Busy Rebel

About the project

We are building a cloud- and data-agnostic process intelligence platform.
The platform connects operational data, KPIs, and process flows to deliver real-time process visibility, analytics, and automation across heterogeneous environments.
The system runs primarily on Google Cloud, supports hybrid deployments, and serves data-heavy, security-sensitive workloads.

Responsibilities:
 

• Operate and evolve GCP infrastructure (VPC, IAM, GKE, Secret Manager).
• Manage Kubernetes workloads in production environments.
• Own GitOps-based CI/CD using Argo CD and Helm.
• Maintain observability stack (Prometheus, Grafana, Loki).
• Support hybrid cloud / customer-VPC deployments.
• Enforce security, access control, and environment isolation.
• Monitor and optimize cost, reliability, and performance.

Required Technical Stack:
 

• Cloud: Google Cloud Platform (GKE Standard, IAM, VPC, Cloud DNS, Secret Manager)
• Containers: Kubernetes, Docker
• CI/CD: Argo CD, Helm, GitHub or GitLab pipelines
• Observability: Prometheus, Grafana, Loki
• Datastores (operational familiarity): PostgreSQL, Redis, Neo4j
• Messaging: NATS or similar
• Runtime environments: Python (FastAPI), Node.js
• Security: Workload Identity, RBAC, secrets management

Requirements:
 

• Proven production experience with Kubernetes on GCP
• Strong understanding of GitOps and declarative infrastructure
• Experience operating data-intensive platforms
• Comfortable supporting hybrid and multi-environment deployments
• Able to work independently in a part-time, remote setup
• Pragmatic, operationally focused, low-ceremony mindset

Nice to Have:
 

• FinOps or cloud cost optimization experience
• Experience in regulated or enterprise environments
• Familiarity with data platforms or analytics workloads

Engagement:
 

• Remote, part-time
• UK or EU timezone preferred
• Hands-on execution role, not advisory

We are building a consumer-facing web platform that helps employees increase their purchasing power through better bill management, exclusive offers, and a rewards model tied to real-world community impact. The product includes member onboarding, group-based experiences, directories, offer discovery, a wallet-style balance and transactions, and contribution flows to vetted community projects.

This is a hands-on role for a designer who can take early concepts and AI-generated prototypes and turn them into a coherent, scalable, implementation-ready product experience.
 

What You’ll Do

• Design and adapt initial concepts into a design system while preserving usability and consistency with the tech stack.
• Bring clarity and usability improvements while remaining aligned with the original product vision.
• Create wireframes, UI mockups, and interaction flows based on evolving requirements.
• Collaborate with developers to ensure smooth implementation of your designs.
• Maintain design consistency across projects and contribute to the growth of our design system.

What You’ll Be Designing

You will work across several core areas of a modern B2C web product:

• Public site and onboarding flows (sign-up, verification, joining a group-based space).
• Member profile and settings, including wallet-like views (balances, history, claims, transfers).
• Discovery and directory UX (search, filters, landing pages for groups, projects, partner businesses).
• Offer and voucher purchasing flows, including clear pricing, value explanation, and trust cues.
• Contribution flows to community initiatives, including attribution and transparency elements.
• Admin-lite interfaces for partners (basic content publishing, program management concepts).

What We’re Looking For
 

Must-have experience:

• 4+ years of experience designing web products, particularly in B2C environments.
• Strong proficiency with Figma and modern AI design tools.
• Ability to work with and adapt existing design systems.
• Experience balancing business requirements, usability, and tech feasibility.

Nice-to-have:

• Familiarity with prototyping tools like Lovable.
• Understanding of responsive design principles and front-end basics.
• Experience working in dynamic or startup environments.

A Unique Collaboration Model

This role involves a tight collaboration with our CEO, who acts as both the visionary and product owner. The CEO often brings unconventional and ambitious ideas to the table, initially shaping them via AI-powered prototyping.

We’re not looking for someone to challenge or redirect this vision, but rather a designer who can embrace the creative challenge, refine the raw concepts, and inject usability and structure, making these ideas come alive in a user-friendly and tech-aligned way.

This calls for someone who is flexible, pragmatic, and capable of navigating ambiguity while staying grounded in solid design principles.

How We Work (Practical Expectations)

• You should be comfortable taking imperfect inputs (rough prototypes, partial requirements, shifting priorities) and turning them into crisp deliverables.
• You will ship in short cycles: concept, wireframes, UI, interaction details, developer handoff, iteration.
• You will document decisions inside the design system to prevent drift as features expand.

Deliverables You’ll Own

• A structured design system (tokens, components, patterns, states, responsive rules).
• Key user journeys mapped end-to-end with interaction flows.
• High-fidelity UI with clear handoff specs (component behavior, edge cases, empty states, error handling).
• Iteration support during implementation (quick feedback loops with engineering).

Engagement

• Contract or part-time to start, with potential to extend based on delivery and product momentum.
• Remote-friendly; collaboration hours should overlap with Europe time zones.

