DEVOPS ENGINEER

Summary

Build and maintain AWS serverless pipelines: Glue ETL, Lambda integrations, DynamoDB writes, API Gateway endpoints, and CI/CD with CDK and Git.

Operate and optimize Glue ETL pipelines, including initial loads and daily delta processing, and maintain Glue Catalog metadata, schemas, and Parquet structures.
Ensure accurate delta detection using updated_at logic and manage efficient write operations to DynamoDB, including configuration of DynamoDB Streams, retry handling, DLQs, and throughput tuning.
Maintain Lambda‑based integrations that distribute EULA changes to downstream systems (iPaaS, GIS, Service Center, internal APIs) and support SQS, EventBridge, or Kafka delivery pipelines, including topic/rule configuration and monitoring.
Manage REST endpoints in AWS API Gateway used for querying mapping data, including authentication, authorizers, throttling, and optional mTLS.
Implement secure outbound API calls using mTLS, handling client certificates, Secrets Manager storage, and certificate rotation.
Operate CI/CD workflows using Git and AWS CDK, and build, test, and deploy Python and Node.js functions used across ETL and integration layers.
Configure CloudWatch dashboards, alarms, and metrics, and maintain system‑level monitoring for all components.
Provide operational support, troubleshooting, and incident response during both hypercare and BAU phases.

Successful completion of higher education as a qualified IT specialist or similar.
You have min. 2 years as DevOps Engineer
Strong experience with AWS Serverless services, including Lambda, DynamoDB, EventBridge, SQS, API Gateway, and CloudWatch.
Solid data engineering skills with AWS Glue (Spark and Python Shell), Glue Catalog, S3 Parquet, and messaging services such as SNS or SES.
Hands‑on experience with integration technologies such as Kafka (MSK or external), REST APIs, mTLS mutual authentication, and handling pagination.
Proficiency in Python for ETL and Lambda development, and Node.js for integration logic.
Practical knowledge of infrastructure‑as‑code and source control using AWS CDK, Git, and CI/CD pipelines.
Strong understanding of AWS security components including IAM, KMS, Secrets Manager, VPC networking, and certificate management.
Ability to debug distributed systems, analyze logs, handle DLQ replays, and design effective retry strategies.
Comfortable collaborating with Data Lake teams, downstream system owners, and governance stakeholders.
Fluent communication skills in English and Polish.
Availability to work in a hybrid mode with at least 1 visit in the office per month.