Staff Data Engineer - AI & Platform

• You want to work at a company that is building impactful, relevant technology. Auvik’s network management software helps IT teams by automating time-consuming tasks, streamlining operations, and mitigating risk. It’s more important than ever to be able to remotely monitor and manage network infrastructure, and with Auvik, IT professionals have that essential visibility and control.

• You want to work with a leadership team who are transparent and trustworthy. Our senior leaders have a vision for Auvik. They are experienced, knowledgeable, approachable, and consistently working hard to drive success, both for the company and the team of people who make it happen.

• You want to work with a product customers love. People rave about what we’ve built. Our customers are smart, aspirational, and highly technical. It pays to get the details right.

• You want regular opportunities for learning and growth. With ongoing feedback from leadership, you’ll find that Auvik encourages you to be your very best. Our onboarding process is thorough and informative because we want to make sure you’re prepared to have a great work experience. We also have programs designed to help you take the next steps you want for your career.

• You want the flexibility to manage your work, your way. We’re a fully distributed team and we’re prepared to continue to support working from home (or the space you choose!). We trust you to get the job done where you feel most comfortable and effective.

What’s this role about?

Auvik monitors and manages networks, servers, endpoints, and SaaS applications for thousands of IT teams. We generate enormous volumes of rich operational data, device telemetry, topology graphs, configuration snapshots, SaaS activity, and more; and we're building AI agents that will turn that data into real-time insight and automated action for our customers.

We're looking for a Staff Data Engineer who will own the data foundation that makes those agents possible.  This is a hands-on, high-impact role where you'll work directly with our engineering leadership as part of our AI team to move fast and ship real things.

What will I be doing?

You’ll focus on:

• Audit and deeply understand our current data landscape: a distributed in-memory database with S3 backing, Kafka-based event streams, and a MySQL relational datastore and define a clear strategy to make that data accessible to AI agents reliably and at low latency.
• Design and build data pipelines that extract, normalize, and enrich operational data from heterogeneous sources into formats suited for AI consumption - including structured context, embeddings, and retrieval-ready datastores.
• Architect and implement the retrieval layer for our AI agents: vector stores, hybrid search, context assembly, and structured tool-call interfaces that let agents query live operational state.
• Work closely with the engineers building our AI agents to understand what data they need, in what shape, at what freshness - and own the systems that deliver it.
• Establish data contracts and access patterns that make it easy and safe for AI agents (and eventually external consumers) to query Auvik's operational data without hammering production systems.
• Evaluate architectural tradeoffs between streaming vs. batch, normalized vs. denormalized models, OLTP vs. OLAP systems, and custom vs. managed services.
• Identify data quality, completeness, and latency issues that would degrade agent performance and drive improvements upstream to fix them.
• Set the technical standard for how we think about data for AI across the engineering org, and mentor senior engineers who will build on the platform you create.
• Partner with engineering leaders to create and execute a pragmatic, long-term data architecture roadmap aligned with business goals.

What are we looking for?

• Deep experience with heterogeneous data systems - you've worked with event streams (Kafka or similar), relational databases, and object storage (S3) and know how to build pipelines that unify them without creating a fragile mess.
• Proven, hands-on experience building data infrastructure for AI or ML systems - feature stores, RAG pipelines, embedding pipelines, vector databases (pgvector, Pinecone, Weaviate, or similar), or agent tool APIs and experience with fine-tuning, hallucinations, and context rotting.
• Strong understanding of what AI agents actually need from data: low-latency retrieval, accurate context assembly, structured grounding, and the ability to query live state - not just batch exports.
• Hands-on experience with agentic coding tools that can plan and implement multi-step changes (e.g., Cursor Agents, Copilot Workspace, Claude Code), including setting guardrails and verifying outputs.
• Experience designing data access patterns with a focus on correctness, freshness, and cost - you understand the tradeoffs between real-time streaming and batch materialization and know when to use each.
• The ability to move fast in ambiguous problem spaces. We have a working product and real data; We appreciate well-considered architecture and are looking for someone who can balance that with practical, incremental delivery.
• Strong communication skills - you'll work directly with AI engineers, product managers, and engineering leadership and need to translate between business needs and technical tradeoffs clearly.
• Familiarity with our stack is a plus: Go, Kafka, Kubernetes, AWS, MySQL, and distributed systems generally.

Our Stack

• Backend: Go, Scala
• Frontend: React (TypeScript), GraphQL
• Infrastructure & Data: Kafka, Kubernetes, AWS
• Datastores: Relational databases, NoSQL and document stores, OLAP systems
• Observability: Logging, metrics, and tracing across distributed systems
  (… and more, depending on your area of focus)

We’re actively hiring for this role and looking to bring someone great onto the team as soon as possible. 
About Auvik

Auvik delivers cloud-based network management software that gives IT teams instant visibility and control over their infrastructure — whether on-site, remote, or dispersed across global networks. Our platform automates network discovery, mapping, monitoring, configuration backups, traffic analysis and alerting, so IT professionals and MSPs can manage complex, multi-site environments with ease.

We’re focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. We are happy to make any accommodations you may need throughout the interview process as well. 

Auvik is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

At Auvik, our hiring process is designed to be personal, transparent, and human-led. Our Talent Acquisition Partners review all resumes, connect with candidates whose skills and experience aligns with the role, and stay in communication with you throughout your journey. If our interests align, you'll meet with a hiring manager, as well as additional members of the hiring team in follow-up conversations. All of your interviews will take place via Zoom.

Before meeting with a hiring manager, we also ask candidates to complete a 5-minute Predictive Index (PI) assessment. This helps us understand and match your strengths and work preferences with roles that will set you up for success.

We use AI tools to support administrative tasks in the hiring process; such as helping source candidates, drafting communications, and interview summaries, so our team can stay focused and present during conversations. We do not use AI tools to interview, screen or assess candidates; or determine who moves forward in the process. We debrief and consider the full context of every conversation before making hiring decisions. We believe hiring requires judgment that can be augmented but, not replaced by AI.