Senior AWS Cloud Engineer- VDI Platform

APEX Fintech Services•Austin, TX

7d•Hybrid

About The Position

APEX Fintech's AWS WorkSpaces platform is a production-grade, multi-region AWS serverless system that automates the full lifecycle of Amazon WorkSpaces virtual desktops for a multi-tenant VDI program spanning hundreds of active desktops. We're hiring a Senior AWS Cloud Engineer who will take full ownership of the platform's architecture — designing, building, and automating the systems that keep it running — while serving as the go-to expert for day-to-day production incidents. You'll bring a security- and compliance-first mindset to every decision, ensuring the platform holds up to the standards our regulated fintech environment demands.

Requirements

At least 5 years of hands-on AWS experience, including 3+ years with serverless or event-driven architecture in production.
2+ years of experience with Amazon WorkSpaces in a production environment.
Multi-region AWS deployment experience; CCR or active-active DR experience is a strong plus.
Must have written, deployed, and debugged Python Lambda functions in production.
2+ years of work experience with Terraform to manage real production AWS infrastructure, including remote state.
Must demonstrate working experience with WorkSpaces lifecycle management, including create, update, delete, and rebuild operations.
Expertise with Python 3.14 Lambda development — handlers, environment variables, error handling.
Experience with Lambda concurrency, timeouts, retries, and DLQ behavior.
Ability to create, update, and troubleshoot AWS Step Functions, including STANDARD workflows, states, Wait, Choice, and Task.
API Gateway — EDGE endpoints, SQS service integration, API key authentication.
Experience with DynamoDB single-table design, including partition keys, sort keys, GSIs, and related access patterns.
Must demonstrate expertise with SNS, including topic subscriptions, message filtering, and error notification patterns.
Experience working with Terraform in multi-region deployments and provider configuration.
Configuration management using Ansible, including playbooks, roles, inventory management, idempotent task design, and Ansible Vault.
Hands-on experience with observability and resilience tooling (CloudWatch Logs Insights/metrics/alarms, Route53 health checks/failover routing) as well as Datadog for serverless observability.
AWS KMS Multi-Region Keys, including replication, key policy, and encryption context.
AWS IAM administration — users, groups, roles, permission boundaries, and cross-account role assumption.

Nice To Haves

VPC design for WorkSpaces (subnets, route tables, NAT Gateway, Transit Gateway, security groups)
Custom domain management (Route53, ACM certificates, API Gateway custom domains)
Cost optimization for WorkSpaces.
Infrastructure security scanning (Checkov, tfsec)
Knowledge of security frameworks and controls, including CIS benchmarks, NIST, device compliance, and conditional access.
Experience supporting regulated environments, such as FINRA, SEC, FedRAMP, NIST, or SOC environments.
Strong communication skills, with the ability to explain technical decisions to both engineering peers and non-technical stakeholders.
AWS Solutions Architect – Professional
AWS DevOps Engineer – Professional
AWS SysOps Administrator – Associate
Cross-Region Replication (CCR) design patterns / multi-region DR architecture
Experience with ITIL practices, service management tooling, and building actionable SLOs and SLIs.
Familiarity with compliance and regulatory requirements in financial services.
Experience with DLP (Data Loss Prevention) and endpoint security in regulated environments.

Responsibilities

Own the architecture, code quality, and evolution of the platform — driving decisions on new capabilities, DR testing, scaling, and Terraform IaC.
Serve as the primary escalation point for engineering questions related to the system.
Diagnose and resolve production incidents quickly, tracing failures end-to-end across Lambda, SQS, DynamoDB, SNS, and CloudWatch Logs.
Support day-to-day VDI operations: image builds, bundle management, directory configuration, client connectivity, and user-facing troubleshooting.
Bridge the gap between infrastructure automation and end-user desktop experience.
Mentor junior engineers on AWS serverless architecture, operational best practices, and production troubleshooting.
Own the deployment and integration of Datadog monitoring for the AWS VDI stack, including metrics, logs, traces, dashboards, SLOs, and alerting.