LivePerson is looking for a Devops Engineer III/Senior Site Reliability Engineer for the GPT (Global Product & Technology) Division. You will be part of the LivePerson SRE team building and managing highly available, distributed systems. You will have the opportunity to be part of a strong team and enjoy the work environment of a start-up, with a robust product and the benefits of a leading company in its field. As a Senior Site Reliability Engineer at our team, you will be responsible for designing, implementing, and maintaining the infrastructure and systems that power our applications and services. Collaborating closely with cross-functional teams, you will drive operational excellence, automate processes, and continuously improve system reliability.

In Short

Lead a team to ensure product high uptime and reliability 24x7.
Design, build, and maintain scalable infrastructure across cloud and on-prem environments.
Architect and implement automated solutions to provision, monitor, and scale complex infrastructures.
Give technical leadership and support to your team and stakeholders.
Hands-on with day-to-day operations of cloud environments, Kubernetes platform, and security/compliance.
Develop automation scripts, maintain CI/CD pipelines, and plan for scalability.
Ensure system reliability, availability, and performance through monitoring and incident response.
Participate in on-call rotations for 24/7 support.
Lead post-incident reviews and identify systemic improvements.
Establish metrics for tracking incident frequency and resolution effectiveness.

Requirements

Minimum 7+ years of experience managing cloud-based production environments (AWS, GCP, etc).
Strong verbal and written communication skills.
Solid hands-on experience and understanding of system architecture.
Highly experienced in Linux, scripting in Bash/Python.
Experience with configuration management systems like Puppet, Chef, Ansible.
Strong experience in Terraform, CloudFormation, or other IAC.
Experience in SQL and managing SQL/NoSQL databases.
Experience with Kubernetes and Helm.
Experience in microservices architecture using message buses like Kafka.
Experience in monitoring systems like Grafana, Prometheus, DataDog.
Good knowledge of CI/CD pipeline orchestrators like Jenkins.
Highly motivated and independent team player.
BS in Computer Science or equivalent work experience.
Strong background in cloud, network, and application security.
Experience with GPT or other LLMs is a strong advantage.

Benefits

Health: medical, dental, vision, and wellbeing.
Time away: 15 days PTO, public holidays, 5 care days, and 10 sick days.
Financial: ESPP, life insurance, long-term and short-term disability.
Family: parental leave, maternity support, fertility services.
Development: tuition reimbursement and access to professional development resources.
Additional: Health Service Navigator, counseling services.