Onebridge

Platform Engineer

• Develop and maintain backend services using Python and FastAPI, ensuring high performance, scalability, and maintainability.
• Design and implement features powered by Generative AI, integrating models and APIs to enhance platform intelligence.
• Build and manage cloud-native applications using AWS services such as Lambda, S3, and DynamoDB to support robust infrastructure.
• Collaborate with product managers, designers, and engineers to deliver well-architected, user-focused technical solutions.
• Participate in code reviews, testing, and debugging to ensure code quality and adherence to best practices.
• Contribute to infrastructure automation using Terraform, supporting CI/CD pipelines and environment consistency.
• Monitor system health, logs, and performance metrics to ensure platform reliability and proactively address issues.

Solutions Engineer

• Architect and implement scalable data solutions using the Databricks Lakehouse Platform, including Medallion architecture, streaming integration, and ACID-compliant designs
• Advise client executives (CTOs, CDOs) on strategic data initiatives, platform evolution, and enterprise-scale architecture decisions
• Lead pre-sales and business development efforts, assessing current-state environments, comparing technologies, and justifying ROI for tailored solutions
• Ensure governance and alignment of delivered solutions with original scope, serving as the escalation point for delivery teams
• Collaborate across cross-functional teams, such as engineering, BI, platform, integration, and AI, to drive innovation and data democratization
• Mentor and guide data teams, leading discussions and technical delivery without formal people management responsibilities
• Stay current on product evolution, including Lakehouse Monitoring, Lake Designer, Delta Sharing, Mosaic AI, and Matrix.

Technical Solution Architect, Databricks

Data Engineer

• Design and operate cloud-native data pipelines that transform complex operational data from legacy systems into modern, scalable products.
• Build and maintain robust ETL/ELT pipelines that ingest, validate, and transform operational data from legacy systems.
• Design and enforce platform data standards, including schema governance and reusable models.
• Develop serverless workflows using AWS-native services like Step Functions, Lambda, S3, ECS, and Terraform.
• Create automation tools that empower non-engineering teams to execute data migrations reliably.
• Embed observability into pipelines with logging, error handling, rollback paths, and monitoring.
• Collaborate with engineering, product, and client-facing teams to define platform standards and long-term vision.
• Build reusable infrastructure to reduce complexity, improve data quality, and accelerate growth; help shape Platform team focused on schema management, validation frameworks, integrations, and automation.

Data Engineer, AWS

Business Intelligence Developer

• Develop and maintain advanced Power BI dashboards and reports aligned with business goals
• Build and optimize data models using DAX and Power Query for performance and usability
• Design and implement custom visuals using Deneb and Vega/Vega-Lite specifications
• Collaborate with stakeholders across geographies to gather requirements and deliver solutions
• Ensure data accuracy, consistency, and security across all visualizations
• Continuously improve existing reports based on feedback and evolving business needs

Power BI Specialist, Deneb

AI Engineer

• Design and implement cutting-edge AI solutions that drive innovation and efficiency
• Architect and develop AI-powered services, tools, and products ensuring scalability, reliability, and performance
• Lead end-to-end project execution from initial concept and design through development, testing, and deployment
• Build and integrate AI models using Azure OpenAI and other Azure AI Services, applying best practices in model training, fine-tuning, and production deployment
• Implement Retrieval-Augmented Generation (RAG) and work with both open-source and proprietary LLMs
• Collaborate with stakeholders across teams to translate business needs into clear technical specifications
• Maintain high standards of quality, CI/CD, and version control (Git/Azure DevOps)
• Stay current with emerging AI technologies and proactively identify opportunities to enhance existing systems
• Work independently and within global teams, contributing to a collaborative and innovative environment while managing tasks with minimal supervision
• Work onsite two days per week in the specified city

