PRAVEEN JUTUR
Frederick,MD
Summary
Seasoned Site Reliability Engineer with expertise in AWS, Azure, and GCP architecture. Enhances cloud security and observability through CI/CD automation and container orchestration. Experienced in developing automated ML pipelines and optimizing cloud infrastructure to ensure real-time observability and security compliance.
Overview
19
19
years of professional experience
4
4
Certifications
Work History
Site Reliability Engineer | DevSecOps Engineer
Amtrak
Washington, District of Columbia
08.2025 - Current
- Engineered automated ML training pipelines using Python and AWS Step Functions to orchestrate data preprocessing and model training on AWS SageMaker, replacing manual script execution.
- Designed and implemented end-to-end database activity automation using AWS Lambda, Step Functions, and Python scripts, streamlining maintenance processes.
- Leading the deployment and orchestration of Apache Airflow on AWS (MWAA) to centralize the scheduling and execution of complex ETL pipelines, ensuring secure and scalable data processing.
- Leveraged Amazon Bedrock to integrate generative AI capabilities into an internal application, utilizing foundation models to automate content summarization and generation.
- Built observability solutions using AWS CloudWatch, Splunk, and OpenTelemetry; developed custom Python telemetry packages for application tracing.
- Architected and deployed production-grade observability solutions across multi-cluster Kubernetes (EKS) environments, integrating OpenTelemetry collectors and daemonsets to ensure 100% visibility into containerized workloads and ephemeral infrastructure.
- Automated lifecycle management of containerized applications using Helm and GitLab CI, enabling zero-downtime releases for mission-critical services through Canary and Rolling deployment strategies.
- Applied comprehensive technical understanding of cloud-native ecosystems to design fault-tolerant, scalable EKS architectures.
Cloud Infrastructure Engineer | SRE
Morgan Stanley
Baltimore, Maryland
06.2021 - 09.2025
- Developed high-performance inference services by integrating EKS-hosted Python microservices with AWS SageMaker endpoints to provide real-time security analytics and fraud detection.
- Automated the deployment of GenAI-ready serverless infrastructure using AWS CloudFormation, defining reusable templates for Lambda, API Gateway, and granular IAM policies to ensure reproducible, least-privilege environments for AI-driven operational tools.
- Engineered real-time observability solutions using Python and AWS CloudWatch to monitor SageMaker endpoint performance and detect statistical data drift in production banking transactions.
- Standardized model serving and observability by developing custom Python middleware to collect and route OpenTelemetry metrics from SageMaker endpoints to centralized security monitors.
- Developed automated model validation gatekeepers within CI/CD pipelines to programmatically verify SageMaker artifact integrity and performance before promotion to production EKS environments.
- Implemented and audited IAM policies to enforce least-privilege access, ensuring service account permissions met strict compliance and security standards.
- Maintained operational excellence during critical production failures by adapting rapidly and prioritizing effective resolution strategies.
- Spearheaded risk and issue management by architecting self-healing infrastructure that mitigated manual incident interventions.
- Developed and maintained a serverless application backend using AWS Lambda and API Gateway, processing thousands of requests daily with high availability and low latency.
- Developed and maintained Infrastructure as Code (IaC) solutions using AWS CloudFormation and Terraform to provision and manage CodePipeline resources, ensuring pipeline consistency and scalability across microservices stacks
- Automated provisioning and configuration of AWS infrastructure using Terraform, including EC2, VPC, IAM, RDS, and S3 resources, enabling consistent, repeatable, and version-controlled deployments across multiple environments.
- Architected a robust alerting system in Python that leverages Elasticsearch aggregations to identify anomalies in transaction patterns and trigger automated model investigations.
- Integrated Terraform with CI/CD pipelines (GitLab CI/Jenkins) to support automated infrastructure deployments and drift detection, improving deployment velocity and reducing manual overhead.
- Engineered high-availability, active-active infrastructure across multi-region Kubernetes clusters, utilizing Multi-AZ deployments and automated failover mechanisms to support mission-critical workloads.
- Standardized enterprise observability by deploying OpenTelemetry collectors as a vendor-agnostic data layer, enabling seamless trace correlation and metric ingestion across distributed architectures.
- Led application deployment strategies using Helm, GitOps workflows, and declarative manifests; orchestrated zero-downtime rolling and canary deployments to minimize service disruption and enable rapid, reliable delivery of new features
- Integrated ServiceNow Change Management into GitLab CI and Jenkins pipelines to enforce automated governance, ensuring production deployments met audit-readiness standards.
- Automated API Gateway deployment and version management using AWS CloudFormation and CI/CD pipelines, ensuring seamless updates and rollbacks for API changes
Devops Architect
Merck Pharmaceuticals
Branchburg Township, New Jersey
11.2019 - 06.2021
- Provisioned and managed persistent storage for stateful workloads using Persistent Volumes (PV), Persistent Volume Claims (PVC), dynamic storage classes, and cloud-native provisioners, ensuring data durability and performance for databases and critical services
- Defined and enforced Kubernetes resource quotas and limits at the namespace level using YAML-based configurations, actively monitored resource consumption, and iteratively tuned quotas to optimize utilization and prevent resource starvation or overprovisioning
- Established comprehensive monitoring and alerting for clusters and workloads using Prometheus and Grafana, integrating with cloud-native logging and alerting systems to enable real-time visibility, proactive incident response, and SLO/SLA compliance
- Configured private API Gateway endpoints with VPC integration and custom domain names for secure internal access to backend services.
