Sr Observability Engineer (SRE)

1 Day ago • 5 Years +

Job Summary

Job Description

As a Site Reliability Engineer (SRE), you will be embedded within the development team to ensure system reliability, scalability, and performance. Your responsibilities include designing and implementing solutions to improve system reliability, owning operational metrics, developing monitoring and alerting, and collaborating with teams for capacity planning and performance optimization. The role requires participation in on-call rotations and incident management, as well as troubleshooting and documentation of systems and processes. This role requires at least 5 years of experience.
Must have:
  • 5+ years of SRE experience
  • Understanding of SRE principles and practices
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency in scripting languages (e.g., Python)
  • Experience with monitoring and logging tools (e.g., Prometheus)
  • Experience with containerization and orchestration technologies (e.g., Kubernetes)
  • Understanding of network protocols, and security best practices
  • Experience with DevOps culture and practices and experience with CI/CD toolchains
  • Experience with Incidence Response processes and config management tools (PagerDuty, Git)
  • Strong problem-solving and troubleshooting skills
  • Excellent communication and collaboration skills
Good to have:
  • Experience with Kafka, relational databases
  • Experience with Grafana K6 – Continuous Performance Tool
  • Experience with Infrastructure as Code (IaC) tools (e.g., Terraform)

Job Details

We are seeking a highly motivated and experienced Site Reliability Engineer (SRE) to join our [Team Name] software development team. This is an embedded role, meaning you will be a full member of the development team, working closely with software engineers, infrastructure platform services, engineering managers, and other stakeholders to ensure the reliability, scalability, and performance of teams’ services. You will be responsible for leveraging the infrastructure, tooling, and processes that support our applications in dev and production, as well as participating in on-call rotations. This role offers a unique opportunity to directly influence the design and architecture of our systems from a reliability and performance perspective.

Responsibilities:

Work with the developments and service owners at the intersection of development and operations to solve performance issues and ensure system scalability.

  • Reliability Engineering: Design, develop, and implement solutions to improve the reliability, availability, performance, and scalability of our systems. Work with technical leaders and infrastructure platform services to develop alerts and dashboards.
  • Operational Excellence: Own and improve key operational metrics (SLIs, SLOs, Error Budgets, monitoring and alerting) for team related services and drive continuous improvement through post-incident reviews and blameless postmortems of non-functional issues. Develop and maintain comprehensive monitoring, alerting to proactively identify and resolve issues. ConductCreate and maintain dashboards and , conducting ongoing reviews to address and optimize gaps. Improve operational processes and improve operational processes and team practices, working with technical leaders and NOC team.
  • Monitoring and Alerting: Develop and maintain comprehensive monitoring, alerting to proactively identify and resolve issues.
  • Capacity Planning: Collaborate with technical leads, DevOps/SRE and infra teams to forecast capacity needs and ensure sufficient resources are available to support growth.
  • Performance Optimization: Collaborate with performance SMEs to identify and address production performance bottlenecks through profiling, tuning, and optimization of services and infrastructure.
  • Automation: Automate repetitive tasks and processes to improve efficiency and reduce manual intervention.
  • Collaboration: Work closely with Software, Performance and Test Engineers to influence system design and architecture for operability and reliability.
  • Documentation: Create and maintain clear and concise documentation for systems, processes, runbooks, and procedures.
  • On-Call: Participate in on-call rotation.
  • Incident Management: Participate in on-call rotations and lead incident response efforts, ensuring timely resolution and effective communication.  Conduct in-depth incident analysis and help drive completion of post-incident action.
  • Troubleshooting skills: Excellent diagnostic and problem-solving skills, with the ability to analyze complex systems and data

Qualifications:

  • Bachelor’s degree in computer science, a related field, or equivalent practical experience.
  • Proven 5+ years of SRE experience
  • Strong understanding of SRE principles and practices.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Proficiency in at least one scripting language (e.g., Python, Bash, Go).
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
  • Level of coding experience beyond simple scripts with one of the programming languages such as Go, Java, or Python to help build reliability engineering
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Understanding of network protocols, and security best practices
  • Familiarity with DevOps culture and practices and experience with CI/CD toolchains
  • Experience with Incidence Response processes and config management tools (PagerDuty, Git),
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.   
  • Ability to work independently and as part of a team to achieve the SRE agenda.

Preferred Qualifications:

  • Experience with technologiesTechnology experience with: Kafka, what DBs, ???relational databases,  performance tuning (JVM, Go)
  • Experience with Grafana K6 – Continuous Performance Tool
  • Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible).
What success looks like in the role
Within the first 30 days you will:
  • Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment.
  • Seek to deeply understand business problems or common engineering challenges and propose software architecture designs to solve them elegantly by abstracting useful common patterns.
By 90 days:
  • Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team.
  • Take a committed approach to prototyping and co-implementing systems alongside less experienced engineers on your team—there’s no room for ivory towers here.
By 6 months:
  • Share support of critical team systems by participating in call, learning the characteristics of currently running systems, and participating in improvements.
  • Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner.
  • Collaborates with Support Management and Engineering Manager to quick resolution of escalation.

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.  

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.  Contact hr@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

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About The Company

SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved well beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and environmental needs of today’s cloud-oriented enterprise.

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