Presight is seeking a meticulous and expert Lead Engineer - Site Reliability to build and support the delivery model that empowers product & technology teams to develop high-quality products, improve platform infrastructure, and strengthen the reliability of products and solutions. This role is vital in defining and establishing the delivery model used in developing cutting-edge, next-generation analytics solutions and services.
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Key Responsibilities:
- Drive reliability, performance, and scalability across our infrastructure with relevant stakeholders.
- Own the SRE roadmap, guiding implementation through mentorship, code contributions, and hands-on infrastructure work.
- Partner closely with Engineering, Data Science, and Product teams to embed reliability into the development lifecycle.
- Function as the architect by leading reliability strategies across services and environments.
- Define and enforce Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets with engineering leadership.
- Lead incident response and root cause analysis.
- Implement automation to reduce toil and improve system resilience.
- Manage capacity planning, traffic forecasting, and cost optimization.
- Mentor junior and senior Site Reliability Engineers in technical and process excellence.
- Collaborate with MLOps, DevSecOps, and CloudOps teams to enforce best practices.
- Champion observability, metrics-driven decisions, and platform maturity.
- Deploy monitoring tools such as Prometheus and Grafana to track system performance.
- Ensure that system reliability adheres to security and compliance standards, especially within regulated sectors.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance policies and procedures.
Qualifications:
- Bachelor's Degree in Computer Engineering or related field.
- Minimum 10 years of experience in site reliability with 2 years in people management.
- Expertise in Kubernetes, CI/CD (e.g., GitLab), and infrastructure-as-code (Terraform/Helm).
- Strong experience in cloud services (Azure, AWS, or GCP).
- Experience with multi-tenant systems or high-throughput data platforms.
- Exposure to AI/ML infrastructure or MLOps pipelines.
- Proven background in SRE principles, SLIs/SLOs, and reliability-focused engineering.
- Programming proficiency in Python or Shell (preferred).
- Deep understanding of distributed systems, networking, and incident management.
- A highly detail-oriented and methodical approach to problem solving.
- Strong analytical skills and a passion for technology, troubleshooting, and customer service.
- Excellent verbal and written communication skills.
What We Look For:
Join Presight, where we foster a culture of innovation, provide outstanding career growth opportunities, and offer competitive rewards. If you are eager to explore new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
What Working at Presight Offers:
- Culture: An open, diverse, and inclusive environment that encourages personal growth and focuses on groundbreaking, industry-first innovations.
- Career: Accelerate your career through high-impact projects and access to continuous growth and learning opportunities.
- Rewards: A competitive remuneration package with various perks, including healthcare, education support, leave benefits, and more.
