Senior AI Operations Engineer
AstraZeneca2 days ago
Guadalajara, MexicoSenior
Responsibilities
- Design, build, and maintain centralized observability layers including instrumentation, dashboards, alerting rules, and telemetry pipelines.
- Architect and implement AI-augmented operations tooling for conversational runbooks, incident analysis, and pattern recognition.
- Lead complex incident response, perform root-cause analysis, and produce actionable post-mortems.
- Build automation that reduces operational toil and maintain accurate, progressively automated runbooks.
- Own technical execution of automation investments prioritized by incident frequency, resolution time, and blast radius.
- Implement operational readiness gates and contribute observability, health checks, and operational requirements during platform development.
- Provide technical input to platform architecture reviews and vendor evaluations.
- Mentor L1 operators and junior L2 SREs and support progression from L1 to L2 engineering roles.
- Prepare operational metrics covering resolution rates, repeat incidents, automation coverage, and toil-budget compliance.
- Collaborate with product engineering teams on post-mortems, handovers, operational obligations, and technical design discussions.
Requirements
- BSc or MSc degree in Computer Science or a related quantitative or analytical field.
- Significant hands-on experience as a Site Reliability Engineer or platform operations engineer at scale.
- Strong expertise with observability platforms such as Datadog, New Relic, Grafana, or Splunk.
- Strong working knowledge of OpenTelemetry, distributed tracing, and structured logging standards.
- Proven ability to design automation that materially reduces operational toil, using Python and Bash scripting.
- Experience assessing platform readiness and contributing to operational handover processes.
- Strong hands-on cloud infrastructure experience with Azure and/or AWS, including container orchestration, serverless architectures, and managed services.
- Experience contributing to post-mortems and translating findings into preventive engineering work.
- Ability to instrument systems, configure meaningful alerts, and build robust automation.
- Experience mentoring junior engineers and contributing to team development.
- Preferred experience applying AI/ML to operational challenges such as intelligent alerting, automated diagnosis, predictive incident detection, or conversational operations interfaces.
- Familiarity with AstraZeneca technology estates or regulated pharmaceutical environments is desirable.
- Experience operating AI/ML workloads such as LLM inference, model serving, and data pipelines is desirable.
- ITIL, SRE, or operational excellence certifications or equivalent practical frameworks are desirable.
- Experience with multi-tier support structures, infrastructure as code using Terraform or CloudFormation, and GxP and audit trail awareness is desirable.
Benefits
- Hybrid working with an average minimum of three days per week in the office and flexibility around that expectation.
- Opportunity to work on enterprise AI platforms supporting pharmaceutical research, development, and patient safety.
- Inclusive culture with opportunities for lifelong learning, growth, development, and collaboration.
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.