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The role is remote. We are seeking candidates located in LATAM.Project Overview  We are seeking a QA Automation Lead to drive Enumerate’s quality strategy, oversee the development of automated testing frameworks, and provide leadership in building a modern QA function. The role goes beyond hands-on automation engineering; it requires strategic vision, leadership, and the ability to champion AI-enhanced QA practices across teams. The engagement will be executed under a Contractor of Record arrangement and structured as project-based work, with clear deliverables and measurable outcomes.  Key Project Responsibilities   Strategic Leadership: Define the vision and roadmap for automated testing and quality engineering at Enumerate. Framework Oversight: Guide the architecture and evolution of scalable test automation frameworks. AI-Forward QA Innovation: Identify and implement opportunities to use AI for intelligent test case generation, self-healing tests, defect prediction, and quality insights. Team Coaching: Mentor engineers and cross-functional teams on QA best practices, automation adoption, and quality mindset. Cross-Functional Collaboration: Partner with product management, engineering, and delivery coaches to ensure quality is built into every stage of the development lifecycle. Governance & Metrics: Define quality standards, KPIs, and reporting mechanisms to monitor and communicate quality health across projects. Continuous Improvement: Drive retrospectives and implement improvements in QA strategy and practices.  Project Deliverables  Quality strategy and automation roadmap tailored for Enumerate’s AI-driven products. Leadership in delivering automated test frameworks across multiple projects. AI-enhanced QA proof-of-concepts and integrations into development pipelines. Coaching and upskilling sessions for delivery and engineering teams. Dashboards and reports on quality metrics and delivery readiness.  Required Qualifications  Proven experience as a QA Automation Lead, QA Manager, or Senior Test Architect. Demonstrated ability to define and execute QA strategies at an organizational or program level. Deep expertise in automated testing frameworks, CI/CD integration, and modern software delivery practices. Strong leadership and mentoring skills with distributed/remote teams. Solid understanding of software development life cycles and quality processes.  Preferred Qualifications  Experience implementing AI-driven QA solutions Familiarity with cloud-native architectures and testing strategies for distributed systems. Background in testing AI/ML-enabled applications. Excellent communication and stakeholder management skills, with the ability to influence leadership  

Role Overview We’re looking for a Senior Site Reliability Engineer who can own the architecture, governance, and cost efficiency of our cloud and platform infrastructure. In this role you’ll design and evolve our production environments, define standards and best practices, and partner with engineering and IT teams to build scalable, reliable systems that are easy to operate and cost-effective to run. You’ll be a hands-on technical leader: designing reference architectures, building CI/CD and automation pipelines, leading incident response practices, and setting guardrails around security, reliability, and cost management across our platforms. This role is a remote contractor role. We are seeking candidates located in LATAM. Key Responsibilities Architecture & Infrastructure Ownership Design, implement, and evolve cloud infrastructure architectures for high availability, reliability, security, and scale. Define and maintain reference architectures and patterns for services, applications, and environments across the organization. Develop workflow processes and standards for building, deploying, and maintaining applications within a distributed architecture. Lead infrastructure modernization initiatives (e.g., containerization, Kubernetes adoption, infrastructure as code, platform consolidation). Governance, Standards & Cost Management Establish and enforce governance standards for infrastructure, CI/CD, observability, and operational practices. Define and maintain policies for environment management, access control, configuration management, and change management. Implement cost management practices (e.g., tagging, budget alerts, rightsizing, reservations/committed use, auto-scaling policies) to optimize cloud spend. Partner with product and engineering leadership to balance performance, reliability, and cost-efficiency across environments. Use DORA metrics and industry benchmarks to drive continuous improvement in delivery and operational performance. CI/CD, Automation & Operations Design, implement, and maintain CI/CD pipelines for multiple applications and environments using tools such as Git, Azure DevOps, GitLab, or Jenkins. Develop and manage automation pipelines for deployment, configuration, and infrastructure management. Build and maintain monitoring, alerting, and logging systems to ensure visibility, high availability, and performance of applications and services. Manage cloud infrastructure resources and services to ensure reliability, security, and scalability. Incident Management & Reliability Lead incident response efforts, including triage, root cause analysis, and post-incident reviews. Contribute to and maintain incident response processes, runbooks, and on-call practices. Partner with engineering teams to design resilient systems and reduce mean time to recovery (MTTR). Leadership, Mentorship & Cross-Functional Collaboration Collaborate with software engineering, QA, product, and IT teams to determine the best way to tackle complex infrastructure, security, and delivery challenges. Mentor engineers in DevOps and platform practices, tools, and standards across the organization. Lead departmental initiatives related to DevOps, platform engineering, and infrastructure disciplines; present plans and progress to stakeholders. Drive new department initiatives based on organizational needs and your expertise in modern technologies and industry trends. Stay current on emerging technologies, tools, and best practices; evaluate their potential application within our tech stack. Required Experience BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 6+ years of experience with container orchestration services (Kubernetes preferred). 6+ years of experience administering and deploying CI/CD tooling (e.g., Git, Azure DevOps, Jira, GitLab, Jenkins). 6+ years of experience managing scalable applications in one or more major cloud providers. 8+ years of significant experience with both Windows and Linux operating system environments. 7+ years of experience with scripting and automation using tools such as PowerShell, Bash, or Python. 4+ years of experience with infrastructure-as-code and orchestration platforms (e.g., Terraform, ARM/Bicep, CloudFormation, Ansible, etc.). Demonstrated expertise designing architectures for scalable, reliable, and secure tech stacks in distributed systems. Demonstrated expertise implementing workflow processes for operating and maintaining applications in distributed architectures. Qualifications & Skills Strong experience working in agile-leaning software development environments and across varying application stacks. Deep understanding of best practices and IT operations in distributed, cloud-native architectures. Experience defining and implementing governance and guardrails around infrastructure, CI/CD, and security. Strong grasp of cloud cost management and optimization techniques (e.g., usage analysis, rightsizing, scaling policies). Excellent problem-solving, troubleshooting, and incident management skills. Excellent oral and written communication skills; capable of presenting complex technical concepts to technical and non-technical audiences. Process-oriented with strong documentation skills and attention to detail. Ability to translate loosely defined product or platform requirements into robust, scalable technical solutions.