Posted at: 27 February
Senior Integration & Cloud Engineer (AWS / Kafka / MQ)
Company
Coderio is a remote-first B2B tech company specializing in IT staff augmentation and scalable digital solutions for global businesses.
Remote Hiring Policy:
Coderio is a remote-first company that values talent regardless of location, hiring from various regions to support a collaborative international team.
Job Type
Full-time
Allowed Applicant Locations
Worldwide
Job Description
About Coderio:
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture through execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that creates real impact.🌍 More information: http://coderio.com
We are looking for a Senior Integration & Cloud Engineer with strong experience in AWS and event-driven architectures, capable of designing, building, and operating scalable, secure, and resilient integration platforms in high-availability production environments. The ideal candidate must have experience with Kafka (Amazon MSK) and IBM MQ, developing microservices on Kubernetes (EKS), and a strong command of event-driven patterns, idempotency, error handling, and secure integrations, along with solid observability and monitoring practices using CloudWatch, Prometheus, and Grafana.
What you can expect from this role (Responsibilities)
Design, build, and maintain event-driven architectures using Kafka (Amazon MSK) and IBM MQ. Develop and deploy microservices on Kubernetes (EKS) to enable secure and scalable integrations. Implement robust integration patterns, including idempotency, error handling, retry strategies, and secure messaging flows. Ensure the reliability, scalability, and high availability of the platform in production environments. Establish and maintain strong observability practices (monitoring, logging, metrics, and alerting) using CloudWatch, Prometheus, and Grafana. Collaborate with technical and business teams to design solutions aligned with functional and technical requirements.
Requirements
+5 years of experience designing and operating event-driven architectures on AWS.
+5 years of hands-on experience with Kafka (Amazon MSK) and integration with IBM MQ.
+5 years of experience developing and deploying microservices on Kubernetes (EKS).
+5 years of experience working with AWS services such as SQS, DynamoDB, S3, Aurora PostgreSQL, and OpenSearch.
+5 years of experience implementing robust integration patterns (idempotency, error handling, secure messaging, approval workflows).
+5 years of experience ensuring observability and monitoring using CloudWatch and/or Prometheus/Grafana.
+5 years of experience operating solutions in high-availability production environments.
C1/C2 level of English
Nice to Have
Experience in financial systems, payments, or regulated environments.
Knowledge of ISO 20022, advanced experience with IBM MQ, or Kafka schema management (Schema Registry).
Benefits
● 100% remote
● Long-term commitment, with autonomy and impact
● Strategic, high-visibility role within a modern engineering culture
● Collaborative international team and strong technical leadership
● Career plan with growth and leadership opportunities with in Coderio
Why join Coderio?
At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaborative work, and fair compensation. We offer aninclusive, challenging environment with real opportunities for growth. If you are motivated by building impactful solutions, we are waiting for you. Apply now.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.