
Tangent Works is at a pivotal moment—we’re transforming from an algorithm-first company into a product-driven powerhouse. Our flagship product, TANGENT, is revolutionizing how global leaders like Siemens, Shell, and Nike forecast trends and make real-time decisions. We’re growing fast, with a mission to make predictive analytics more accessible, actionable, and user-friendly for companies worldwide.
We’re seeking a proactive and visionary Platform Engineer who thrives on building scalable, secure, and reliable systems. This role is crucial as you’ll be the end user of a new product we’re developing, shaping the infrastructure of our predictive analytics engine while influencing the user journey and experience.
We’re looking for open-minded individuals with an agile mindset, who love owning outcomes and have the drive to explore, learn, and figure things out independently. If you’re passionate about cloud-native solutions, security-focused engineering, and API development, join us in taking our platform to the next level! 🚀
Key Responsibilities:
1️⃣ Platform Engineering & Cloud Security
- Design and implement secure, scalable, and cost-optimized cloud environments, with a multicloud focus and cloud security best practices.
- Utilize tools like Cloud Custodian for policy enforcement and resource compliance across cloud infrastructure.
2️⃣ Infrastructure as Code (IaC)
- Build and maintain infrastructure using Terraform and other IaC tools.
- Automate deployments and optimize resource management through robust IaC workflows.
3️⃣ Backend & API Development
- Design and maintain RESTful APIs for real-time data analysis.
4️⃣ DevOps & CI/CD Pipelines
- Set up and maintain CI/CD pipelines (e.g., Azure DevOps, Jenkins) for seamless deployments.
- Champion best practices in DevSecOps and automate security checks during the software delivery process.
5️⃣ Data Engineering & Machine Learning (Bonus)
- Support data pipelines and manage distributed data processing workflows in Databricks or equivalent platforms.
- Collaborate with data scientists to integrate machine learning models into production workflows, particularly for time series forecasting.
🔥Skills & Qualifications:
- Cloud Proficiency: 2+ years of Azure experience; familiarity with AWS and/or GCP a nice-to-have.
- IaC: Skilled in Terraform, Cloud Custodian and DevSecOps practices.
- Backend & Data Engineering: Proficiency in Python, REST APIs, and data pipelines.
- ML knowledge (Bonus): Experience with Databricks, and time series forecasting or anomaly detection.
🌟Ideal Candidate Profile:
- Experience Level: 3-5 years in engineering, with a strong focus on backend development, cloud platforms (preferably Azure), and data engineering in Databricks.
- Start-up mindset
✨What We Offer:
- Competitive Compensation: Including meal vouchers, hospitalization insurance, home working allowance, and more.
- Flexible Hybrid Work Environment: Balance office and remote work to suit your lifestyle.
- Growth Opportunities: Access to personalized training, learning platforms (e.g., LinkedIn Learning), and dedicated development days.
- Collaborative Culture: Work alongside passionate innovators in a dynamic, supportive environment.
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