What are the responsibilities and job description for the Lead Site Reliability Engineer with Java - San Antonio, Texas - W2 position at CLIECON SOLUTIONS?
Job Details
Cliecon Solutions Inc, (head quartered in central NJ ) is one of the fastest growing and a leading consulting and management firm with 12 years of experience in Staff Augmentation. We handle complete recruiting cycle for fortune 500 clients, major implementing partners and tier -1 vendors. We specialized in recruiting for Application development, Big data, Databases, Infrastructure, Cloud, Mobile and ERP based solutions projects.
Role: Lead Site Reliability Engineer with Java
Location: San Antonio, Texas
Project Tenure: 18 Month
Customer: Banking Client
Relevant Experience: 14 Years
Location: San Antonio, Texas
Project Tenure: 18 Month
Customer: Banking Client
Relevant Experience: 14 Years
Job Description:
As a Lead Site Reliability Engineer (SRE), you will leverage your extensive experience in SRE practices to maintain and enhance the reliability, performance, and scalability of mission-critical systems. You will play a crucial role in ensuring the continuous availability and optimal functioning of our services.
As a Lead Site Reliability Engineer (SRE), you will leverage your extensive experience in SRE practices to maintain and enhance the reliability, performance, and scalability of mission-critical systems. You will play a crucial role in ensuring the continuous availability and optimal functioning of our services.
Key Responsibilities:
Senior-Level SRE Expertise: Apply your deep understanding of SRE principles to lead efforts in improving system reliability and operational efficiency.
Incident Management: Provide expert-level support during incidents, ensuring swift resolution with minimal service disruption. Lead post-incident reviews to drive continuous improvement.
Monitoring & Alerting: Design, implement, and optimize monitoring, alerting, and incident
response processes. Ensure the effectiveness of these systems to proactively address potential issues.
Automation: Drive the automation of manual processes to enhance operational efficiency, reduce human error, and increase overall system resilience.
Senior-Level SRE Expertise: Apply your deep understanding of SRE principles to lead efforts in improving system reliability and operational efficiency.
Incident Management: Provide expert-level support during incidents, ensuring swift resolution with minimal service disruption. Lead post-incident reviews to drive continuous improvement.
Monitoring & Alerting: Design, implement, and optimize monitoring, alerting, and incident
response processes. Ensure the effectiveness of these systems to proactively address potential issues.
Automation: Drive the automation of manual processes to enhance operational efficiency, reduce human error, and increase overall system resilience.
CI/CD Pipeline Management: Develop, maintain, and improve automated CI/CD pipelines using tools such as GitLab CI/CD and Jenkins, ensuring seamless and reliable deployment processes.
Cross-Functional Collaboration: Work closely with cross-functional teams to ensure the
reliability, performance, and scalability of our infrastructure. Foster a culture of collaboration and knowledge sharing.
Support Across Time Zones: Provide support across all U.S. time zones, with the flexibility to work weekends, rotational shifts, and overtime as required to maintain service continuity.
Cross-Functional Collaboration: Work closely with cross-functional teams to ensure the
reliability, performance, and scalability of our infrastructure. Foster a culture of collaboration and knowledge sharing.
Support Across Time Zones: Provide support across all U.S. time zones, with the flexibility to work weekends, rotational shifts, and overtime as required to maintain service continuity.
Required Skills & Qualifications:
Java Programming: Advanced proficiency in Java, with a deep understanding of contemporary software development practices.
Kubernetes & Containerization: Extensive hands-on experience with Kubernetes, including containerization technologies like Docker and Kubernetes storage solutions such as Portworx.
Linux/Unix Systems: Strong command of Linux/Unix operating systems and Shell Scripting (BASH), with a focus on system reliability and automation.
Functional Programming: Proficiency in functional programming languages such as Prolog, Haskell, and OCaml.
Scripting & Automation: Experience with Python or Go, particularly in the context of scripting and automation tasks.
Virtualization: In-depth knowledge of VMware and other virtualization platforms, with a focus on optimizing virtual environments for reliability and performance.
Streaming Technologies: Expertise with Kafka Stream Generator, KSQLDB, cluster federation, and Spark Streams, including experience in managing and optimizing streaming data architectures.
Service Mesh & Networking: Familiarity with Istio and Anthos Service Mesh, with the ability to manage and optimize service meshes for complex environments.
Performance Monitoring & Debugging: Proficiency in using EBPF (Extended Berkeley Packet Filter) for performance monitoring and debugging.
Monitoring & Logging Tools: Experience with industry-standard monitoring and logging tools such as Splunk, Prometheus, Datadog, and Kiali.
Load Balancing: Familiarity with Nginx Controller and Seesaw for effective load balancing and traffic management.
Infrastructure-as-Code (IaC): Competence in using Terraform for managing cloud infrastructure, ensuring consistency and scalability across environments.
Java Programming: Advanced proficiency in Java, with a deep understanding of contemporary software development practices.
Kubernetes & Containerization: Extensive hands-on experience with Kubernetes, including containerization technologies like Docker and Kubernetes storage solutions such as Portworx.
Linux/Unix Systems: Strong command of Linux/Unix operating systems and Shell Scripting (BASH), with a focus on system reliability and automation.
Functional Programming: Proficiency in functional programming languages such as Prolog, Haskell, and OCaml.
Scripting & Automation: Experience with Python or Go, particularly in the context of scripting and automation tasks.
Virtualization: In-depth knowledge of VMware and other virtualization platforms, with a focus on optimizing virtual environments for reliability and performance.
Streaming Technologies: Expertise with Kafka Stream Generator, KSQLDB, cluster federation, and Spark Streams, including experience in managing and optimizing streaming data architectures.
Service Mesh & Networking: Familiarity with Istio and Anthos Service Mesh, with the ability to manage and optimize service meshes for complex environments.
Performance Monitoring & Debugging: Proficiency in using EBPF (Extended Berkeley Packet Filter) for performance monitoring and debugging.
Monitoring & Logging Tools: Experience with industry-standard monitoring and logging tools such as Splunk, Prometheus, Datadog, and Kiali.
Load Balancing: Familiarity with Nginx Controller and Seesaw for effective load balancing and traffic management.
Infrastructure-as-Code (IaC): Competence in using Terraform for managing cloud infrastructure, ensuring consistency and scalability across environments.
Additional Requirements:
Flexibility: Willingness to work weekends, rotational shifts, and provide 24/7 support as necessary to maintain service reliability and meet project deadlines.
Flexibility: Willingness to work weekends, rotational shifts, and provide 24/7 support as necessary to maintain service reliability and meet project deadlines.
Certifications Required:
Kubernetes
Azure
Kubernetes
Azure
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