AWS Data engineer - Glue , S3 , terraform , airflow , redshift , Athena , lambda

Python , SQL

Pyspark

Minimum Qualifications
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software testing, with a strong focus on automated testing and quality assurance in complex applications.
• Demonstrated experience building testing frameworks and strategies for largescale ,high-availability systems, preferably in the gaming or casino industry.
• Proficiency in programming languages such as JavaScript/ TypeScript, with hands on experience in developing automated test scripts.
• Strong knowledge of modern testing tools and frameworks (e.g., Playwright) and CI/CD tools (e.g., GitHub Actions).
• In-depth understanding of testing methodologies, including Agile, TDD (Test-Driven Development), and BDD (Behavior-Driven Development).
• Experience with performance testing tools (e.g., Artillery, JMeter) and security testing tools (e.g., OWASP ZAP, Burp Suite).
• Familiarity with cloud platforms (AWS) and DevOps practices to enhance automation and deployment processes.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Strong interpersonal skills with the ability to communicate electively and interact appropriately with management, other Team Members and outside contacts of diluent backgrounds and levels of experience.

Skills

Mandatory Skills : Playwright Java testing

Automation Developing software to automate manual operational tasks eg deployment configuration to reduce errors.

Monitoring ing Creating and managing tools to monitor system health performance and capacity eg logging metrics dashboards.

Incident Management Participating in on call rotations to resolve critical production level issues and performing post incident reviews postmortems to prevent recurrence.

System Optimization Improving system scalability security and performance through system design reviews and capacity planning.

Collaboration Working with development teams to ensure software is designed for production reliability including setting and maintaining Service Level Objectives SLOs and Service Level Indicators SLIs.

Coding Scripting Proficiency in languages such as Python Go Ruby Java or Shell scripting.

Systems Engineering Strong understanding of Linux Unix operating systems networking and distributed systems.

Cloud Platforms Experience with cloud providers like AWS Google Cloud Platform GCP or Azure.

DevOps Tools Knowledge of CICD pipelines Infrastructure as Code IaC tools eg Terraform Ansible and containerization e.g. Kubernetes Docker.

Problem Solving Strong analytical skills for debugging troubleshooting and root cause analysis.

SREs are in effect software engineers focused on the reliability of production systems balancing the need for rapid feature releases with the stability of the platform.

Skills

Mandatory Skills : Reliability Patterns

8+ years demonstrated experience in developing web applications using two or more of these technologies - Java, J2EE, Servlets, Spring, Spring MVC, Spring JDBC, database interactions, and related testing tools/methodologies.

Hands on experience with Java 11/17, Spring, Springboot, MQ, Kafka, APIs development, cloud (Azure)

5+ years demonstrated experience in requirement analysis and application design.

RESTful APIs, Springboot, Mi…

Required Expertise

• 10+ years of software engineering experience
• 7+ years of web development experience
• 7+ years React
• 5+ years TypeScript
• 5+ years GraphQL
• 5+ years Redux
• 5+ years in automated testing / BDD
• 3+ years of cloud infrastructure experience
• 3+ years experience with Agile methodologies

Deep expertise in modern JavaScript/TypeScript build tools - You should be comfortable diving into Webpack internals, writing custom plugins, and optimizing build performance at scale

Production experience with React and Module Federation

Strong GraphQL knowledge