DevOps/MLOps or Cloud Engineer
1 week ago
Description:
- Seeking an experienced DevOps/MLOps or Cloud Engineer with a strong background in deploying, managing, and securing distributed applications across multiple environments (AWS, GCP, Azure, and on-prem).
- Hours: 8:30am - 5pm CST
- Proficient in container orchestration (Kubernetes), configuration management, and security frameworks, with deep knowledge of ABAC and RBAC implementations.
- Knowledge on secupi a big advantage
- Experience with data storage, messaging, and big data tools such as MongoDB, Kafka, Zookeeper, and Flink is also essential.
- Cloud Platforms
- AWS, GCP, Azure: Experience provisioning and configuring services like compute, storage, networking, and managed databases.
- On-Prem Deployments: Proficiency in deploying applications on-prem, including managing custom configurations and integrations for on-prem solutions.
- Container Management: Knowledge of Kubernetes (especially OpenShift's specific implementations) for container orchestration and scaling.
- Containerization & Orchestration
- Kubernetes: Deep understanding of managing multi-node clusters, setting up namespaces, services, and networking (Load Balancers, Ingress).
- Docker: Familiarity with building, managing, and troubleshooting containerized applications.
- Ingress Controllers: Skills in configuring Ingress for secure and efficient traffic management, especially in cloud and OpenShift environments.
- Data Storage and Messaging Systems
- Kafka: Knowledge of Kafka clusters, topic management, consumer groups, and replication for high availability.
- MongoDB: Experience in managing MongoDB databases, especially in clustered setups with replica sets for resilience.
- Zookeeper: Understanding of Zookeeper's role in managing distributed systems, particularly for coordinating Kafka and Flink jobs.
- Persistent Volumes: Proficiency in configuring Persistent Volumes, including limitations and access modes like ReadWriteMany and ReadWriteOnce (especially on cloud-specific storage like Azure StorageClasses).
- Security and Access Control
- ABAC and RBAC: Hands-on experience in implementing Attribute-Based and Role-Based Access Controls to manage complex permissions across resources (can be taught).
- Data Encryption: Knowledge of encryption mechanisms for data at rest and in transit, particularly in compliance with standards.
- Secrets Management: Familiarity with tools like HashiCorp Vault or Kubernetes Secrets for secure storage and access to sensitive information.
- DevOps Toolchain and Infrastructure as Code (If needed)
- Infrastructure as Code (IaC): Proficiency with Terraform, Helm, or Ansible for consistent provisioning and configuration across multiple environments.
- CI/CD Pipelines: Familiarity with Jenkins, GitLab CI, or similar tools for automating deployment and testing processes, especially with complex multi-cloud setups.
- Monitoring and Logging: Experience with monitoring (Prometheus, Grafana) and logging (ELK/EFK stacks) for proactive issue resolution and system observability.
- Big Data and Stream Processing
- Flink: Skills in deploying, managing, and monitoring Flink jobs, especially within a Kubernetes environment, to ensure efficient data processing.
- Troubleshooting and Maintenance
- Issue Diagnosis: Strong troubleshooting skills, especially with Kubernetes resources, storage issues (e.g., PVC access limitations), and certificate configurations.
- System Health and Performance Monitoring: Capability to identify bottlenecks and optimize performance for distributed components like Kafka, Flink, and MongoDB.
- Networking: Knowledge of networking concepts, including load balancing, DNS, and network security, is critical for handling traffic routing and managing ingress/egress securely.
- Soft Skills
- Collaboration and Communication: Ability to work effectively in cross-functional teams, manage stakeholder expectations, and document configurations and deployment processes.
- Adaptability: Willingness to learn new tools and adapt to the latest technologies in the fast-evolving cloud and DevOps landscape.
- With these skills, a professional should be well-equipped to handle the deployment, scaling, and security requirements of a complex, multi-cloud ABAC/RBAC-enabled platform
Benefits:
Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics.
Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.
Vision Insurance : Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st.
Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification.
Synectics is an equal opportunity employer.
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