Arjit Srivastava

About Arjit Srivastava

I work at the intersection of software delivery and system resilience, focusing on how changes impact service availability in production environments.With 8+ years of experience in technology operations, I specialize in Change Risk Intelligence — analyzing deployment patterns, identifying high-risk changes, and enabling data-driven decisions that improve service stability and reduce production incidents.Currently, as a Senior Associate at American Express (Operations Engineering | Operational Data & Analytics), I focus on strengthening reliability through structured change risk assessment, operational analytics, and improved visibility into deployment impact. My work helps bridge the gap between engineering velocity and system stability.Core areas of focus:• Change Risk Intelligence: Assessing high-risk deployments and their impact on availability and stability • Service Availability Analytics: Building dashboards and insights (Tableau/MicroStrategy) to track MTTR, MTBF, and change-related risks • Proactive Risk Detection: Applying data-driven analysis on change data to identify patterns and improve deployment success • Governance & Compliance: Supporting availability and failed-change reporting aligned with RBI regulatory standards • Cloud-Aligned Thinking: Incorporating AWS resilience concepts into change impact and production risk evaluation My foundation in incident, problem, and change management (HCL Technologies, Concentrix) allows me to apply operational insights to real-world systems effectively.I am focused on building proactive, insight-driven operations that prevent issues before they impact customers, while continuously exploring AIOps and data-driven approaches to improve reliability.

Experience

1. Senior Associate

   American Express

   Jul 2025 — Present · Bengaluru, IN

   Elevated to Senior Associate, driving change risk intelligence, service reliability, and data-driven deployment insights across production environments.* Change Risk Intelligence: Driving structured risk assessments by analyzing high-risk deployment patterns and their direct impact on system availability and environment stability.Outcome: Maintained a [98%+] Change Success Rate and reduced unauthorized changes by [50%] through improved visibility.* Predictive Change Analytics: Applying ML-based predictive models specifically to historical change data to identify failure patterns. Outcome: Shifted the org toward proactive risk detection, preventing [10+] potential high-severity deployment incidents per quarter.* Strategic Reliability Planning: Contributing to Production Management roadmaps with data-driven insights. Outcome: Directly influenced strategies that improved MTBF by [15%] and minimized change-related production downtime.* Regulatory & RBI Compliance: Ensuring 100% audit readiness by automating failed-change reporting and availability metrics in strict adherence to RBI India financial standards.* Post-Deployment Analysis: Performing deep-dive audits of failed changes and Problem Records. Outcome: Strengthened root cause identification (RCA) to eliminate repeat deployment failures and improve long-term system stability.* Data Integration (ServiceNow to BI): Spearheading the integration of Change Management data with analytical platforms (Tableau/MicroStrategy) to enhance visibility into change-induced risks and deployment trends.Executive Visibility: Developing automated dashboards that translate complex change telemetry into actionable insights for leadership regarding service health and deployment-related risks.* Completed AWS Certified Cloud Practitioner training, adding a foundational cloud-native lens to production reliability incorporating AWS resilience concepts (AZs, Redundancy, SLAs) into change impact assessments.

Education

• The ICFAI University, Dehradun

  Bachelor of Technology - BTech, Computer Science

  2013 — 2017