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Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKafkaKubernetesNoSQLPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain large-scale data ingestion, transformation, and enrichment pipelines
- Build and operate distributed data processing services using Java, Python, Kafka, and related ecosystems
- Design scalable, resilient, and high-performance data architectures
- Develop and optimize data models for analytics, search, graph, and operational workloads
- Deploy and manage applications across Kubernetes-based environments
- Work with cloud-native services in AWS and/or GCP while supporting hybrid and on-premises deployments
- Partner with customers, integration teams, and solution architects to deliver successful implementations
- Monitor, troubleshoot, and optimize platform performance, reliability, and scalability
- Contribute to infrastructure automation, CI/CD processes, and platform engineering initiatives
- Travel domestically and internationally as needed for customer engagements, workshops, and deployments
Requirements
What you’ll need- 5+ years of experience in Data Engineering, Software Engineering, or Platform Engineering
- Strong programming experience in Java and/or Python
- Hands-on experience with Kubernetes and containerized applications (Docker)
- Experience working with AWS, GCP, or other public cloud platforms
- Experience supporting or operating hybrid cloud and on-premises environments
- Solid understanding of distributed systems and multithreaded applications
- Experience with SQL and NoSQL databases
- Experience building and operating production-grade data pipelines
- Strong troubleshooting and operational skills
- Excellent communication and collaboration skills
- Experience designing and operating multi-cluster Kubernetes environments
- Experience with data platforms deployed in highly regulated or air-gapped on-premises environments
- Knowledge of networking, security, and cloud infrastructure best practices
- Experience working directly with customer-facing engineering teams
Benefits
Comp & perks- Ability to travel domestically and internationally as needed for customer engagements, workshops, and deployments