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Xebia

Sr SRE Architect

Xebia, Atlanta, Georgia, United States, 30383

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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: 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 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 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 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) 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 Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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