TL;DR
Senior AWS+Python Engineer: Designing and scaling cloud-native solutions for financial intelligence platforms with an accent on automating infrastructure, managing scalable deployments, and ensuring stable performance under heavy data loads. Focus on AWS architecture, container orchestration, and backend services to enable high-impact outcomes for corporate and strategic initiatives.
Location: Fully Remote (Poland, CET timezone)
Company
Our Client is a leading global management consulting firm known for its work across multiple industries and large-scale enterprise organizations.
What you will do
- Build, automate, and maintain scalable AWS-based cloud environments.
- Implement Infrastructure as Code (IaC) using Terraform for reproducibility.
- Manage and optimize Kubernetes clusters for scalable microservices.
- Automate CI/CD pipelines, monitoring, and alerting.
- Configure and maintain PostgreSQL, MongoDB, and Kafka.
- Contribute to backend development in Scala and Python, including APIs, microservices, and data pipelines.
Requirements
- Strong DevOps expertise in AWS, Terraform, and Kubernetes (EKS preferred).
- Experience with databases (MongoDB, PostgreSQL) and queues (Kafka).
- Proficiency with CI/CD tools (GitHub Actions preferred).
- Hands-on experience with containerization (Docker) and Linux.
- Experience in development and debugging of JVM-based applications (Scala preferred) and Python applications.
- Familiarity with RESTful API design, microservices architecture, and data-intensive backend systems.
- Fluent English proficiency (C1+).
- Candidate must be located in Poland and work within CET timezone.
Nice to have
- Experience with cost optimization and cloud security best practices.
- Familiarity with distributed system performance tuning.
Culture & Benefits
- Work in a strategic engineering and analytics team.
- Environment encourages autonomy and technical excellence.
- Operate within a high-impact environment.
- Opportunity to learn new technologies.
- Comfort working in Agile, fast-paced environments.
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