Role Description Zuora’s Cloud Engineering organization owns the reliability, scalability, and operational excellence of our global, customer-facing SaaS platforms. We are seeking a Senior Site Reliability Engineer to play a technical leadership role in advancing Zuora’s reliability strategy with a strong focus on AI-driven automation and intelligent operations . - Reliability Architecture & Platform Strategy: - Own and evolve the reliability architecture of large-scale, distributed SaaS systems. - Define SLOs, SLIs, error budgets, and resilience patterns aligned with business objectives. - Drive system-level improvements across services and regions. - Proactively identify architectural risks, capacity constraints, and failure modes. - Influence platform and application design to improve long-term reliability and operability. - AI-Driven Automation & Intelligent Operations: - Design, build, and operationalize AI-powered automation to reduce operational toil and improve system stability. - Apply AI and machine learning techniques to incident detection, anomaly identification, root cause analysis, auto-remediation, and capacity forecasting. - Advanced Cloud & Infrastructure Engineering: - Lead the design and operation of complex AWS-based infrastructure and Kubernetes platforms. - Define advanced Infrastructure-as-Code patterns using Terraform and configuration management tools. - Incident Leadership & Operational Excellence: - Act as a technical leader during high-severity production incidents. - Establish intelligent incident response mechanisms using automation and AI-assisted diagnostics. - Lead deep post-incident analysis focused on systemic improvements. - Technical Leadership & Cross-Functional Influence: - Influence reliability outcomes beyond the SRE team by partnering closely with Engineering, Product, and Security stakeholders. - Provide technical mentorship to senior and mid-level engineers. - Contribute to the development of new reliability standards, tooling strategies, and operational policies. Qualifications - 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations. - Advanced expertise in AWS, including architecture design across services such as EC2, EKS, VPC, IAM, RDS, S3, and CloudWatch. - Deep experience with Infrastructure-as-Code using Terraform, including complex modules, state management, and governance. - Strong programming and automation skills using Python and Shell. - Expert-level Linux systems knowledge, including performance tuning, security hardening, and deep troubleshooting. - Proven experience operating distributed systems and data streaming platforms such as Kafka in high-throughput environments. - Demonstrated ability to work independently on complex, ambiguous problems with broad organizational impact. - Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives. Requirements - Practical experience designing or implementing AI/ML-driven automation in operations, reliability, or platform engineering. - Experience integrating AI capabilities into monitoring, alerting, incident response, or workflow automation systems. - Strong understanding of how AI can be safely and effectively applied in production environments. Benefits - Competitive compensation, variable bonus and performance reward opportunities, and retirement programs. - Medical Insurance. - Generous, flexible time off. - Paid holidays, “wellness” days and company-wide end of year break. - Paid parental leave. - Learning & Development stipend. - Opportunities to volunteer and give back, including charitable donation match. - Free resources and support for your mental wellbeing.

