SatishkumarDhule
Architecting cloud-native infrastructure and automating DevOps workflows at scale
Satishkumar Dhule
DevOps • SRE • Cloud Architect
Proven Track Record
Delivering enterprise-grade solutions at scale for world-leading organizations
Trusted by Amazon, Salesforce, Credit Suisse, Deutsche Bank & Barclays
World-Class Organizations
Salesforce
Credit
Deutsche
Barclays
Amazon
Amdocs
Engineering Principles
Guided by Google SRE practices and battle-tested at scale
"Hope is not a strategy. Reliability is engineered, not wished for."
— Google SRE Philosophy
15 Years of Excellence
Building and scaling infrastructure for world-class organizations
Salesforce
Senior Member Of Technical Staff - SRE & DevOps
Leading SRE & DevOps for mission-critical AWS services with 99.95% availability SLO.
Architecting cloud infrastructure: EKS, Lambda, DynamoDB, ElastiCache, RDS, S3, CloudFront.
Implementing enterprise observability: OpenTelemetry, Splunk, Prometheus, Grafana, Jaeger, Zipkin with distributed tracing across 50+ microservices.
Establishing Google SRE practices: SLO/SLI definitions, error budget policies, 40% toil reduction.
Established Google SRE practices: SLO/SLI definitions (99.95% availability), error budget policies, achieving 40% toil reduction through automation
Built secure CI/CD pipelines with Spinnaker and Jenkins integrating security scans: Snyk for dependency scanning, SonarQube for code quality, Checkmarx for SAST/DAST
Implemented HashiCorp Vault for secrets management and zero-trust security architecture across all environments
Architected enterprise observability platform: OpenTelemetry, Splunk, Prometheus, Grafana, Jaeger, Zipkin with distributed tracing across 50+ microservices
Managed AWS services at scale: EKS, Lambda, DynamoDB, ElastiCache, RDS, S3, CloudFront with Terraform infrastructure as code
Configured enterprise Akamai CDN with intelligent routing, GTM, and phased release strategies handling 10M+ requests/day
Implemented GitOps workflows with ArgoCD reducing deployment time by 60% and ensuring declarative infrastructure management
Credit Suisse
Assistant Vice President - SRE & Platform Engineering
Co-founded SRE & Platform Engineering team for GCE application serving 500+ users.
Achieved 99.9% availability SLO and reduced MTTR from 2 hours to 15 minutes (87.5% improvement).
Established SRE practices: SLI/SLO definitions, error budget tracking, on-call rotation.
Engineered BEE (Batch Execution Engine) using Python Django/DRF and Celery for workflow orchestration.
Established SRE practices: 99.9% availability SLO, error budget policies, reduced MTTR from 2 hours to 15 minutes
Co-founded Engineering team and built GCE application serving 500+ users with $200K cost savings
Engineered BEE (Batch Execution Engine) using Python Django/DRF and Celery for workflow orchestration
Integrated ServiceNow REST API for automated incident management reducing ticket resolution time by 50%
Pioneered Jenkins adoption and built CI/CD pipelines with automated testing and security scanning
Implemented monitoring stack: Grafana, Prometheus, ELK with PagerDuty integration for incident management
Deutsche Bank
Software Associate - DevOps & Automation
Automated financial reconciliation for Settlement applications processing $10M+ daily transactions using Python/Pandas/SQL.
Established monitoring infrastructure: ITRS Geneos, Splunk, AppDynamics for log aggregation and APM.
Integrated Autosys APIs for intelligent auto-resolution reducing job failures 70%.
Built automated SOD/EOD health checks with Ansible reducing manual effort 80%.
Automated financial reconciliation using Python/Pandas/SQL processing $10M+ daily transactions
Integrated Autosys APIs for intelligent auto-resolution reducing job failures by 70%
Established monitoring infrastructure using ITRS Geneos, Splunk, and AppDynamics from scratch
Built automated SOD/EOD health checks with Ansible reducing manual effort by 80%
Implemented alerting with Nagios and PagerDuty ensuring 99.5% SLA compliance
Barclays Investment Bank
Software Engineer - Production Support & Monitoring
Established monitoring infrastructure for trading applications with 99.9% uptime and < 5 min response SLA.
Designed real-time dashboards: Grafana, Splunk, Dynatrace for outage management and disaster recovery.
Led postmortem analysis and RCA reducing recurring incidents 60%.
Managed job scheduling with Autosys and Control-M for critical batch workflows.
