Lead Site Reliability Engineer

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.

• 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.

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