3Pillar Global
1001 - 5000 employees
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private Equity Round on 2021-10
SaaS • Enterprise • Artificial Intelligence
3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.
Senior Platform Engineer, MLOps, Databricks
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3Pillar Global
1001 - 5000 employees
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
💰 Private Equity Round on 2021-10
SaaS • Enterprise • Artificial Intelligence
3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.
📋 Description
• Design, implement, and maintain cloud-native platform to support AI and data workloads. • Build and manage scalable data pipelines for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation and AWS CDK. • Collaborate with AI engineers, data engineers, and platform teams to improve AI model performance. • Drive best practices for observability including monitoring, alerting, and logging. • Integrate AI models and LLMs into production systems for various use cases.
🎯 Requirements
• 7+ years of professional experience in software engineering and infrastructure engineering. • Extensive experience building and maintaining AI/ML infrastructure in production. • Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK. • Expert-level coding skills in TypeScript and Python. • Production-level experience with Databricks MLFlow. • Understanding of containerization (Docker) and hands-on experience with CI/CD pipelines. • Proven ability to design reliable, secure, and scalable infrastructure for ML workloads. • Strong collaboration skills and the ability to partner with cross-functional teams. • **Nice to have:** • Familiarity with emerging LLM frameworks such as DSPy. • Understanding of LLM cost monitoring and latency optimization. • Knowledge of vector databases / embeddings stores (e.g., OpenSearch).
🏖️ Benefits
• Flexible work environment – whether it's the office, your home, or a blend of both. • Part of a global team, learning from top talent around the world and across cultures. • Well-being focus with fitness offerings, mental health plans, and generous time off. • Professional services model enabling career growth and development opportunities. • Equal opportunity employer, valuing diversity and collaboration.
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