Established monitoring infrastructure with Grafana, Splunk, and Dynatrace for trading applications with 99.9% uptime
Created real-time dashboards for outage management, disaster recovery, and daily operations
Automated support operations using Python and Bash reducing MTTR by 50%
Led postmortem analysis and implemented preventive measures reducing recurring incidents by 60%
Managed job scheduling with Autosys and Control-M for critical batch workflows
Amazon
Software Development Engineer - SRE
Served as the first line of defense for a fleet of 1500+ EC2 instances and bare-metal servers supporting Tier 1 Amazon Retail Cart application with 99.99% uptime SLA and strict latency requirements (p99 < 100ms).
Troubleshot, debugged, and resolved critical computer-identified alarms using CloudWatch, internal monitoring tools, and log analysis, performed zero-downtime software deployments and migrations using Amazon's deployment pipeline, and automated routine operational tasks using Python and internal automation frameworks.
Executed large-scale hardware repurpose programs for 4000+ servers to decommission legacy infrastructure and optimize costs, resulting in $500K+ annual savings through efficient resource reallocation and data center consolidation.
Configured and optimized Elastic Load Balancers (ELB) and Application Load Balancers (ALB) for high-availability and fault tolerance across multiple availability zones.
Managed fleet of 1500+ servers for Tier 1 Amazon Retail Cart with 99.99% uptime and p99 < 100ms latency
Executed hardware repurpose program for 4000+ servers achieving $500K+ annual cost savings
Configured and optimized ELB/ALB for high-availability across multiple availability zones
Led 3X infrastructure scale-up for Cyber Monday and Black Friday handling 100K+ requests/second
Performed comprehensive stress testing and load testing to validate infrastructure scalability
Worked on cross-region call optimization programs reducing latency and improving global performance
Amdocs
Senior Subject Matter Expert - Integration & Operations
Served as Integration Subject Matter Expert for multiple high-profile global telecommunications projects including Telkomsel Indonesia (50M+ subscribers), Vodafone Romania, Claro Chile, AMEX US, and Globe Philippines.
Collaborated with client third-party vendors to design and integrate their APIs (SOAP, REST) with Amdocs Products (CRM, Billing, Order Management) ensuring seamless interoperability and data consistency.
Architected and implemented Amdocs product infrastructure on client data centers with high availability (99.9% uptime), disaster recovery, and business continuity considerations using Oracle RAC, load balancers, and clustering technologies.
Conducted comprehensive knowledge transfer sessions and training programs for client technical teams (100+ engineers) on Amdocs Products, operational procedures, and best practices.
Integration SME for 5+ global telecom projects across 4 continents serving 50M+ subscribers
Architected and integrated third-party APIs (SOAP/REST) with Amdocs Products for major carriers
Designed high-availability infrastructure with 99.9% uptime using Oracle RAC and clustering
Conducted knowledge transfers and trained 100+ client engineers on operations and monitoring
Led incident response achieving MTTR < 30 minutes and minimized business impact
Battle-Tested Technologies
Mastering the tools that power modern cloud infrastructure and DevOps automation
SRE Practices
Observability
SLO/SLI/SLA
Error Budgets
Toil Reduction
Security Scanning
SAST/DAST
Snyk
SonarQube
Checkmarx
HashiCorp Vault
Secrets Management
Spinnaker
OpenTelemetry
Distributed Tracing
Prometheus
Grafana
Splunk
Jaeger
Zipkin
AWS
Kubernetes
Docker
Terraform
Python
GitOps
CI/CD
Jenkins
GitHub Actions
ArgoCD
PagerDuty
Akamai CDN
Chaos Engineering
Zero Trust Security
Continuous Learning
18+ professional certifications in cloud, containers, and DevOps technologies
Kubernetes
6
Kubernetes: Package Management with Helm
Certified Kubernetes Administrator (CKA) Cert Prep: The Basics
Kubernetes Essential Training: Application Development
Kubernetes for Developers: Core Concepts
Pluralsight
ID: bea52e4a-38de-4ba1-8aa4-7787e2edb9a6
Kubernetes for Developers: Moving to the Cloud
Pluralsight
ID: 0bebe944-fef6-4cc3-8d52-8a698df1f7c8
Learning Kubernetes
Docker
5Docker Deep Dive
Pluralsight
ID: 7d3167c7-277f-4ad1-a19a-ee0d42c5a9d3
Building and Orchestrating Containers with Docker Compose
Pluralsight
ID: 5f66d712-4338-4ab4-acfe-2b6f55ec992e
Building and Running Your First Docker App
Pluralsight
ID: 9f98cd6c-7c9c-4e64-a491-95e9361be47f
Docker for Developers
Getting Started with Docker
Pluralsight
ID: 37092a4b-64af-429f-ac0e-c30ace526653
Programming
2
Python Certification
HackerRank
ID: 1d46f236d94c
First Look: Python 3.9
Problem Solving
2Problem Solving (Intermediate) Certificate
HackerRank
ID: b4c232cddc47
Problem Solving (Basic) Certificate
HackerRank
ID: 3b50497b3f16
Architecture
1Software Architecture: From Developer to Architect
IT Service Management
1
ITIL Foundation
ITIL
ID: GR750277966SD
AWS
1
AI Infrastructure on AWS
AWS
ID: 10c89f74-f603-45b7-94f5-84a402996ffe
Enterprise-Scale Projects
Building robust infrastructure and automation solutions for Fortune 500 companies
Architected and implemented comprehensive observability platform using OpenTelemetry, Splunk, Prometheus, Grafana, Jaeger, and Zipkin. Enabled distributed tracing across 50+ microservices handling 10M+ requests/day with 99.95% availability SLO.
