Senior Reliability Engineer Jobs in Cumming, GA (NOW HIRING)

Hi,

Job role: SRE consultant

Locals to Georgia- hybrid/ long term contract

Role Summary:

As an SRE Architect, you will be a pivotal technical leader responsible for designing, building, and evolving the foundational systems and practices that ensure the reliability, scalability, performance, and efficiency of our critical services.

Moving beyond day-to-day operations, you will focus on the strategic architectural direction of SRE function, defining standards, blueprints, and frameworks that enable development teams and fellow SRE operations team to build and operate highly

resilient systems.

Leverage deep expertise in software engineering, distributed

systems, cloud infrastructure, and SRE principles to influence technology choices,

establish best practices, and foster a proactive culture of reliability across the

organization and much beyond observability pillar.

Key Responsibilities:

1. Reliability Strategy & Design:

o Architect and design highly available, scalable, secure, and cost

effective infrastructure and application patterns on AWS

o Define and evangelize SRE best practices, standards, and blueprints for

service design, deployment, monitoring, and operational readiness

across the engineering organization

o Review current observability implementation to identify gaps and define

steps to reach next level maturity of observability setup to provide deep

insights into system health and behaviour

o With overall maturity lead the definition and implementation strategy for

Service Level Indicators (SLIs), Service Level Objectives (SLOs), and

Error Budgets for critical services

2. Platform Architecture & Automation:

o Design solutions to systematically reduce operational toil through

automation and improved system design

o Evaluate current SRE tools and automation frameworks (e.g., CI/CD

pipelines, Infrastructure as Code modules, automated incident

remediation, chaos engineering platforms) and suggest enhancement

that will help overall enhancement of capability

o Evaluate, prototype, and recommend new technologies, tools, and

methodologies to enhance system reliability, developer productivity, and

operational efficiency

3. Technical Leadership & Consultation:

o Act as a senior technical advisor and subject matter expert on reliability,

scalability, and performance for development and platform teams

o Provide architectural guidance during the design phase of new services

and features to ensure reliability principles are embedded early (shift

left)

o Mentor and coach other SREs and engineers, fostering technical

excellence and adherence to SRE principles

o Lead architectural reviews and production readiness assessments for

critical systems

4. Resilience:

o Lead blameless postmortems for significant incidents, ensuring root

causes are identified and systemic architectural improvements are

prioritized and implemented

o Architect and advocate for resilience patterns (e.g., circuit breaking, rate

limiting, graceful degradation, chaos engineering) within applications

and infrastructure.

5. AI-Driven Operations & Intelligence

• Define and drive the organization's AIOps strategy, leveraging AI/ML and

Generative AI capabilities to improve observability, incident management,

root cause analysis, capacity forecasting, and operational efficiency.

• Design and implement intelligent operational platforms that use AI agents,

knowledge graphs, telemetry analytics, and automation frameworks to

proactively detect, diagnose, and remediate production issues.

• Architect AI-powered production intelligence solutions that correlate logs,

metrics, traces, configuration data, deployment events, CMDB, cloud

services, and dependency mappings to generate actionable operational

insights.

• Establish architectural patterns for AI-assisted incident triage, impact

analysis, service dependency intelligence, and automated remediation

workflows.

• Lead the adoption of Agentic AI frameworks, MCP (Model Context Protocol)

integrations, and enterprise AI platforms to improve developer productivity

and operational effectiveness.

• Define governance frameworks for AI usage in production operations

including explainability, auditability, security, risk management, and human

in-the-loop controls.

• Partner with Data Engineering, Platform Engineering, and Application teams

to develop AI-enabled reliability use cases and operational copilots.

• Establish mechanisms to continuously evaluate and improve AI model

effectiveness, hallucination mitigation, operational accuracy, and reliability

of AI-driven decision making.

Required Qualifications:

• Proven experience in an architectural role, designing solutions for reliability,

scalability, and performance

• Deep understanding and practical application of SRE principles (SLIs/SLOs,

error budgets, toil reduction, automation, incident management, postmortems)

• Experience designing and implementing AIOps, AI-powered observability, or

intelligent automation solutions to improve incident detection, root cause

analysis, operational efficiency, and service reliability.

• Working knowledge of Generative AI, AI agents, MCP (Model Context

Protocol), RAG architectures, and enterprise AI platforms, with experience

building or operationalizing AI-enabled engineering tools in production

environments.

• Expertise in cloud computing platforms (e.g., AWS) including infrastructure,

networking, and security services

• Strong experience with containerization and orchestration technologies

(Kubernetes, Docker, serverless computing)

• Solid experience designing and implementing observability solutions (e.g.,

Dynatrace, Prometheus, Grafana, ELK/EFK Stack, Jaeger, OpenTelemetry)

• Strong programming/scripting skills (e.g., Python, Go, Bash) for automation and

tool development

• Excellent analytical, problem-solving, and strategic thinking skills.

• Strong communication, collaboration, and leadership skills with the ability to

influence technical direction across teams

Preferred Qualifications:

• Experience designing and implementing chaos engineering practices and

platforms