Site Reliability Engineering (SRE) Architect

Job Description Job Overview Job ID: J52010 Job Title: Site Reliability Engineering (SRE) Architect Location: Atlanta, GA Duration: 12 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C 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 the SRE function, defining standards, blueprints, and frameworks that enable development teams and the 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 the 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 the next level maturity of the 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 enhancements 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 Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr MACHINE LEARNING TECHNOLOGIES LLC