Exciting Opportunity at Hologic: Become a Lead Cloud DevOps Platform Engineer! Are you a Cloud DevOps Platform expert eager to drive innovation in healthcare? Join Hologic’s Breast & Skeletal Health Division as a Lead Cloud DevOps Platform Engineer and play a pivotal role in transforming the developer experience for medical device software. As the primary bridge between cloud strategy and day-to-day developer operations, you will design, build, and maintain our Internal Developer Platform (IDP), ensuring our teams ship innovative solutions with high velocity, security, and push-button compliance. This role may sit in Newark, DE, Santa Clara, CA, Marlborough, MA or can sit remotely. This is your chance to be part of something truly transformative and contribute to advancements in women's health. Key Responsibilities: Platform as a Product: Design and evangelize a self-service platform that allows developers to provision compliant infrastructure (databases, clusters, storage) via code or a developer portal. Technical Leadership and Mentorship: Provide technical guidance and mentorship to DevOps engineers, fostering their professional growth and ensuring team success. Architectural Governance: Design resilient, multi-region cloud architectures (AWS/Azure) that meet HIPAA, GDPR, and ISO 13485 standards. Infrastructure as Code (IaC): Develop and maintain a library of hardened, reusable Terraform or Pulumi modules that "bake in" security and logging by default. Developer Experience (DevEx): Conduct regular "friction audits" to identify where developers are getting stuck in the pipeline and build automated solutions to remove those hurdles. Security & Compliance Automation: Collaborate with security to integrate automated "Compliance as Code" checks, ensuring every deployment generates an immutable audit trail for FDA/MDR submissions. Cost & Performance Strategy: Lead FinOps initiatives to optimize cloud spend and design for high availability and low-latency performance in clinical environments. Cross-Functional Collaboration and Documentation: Partner with IT, Security, and Development teams to create shared solutions, and maintain thorough documentation of processes and tools. Continuous Improvement and Technology Evaluation: Stay current with industry best practices, evaluate new technologies, and drive continuous improvement within the DevOps environment. Ideal Candidate Profile: Systems Thinking: The ability to see how a small change in a Terraform module affects the entire regulatory posture of the product. Developer Empathy: A genuine desire to make life easier for software engineers; they should view "The Platform" as their product. You are comfortable collaborating with developer through code so you can meet them where they are. Communication: The ability to explain complex architectural trade-offs to both executive leadership and junior developers. Growth Mindset: The ability to embrace learning and development for yourself and the team. Travel Flexibility: Be available for travel to Hologic offices, training, conferences, and customer sites. Autonomous Alignment: Work with minimal supervision while aligning with strategic intentions and corporate priorities. Global Regulatory Environment: Ensure continuous awareness and adherence to regulatory requirements for our development environments and solutions. Qualifications: Education: Master's or Bachelor's degree in Computer Science, Management Information Systems, Engineering, or a related technical field. Experience: 6+ years of experience with Azure (preferred), GCP, or AWS, specifically focused on IAM, VPC networking, and managed services (EKS, RDS, Lambda). Skills & Certifications: - Orchestration Expert: Deep expertise in Kubernetes (designing and troubleshooting clusters, not just using them) and container security. - Automation Specialist: Advanced proficiency in CI/CD tooling (GitHub Actions, Azure DevOps, or Jenkins) and configuration management (Ansible/Terraform). - Security Mindset: Practical experience implementing "Zero Trust" architectures and managing secrets (HashiCorp Vault, AWS Secrets Manager). - Distributed Cloud Native Application Debugging: Ability to troubleshoot complex distributed applications at scale with complex data ingestion workflows that require the highest security to comply with a highly regulated environment. - Software Engineering Skillset: Ability to navigate and understand large code based in multiple languages like C#, C++, Python, and Java. - Collaboration as Code: Ability to make operational systems and processes easily repeatable; comfortable with complex scripting and building CLI applications in Python or similar languages. - Communication Skills: Excellent verbal and written communication skills. - Certifications: Relevant DevOps (e.g., Azure DevOps Engineer Expert), cloud, and security (e.g., CISSP/CCSP) certifications are strongly preferred. So why join Hologic? We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you. If you have the right skills and experience and want to join our team, apply today. We can’t wait to hear from you! The annualized base salary range for this role is $128,200 - $200,500 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand. Agency and Third-Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered. As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. LI-#DS1 #remote #hybird

