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We're looking for a Head of Research to establish and lead our research group - a strategic and hands-on leadership role for someone who thrives at the intersection of AI, infrastructure, and systems innovation. You'll identify high-impact research directions, validate cutting-edge technologies, and drive new approaches that translate into long-term competitive advantage for us. This is not an academic position, but an opportunity to build a research function that directly shapes product and technology.

Define and lead the company's research agenda in AI, infrastructure, and distributed systems.
Explore and evaluate new algorithms, architectures, and approaches relevant to large-scale AI workloads and cloud cost efficiency.
Collaborate with product and engineering to translate research into real-world impact.
Build and manage a small, high-caliber research team.
Publish findings, represent us in the AI/infrastructure research community, and establish partnerships with academia and industry.
Act as a thought leader driving innovation across the company.

We're seeking a talented, experienced Frontend Engineer to join our Engineering team, tackling complex engineering challenges daily, improving our solutions, and driving innovation in Kubernetes optimization while working with cutting-edge technologies alongside major cloud providers such as AWS, GCP, and Azure.

Join a team of top-notch, skilled professionals building our core product offering.
Build a world-class Kubernetes resource management platform that improves the productivity of DevOps teams across the world.
Own the design and implementation of top-tier UI components, ensuring a smooth user experience.
Enjoy a high degree of autonomy and responsibility.
Make a high impact on the company's future, working on the core product while collaborating with top-tier engineers in a culture of innovation.

What You'll Be Doing
Lead and mentor the DevOps team, driving technical excellence, collaboration, and professional growth.
Own the company's cloud infrastructure strategy across multi-cloud environments, ensuring scalability, reliability, security, and cost efficiency.
Define and drive the DevOps roadmap, including infrastructure architecture, automation, CI/CD, observability, and operational best practices.
Partner closely with R&D, Product, and Engineering leadership to design and deliver scalable, production-ready solutions.
Lead infrastructure and architectural decisions, evaluating and implementing new cloud technologies and open-source solutions.

We're looking for a DevOps / Platform Engineer to own our infrastructure end to end- both sides of it.
Side one is our multi-tenant SaaS on AWS: you build it, you run it, you keep it fast, secure, and up. Side two is the part that makes this role unusual - our enterprise customers deploy Avon AI inside their cloud (and sometimes fully air-gapped, on-prem environments). You'll own that too: packaging the platform, running the installation with the customer's infrastructure and security teams, and being the person on the call when their environment doesn't look like anyone's reference architecture.
This is a customer-facing engineering role. You'll be in rooms with enterprise IT, security, and platform teams- walking them through our architecture, answering security review questions, and unblocking deployments. If you want a pure behind-the-scenes infra job, this isn't it. If you like owning infrastructure and being the trusted technical voice in front of a customer, read on.
You'll be our first dedicated DevOps hire, which means you inherit real systems in production and a lot of room to shape how they evolve.
Key Responsibilities
EKS, networking, data stores, CI/CD, cost, and uptime. Build and evolve it with Infrastructure as Code.
Maintain and improve our Helm charts and container distribution so Avon AI installs cleanly in a customer's Kubernetes cluster.
Plan and execute installations in customers' private clouds and on-prem/air-gapped environments, working hands-on with their infrastructure teams from kickoff through go-live.
Support security reviews and architecture discussions, and translate enterprise IT constraints back into our roadmap.
IAM, network segmentation, secrets management, WAF, and the controls enterprise customers audit us on.
Metrics, logs, tracing, and alerting for our SaaS, and self-contained monitoring for customers who won't ship telemetry outside their network.
CI/CD pipelines, ephemeral PR sandboxes, release automation, and local development so engineers ship quickly and safely.
For our SaaS tenants and for deployed customer installations, including on-call ownership of what you build.

As a DevOps Engineer, you'll be a technical authority in everything cloud-native - leading feature development, making key architectural decisions, and collaborating with cross-functional teams to drive innovation.

Take an active role across all DevOps areas: our infrastructure and cloud environment, tools, services, and uptime.
Contribute to the product's architectural and infrastructure design; evaluate and implement new cloud technologies and open-source tools to improve delivery and availability of the product.
Plan and drive the growth and scale of data capacity across products.
Own the smooth, production-grade execution of delivered solutions.

We are seeking a highly experienced, AI-obsessed AI Senior Backend Engineer to join our core Engineering department. In this newly created, cross-functional role, you will be the driving force behind the companys internal AI transformation. You will act as the responsible for artificial intelligence, architecting, building, and deploying custom AI and automation systems from scratch to empower various departments and streamline operations.
Key Responsibilities
Architect, develop, and deploy tailored AI systems and applications from the ground up to solve organizational challenges.
Identify process bottlenecks across different teams and design robust backend automation solutions to optimize daily workflows.
Lead the hands-on integration of modern Generative AI models, APIs, and frameworks into the company's internal infrastructure.
Build scalable, high-performance backend microservices and APIs to support heavy data processing and AI workloads.
Act as the technical AI focal point, partnering closely with internal stakeholders and department heads to gather requirements and deliver high-impact technological solutions.
Collaborate with product, DevOps, and other teams to ensure that AI solutions are aligned with user needs and business goals.

