Senior Site Reliability Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Title: Senior Site Reliability Engineer

About the Role:

The Site Reliability Engineering team is part of the Digital Enterprise Technology Platform Engineering organization, responsible for architecting, scaling, and maintaining the IT monitoring and observability ecosystem. You will ensure Enterprise IT services' reliability by driving proactive telemetry strategies and deep-system visibility.

We're looking for a self-starter with the ability to take ownership of tasks, work under pressure, and balance multiple assignments simultaneously while maintaining a positive outlook. You'll lead the evolution of observability frameworks, contribute ideas, and provide feedback on complex monitoring architectures while providing expertise for IT projects and enhancements across various IT organizations.

Responsibilities:

• Manage, assess, plan, and support core observability platform operations and strategy.

• Lead process changes and implementations related to the monitoring and logging stack (e.g., Splunk, Grafana, NewRelic).

• Provide escalation support for configuration and platform issues, participating in on-call schedules to resolve major incidents using deep-dive observability data.

• Collaborate with key stakeholders (Service Managers, Product Managers, Application Architects, Business Support, and Operations) to gather and develop complex monitoring and alerting requirements.

• Develop AI, automation, and integrations to deliver predictive monitoring and automated anomaly detection.

• Work with third-party vendors and partners to address platform-related enhancements and evaluate next-gen observability tooling.

• Support and manage the introduction of new monitoring tools and orchestrate migrations to modern OpenTelemetry-based standards.

• Present reports on Service Level Indicators (SLIs), Service Level Objectives (SLOs), and correlation metrics to the Enterprise Operations team periodically.

• Work under Agile scrum methodology and provide technical mentorship on observability best practices to junior team members.

• Create standard operating procedures for monitoring-as-code and share them with the team for effective execution.

Minimum Qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent experience in technical leadership

• 5-8 years of experience designing and implementing distributed systems to handle large-scale telemetry and log data

• 5-8 years of experience building and scaling high-volume observability pipelines.

• Proven mastery of full-stack observability suites (Splunk, ThousandEyes, or similar).

• Direct experience implementing OpenTelemetry (OTel) standards.

• Strong background in "Monitoring as Code" using Terraform or similar automation tools.

• Demonstrable ability in Bash/Powershell, Python, and JavaScript (NodeJS), especially program comprehension

• Understanding of REST-based API design principles and best practices

• Experience with server administration (Linux and Windows)

• Knowledge of monitoring tools like Zabbix, Splunk, Grafana, NewRelic, or ThousandEyes

• Experience with AWS public cloud and VMware vSphere

• Knowledge of configuration management and orchestration tools like Puppet, Ansible, or Terraform

• Experience with Docker and containerized applications

• Strong troubleshooting and debug skills (reading log files, analyzing memory leaks)

• Strong analytical skills and ability to gather and synthesize data for review

• Ability to problem-solve in a fast-paced environment and shift gears effectively

• Subject matter expertise in at least one monitoring and telemetry product

Preferred Qualifications:

• Experience with AI and machine learning applications in operations

• Experience with predictive monitoring and auto-healing solutions

• Master's degree in Computer Science or related field

• Experience translating technical concepts into visual representations
  
  *LI-Y

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.