💡 Reduced MTTR by 60%, improved system visibility across 50+ services
Configured enterprise-grade Akamai CDN with intelligent routing, GTM, and phased release cloudlets. Implemented blue-green deployments and canary releases for zero-downtime updates serving global traffic.
💡 Handled 10M+ requests/day, reduced latency by 40% globally
Built enterprise CI/CD pipelines with Spinnaker and Jenkins integrating comprehensive security scanning: Snyk for dependency vulnerabilities, SonarQube for code quality and SAST, Checkmarx for DAST. Implemented automated security gates, container scanning, and compliance checks in deployment workflows.
💡 Reduced security vulnerabilities by 70%, achieved 100% automated security scanning
Implemented HashiCorp Vault for centralized secrets management and zero-trust security architecture. Integrated with Kubernetes, AWS, and CI/CD pipelines for dynamic secrets, encryption as a service, and automated secret rotation across all environments.
💡 Eliminated hardcoded secrets, achieved zero-trust security posture
Implemented GitOps workflows using ArgoCD and Terraform for declarative infrastructure management. Built automated sync policies, drift detection, and self-healing capabilities ensuring infrastructure as code best practices.
💡 Reduced deployment time by 60%, achieved 100% infrastructure as code
Engineered enterprise batch orchestration platform using Python Django/DRF and Celery. Integrated Control-M REST API for workflow management with retry logic, failure handling, and real-time monitoring.
💡 Orchestrated 1000+ daily batch jobs, 99.9% success rate
Established comprehensive SRE platform with Grafana, Prometheus, ELK Stack, and PagerDuty. Implemented SLO/SLI monitoring, error budget tracking, and automated incident management workflows.
💡 Achieved 99.9% SLO, reduced MTTR from 2 hours to 15 minutes
Automated critical financial reconciliation processes using Python, Pandas, and SQL. Integrated Autosys APIs for intelligent job failure resolution and implemented SOD/EOD health checks with Ansible.
💡 Processed $10M+ daily transactions, 80% manual effort reduction
Established real-time monitoring for high-frequency trading applications using Grafana, Splunk, and Dynatrace. Built dashboards for outage management, disaster recovery, and daily operations with < 5 min SLA.
💡 99.9% uptime, 50% MTTR reduction, 60% fewer recurring incidents
Led 3X infrastructure scale-up for Cyber Monday and Black Friday peak events. Configured ELB/ALB for high availability, performed stress testing, and optimized cross-region calls for 100K+ req/sec.
💡 Handled 100K+ req/sec, 99.99% uptime, $500K+ cost savings
Executed large-scale hardware repurpose program for 4000+ servers. Implemented resource reallocation strategies, data center consolidation, and infrastructure optimization initiatives.
💡 Repurposed 4000+ servers, achieved $500K+ annual savings
Architected integration platform for 5+ global telecom carriers serving 50M+ subscribers. Implemented high-availability infrastructure with Oracle RAC, load balancers, and disaster recovery across 4 continents.
💡 Served 50M+ subscribers, 99.9% uptime, MTTR < 30 minutes
Developed Python-based framework integrating ServiceNow REST API for automated incident, change, and problem management. Built real-time dashboards and automated ticket routing workflows.
💡 50% faster ticket resolution, 90% automation of manual processes
Managed EKS clusters across multiple regions with automated scaling, monitoring, and disaster recovery. Implemented GitOps workflows with ArgoCD for declarative cluster management.
💡 Managed 10+ clusters, 500+ pods, 99.95% availability