Number of Applicants
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About
The Company:
What makes iLink
Systems' offerings unique is the fact that we use
pre -created frameworks, designed to accelerate software
development and implementation of business processes for our
clients. iLink has over 60 frameworks (solution accelerators),
both industry -specific and horizontal, that can be easily
customized and enhanced to meet your current business
challenges.
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).
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