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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing cloud-based AI and analytics platforms, with a strong focus on Python programming, machine learning model deployment, and collaboration with cross-functional teams. Proficient in technical architecture design, CI/CD processes, and maintaining high-quality code through testing and documentation.
Highest-signal resume keywords
Python ProgrammingMachine Learning Model DeploymentSQL and Relational DatabasesDocker and KubernetesFastAPI and Airflow
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLMachine LearningTestingContainerizationFastAPIAirflowPostgresTimescaleDBKafka
Soft Skills
Proactive MindsetOwnership AttitudeNatural Curiosity
Tools & Technologies
DockerKubernetesCI/CDData Pipelines
Industry Keywords
Cloud-Based PlatformsMining IndustryTechnical ArchitectureR&D
Tech Stack
Tools & technologiesAirflowCloudDockerKafkaKubernetesPostgresPythonSQL
About the role
Key responsibilities & impact- Develop a cloud-based AI/analytics platform for the mining industry
- Participate in technical architecture design, CI/CD development, testing, and code reviews
- Work closely with the data science team on R&D and data pipelines
- Deploy machine learning models and integrate them into the product
- Document design choices and operational knowledge for successful service deployment and operation
- Collaborate with the Product team to align the roadmap with technical capabilities and opportunities
- Take ownership of customer escalations and system downtime incidents related to owned components
Requirements
What you’ll need- 5+ years of programming experience
- Excellent knowledge of Python and its ecosystem
- Experience writing maintainable, well-structured tests
- Solid understanding of SQL and relational databases
- Experience with containerized applications, Docker, and Kubernetes appreciated
- Experience with FastAPI, Airflow, Postgres, TimescaleDB, and Kafka is a strong plus
- Proactive mindset, ownership attitude, and natural curiosity
- Proficiency in English required
Benefits
Comp & perks- Hybrid work options, allowing work both on-site and remotely
- Education budget
- Learning opportunities
- 20 vacation days
- Autonomy and flexibility
- Opportunity to work on cutting-edge AI and cloud technologies
- Meaningful work with visibility into the rationale behind projects and input into solution design
- Start-up agility backed by a global leader
- Opportunity to contribute to real sustainability impact