Staff SRE at Insulet managing teams to ensure system reliability and scalability. Driving best practices in Site Reliability Engineering with a focus on automation and modern technologies.
Responsibilities
Provide technical guidance and mentorship to the SRE team.
Drive the implementation of best practices in reliability, scalability, and performance.
Lead by example, demonstrating excellence in technical skills and problem-solving.
Collaborate with cross-functional teams to design scalable, resilient, and efficient systems.
Architect and implement infrastructure solutions that meet the requirements of high availability and performance.
Drive the adoption of modern technologies and tools to improve system reliability and efficiency.
Develop and maintain automation tools for provisioning, deployment, and monitoring.
Automate routine tasks to improve operational efficiency and reduce manual intervention.
Design and implement monitoring solutions to proactively identify issues and prevent service disruptions.
Lead incident response efforts, conducting post-mortem analysis, and implementing measures to prevent recurrence.
Develop & Automate runbooks and playbooks to streamline incident resolution processes.
Conduct capacity planning exercises to ensure systems can handle current and future loads.
Identify performance bottlenecks and optimize system performance through tuning and optimization efforts.
Collaborate with development teams to design and implement scalable architectures.
Document system architectures, configurations, and procedures.
Promote knowledge sharing within the team through technical presentations, workshops, and documentation.
Requirements
Bachelor’s in computer science, Engineering, or a related field.
9+ years of experience in the field including 5+ Site Reliability Engineering, DevOps, or a similar role.
Proven experience architecting and managing highly available, scalable, and fault-tolerant systems.
Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).
In-Depth knowledge of AWS services including VPC, Lambda, IAM, ELB, EC2, ECS, CloudWatch, API Gateway, S3, SQS, SNS, WAF, X-Ray, and Route53 or GCP services including VPC, Cloud Functions, IAM, Cloud Load Balancing, Compute Engine, Google Kubernetes Engine (GKE), Stackdriver, API Gateway, Cloud Storage, Pub/Sub, Firebase Cloud Messaging, Cloud Armor, Cloud Trace, Cloud DNS
Experience with infrastructure as code tools such as Terraform, Ansible, or similar.
Excellent troubleshooting and problem-solving skills.
Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams.
Experience leading and mentoring engineering teams is highly desirable.
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