Senior Lead Software Engineering - AMDP

Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market‑leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At the company, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships.

As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high‑performing team culture.

Job Responsibilities

• Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes.
• Coordinate incident management coverage to ensure effective resolution of application issues.
• Collaborate with cross‑functional teams to perform root cause analysis and implement production changes.
• Develop and support AI/ML solutions for troubleshooting and incident resolution.
• Mentor and guide team members to foster growth and drive strategic change.
• Build and maintain scalable, resilient, and market‑leading data solutions.
• Drive adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation at scale.
• Support budgetary and staffing considerations to optimize team performance.
• Engage in operational stability and disaster recovery planning.
• Implement automation tools to reduce toil and improve efficiency.

Required Qualifications, Capabilities, and Skills

• Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms.
• Skilled in running production incident calls and managing incident resolution.
• Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
• Strong understanding of SLI/SLO/SLA and Error Budgets.
• Proficient in Python or PySpark for AI/ML modelling.
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools.
• Strong understanding of responsible AI use in engineering workflows.
• Able to reduce toil by building automation tools for repeated tasks.
• Hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery.
• Awareness of risk controls and compliance with departmental and company‑wide standards.

Preferred Qualifications, Capabilities, and Skills

• Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies.
• AWS and Databricks certifications.
• Advanced knowledge of AI/ML troubleshooting and incident resolution.
• Familiarity with budgetary and staffing optimization.

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.

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.