Full Stack Engineer

3 weeks ago


Perth, Western Australia Drill Insight Full time

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Direct message the job poster from Drill Insight

AI & Digital Transformation Leader | Driving AI/ML for Oil & Gas – Field Development, Drilling Optimisation, Reservoir Characterisation &…

About Us

Drill Insight is a premier provider of AI-powered technology services and digital subsurface solutions headquartered in Perth, Australia, with active operations and offices across the North Sea, UK, Middle East, Asia Pacific, and Australia — including strategic hubs in Dubai, Kuala Lumpur, and India.

At Drill Insight, we deliver Data-Driven Insights – Powered by AI. We specialize in developing hybrid machine learning (ML) models, generating subsurface intelligence, enhancing reservoir characterisation, optimizing field development and drilling, and ultimately maximizing production outcomes for our global clients.

Having successfully executed over US $22.6 million in contracts, our impact is driven by an elite team of 16 multidisciplinary experts spanning data science, artificial intelligence, geoscience, well engineering, reservoir engineering, geology, geophysics, and project management. Our strength lies in integrating traditional oilfield expertise with cutting-edge ML/AI and digital technologies, enabling unparalleled optimization across subsurface, drilling, and production domains.

One of our flagship successes was a strategic collaboration with SNOC (Sharjah National Oil Corporation), where we combined traditional subsurface and reservoir engineering with advanced ML and neural network models to:

  • Unlock inefficiently drained reservoir zones
  • Refine well placement and drilling trajectories
  • Optimize field development planning
  • Boost well productivity by an astonishing 500%

Our agile, cross-functional approach—uniting data scientists, geoscientists, and engineers in collaborative, rapid-iteration cycles—has transformed operational workflows, accelerated decision-making, and delivered measurable value in drilling performance and production optimization.

With a mission to reshape how data science drives the energy industry, Drill Insight empowers operators to unlock the full potential of their fields—more safely, more efficiently, and more intelligently.

We are developing a Well Review Automation System — a state-of-the-art platform to ingest, analyse, and visualise drilling and well data, extract lessons learned, identify performance opportunities, and generate actionable insights. This will involve data science integration, advanced ML models, intuitive dashboards, and a powerful Graphical User Interface (GUI) for end users.

Role Overview

We are seeking a highly skilled Full Stack Developer with experience in building data-intensive applications, integrating ML/AI pipelines, and delivering interactive dashboards. You will be responsible for designing, developing, and deploying both front-end and back-end components of the Well Review Automation System.

You will work closely with data scientists, petroleum engineers, drilling experts, and UI/UX designers to bring this product from concept to deployment. Your work will directly contribute to improving well planning, execution, and risk management in the energy sector.

Key Responsibilities

  • Full Stack Development: Design, develop, and maintain scalable front-end and back-end architectures for the Well Review Automation System.
  • Machine Learning & AI Integration: Collaborate with data scientists to deploy hybrid ML models (e.g., combining physics-based and data-driven approaches) into production environments.
  • Data Pipeline Development: Build secure, high-performance APIs to handle structured/unstructured drilling and subsurface data from multiple sources.
  • Dashboard & GUI Design: Create interactive visualisations, performance dashboards, and report-generation tools tailored to drilling and subsurface engineering workflows.
  • Automation Workflows: Implement automated ingestion, processing, and reporting pipelines for offset well reviews and risk analysis.
  • Security & Compliance: Ensure solutions comply with industry data security and privacy standards.
  • Testing & Deployment: Write unit/integration tests, manage CI/CD pipelines, and oversee deployments to cloud/on-prem environments.
  • Collaboration: Work in Agile sprints with geoscience, drilling, and data science teams.

Required Skills & Experience

  • Back-End: Experience with Node.js, FastAPI, Django, or Flask for API development.
  • Front-End: Skilled in responsive, interactive UI development and visualisation libraries (e.g., D3.js, Plotly, Chart.js).
  • Databases: Proficiency in PostgreSQL, MySQL, or NoSQL solutions (MongoDB, Elasticsearch).
  • Machine Learning Integration: Experience deploying ML models into production (MLflow, TensorFlow, PyTorch, or Scikit-learn).
  • Cloud Platforms: Familiarity with AWS, Azure, or GCP.
  • DevOps: CI/CD tools (GitHub Actions, Jenkins), containerisation with Docker/Kubernetes.
  • Domain Understanding: Exposure to Oil & Gas workflows, drilling operations, or engineering data is highly desirable.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related discipline.
  • Experience in energy industry software (drilling, well engineering, or production optimisation tools).
  • Knowledge of probabilistic risk analysis and data visualisation in engineering contexts.
  • Familiarity with WITSML, LAS, and industry-standard drilling data formats.

What We Offer

  • Opportunity to work on a cutting-edge product at the intersection of energy and AI.
  • Collaboration with a multidisciplinary expert team.
  • Flexible work arrangements (onsite, hybrid, remote).
  • Competitive remuneration and performance-based incentives.
  • The chance to influence digital transformation in the oil and gas industry.

How to Apply

Send your CV, portfolio, and relevant project examples to abhijit.barhate@drillinsight.com.au with the subject line:

  • Application – Full Stack Developer (Well Review Automation)
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesOil and Gas

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