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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, generalist title, mid-level experience and metro location drive high candidate competition.
Backend, cloud, and Kafka skills are highly transferable across industries.
Explicit 2-5 years plus extensive mandatory stack (Kotlin, Kafka, AWS, Kubernetes) increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own and enhance an export ingest service translating video and metadata into Bedrock streaming platform ingest API ensuring reliable and consistent content delivery.
Design, implement, and operate Kotlin-based backend services with complex update logic handling metadata changes, retries, idempotency, and status tracking in distributed event-driven systems.
Manage production deployment and automation tasks on AWS Kubernetes (EKS), including monitoring, incident response, and infrastructure as code (Terraform, Helm, GitLab CI/CD).
Minimum Requirements
2-5 years of relevant backend engineering experience working with distributed systems and event-driven architectures.
Proficiency in Kotlin, Spring Boot, Kafka/Kafka Streams, Avro schemas, PostgreSQL/Aurora Serverless, DynamoDB, and AWS (EKS, RDS, VPC).
Experience with Kubernetes, Helm, Terraform, CI/CD pipelines (GitLab CI/CD), Python and Shell scripting for automation.
Bachelor's degree or equivalent professional experience/coursework.
Ideal Candidate Profile
Experienced in building and operating complex data ingest pipelines within distributed event-driven systems using Kafka and cloud-native technologies.
Comfortable with end-to-end ownership of production systems including automation, monitoring, troubleshooting, and performance optimization in AWS Kubernetes environments.
Strong technical skills in backend system design, schema/version management, and resilience patterns such as retries, idempotency, and data consistency in cross-system integrations.