Job Description

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Project Description:

• Provides the research, development, evaluation, and demonstration of concepts, technologies, and capabilities to satisfy specific customer research requirements in specific areas.

• Responsible for designing, implementing, and optimizing highly available, cloud-native applications and infrastructure.
• Leverage Kubernetes and modern cloud service providers to orchestrate complex, containerized microservices at-scale.

Key Responsibilities:

Cloud Architecture & Development:

• Design and implement resilient, scalable, and cost-efficient cloud-native architectures.
• Develop and maintain robust RESTful APIs and microservices using Java (Spring Boot) or Python.
• Build, deploy, and manage containerized applications using Docker, emphasizing optimized image layering, security, and performance.
• Implement Infrastructure as Code (IaC) to automate provisioning, configuration, and management of cloud resources.
• Create interactive, data-driven dashboards and visualization tools using modern front-end frameworks such as React or Solid.

Orchestration & Data Pipelines:

• Orchestrate complex services within a Kubernetes environment, managing deployments, ingress controllers, service meshes, and stateful workloads.
• Design and implement distributed data pipelines to ingest, process, and store high-volume data efficiently.
• Ensure seamless data flow between cloud storage, microservices, and application layers while maintaining high availability.

Development & Testing of CI/CD & Reliability:

• Build and maintain automated CI/CD pipelines for rapid, reliable software delivery.
• Implement comprehensive testing strategies, including unit, integration, and cloud-readiness tests.
• Monitor system health and performance, proactively identifying and resolving bottlenecks in production environments.

Collaboration & Communication:

• Partner with data architects, DevOps teams, and product managers to align technical solutions with business objectives.
• Produce clear documentation of architectural patterns, deployment workflows, and operational procedures.

Highly Desired Skills:

• Experience with Kubernetes Operators and Custom Resource Definitions (CRDs).
• Experience with distributed streaming platforms (e.g., Kafka) and graph databases (e.g., Neo4j).
• Experience in cloud monitoring and observability tools, such as Prometheus, Grafana, or the ELK stack.
• Experience with big data processing frameworks, such as Apache Spark, is a plus.
• Experience with big data processing frameworks, such as Apache Spark, is a plus.
• Experience deploying applications in a cloud environment.
• Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
• Experience developing and deploying analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies.