Senior Operations Strategist

Senior Operations Strategist

About the Role

We are seeking a highly experienced Senior Operations Strategist to join our team. As a key member of our engineering-driven culture, you will be responsible for designing and implementing strategic initiatives that leverage AI and Machine Learning to create self-healing, automated, and cloud-native operational systems.

This is a hands-on leadership role for a technically proficient individual with the vision and negotiation skills to champion change, eliminate manual processes, and foster a collaborative environment across our engineering, DevOps, and Site Reliability Engineering (SRE) teams.

Key Responsibilities

• Strategy & Leadership: Develop and execute a multi-year strategy to automate and optimize IT operations using AI/ML-driven solutions, predictive analytics, and self-healing systems.
• DevOps Implementation: Lead the cultural transformation towards engineering-driven practices and DevOps excellence.
• AIOps Implementation: Drive the development and deployment of AIOps platforms to proactively identify and resolve issues, reduce alert fatigue, and improve infrastructure and application observability and performance.
• Process Transformation: Spearhead initiatives to eliminate traditional operations bottlenecks, automate manual processes, and establish new standards for operational efficiency and system reliability.
• Team Collaboration: Foster a collaborative and integrated environment across product engineering, DevOps, and Site Reliability Engineering (SRE) teams to ensure shared ownership and accountability for the full application lifecycle.
• Platform Modernization: Guide the evolution of our CI/CD pipelines, container orchestration on Kubernetes, and cloud-native infrastructure to support autonomous and proactive operations.
• Cultural Change: Act as a change agent within the organization, articulating the vision for an engineering-driven culture and using excellent communication and negotiation skills to build consensus and drive adoption of new methodologies.
• Hands-on Contribution: Remain deeply hands-on with the technology stack, actively contributing to architectural design, code reviews, and key technical decisions to ensure a seamless bridge between innovation and execution.

Requirements

• Education: Degree from a recognized University in Information Technology, Computer Science, or related field.
• Experience: Minimum of 10-15 years of deep DevOps & SRE experience, including extensive hands-on experience in CI/CD pipeline automation, infrastructure-as-code, and observability.
• Skills: Proven experience in designing or implementing AI/ML-driven solutions for IT operations, covering both infrastructure and application observability, such as log analysis, anomaly detection, and predictive maintenance.
• Technologies: Strong practical experience with technologies like Java, NodeJs, Python, ReactJs, Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation, ELK, Dynatrace, Prometheus, Grafana, and Datadog.
• Cloud-Native Architecture: Expertise in designing and managing cloud-native systems, microservices architectures, and distributed systems.
• Security Governance: Knowledge of security best practices and DevSecOps implementations.

Benefits

• Career Growth: Opportunities for career growth and professional development.
• Collaborative Environment: Collaborative and integrated environment across product engineering, DevOps, and Site Reliability Engineering (SRE) teams.
• Autonomy: Autonomy to work independently with minimal guidance.
• Recognition: Recognition for outstanding contributions to the organization.