Siddharth Sharma

Project: B2B
• Manage and scale Kubernetes-based infrastructure supporting high-availability retail services and AI analytics
workloads, driving GitOps adoption with ArgoCD to reduce configuration drift by 45%.
• Architected and deployed Nexara, an agentic AI platform utilizing Amazon Bedrock and an MCP Router
integrated with 7 external engineering tools across 3000+ GitLab repositories; eliminated manual toil by
automating remediation for 1000+ CVE security vulnerabilities, reclaiming ownership of $450K+ in blind AWS
spend, and resolving a 40% resource tagging compliance gap.
• Led infrastructure design and scaling for AI-powered recommendation systems supporting XGBoost and
Random Forest models, improving real-time customer analytics performance and reliability.
• Led and upskilled a high-performing team of 12 DevOps engineers, instituting automated sprint tracking and
career roadmaps that boosted engineering delivery velocity by 25% across core retail platforms.
• Engineered automated Terraform provisioning pipelines and optimised AWS resource usage via Cloudability,
reclaiming 2, 000+ idle vCPU cores while ensuring compliant deployments.
• Established DevSecOps practices by integrating automated security testing into CI/CD pipelines, reducing critical
vulnerabilities by 40%.

• Developed the Credit Control System data strategy, enabling seamless GCP cloud adoption for advanced
analytics and regulatory reporting.
• Led a team of engineers in delivering infrastructure automation projects and cloud platform improvements,
coordinating cross-functional collaboration with risk and compliance teams.
• Engineered and automated very large-scale Big Data pipelines using GCP DataProc and BigQuery for the Credit
Control department, optimising the processing and analysis of credit risk data.
• Architected highly-resilient hybrid cloud solutions across AWS, Azure, and GCP, meeting stringent financial
compliance requirements and scaling core systems to handle peak transaction volumes.
• Standardized enterprise configuration management via Ansible, eliminating cross-environment configuration
drift and accelerating financial system deployment velocity by 30%.
• Implemented disaster recovery and high-availability strategies, achieving 99.99% uptime across key financial
systems.

• Optimised VPC architectures and AWS infrastructure (RDS, IAM, CloudFormation), cutting migration downtime
by 48 hours per client.
• Optimized Kubernetes pod scheduling and resource allocations, resolving critical production resource
contention and reducing cloud compute overhead by 18% across client environments.
• Automated CI/CD pipelines using Docker, Kubernetes, Jenkins, and Ansible, resulting in a 25% improvement in
release cycle time for large enterprise clients.
• Implemented proactive monitoring and alerting (New Relic, PagerDuty, Kibana), reducing incident response
times and improving service availability.

Projects:
• Designed and deployed scalable AWS IaaS and PaaS solutions for clients, including John Deere and Monsanto,
enhancing system reliability by 20%.
• Automated cloud deployments and led proactive monitoring initiatives, streamlining operations and increasing
uptime.
• Mentored junior engineers on Kubernetes, Docker, and Terraform while managing end-to-end delivery of client
cloud projects.
• Improved fault tolerance by introducing automated recovery workflows and health checks.
• Built custom dashboards in Grafana to track application SLOs and improve visibility for engineering teams.

Projects:
• Provided consulting and designed scalable, multi-tier cloud solutions for finance clients, improving system
resilience and security posture.
• Built and optimised CI/CD pipelines for financial analytics platforms, introducing SRE practices with defined
SLOs/SLIs.
• Reduced production downtime by 30% through enhanced monitoring, automated incident response, and
proactive root cause analysis.
• Architected centralized log forwarding and metrics collection pipelines using Prometheus and Fluentd, shifting
engineering teams from reactive firefighting to proactive alerting thresholds.
• Led post-incident reviews and implemented feedback loops to reduce MTTR and prevent repeat outages.