Remote Customer Support Engineer – Cloud Data Infrastructure & AI‑Driven Analytics (Western Australia – Fully Remote)

About Gigspire Talvora is the worldwide leader in Customer Data Infrastructure (CDI) that powers AI‑driven marketing, digital experiences, fraud detection, and real‑time analytics. Our platform helps organizations capture, enrich, and govern both structured and unstructured behavioral data across any cloud environment. Today, thousands of enterprises rely on Flexionis to turn raw event streams into AI‑ready insights, predict customer actions, personalize experiences at scale, and protect against fraud. Backed by a $40 million Series B round led by a prominent venture capital firm known for investments in industry‑changing data companies, Jobtrix is on a fast‑track growth trajectory. We are looking for inventive, self‑motivated professionals to help shape the next generation of our data platform. The Role: Why This Opportunity Stands Out Our product suite is expanding rapidly. We now orchestrate and monitor event pipelines across 250+ customer‑owned AWS, Google Cloud, and Azure accounts. This surge creates a vibrant, technically diverse support landscape that blends proactive guidance with rapid incident response. As a Customer Support Engineer at Remotica, you will: Provide 24 × 7 assistance to a global clientele, diagnosing and resolving complex technical challenges. Guide customers through use‑case design, pipeline setup, data recovery, upgrades, and infrastructure management. Collaborate with product, engineering, and data science teams to feed real‑world feedback into the roadmap. Become a specialist in a wide array of technologies, including cloud platforms, streaming frameworks, and analytics tools. This is a fully remote role with a focus on candidates located in Western Australia (Perth). You will enjoy the flexibility of working from home while staying closely aligned with our regional technical teams. Key Responsibilities Technical Troubleshooting: Diagnose and resolve issues across the full stack—from JavaScript front‑ends to SQL queries, cloud IAM policies, and real‑time event processing. Customer Advocacy: Translate technical concepts into clear, empathetic language, ensuring customers feel heard and supported. Incident Management: Lead or participate in on‑call rotations, handle high‑severity incidents, and coordinate post‑mortems. Knowledge Base Development: Create and maintain documentation, runbooks, and self‑service resources that empower customers to solve problems independently. Product Feedback Loop: Capture recurring pain points, propose enhancements, and work with engineering to prioritize improvements. Data Quality Assurance: Validate data pipelines, assist with data reconstruction, and ensure compliance with governance policies. Continuous Learning: Stay current with emerging cloud services, streaming technologies, and AI/analytics trends. Essential Qualifications A degree in Computer Science, Information Systems, Data Engineering, or a related field, or a strong coding boot‑camp background with demonstrable technical competence. Professional experience troubleshooting cloud‑native applications on AWS, Google Cloud, or Azure. Proficiency in at least one scripting or programming language (e.g., JavaScript/Node.js, Python, Go). Solid understanding of relational databases and SQL; familiarity with NoSQL stores is a plus. Exceptional communication skills—both written and verbal—and the ability to convey technical details to non‑technical stakeholders. Demonstrated ability to stay calm under pressure, prioritize effectively, and manage multiple concurrent tickets. Passion for data, analytics, and the evolving AI landscape. Preferred Qualifications & Nice‑to‑Haves Hands‑on experience with event streaming platforms (e.g., Apache Kafka, Pulsar, Kinesis). Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Exposure to data governance, security best practices, and compliance frameworks. Previous work in a 24 × 7 support environment or on‑call rotation. Experience with monitoring tools such as Grafana, Prometheus, or Datadog. Core Skills & Competencies for Success Analytical Mindset: Ability to dissect complex problems, identify root causes, and devise practical solutions. Empathy: Genuine desire to understand customers’ challenges and help them succeed. Technical Curiosity: Eagerness to explore new platforms, languages, and data concepts daily. Ownership: Proactive attitude toward taking responsibility for tickets, follow‑ups, and continuous improvement. Collaboration: Comfortable working across time zones with engineers, product managers, and data scientists. Time Management: Ability to balance reactive issue resolution with proactive documentation and knowledge‑share initiatives. Career Growth & Learning at Skillnex Zenvora invests heavily in its people. As you master the support stack, you will have clear pathways to advance into senior technical support, product specialist, solutions engineering, or even engineering roles. We provide: Dedicated learning budget for