We are looking for a highly motivated and technically curious QA Engineer to join our Backend Infrastructure team on a 1-year fixed term contract. In this role, you will validate large-scale enterprise backend systems used in healthcare environments, ensuring quality, reliability, performance, and operational stability
Your role:
Design and execute functional, integration, system, regression, and end-to-end manual tests for backend infrastructure components and complex distributed systems.
Validate installation, upgrade, migration, configuration, backup, recovery, and deployment workflows across single-server, clustered, distributed, and cloud-based environments.
Work closely with software engineers, DevOps, automation teams, and product stakeholders to investigate failures, improve testing strategies, verify fixes, and contribute to reliable software releases.
Investigate Windows, IIS, networking, database, and service-level issues by analysing logs, diagnostics, system behaviour, and infrastructure dependencies.
Participate in reliability improvement initiatives, design reviews, and post-incident investigations to strengthen overall product quality throughout the development lifecycle.

The successful BI Team lead, will play a key role in managing and growing a team responsible for delivering impactful data products and solutions.
As a BI Team Lead, you will oversee the personal and professional development of your team, while also being the main point of contact for client-facing data initiatives. Youll drive data strategy and contribute to new initiatives that support cross-company objectives. This role involves collaborating with product managers, business stakeholders, and leadership to design, develop, and maintain scalable analytics solutions. You will also enhance the companys understanding of key business metrics by building automated tools and insightful visualizations in a rich data environment.
You will also be responsible for integrating AI and machine-learning capabilities into BI solutions, including developing automation processes and AI agents to support decision-making.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of our companys research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists in the Auto loans research team as well as across the research department
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory.

We're forming a new AI Group and looking for a Senior AI Engineer to help shape it from an early stage - a greenfield, long-term effort to evolve how decisions are made across our platform using AI-driven systems. You won't just integrate APIs or build demos; you'll build the AI brain that works alongside (and increasingly drives) our core automation engine, with real production impact from day one and room to grow into technical leadership as the group scales.

Agentic AI Architecture: Design and build autonomous AI agents that analyze infrastructure in real time and make intelligent decisions. Work with modern agentic frameworks (LangGraph, PydanticAI) and conversational AI to create multi-agent systems - including troubleshooting, optimization, FinOps, and how-to agents. Leverage core LLM capabilities (tool-use, memory, retrieval) to operate safely in production.
Platform Integration & Intelligent Decision Systems: Develop MCPs to expose our capabilities to AI agents that reason over infrastructure environments, metrics, configurations, and cost signals. Build integrations with tools like Slack, Jira, and AI-powered IDEs (Cursor, Windsurf) to deliver context-aware insights, from "why is this pod not scheduling?" to "how can we reduce costs by 30% safely?"
AI Model Development & MLOps: Build and deploy machine learning models that learn from infrastructure patterns - detecting the right resource policies for workloads, predicting optimal scaling triggers, and recommending GPU configurations. Own the complete ML pipeline from training to production, ensuring models are reliable, monitored, and continuously improving.
R&D AI Tools Development & Adoption: Build and embed internal AI tools to accelerate engineering, development, research, and support.
AI Tools for Business Impact: Develop AI-powered tools that help Sales and Support teams demonstrate value instantly - agents that analyze customer infrastructure, generate cost optimization reports automatically, and turn technical data into clear business recommendations.
End-to-End Ownership: Own AI systems from concept to production, ensuring they're fast (sub-2-second responses), reliable, safe, and cost-effective. Build evaluation frameworks to measure quality, implement security controls, and balance performance tradeoffs in production.
Technical Leadership: Define AI architecture and best practices as a founding member of the AI team. Make key technical decisions - choosing frameworks, designing multi-agent systems, establishing data governance - and shape how we evolve from AI-enhanced internal tools to customer-facing AI products.

What You'll Be Doing
Join our Business Operations team and build the systems and automations that help us operate and grow.
Turn business processes into working solutions across Salesforce and our wider technology stack.
Build and maintain Salesforce workflows, integrations, and automations.
Connect tools such as Gong, Apollo, n8n, Jira, Slack, and AI platforms so information moves reliably between systems and teams.
Build practical AI solutions using Claude and other LLM tools to improve how teams work.
Partner with GTM, Product, R&D, and other teams to understand their needs and implement solutions.
Improve data quality, build reports and dashboards, and document the systems and processes you create.
Take ownership of projects that directly affect how the company operates and scales.

We are seeking an experienced Technical Lead - Hardware Engineering to lead the technical development of advanced electronic systems and manage external hardware design contractors throughout the product lifecycle. The role is responsible for defining the hardware architecture, supervising outsourced development, ensuring engineering quality, and supporting projects from concept through production.
Key Responsibilities
Define hardware architecture and technical requirements. Lead and manage external hardware design contractors. Review and approve schematics, PCB layouts, and design documentation. Oversee High-Speed PCB design, SI/PI, DFM, and design reviews. Lead prototype bring-up, debugging, validation, and production support. Collaborate with system, FPGA, Firmware, Software, Mechanical, Manufacturing, and Quality teams. Drive technical problem solving and continuous improvement.

What You'll Be Doing
IT Operations & Infrastructure: Own global IT operations, infrastructure, endpoints, hardware, and day-to-day IT support.
CAPEX & Procurement: Own IT budgeting, procurement, vendor management, and technology investments.
Multimedia & Office Buildouts: Design and deploy AV, conference room, and hybrid meeting solutions across global offices.
Identity & Google Workspace: Own Okta and Google Workspace administration, including user lifecycle, access, SSO, MFA, and policies.
Security & Compliance: Implement IT security controls, manage access reviews and security incidents, and support SOC 2 / ISO 27001 compliance.
IT Strategy & Standards: Establish IT policies, standards, and processes while driving scalable solutions across a global organization.