Java Developer
SRI Tech Solutions Inc.
- Vancouver, British Columbia, Canada
- Vancouver, British Columbia, Canada
Über
Location: Canada.
Full time
Primary Skills (Must have)
Core Java
RESTful APIs and microservices
Docker containerization & Kubernetes manifestation
Helm Chart for deployment
SQL/NoSQL
Terraform or Ansible
Experience in working on cloud platforms AWS or Azure
Responsibilities include:
Design, develop, and maintain backend code using Java, Python programming languages.
Develop and manage RESTful APIs and microservices.
Containerize applications using Docker and create/manage Kubernetes manifests and Helm charts for deployment.
Deploy, manage, and scale applications within Kubernetes clusters on cloud platforms AWS, Azure, and customer's on-prem environments.
Implement and manage CI/CD pipelines for automated builds, testing, and deployments.
Design and interact with databases (SQL and NoSQL) ensuring optimal performance and data integrity.
Monitor application and cluster health using tools like Prometheus, Grafana, and ELK stack; troubleshoot and resolve issues promptly.
Implement and enforce security best practices for applications and infrastructure within the Kubernetes environment.
Optimize applications for maximum speed, scalability, and resilience.
Stay current with emerging cloud-native technologies and Kubernetes best practices.
Contribute to infrastructure-as-code initiatives using tools like Terraform or Ansible.
Participate in code reviews and advocate for high-quality coding standards.
Required Education and Skills
BS or MS in Computer Science or related Engineering discipline
Proven experience delivering software applications
Solid understanding of how to build publicly exposed APIs
Familiarity with CI/CD principles and tools technologies: Jenkins and GitLab Runner
Must be self-motivated but be able to work well in a team environment
Team player; willing to coach junior team members and cooperate on cross-functional problem solving
Experience with Cloud and SaaS Development: Azure, AWS, Docker, Kubernetes.
Working in an Agile development environment
Desired Experience
Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible).
Understanding of networking concepts in Kubernetes.
Experience with serverless computing.
Distributed Computing: distributed job orchestration on Kubernetes, parallel execution patterns, backpressure, sharding/partitioning, fault tolerance, checkpointing; frameworks (Ray/Spark/Dask) if applicable. We are mostly interested in Ray
Implemented Kafka-based message-driven services and event-driven autoscaling on Kubernetes using KEDA (consumer-group scaling, DLQ/error handling, and scaling policies with performance/cost guardrails).
Sprachkenntnisse
- English
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