache Kafka clusters.
• Ensure high throughput, low latency, and fault-tolerant streaming systems.
• Manage topics, partitions, brokers, and retention policies.
• Perform Kafka cluster scaling, upgrades, and performance tuning.
• Implement monitoring using tools like Prometheus, Grafana, or Confluent Control Center.
System Operations & Monitoring
• Implement monitoring, logging, and alerting for all systems.
• Conduct root cause analysis and performance tuning.
• Ensure system security, access controls, and compliance standards.
• Maintain detailed documentation and operational runbooks.
Automation & DevOps
• Build CI/CD pipelines for infrastructure and platform deployments.
• Automate routine administrative tasks using scripting (Python, Shell, etc.).
• Collaborate with DevOps and engineering teams for platform improvements.
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Required Skills & Qualifications
Experience
• Minimum 10+ years of experience in system administration, with at least 5+ years in big data and cloud environments.
• Proven experience managing large-scale Hadoop clusters and Kafka environments.
• Strong hands-on experience with AWS cloud platform.
• Agentic AI experience

Technical Skills
• AWS services: AWS Administration, EC2, S3, EMR, IAM, VPC, CloudWatch, Lambda
• Big Data : Administration, Hadoop, HDFS, Hive, Spark,
• Kafka Administration