- Built Splunk and Datadog dashboards and alerts for full-stack observability.
- Integrated Lambda with DynamoDB Streams for real-time event processing and automated remediation workflows.
- Configured Route Tables in Amazon VPC and set up Application Load Balancer (ALB)/Network Load Balancer (NLB) with Target Groups for external traffic distribution. Leveraged Auto Scaling Groups and Multi-AZ deployments to ensure high availability and fault tolerance for applications
- Designed cross-account ECR pipeline using Terraform null resources, securing Docker deployments with vulnerability scanning that blocked 150+ critical CVEs during image promotionReduced DynamoDB costs by 25% by optimizing partition keys, enabling on-demand capacity mode, and implementing TTL for data lifecycle management.
- Automated DynamoDB backups & compliance using Point-in-Time Recovery (PITR) and AWS Backup, meeting strict RPO/RTO requirements.
- Integrated DynamoDB with Lambda for real-time processing (e.g., user activity tracking), leveraging DynamoDB Streams and EventBridge
DevOps Engineer
Bloomberg LP
New York, New York
04.2017 - 11.2019
- Developed Ansible playbooks in YAML to automate provisioning of infrastructure and Kubernetes clusters.
- Created Kubernetes resources (deployments/pod/services) using YAML files.
- Provisioned new instances in AWS, including S3 Storage Services and AWS EC2.
- Created AWS orchestration scripts and designed new back-end services, expanded AWS infrastructure, and mentored team members.
- Set up application monitoring using Prometheus and federated Thanos.
- Worked on CI/CD Pipeline (Groovy) using Git, Bit Bucket, Jenkins and Kubernetes.
- Managed Helm charts and shared applications as Kubernetes charts; monitored applications with Prometheus and created reproducible infrastructure as code using Ansible and YAML.
- Created robust CI/CD pipelines using Jenkins and integrated cloud orchestration scripts.
DevOps Engineer
Coca-Cola
Atlanta, Georgia
11.2013 - 02.2017
- Developed POC for on-premise to AWS migration utilizing EC2, S3, ELB, Auto-Scaling, VPC, Route 53, Cloudwatch.
- Created the automated build and deployment process for application and led up to building a continuous integration system for all our products.
- Instrumental in developing Jenkins build pipeline jobs using groovy for Node.js, and Java-based applications.
- Participated in weekly meetings with cross-functional teams to address blockers, discuss feature enhancements, and onboard new projects.
- Led AWS migration POC and built Jenkins pipeline automation using Groovy for Java/Node.js apps.
Software Engineer
BMW Manufacturing Corporation
Greenville, South Carolina
10.2011 - 10.2013
- Led design and implementation of WM and PP solutions, enhancing small parts warehouse operations.
- Developed WRICEFs to interface with external and boundary systems, supporting Just In Time (JIT) delivery.
- Created equipment availability report to enable service centers to respond effectively to customer requests.
- Configured and customized SAP MM functionalities including Master Data Management, Purchasing Management,
- Inventory Management, and Material Valuation, resulting in improved operational efficiency and accuracy
Software Engineer
Infosys Technologies
Mysore, India
06.2007 - 01.2010
- Implemented BAPI_PO_CHANGE to enhance functionality of purchase order processing, facilitating smoother transactions.
- Modified automatic PO close program to list and close purchase orders meeting specified goods receipt percentage, improving order management efficiency.
- Remediated Order Maintenance Audit report for compatibility with upgraded version, ensuring accurate data reporting.
- Developed interfacing programs to copy VAS master data from source client to a target client
Education
MBA - Management Information Systems
University of Arkansas
Little Rock, AR05-2011
Skills
- Cloud infrastructure engineering
- Cloud Security & Compliance
- CI/CD automation
- Containerization & Orchestration
- Cloud migration
- Infrastructure automation
- MLOps
- Observability & Monitoring
- AWS Azure GCP architecture
- Programming & Scripting: Python, Bash/Shell Scripting
Certification
AWS Certified Security – Specialty
Timeline
Site Reliability Engineer | DevSecOps Engineer
Amtrak
08.2025 - Current
Cloud Infrastructure Engineer | SRE
Morgan Stanley
06.2021 - 09.2025
Devops Architect
Merck Pharmaceuticals
11.2019 - 06.2021
DevOps Engineer
Bloomberg LP
04.2017 - 11.2019
DevOps Engineer
Coca-Cola
11.2013 - 02.2017
Software Engineer
BMW Manufacturing Corporation
10.2011 - 10.2013
Software Engineer
Infosys Technologies
06.2007 - 01.2010
MBA - Management Information Systems
University of Arkansas