Senior Tech Lead – SRE

Role Overview

• Lead SRE team initiatives focused on system reliability, automation, and operational excellence.
• Architect and implement solutions to enhance availability, performance, and scalability of cloud and on-premises services.
• Oversee incident management processes, ensuring timely response and thorough root cause analysis.
• Develop and refine monitoring, alerting, and reporting frameworks; ensure actionable insights for service health.
• Guide adoption of Infrastructure as Code (IaC) and CI/CD pipelines to streamline deployments and reduce risk.
• Collaborate with software engineering and product teams to integrate reliability requirements into design and development.
• Mentor engineers on SRE principles, fostering a culture of continuous improvement and operational rigor.
• Establish service level objectives (SLOs), service level indicators (SLIs), and error budgets in partnership with stakeholders.
• Manage on-call rotations, ensuring effective coverage and knowledge sharing.
• Document architectural decisions, operational procedures, and incident retrospectives.
• Operational Excellence for AI Systems – Identifying AI/ML Use Cases, Influence and implement SRE best practices including SLIs/SLOs for ML workloads, automated remediation, capacity modeling.
• Observability & Monitoring for ML
• Define and implement monitoring strategies for model drift, data anomalies, pipeline failures, system performance, and user experience.
• Proactive risk identification and mitigation during deployments to ensure system stability.
• Ensure long-term stability through Technical Debt Maintaining observability and performance of critical pharmacy applications.
• Supporting timely restoration of services during outages, with 24/7 coverage to meet enterprise Service Level Agreements (SLAs).
• Driving incident response and root cause analysis to prevent recurrence and improve system resilience.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 7+ years of relevant experience in SRE, DevOps, or software engineering, including 2+ years in a technical leadership role.
• Minimum 5 years' relevant experience with Python, Pyspark, Azure Databricks, Snowflake, SQL, ORACLE, POSTGRES, File Transfer, REST API, and KAFKA
• Proficiency with cloud platforms (AWS, Azure, GCP), container orchestration, and automation tools.
• Strong scripting and programming skills (e.g., Python, Go, Bash).
• Deep understanding of distributed systems, networking, and security principles.
• Proven experience leading large-scale incident response and postmortem processes.
• Excellent communication and stakeholder management skills.
• Experience building automation around: CI/CD (ADO YAML pipelines), Testing and validation.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Google Cloud Platform
• Kafka
• Oracle
• Postgres
• PySpark
• Python
• SQL
• Go

Benefits

• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance and many other opportunities