• Asegurar que los proyectos de nuestros clientes se ejecutan en tiempo y forma • Gestionar proyectos de Infraestructura Microsoft Cloud a medida • Realizar la toma de requerimientos, definición, análisis y seguimiento de todo el ciclo de vida de los proyectos • Garantizar el Gobierno y Seguridad de los proyectos en términos de calidad, productividad, eficiencia y eficacia • Gestionar Financiera de los Servicios y Proyectos • Gestión de los Proveedores de los Servicios y Proyectos

Role Description We are seeking an experienced Senior AWS Cloud Data & BI Architect to lead the implementation of a cloud-based data ingestion, transformation, analytics, and business intelligence reporting platform for our Finance team. This project will build a scalable, secure, and automated data ecosystem leveraging services such as AWS Lake Formation, AWS Glue, Amazon S3, Amazon Athena, and Amazon QuickSight (also known as Quick Suite), with infrastructure managed via Terraform. The successful contractor will play a key role in designing, implementing, and optimizing a modern financial data platform that enables accurate reporting, analytics, and strategic insights. Key Responsibilities - Design and implement a secure, scalable AWS-based data lake and analytics architecture - Develop automated data ingestion pipelines from financial and operational systems - Build ETL/ELT workflows using AWS Glue and related services - Configure and manage data governance and access controls using AWS Lake Formation - Optimize storage and query performance in Amazon S3 and Amazon Athena - Develop dashboards and financial BI reports in Amazon QuickSight - Apply infrastructure-as-code principles using Terraform - Ensure data quality, integrity, and consistency across financial datasets - Translate finance team requirements into technical data models and reporting solutions - Collaborate with finance stakeholders to define KPIs, metrics, and reporting structures - Implement best practices for security, cost optimization, and performance tuning Technical Expertise - Strong hands-on experience with: - Terraform (infrastructure as code) - AWS Lake Formation - AWS Glue (ETL development) - Amazon S3 (data lake design and management) - Amazon Athena (query optimization and performance tuning) - Amazon QuickSight (dashboarding, dataset modelling, row-level security) - Experience designing and implementing data lakes and analytics architectures in AWS - Solid DBA skills (data modelling, indexing, query optimization, schema design) - Strong SQL expertise - Experience with data transformation, validation, and pipeline orchestration - Background in data analysis and statistical analysis Business Intelligence & Analysis - Advanced proficiency in Microsoft Excel (financial modelling, pivot tables, Power Query, complex formulas) - Experience with BI reporting tools (e.g., QuickSight and other enterprise BI platforms) - Ability to design executive-level dashboards and operational reports - Strong understanding of KPIs, metrics, and performance measurement frameworks Bonus Skills & Experience - Experience integrating or working with the following platforms is highly desirable: - Xero (financial accounting system integration and reporting) - HubSpot (CRM data integration for revenue reporting) - Harvest (time and project cost tracking integration) - Airtable (operational data integration and workflow support) - Experience building ingestion pipelines from SaaS platforms via APIs, webhooks, or third-party connectors is a strong advantage Finance Domain Knowledge (Preferred) - Experience working with financial datasets and reporting environments, including: - Understanding of financial reporting structures, such as revenue, cost of sales, gross margin, and operating expenses - Experience building or supporting financial reporting models (P&L, revenue reporting, cost analysis) - Ability to structure and model financial KPIs and metrics used in executive reporting - Familiarity with budget vs. actual and variance analysis reporting structures - Experience designing data models that support financial reporting hierarchies and time-based analysis (monthly, quarterly, YTD) - Practical exposure to financial system data structures, such as: - General ledger exports - Billing and revenue data - Cost and project accounting data - CRM revenue pipeline data - Experience working with Finance stakeholders to translate reporting requirements into technical datasets and dashboards - Understanding of data accuracy, reconciliation, and auditability requirements in financial reporting environments Qualifications - 8+ years of experience in data engineering, cloud data platforms, or BI solutions - Proven experience delivering end-to-end AWS data solutions - Strong analytical thinking and problem-solving skills - Excellent stakeholder communication skills - Ability to work independently in a contract role and deliver within tight timelines Deliverables - By the end of the 3-month engagement, the contractor will have: - Implemented a production-ready AWS-based financial data platform - Delivered automated ingestion and transformation pipelines (including SaaS integrations where applicable) - Established governed, secure data access controls - Developed validated financial dashboards and BI reporting for the Finance team - Documented architecture, processes, and operational procedures