Hiring Site Reliability Engineer - Phoenix AZ(Hybrid)

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Pavan

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Aug 25, 2026, 12:38:57 PMAug 25

to pa...@vrdmtech.com

Hi,

Hope you are doing Good !!!

This is Pavan working with VRDM Technologies. we are looking for the below Resource if you are interested in this position, please share me updated resume along with the details below to pa...@vrdmtech.com.

Title : Site Reliability Engineer

Location : Phoenix AZ(Hybrid)[Locals Only]

Duration : Long Term Contract

Visa : USC, GC, GC EAD, L2 EAD, H4 EAD, Canadian-TN

Job Description

We are seeking a highly experienced Journey-Centric Lead Site Reliability Engineer (SRE) with Banking and Financial Services (BFS) domain experience to drive end-to-end reliability, observability, automation, and operational excellence across critical customer and business journeys. This role will lead the design and implementation of modern SRE practices, unified observability platforms, self-healing capabilities, AI-driven operations, and workflow automation to ensure highly resilient, scalable, and intelligent digital services.

The ideal candidate combines deep SRE expertise with strong platform engineering, cloud operations, networking, observability, and AI Ops experience, with a particular focus on AWS AgentCore-powered operational intelligence and autonomous operations.

Key Responsibilities

SRE & Reliability Engineering

Define and implement enterprise-scale SRE best practices across critical applications and digital journeys.
Establish reliability frameworks, operational standards, and governance models.
Drive proactive reliability engineering initiatives to improve system availability, resilience, and performance.
Lead incident management, postmortem analysis, root cause investigations, and reliability reviews.

Unified Observability & Monitoring

Design and implement a unified observability strategy encompassing metrics, logs, traces, events, and user experience telemetry.
Build comprehensive observability dashboards for business and technology stakeholders.
Implement distributed tracing and end-to-end monitoring across complex microservices ecosystems.
Define observability standards and instrumentation frameworks across engineering teams.

Log Analytics & Trace Correlation

Enable unified logs, metrics, and trace correlation capabilities for rapid issue detection and troubleshooting.
Deploy intelligent correlation engines for root cause analysis.
Improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through observability-driven insights.
Establish service dependency mapping and journey-centric operational visibility.

Self-Healing & Autonomous Operations

Design and implement self-healing capabilities using event-driven automation and AI-assisted remediation.
Develop automated recovery processes for common failure scenarios.
Create autonomous operational workflows that minimize manual intervention.
Integrate predictive alerting and automated response mechanisms.

Automation & Workflow Engineering

Build scalable operational automation frameworks.
Develop infrastructure, application, observability, and operational workflows using Infrastructure as Code (IaC), Monitoring as Code (MaC), and Observability as Code (OaC).
Automate deployments, monitoring, remediation, and operational runbooks.
Reduce operational toil through intelligent engineering solutions.

SLO, SLA & Error Budget Management

Define and govern measurable Service Level Objectives (SLOs), Service Level Agreements (SLAs), and Error Budgets.
Partner with engineering and business teams to align reliability targets with customer expectations.
Establish service maturity metrics and reliability scorecards.
Drive data-driven operational decision-making through reliability KPIs.

Network & Platform Reliability

Apply deep understanding of:

Understanding of network layer to troubleshoot critical bandwidth/latency issues
No need to pass all these:
TCP/IP
DNS
Load Balancing
CDN
API Gateway architectures
Service Mesh technologies
VPC and cloud networking

Troubleshoot complex network performance and availability issues.
Ensure end-to-end reliability across cloud and hybrid environments.

AI Ops & AWS AgentCore

Implement and operationalize AI Ops platforms and autonomous operations capabilities.
Leverage AWS AgentCore to build intelligent operational agents for functions like:

Incident response
Root cause analysis
Predictive remediation
Capacity forecasting
Automated operational workflows

Drive adoption of GenAI-powered operational intelligence across the enterprise.
Integrate AI-assisted observability, automation, and service management solutions.