We are looking for a Social Media Manager (instagram, youtube) who can manage our social channels and also create content hands-on. You should be comfortable designing social posts in Figma and making simple Reels with basic motion and clean editing.

What you will do

• Plan and manage our social media content (weekly and monthly).
• Create posts and carousels in Figma (clean layout, strong typography, consistent branding).
• Create Reels/short videos: write simple scripts, edit videos, add captions, and publish.
• Add minimal motion when needed (simple text animation, transitions, UI highlights).
• Post consistently, engage with comments and DMs, and keep the account active.
• Track performance and improve content based on what works.

What we need

• Experience running social media for a product or startup (or strong portfolio showing you can).
• Strong Figma skills for social creatives.
• Good Reels editing skills (CapCut, Premiere, AE, or similar).
• Basic motion skills (simple animations, not high-end production).
• Good writing skills: clear hooks, simple messaging, strong CTAs.
• Reliable execution and ability to deliver content on schedule.

Nice to have

• Experience in B2B SaaS or tech products.
• Paid ads creatives experience.
• Ability to turn product features into content quickly.

Output expectations (example)

• Several posts per week (static + carousels)
• Several Reels per week (short-form video)

About the Platform

We’re building a unified data ecosystem that connects raw data, analytical models, and intelligent decision layers.
The platform combines the principles of data lakes, lakehouses, and modern data warehouses — structured around the Medallion architecture (Bronze / Silver / Gold).
Every dataset is versioned, governed, and traceable through a unified catalog and lineage framework.
This environment supports analytics, KPI computation, and AI-driven reasoning — designed for performance, transparency, and future scalability. (in Partnership with GCP, OpenAI, Cohere)
 

What You’ll Work On

1. Data Architecture & Foundations

• Design, implement, and evolve medallion-style data pipelines — from raw ingestion to curated, business-ready models.
• Build hybrid data lakes and lakehouses using Iceberg, Delta, or Parquet formats with ACID control and schema evolution.
• Architect data warehouses that unify batch and streaming sources into a consistent, governed analytics layer.
• Ensure optimal partitioning, clustering, and storage strategies for large-scale analytical workloads.

2. Data Ingestion & Transformation

• Create ingestion frameworks for APIs, IoT, ERP, and streaming systems (Kafka, Pub/Sub).
• Develop reproducible ETL/ELT pipelines using Airflow, dbt, Spark, or Dataflow.
• Manage CDC and incremental data loads, ensuring freshness and resilience.
• Apply quality validation, schema checks, and contract-based transformations at every stage.

3. Governance, Cataloging & Lineage

• Implement a unified data catalog with lineage visibility, metadata capture, and schema versioning.
• Integrate dbt metadata, OpenLineage, and Great Expectations to enforce data quality.
• Define clear governance rules: data contracts, access policies, and change auditability.
• Ensure every dataset is explainable and fully traceable back to its source.

4. Data Modeling & Lakehouse Operations

• Design dimensional models and business data marts to power dashboards and KPI analytics.
• Develop curated Gold-layer tables that serve as trusted sources of truth for analytics and AI workloads.
• Optimize materialized views and performance tuning for analytical efficiency.
• Manage cross-domain joins and unified semantics across products, customers, or operational processes.

5. Observability, Reliability & Performance

• Monitor data pipeline health, freshness, and cost using modern observability tools (Prometheus, Grafana, Cloud Monitoring).
• Build proactive alerting, anomaly detection, and drift monitoring for datasets.
• Implement CI/CD workflows for data infrastructure using Terraform, Helm, and ArgoCD.
• Continuously improve query performance and storage efficiency across warehouses and lakehouses.

6. Unified Data & Semantic Layers

• Help define a unified semantic model that connects operational, analytical, and AI-ready data.
• Work with AI and analytics teams to structure datasets for semantic search, simulation, and reasoning systems.
• Collaborate on vectorized data representation and process-relationship modeling (graph or vector DBs).

What We’re Looking For

• 5+ years of hands-on experience building large-scale data platforms, warehouses, or lakehouses.
• Strong proficiency in SQL, Python, and distributed processing frameworks (PySpark, Spark, Dataflow).
• Deep understanding of Medallion architecture, data modeling, and modern ETL orchestration (Airflow, dbt).
• Experience implementing data catalogs, lineage tracking, and validation frameworks.
• Knowledge of data governance, schema evolution, and contract-based transformations.
• Familiarity with streaming architectures, CDC patterns, and real-time analytics.
• Practical understanding of FinOps, data performance tuning, and cost management in analytical environments.
• Strong foundation in metadata-driven orchestration, observability, and automated testing.
• Bonus: experience with ClickHouse, Trino, Iceberg, or hybrid on-prem/cloud data deployments.

You’ll Excel If You

• Think of data systems as living, evolving architectures — not just pipelines.
• Care deeply about traceability, scalability, and explainability.
• Love designing platforms that unify data across analytics, AI, and process intelligence.
• Are pragmatic, hands-on, and focused on building systems that last.