SRE Leader

Cyberobotix LLC; Georgia; On-site; USD 180,000 - 240,000; Full time

Job summary

Cyberobotix LLC is seeking an SRE Architect to lead reliability strategy and design across critical services on AWS. You will establish standards, blueprints, and frameworks that enable development teams to build and operate resilient systems, while guiding observability maturity and AI-driven reliability initiatives.

As a technical leader, you will mentor engineers, drive SLIs/SLOs, and oversee architectural reviews, production readiness, and toil reduction.

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, 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

Responsibilities

• Reliability Strategy & Design: Architect and design highly available, scalable, secure, and cost-effective infrastructure and application patterns on AWS.
• Define and evangelize SRE best practices, standards, and blueprints for service design, deployment, monitoring, and operational readiness across the engineering organization.
• Review current observability implementation to identify gaps and define steps to reach next level maturity of observability setup.
• Lead definition and implementation strategy for SLIs, SLOs, and Error Budgets for critical services.
• Platform Architecture & Automation: Design solutions to reduce operational toil through automation and improved system design.
• Evaluate current SRE tools and automation frameworks and suggest enhancements to improve capability.
• Evaluate, prototype, and recommend new technologies, tools, and methodologies to enhance reliability, developer productivity, and operational efficiency.
• Technical Leadership & Consultation: Act as a senior technical advisor on reliability, scalability, and performance for development and platform teams.
• Provide architectural guidance during the design phase of new services and features to ensure reliability principles are embedded early.
• Mentor and coach other SREs and engineers, fostering technical excellence and adherence to SRE principles.
• Lead architectural reviews and production readiness assessments for critical systems.
• Resilience: Lead blameless postmortems and drive architectural improvements.
• Architect and advocate resilience patterns within applications and infrastructure.
• Define and drive the organization's AIOps strategy using AI/ML and Generative AI capabilities.
• Design intelligent operational platforms with AI agents and telemetry analytics for proactive issue detection and remediation.
• Architect AI-powered production intelligence solutions that correlate logs, metrics, traces, and deployment events for insights.
• Establish AI governance for production operations including explainability, security, and human-in-the-loop controls.
• Collaborate with Data/Platform/Application teams to develop AI-enabled reliability use cases.
• Establish mechanisms to continually improve AI model effectiveness and reliability of AI-driven decisions.

Skills

SRE principles

Cloud design & AWS

Observability design

Automation & tooling

Architectural leadership

Container orchestration

Programming/scripting

Communication & leadership

Proactive reliability culture

Tools

Kubernetes

Docker

Dynatrace

Prometheus

Grafana

ELK/EFK Stack

Jaeger

OpenTelemetry

Job description

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:

Reliability Strategy & Design: Architect and design highly available, scalable, secure, and cost-effective infrastructure and application patterns on AWS

Define and evangelize SRE best practices, standards, and blueprints for service design, deployment, monitoring, and operational readiness across the engineering organization

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

With overall maturity lead the definition and implementation strategy for Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets for critical services

Platform Architecture & Automation: Design solutions to systematically reduce operational toil through automation and improved system design

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

Evaluate, prototype, and recommend new technologies, tools, and methodologies to enhance system reliability, developer productivity, and operational efficiency

Technical Leadership & Consultation: Act as a senior technical advisor and subject matter expert on reliability, scalability, and performance for development and platform teams

Provide architectural guidance during the design phase of new services and features to ensure reliability principles are embedded early (shift-left)

Mentor and coach other SREs and engineers, fostering technical excellence and adherence to SRE principles

Lead architectural reviews and production readiness assessments for critical systems

1. Resilience:

Lead blameless postmortems for significant incidents, ensuring root causes are identified and systemic architectural improvements are prioritized and implemented

Architect and advocate for resilience patterns (e.g., circuit breaking, rate limiting, graceful degradation, chaos engineering) within applications and infrastructure.

2 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.

3 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.

4 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.

5 Establish architectural patterns for AI-assisted incident triage, impact analysis, service dependency intelligence, and automated remediation workflows.

6 Lead the adoption of Agentic AI frameworks, MCP (Model Context Protocol) integrations, and enterprise AI platforms to improve developer productivity and operational effectiveness.

7 Define governance frameworks for AI usage in production operations including explainability, auditability, security, risk management, and human-in-the-loop controls.

8 Partner with Data Engineering, Platform Engineering, and Application teams to develop AI-enabled reliability use cases and operational copilots.

9 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