Senior AWS Cloud Engineer

As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.

• Bachelor’s or master’s degree in CS, Engineering, IT, or a related field.
• Very good knowledge of English and Polish.
• Experience designing and operating scalable, reliable cloud platforms on AWS.
• Strong background in cloud infrastructure, networking, and security for shared platform environments.
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK) and automation.
• Experience with monitoring, cost optimization, and operational excellence in AWS.
• Availability to work in a hybrid mode with at least 2 visits to the office per month.

Cloud Platform Architecture:

• Design and implement scalable, reliable cloud infrastructure on AWS.

Infrastructure as Code Development:

• Build and maintain infrastructure automation using Terraform, CloudFormation, or CDK.
• Ensure infrastructure is version-controlled, reusable, and follows best practices.

Security and Compliance Implementation:

• Design, implement, and maintain security controls, IAM policies, and network architectures ensuring compliance requirements are met and platforms remain secure.

Monitoring and Operational Excellence:

• Establish observability frameworks, monitoring systems, and alerting mechanisms.
• Optimize cloud costs and address any issues that may affect platform reliability or performance.

Cross-Team Collaboration and Enablement:

• Work closely with data, application, and DevOps teams to understand requirements and provide platform capabilities.
• Enable teams through documentation, tooling, and shared services.

Consulting and Strategy:

• Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements.

Client Interaction:

• Work closely with clients to understand their business needs and technical requirements.
• Translate these requirements into effective data engineering solutions.