11:00 - 17:00

Mon - Fri

Handbook: Transitioning from Traditional IT Support to AWS Cloud Support for FinTech

Handbook: Transitioning from Traditional IT Support to AWS Cloud Support for FinTech

As FinTech and Investment Banking rapidly shift towards cloud-first strategies, there's a strong demand for experienced IT professionals who understand both legacy systems and modern cloud environments. If you've spent a decade supporting critical apps on UNIX/Linux, managing databases, scripting in Perl/Shell, and following ITIL practices—your skills are not obsolete—they’re foundational. This guide helps you bridge your traditional knowledge with AWS, enabling a successful pivot into cloud-based support roles such as:

  • AWS Cloud Support Engineer
  • DevOps/Platform Engineer
  • Site Reliability Engineer (SRE)

Why Shift to AWS Cloud Support in FinTech?

BenefitDescription
Industry Demand90%+ of FinTech firms use AWS for agility, cost savings, and compliance.
High Pay & Job Security₹8–25 LPA in India for mid-senior cloud support roles.
Global OpportunitiesAWS experience is globally recognized.
Your Domain Knowledge is GoldPayments, trading, compliance—you understand the landscape, which is rare among cloud-only engineers.

Core AWS Cloud Tech Stack for FinTech Support

1. AWS Core Services

CategoryKey ServicesPurpose
ComputeEC2, Lambda, ECS, EKSApp hosting, serverless alerts, containers
StorageS3, EBS, GlacierApp data, backups, logs, archival
NetworkingVPC, ELB, Route 53Private cloud, load balancing
DatabasesRDS, Aurora, DynamoDBTransactional, scalable FinTech data
SecurityIAM, KMS, Shield, WAFAccess control, encryption, compliance
MonitoringCloudWatch, CloudTrail, X-RayLogs, auditing, tracing
AutomationAWS CLI, Systems ManagerScripting, patching, orchestration

2. Supporting Tech

  • Linux OS (Amazon Linux, Ubuntu)
  • Scripting: Python (preferred), Bash (still valuable)
  • Infra as Code: Terraform, CloudFormation
  • DevOps Tools: GitHub Actions, Jenkins, CodePipeline
  • Observability: Prometheus, Grafana, ELK
  • APIs: REST, boto3 (Python AWS SDK)

3. Containers (Docker, ECS, EKS)

✅ Why Docker is Non-Negotiable

ReasonBenefit
PortabilityMove apps across environments (dev/test/prod) reliably
IsolationOne container = one app, simplifies support/debugging
Resource EfficiencyUses fewer resources than VMs
Cloud NativeWorks seamlessly with AWS ECS, Fargate, EKS

What to Learn

  • Docker Basics: docker run, docker build, docker-compose
  • Dockerfile syntax
  • AWS ECR (Elastic Container Registry)
  • ECS tasks, EKS pods, Fargate
  • Docker Best Practices: multi-stage builds, minimal base images, non-root users

How Your Traditional Experience Maps to AWS

TraditionalAWS EquivalentUse Case
UNIX/LinuxEC2 LinuxManage, troubleshoot, and patch cloud servers
Shell/Perl ScriptingPython + boto3Automate AWS tasks (e.g., backup RDS)
ITIL (Incident, Change)Cloud Incident MgmtUse Jira/ServiceNow + CloudWatch alerts
Oracle/MySQLRDS/AuroraSame SQL queries, now with AWS features
App Logs in Flat FilesCloudWatch Logs / ELKCentralized log aggregation
Manual Infra MgmtTerraform/CloudFormationIaC for repeatable provisioning

Learning Pathway (Step-by-Step Guide)

Phase 1: Cloud Foundations (1–2 Months)

What to Learn

  • AWS Basics: EC2, S3, VPC, IAM, RDS
  • Shared Responsibility Model
  • Intro to Well-Architected Framework

Resources

Hands-On

  • Create an EC2 instance, attach EBS
  • Configure IAM users & roles
  • Host static website on S3

Phase 2: AWS Support & Operations (2–3 Months)

What to Learn

  • EC2 monitoring & patching with Systems Manager
  • CloudWatch alarms and dashboards
  • S3 lifecycle, RDS performance tuning
  • CLI, boto3 for automation

Resources

Hands-On

  • Automate EC2 backups via Lambda
  • Troubleshoot CPU spikes with CloudWatch & logs
  • Use SSM for patch automation

Phase 3: Docker & Containers (1–2 Months)

What to Learn

  • Docker engine, Compose, Dockerfiles
  • Deploy container to AWS ECS & EKS
  • Container monitoring & scaling

Resources

Hands-On

  • Containerize a Python app
  • Push to ECR
  • Deploy on ECS using Fargate
  • Monitor with Container Insights

Phase 4: FinTech-Specific Cloud Knowledge

What to Learn

  • PCI-DSS, GDPR, RBI Guidelines on Cloud
  • Multi-AZ architecture
  • Fault tolerance & disaster recovery
  • AWS KMS, Shield for sensitive apps

Resources

Tools You’ll Commonly Use

CategoryTools
CLI & SDKAWS CLI, boto3 (Python), Terraform
MonitoringCloudWatch, ELK, Prometheus
DevOpsGitHub Actions, Jenkins, CodePipeline
InfraEC2, ECS, RDS, VPC, IAM
CollaborationJira, Confluence, ServiceNow

Use Cases for Hands-On Practice

  • Simulate EC2 Failure: Restore using AMI + CloudWatch alarms
  • Setup RDS with Failover: Use Multi-AZ Aurora + snapshots
  • Deploy Containerized FinTech App: ECS + Fargate + CloudWatch
  • Automate Log Rotation: Lambda + CloudWatch + S3

Certifications (Optional but Recommended)

CertificationBenefit
AWS Cloud PractitionerFoundation-level, low effort
AWS Solutions Architect AssociateMost recognized for support/infra roles
AWS SysOps AdministratorFocused on operations and monitoring
Docker Certified AssociateValidates container skills

Career Roadmap After Transition

YearRoleGoal
0–1Cloud Support EngineerMaster AWS support tools, logging, automation
1–2Cloud DevOps EngineerBuild CI/CD, IaC, Docker orchestration
2–3SRE / Platform EngineerDesign scalable infra, chaos testing, SLA/SLO
3+Cloud ArchitectLead FinTech app migration, compliance design

✅ Final Tips

  • Practice every day: Use AWS Free Tier, experiment often.
  • Document your journey: Build a GitHub portfolio of scripts, IaC, and solutions.
  • Bridge the language gap: Learn to translate business/ITSM processes into cloud automation.
  • Don’t reinvent: Use AWS Well-Architected Framework to guide decisions.

Leave a Comment:



Topics to Explore: