Role Description Looking for Philippines-based candidates. Job Role: Analytics Engineer Compensation range: $2,000 AUD - $3,000 AUD / Monthly Engagement type: Independent Contractor Agreement Work Schedule: This role is expected to align with the AU business hours (approx. 9 AM - 5 PM, Monday to Friday) for collaboration, but as a contractor, you’ll have flexibility in how you manage your time. The analytics engineer builds the Gold layer and dbt Semantic Layer for each dataset phase. Where the senior data engineer builds the pipeline plumbing, the analytics engineer builds the business metrics — translating the metrics register definitions into governed, tested Gold models and MetricFlow metric definitions. This role sits closest to the business, requiring both technical depth and the ability to work directly with business stakeholders during metric validation sessions. The analytics engineer must be able to explain metric calculation choices in plain English, not just write the SQL. In Run steady state, the analytics engineer role will take on support with AI monitoring responsibilities. New Gold model build volume drops significantly post go-live, freeing capacity for NLQ quality monitoring, LLM agent uptime, and Cortex ML model maintenance. Candidates should be comfortable with this evolution and ideally have some exposure to LLM API integration or ML monitoring. Key Responsibilities - Build Gold layer dbt models, including metric-level aggregations, KPI tables, and denormalized summary tables optimized for BI consumption in Sigma. - Author dbt Semantic Layer metric definitions using MetricFlow, including sell-through, out-of-stock (OOS) rate, conversion rate, average order value (AOV), weeks cover, and other metrics defined in the business metric register. - Populate and maintain the business glossary for each completed dataset, including metric definitions, calculation notes, known caveats, ownership, and data lineage. - Participate in business validation sessions with the onshore team and business stakeholders to ensure Gold metrics align with agreed metric register definitions prior to handover to Run operations. - Author and maintain dbt Explorer documentation, including model descriptions, column descriptions, and metric definitions to ensure the semantic layer remains fully self-documenting. - Support ongoing Run operations by managing metric change requests, implementing new Gold model additions, monitoring Cortex ML models, maintaining Claude NLQ context updates, and tracking AI agent uptime and performance. - Collaborate with stakeholders and cross-functional teams to validate business requirements, clarify KPI logic, and ensure consistent metric governance across the platform. Qualifications - Advanced experience with dbt Semantic Layer and MetricFlow, including metric definitions, dimensions, entities, measures, and time spines. - Advanced SQL expertise, including metric calculation logic, window functions, ratio metrics, and period-over-period comparisons. - Basic Python scripting skills for automation and monitoring-related tasks. - Intermediate experience with Power BI or other self-service BI platforms, with the ability to validate Gold layer outputs within BI environments. - Intermediate experience with Atlan or similar data cataloguing platforms, including catalogue administration, glossary authoring, and lineage review. - Strong retail domain knowledge, with a clear commercial understanding of metrics such as sell-through, OOS rate, clearance percentage, return rate, and AOV. - Strong communication and stakeholder management skills, with the ability to clearly present metric validation findings to non-technical business stakeholders. - Experience using Claude API or similar AI tooling to translate business metric register rules into dbt Gold model SQL. - Familiarity with Cortex Analyst YAML generation for scaffolding Semantic Layer definitions aligned with metric register requirements. - Experience monitoring Cortex ML models, including Forecasting and Anomaly Detection performance, and triggering retraining workflows when necessary. - Understanding of NLQ (Natural Language Query) context management, including maintaining governance and semantic layer context that supports AI-powered business user interfaces. - Exposure to LLM APIs, Snowflake Cortex, or similar AI-driven analytics platforms, whether in production, prototype, or personal project environments. Run Steady State Scope - Manage metric change requests by updating Gold models and Semantic Layer definitions as business rules and KPI definitions evolve. - Monitor AI agent performance, including NLQ answer quality, identifying model drift, escalating issues to the lead engineer, and updating AI system prompt context as new datasets are introduced. - Oversee Cortex ML maintenance by monitoring forecast accuracy and triggering retraining processes when performance falls below agreed thresholds. - Build and maintain new Gold model additions as the organization expands the Gold layer and introduces additional business metrics. What Good Looks Like - Demonstrates genuine enthusiasm for building a modern data platform from the ground up. - Can independently translate plain-English metric definitions (e.g., “net sales excluding shipping, gift cards, and staff purchases”) into dbt Gold model SQL and MetricFlow YAML. - Has prior experience in stakeholder-facing environments, including presenting data findings, answering questions from non-technical users, and defending calculation methodologies. - Brings curiosity and adaptability when working with emerging AI technologies, semantic layers, and modern analytics engineering practices. Work Arrangement & Expectations This is a remote role that will be set up as an independent contractor engagement. To ensure alignment and transparency, successful candidates will be expected to: - Disclose any existing ongoing roles or client work. - Reflect this engagement on their LinkedIn profile (clearly marked as “Independent Contractor”).

• Act as the primary technical authority on-site, becoming an expert in the customer’s domain to identify and resolve real-world friction points before they escalate. • Design and implement data architectures that accelerate AI/ML training pipelines, ensuring low-latency data access across hybrid-cloud environments. • Build custom integrations, automation scripts, and "last-mile" solutions that bridge the gap between Hammerspace’s core product and the client’s bespoke infrastructure. • Use your proximity to the action to identify new business problems, expansion opportunities, and emerging workloads that Hammerspace can solve. • Partner with our Rotational Sustaining Engineering team to translate field-discovered bugs into core product features, ensuring that local fixes become global platform strengths. • Translate complex technical hurdles into clear, actionable insights for both end-users (data scientists/IT admins) and executive leadership.

• Design, architect, and ship full-stack features that directly solve our customers compliance challenges • Own the technical relationship with key customers; implementing solutions, gathering requirements, and translating feedback into product improvements • Build scalable services and APIs that power our LLM compliance platform while keeping the customer experience front and center • Make high-impact technical decisions quickly, knowing that you'll be accountable to both our engineering standards and our customers • Challenge assumptions on "why" and "how", you'll directly influence what we build and how we build it • Shape our product roadmap and engineering practices as we scale from Series A to market leadership

Title: Staff Escalations Engineer Location: Escazu, CRI Job Description: About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for an Staff Escalation sEngineer to join our team in a hybrid capacity based in Costa Rica, reporting to the Sr. Manager, Product Support. The Staff Escalations Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Staff Escalations Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information. What you’ll do (Role Expectations) - Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation - Interface with Engineering and assist the customer with testing or troubleshooting - Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams - Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base - Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle Who You Are (Success Profile) - You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. - You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. - You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. - You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success. - You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team. What We’re Looking for (Minimum Qualifications) - 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products - Practical knowledge of networking and security products and enterprise network infrastructure - Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR - Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN - Working knowledge and hands-on experience with Ubuntu and Python What Will Make You Stand Out (Preferred Qualifications) - Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows - Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments #LI-IA1 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: - Various health plans - Time off plans for vacation and sick time - Parental leave options - Retirement options - Education reimbursement - In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.