Lead Site Reliability Engineer, AI/ML Platform
JPMorganChase
Responsibilities:
- Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands.
- Partner with product engineering teams to ensure the AI/ML systems are reliable and high performing.
- Develop observability, security, automation and fin-ops tools and orchestration.
- Provide strategic technology leadership by defining and evaluating standards and architecture for reliability, observability and automation frameworks.
- Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
- Debug and solve issues in a production environment, identify root cause and remediate.
- Participates in on-call rotations, incident management and escalation workflows.
- Take full ownership of problems, develop solutions, and acquire new knowledge to complete the task.
- Mentor and guide junior engineers.
Required Qualifications:
- Bachelor’s degree in computer science, Information Technology, or equivalent technical qualification with 5+ years professional experience.
- Expertise in SRE principles, reliability, scalability and performance of application and infrastructure.
- Have hands-on experience with cloud platforms (AWS, GCP, Azure) and IaC tools (Terraform, Ansible).
- Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
- Experience in architecting distributed systems and cloud-native architecture in AWS.
- Systematic problem-solving and troubleshooting skills in a complex system.
- Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
- Self-managed, self-motivated with strong sense of ownership, urgency, and drive
Good to have:
- Prior experience working in AI, ML, or Data engineering.
- Prior experience developing AI Ops/AI Agents.
- Multi cloud experience (AWS, GCP, Azure) is a plus
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
As an SRE in AI Machine Learning and Data platforms LOB, you will implement solutions to enhance the reliability and observarvability