Junior Solutions Architect – MLOps, Real-Time Data Integration

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and execute scalable real-time data integration and Change Data Capture (CDC) solutions utilizing the Striim platform.

• Create streaming data architectures that link enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.

• Develop data pipelines that facilitate machine learning workflows, feature engineering, model inference, and real-time AI applications.

• Construct proof-of-concepts, reference architectures, and deployment patterns for enterprise-level implementations.

• Configure, enhance, and troubleshoot data pipelines in both cloud and hybrid environments.

• Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, address complex technical challenges, and enhance platform capabilities.

• Engage in architecture reviews, implementation planning, and production readiness activities.

• Produce technical documentation, architecture diagrams, and best practices for implementation.

• Assess emerging technologies in the fields of AI, MLOps, cloud computing, and real-time data streaming.

⛳️ Requirements

• 1–3 years of professional experience or equivalent graduate research, internships, or project work in data science, machine learning, data engineering, cloud engineering, or solution architecture.

• Strong foundational knowledge in data science, encompassing machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.

• Familiarity with contemporary MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.

• Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.

• Understanding of modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.

• Practical knowledge of relational and NoSQL databases, including proficiency in SQL and fundamental database administration.

• Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.

• Proficiency in programming with Python or Java, and experience with REST APIs and JSON.

• Understanding of Docker containers and contemporary DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.

• Strong analytical, troubleshooting, written, and verbal communication skills.

• Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.

• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field.

🏝️ Benefits

• Competitive salary and pre-IPO stock options

• Comprehensive health care plans (medical, dental, and vision), including medical and dependent FSA

• Paid Time Off (Vacation, Sick & Public Holidays)

• The opportunity to contribute to and shape a vibrant, fully engaged culture