Haystack
← Back to Jobs
Technology
FT

AWS Solution Architect in Dallas, TX (Hybrid role)

FSTONE TechnologiesDallas, TX🇺🇸United StatesPosted 19 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Lead SRE observability workstream focusing on AWS-native monitoring solutions, migrating from third-party tools (Datadog/Splunk) to AWS CloudWatch ecosystem. Design and implement comprehensive observability architecture using CloudWatch Metrics V2, AWS AppSignals, AWS Distro for OpenTelemetry (ADOT), and AWS X-Ray. Establish enterprise-grade dashboards, alerting frameworks, and CloudFormation-based infrastructure automation for monitoring stack deployment.

Role Scope & Key Responsibilities

Primary Responsibilities:

                     Observability Migration Leadership: Lead migration from Datadog/Splunk to AWS CloudWatch Metrics V2, ensuring feature parity, cost optimization, and minimal disruption to monitoring capabilities

                     Deep Metrics Integration: Implement advanced CloudWatch metrics collection from ZeHorizon platforms, custom application metrics, and infrastructure telemetry with enhanced resolution and dimensionality

                     Distributed Tracing & APM: Design and deploy AWS X-Ray distributed tracing architecture integrated with ADOT (AWS Distro for OpenTelemetry) for end-to-end application performance monitoring

                     AppSignals Implementation: Configure AWS AppSignals for automatic service-level objective (SLO) tracking, anomaly detection, and application health monitoring

                     Dashboard & Alerting: Create CloudWatch dashboards with cross-service correlation, CloudWatch Alarms with composite alarms, and EventBridge-based alert routing to incident management systems

                     Infrastructure as Code: Develop CloudFormation templates (CFT) for repeatable observability stack deployment across multi-account/multi-region environments

                     Cost Optimization: Optimize CloudWatch costs through metric filtering, log retention policies, and efficient query patterns while maintaining observability coverage

Key Deliverables:

                     Migration runbooks from Datadog/Splunk to CloudWatch ecosystem

                     ADOT Collector configurations for custom metrics and traces

                     CloudWatch dashboard templates for application and infrastructure monitoring

                     CloudFormation templates for observability stack automation

                     Alert escalation policies and runbook automation

                     Cost optimization recommendations and implementation

AWS Skills & Services (added)

Observability & Monitoring:

                     Amazon CloudWatch: Expert-level proficiency in CloudWatch Metrics V2 (high-resolution metrics, metric math, anomaly detection), CloudWatch Logs (Logs Insights queries, subscription filters, metric filters), CloudWatch Alarms (composite alarms, alarm actions), and CloudWatch Dashboards (cross-account/cross-region dashboards, custom widgets)

                     AWS X-Ray: Distributed tracing architecture, service maps, trace analysis, sampling rules, X-Ray SDK integration, and X-Ray daemon configuration

                     AWS Distro for OpenTelemetry (ADOT): ADOT Collector deployment (ECS/EKS/EC2), OpenTelemetry SDK instrumentation, exporters configuration (CloudWatch, X-Ray, Prometheus), and custom metric pipelines

                     AWS AppSignals: Service-level objective (SLO) configuration, automatic instrumentation, anomaly detection, and application health scoring

                     Amazon Managed Service for Prometheus (AMP): Prometheus-compatible metrics collection, PromQL queries, and Grafana integration (if hybrid monitoring required)

                     Amazon Managed Grafana (AMG): Dashboard creation, data source integration (CloudWatch, AMP, X-Ray), and role-based access control

Logging & Analytics:

                     CloudWatch Logs Insights: Advanced query syntax, saved queries, query visualization, and log pattern analysis

                     Amazon OpenSearch Service: Centralized log aggregation (if replacing Splunk), index management, and Kibana dashboards

                     AWS CloudTrail: API activity monitoring, CloudTrail Insights for anomaly detection, and integration with CloudWatch Logs

Alerting & Incident Management:

                     Amazon EventBridge: Event-driven alerting, custom event patterns, cross-account event routing, and integration with incident management tools (PagerDuty, Opsgenie)

                     Amazon SNS: Multi-channel alert notifications (email, SMS, Lambda, SQS), topic subscriptions, and message filtering

                     AWS Chatbot: Slack/Microsoft Teams integration for alert notifications and interactive runbook execution

Infrastructure as Code & Automation:

                     AWS CloudFormation: StackSets for multi-account deployments, nested stacks, custom resources, and drift detection for observability infrastructure

                     AWS CDK: Programmatic infrastructure definition for complex observability patterns

                     AWS Systems Manager: Parameter Store for configuration management, Automation documents for remediation runbooks, and OpsCenter for incident tracking

 Container & Compute Monitoring:

                     Amazon ECS/EKS: Container Insights, ADOT sidecar deployment, service mesh observability (AWS App Mesh), and pod-level metrics

                     AWS Lambda: Lambda Insights, custom CloudWatch metrics from Lambda functions, and X-Ray tracing for serverless applications

                     Amazon EC2: CloudWatch agent configuration, custom metrics publishing, and Systems Manager integration

Networking & Security:

                     Amazon VPC: VPC Flow Logs analysis, network performance monitoring, and Transit Gateway metrics

                     AWS Network Firewall: Firewall logs integration with CloudWatch, alert rules for security events

                     AWS IAM: Fine-grained access control for CloudWatch resources, cross-account monitoring roles, and service-linked roles

                     Cost Management:

                     AWS Cost Explorer: CloudWatch cost analysis, usage patterns, and cost allocation tags

                     AWS Budgets: Cost alerts for observability services, anomaly detection for unexpected spend

Migration & Integration:

                     Datadog/Splunk Migration Patterns: Understanding of Datadog APM, metrics, and log forwarding to design equivalent CloudWatch solutions; Splunk HEC (HTTP Event Collector) to CloudWatch Logs migration strategies

Third-Party Integrations: Webhook integrations, API-based metric ingestion, and custom CloudWatch metric publishers

Financial Services & Industry Skills (added)

                     Large regulated financial-services delivery with formal change-control, audit and risk governance

                     Operational resilience expectations including RTO/RPO, multi-region DR and evidence for audit review

                     Awareness of applicable controls and regulations such as DORA, NIST CSF 2.0, PCI DSS, SEC cyber rules, RegSCI and SIFMU/FMI expectations where relevant

                     Ability to create Tech Risk-ready documentation including ADRs, runbooks, design docs, threat models and validation evidence

                     Clear communication with client engineering, security, SRE, data and platform stakeholders as an embedded SME

Certifications / Qualifications

                     AWS Certified Solutions Architect - Associate / Professional

                     AWS Certified Developer - Associate

                     AWS Certified DevOps Engineer - Professional preferred

Skills

AWS
PCI DSS
Service Mesh
Splunk
CDK
CloudFormation
Datadog
Grafana
HTTP
Kibana
PagerDuty
Prometheus

Similar jobs