TechBiz Global

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Software Engineer who is responsible for leading complex, high-impact projects from initiation through delivery. The ideal candidate is a proactive leader with exceptional communication, organizational, and stakeholder management skills.

We are looking for a hands-on Software Architect to define, design, and help deliver a next-generation video content automation, scheduling and distribution platform used across our portfolio of 130+ YouTube channels. You will split your time between technical leadership (50%)—architecture, standards, planning, direction—and contributing code (50%) across backend services, automations, pipelines, and UI components.

You’ll work closely with the Product owner, end-users, and stakeholders across the business to translate complex operational workflows into scalable technical solutions. You will also directly manage a blend of onshore and offshore developers, ensuring clarity of tasks, code quality, and delivery velocity.

This is a strategic and highly technical role with real ownership and visible impact on the operations of the company. The team also manages a number of other critical infrastructure tools, analytics platforms and asset libraries that will also require software design leadership as we move through the our strategic technology roadmap.

Architecture & Technical Direction (50%)
Define the system architecture for our products, focussing on our scheduling and automation platform, spanning backend services, data pipelines, APIs, and UI layers.
Set technical standards for code quality, security, observability, CI/CD, and cloud deployment.
Build and maintain the architectural roadmap, ensuring scalability to >500 video uploads/week and multi-channel automation workflows.
Drive decisions on storage models, event flows, orchestration, API boundaries, and data schemas.
Own the technical implementation strategy for GCP-based components (BigQuery, Firestore, Cloud Functions, Cloud Run, Pub/Sub, Composer/Airflow).
Design frameworks for automation, title processing, workflow orchestration, and validation pipelines.


Leadership & Delivery Management
Work with the Director of DTP and PM to define the backlog, scope projects, and break work into clear deliverables.
Lead daily engineering operations across onshore and offshore teams, ensuring productivity and alignment.
Review and approve architecture proposals, pull requests, and system changes.
Mentor mid-level developers, set standards, and support their technical growth.
Help coordinate QA and release processes, ensuring stable, safe rollouts.


Hands-On Engineering (50%)
Contribute production-grade code in Python, TypeScript/React, and GCP environments.
Build backend services (Cloud Run / Cloud Functions), data pipelines, scheduling engines, and workflow automation.
Implement UI components in React/Next.js for dashboards, scheduling calendars, and admin tooling.
Optimise end-to-end performance of scheduling algorithms, metadata extraction flows, and content management workflows.

Stakeholder Engagement
Collaborate with channel managers, editors, rights teams, and operations stakeholders to understand real-world constraints.
Participate in user interviews and feedback loops to validate product assumptions.
Communicate technical trade-offs and prioritisation clearly to non-technical audiences.
Support PM in roadmap planning, phased delivery, and discovery cycles.

Required Skills & Experience
6+ years in software engineering, including 2+ years in senior or architect-level roles.
Strong hands-on experience with Python, including building production APIs and async workflows.
Solid experience with React / TypeScript for admin UIs and dashboards.
Deep understanding of GCP, including:
BigQuery
Firestore
Cloud Storage
Pub/Sub
Cloud Functions / Cloud Run
IAM & service accounts

Experience designing and scaling distributed systems, workflow engines, or scheduling/pipeline software.
Strong SQL and data modelling skills, ideally with analytics and ETL familiarity.
Demonstrated experience managing and coordinating offshore and onshore development teams.
Ability to balance technical excellence with pragmatic delivery.

Nice-To-Have
Experience with media platforms, digital content pipelines, or YouTube CMS / YouTube API
Familiarity with ML/AI classification, embeddings, transcript-based tagging, or automation-first workflows.
Exposure to Airflow / Dagster / Prefect for orchestration.
Experience with high-throughput scheduling or rules engines.

As a Junior Data Scientist, you will contribute to the development and delivery of data science products, working alongside senior data scientists. You will be involved in implementing and refining supervised learning, bandit algorithms, and generative AI models, as well as supporting
experimentation and analysis.
You will write production-quality Python code, collaborate on cloud-based deployments, and help translate data insights into actionable recommendations that drive business impact. This role provides hands-on experience while allowing you to take ownership of well-scoped components
within larger projects.
This is a fantastic opportunity for an early-career data scientist with an analytical background to join and grow within a market leading digital content agency and media network.
 

• CORE RESPONSIBILITIES
  
  Model Development: Assist in developing, testing, and improving machine learning
  models, with a focus on bandit algorithms and experimentation frameworks.
  Experimentation: Support the setup, execution, and analysis of A/B tests and online experiments to evaluate the impact of our generative AI-driven products.
  Production Support: Assist with deploying and monitoring models and experiments on GCP (Airflow, Docker, Cloud Run, SQL databases, etc.), following existing patterns and CI/CD workflows.
  Data Analysis: Perform exploratory data analysis, data validation, and basic feature engineering to support modelling and experimentation efforts.
  Collaboration: Work closely with senior data scientists, engineers, and product stakeholders to understand business problems and translate them into actionable tasks.
  
  SKILLS REQUIRED FOR THIS ROLE
  Essential Functional/Job-specific skills
  
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or
  a related field with 1+ years of relevant work experience.
  • Solid foundation in SQL and Python, including experience with common libraries such as
  Pandas, NumPy, Scikit-learn, Matplotlib, and Statsmodels.
  • Basic understanding of supervised learning, experimentation, causal inference, and concepts in
  reinforcement learning and multi-armed bandits.
  • Foundational knowledge of probability, statistics, and linear algebra.
  • Working knowledge of Git, including version control and collaboration through pull requests and
  code reviews.
  • Ability to write good documentation and ability to explain analysis results clearly to technical
  and non-technical audiences
  • Familiarity with deploying machine learning models in production cloud environments (GCP or
  AWS).
   

  Essential core skills:

• Communication
• Collaboration
• Organisation
• Delivering Results
• Solutions Focused
• Adaptability