Full-stack Engineer

• Design and develop full stack applications that incorporate GenAI models and services
• Build and maintain APIs and backend services using Python frameworks (FastAPI, Flask, Django) focusing on performance and scalability
• Create intuitive front-end interfaces using modern JavaScript frameworks (React, Vue, Angular)
• Integrate GenAI tools and libraries (Hugging Face, LangChain, OpenAI APIs) for natural language processing and content generation
• Collaborate with cross-functional teams to iterate on prototypes, gather feedback, and refine solutions in agile development cycles
• Support cloud deployment and DevOps practices, including containerization (Docker), CI/CD pipelines, and hosting on AWS, Azure, or GCP

Full Stack Developer, GenAI

• Design and maintain scalable data pipelines leveraging AWS (Glue, EMR, Lambda, Redshift, Athena) and Databricks
• Optimize data workflows to improve performance, reliability, and data quality across diverse data sources
• Drive best practices in data engineering including code quality, automation, and CI/CD processes
• Collaborate with data science, product, and business teams to translate requirements into technical solutions
• Evaluate and integrate big data tools and frameworks (Hadoop, Talend, SparkSQL) to enhance the data ecosystem
• Provide technical guidance, establish engineering standards, and shape a modern, scalable data ecosystem

Data Engineer, AWS/Databricks

Infrastructure Engineer

• Lead the design, deployment, and maintenance of Azure AI infrastructure and ML platforms, ensuring scalability, compliance, and reliability
• Build and manage data pipelines for ingesting, storing, and processing structured and unstructured datasets
• Develop and maintain APIs and system integrations with enterprise platforms
• Implement MLOps best practices, including CI/CD pipelines, model deployment workflows, and monitoring model performance in production
• Collaborate with data scientists, compliance experts, and product owners to operationalize AI solutions and deliver actionable insights
• Support dashboards, reporting, and analytics using BI tools to translate complex data into clear insights for business teams

ML Infrastructure Engineer, Azure AI

Engineer

• Support scientists by ensuring accounts, workflows, and documentation are well-organized and easy to use.
• Keep bioinformatics systems running smoothly through testing, quality checks, and proactive monitoring.
• Partner with researchers to analyze immune repertoire sequencing data, provide insights, and answer project-specific questions.
• Translate scientific needs into technical solutions by developing scripts, dashboards, and automations.
• Act as a connector between scientific teams and technical stakeholders, helping both sides get the most out of the platform.
• Provide high-touch support for priority projects, ensuring scientists feel confident and supported at every step.

Bioinformatics Engineer

Content Writer

• Write and edit patient-friendly content for clinical trial web pages, including trial summaries, study duration, inclusion/exclusion criteria, and other key details, using trial protocols as source material.
• Ensure content meets health literacy standards, is easily translatable for global audiences, and supports accessibility across reading levels and cognitive abilities.
• Collaborate with UX, web development, and design teams to align content with user experience goals and contribute to system migrations (e.g., from Contentful to Adobe Experience Manager).
• Expand and update content across research area pages (e.g., oncology, neuroscience, diabetes) and broader website sections.
• Support executive communication needs by simplifying complex medical and business information into clear, visual, and engaging presentations.
• Support graphic design needs for digital or print assets, especially in collaboration with global or capacity-constrained teams.

Regulatory Content Writer, Pharma

• Design and implement scalable data and solution architectures leveraging Databricks Lakehouse Platform
• Partner with clients to understand business objectives and translate them into actionable Databricks solutions
• Participate in pre-sales calls and client workshops, providing technical insights and recommendations
• Deliver hands-on solution design and Databricks development, ensuring data governance, scalability, and best practices
• Drive project execution, aligning stakeholders and guiding teams toward successful delivery without direct people management
• Collaborate across engineering, analytics, and business teams to promote data democratization and innovation

• Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm partnering with large healthcare, life sciences, financial services, and government organizations.
• Design and implement scalable Azure solutions, including App Services, AKS, Functions, SQL, and Storage.
• Lead development and management of CI/CD pipelines using Azure DevOps or GitHub Actions.
• Apply Infrastructure as Code principles using Terraform or Bicep to provision and maintain cloud resources.
• Architect and integrate Azure AI and machine learning services into business solutions.
• Ensure adherence to security and networking best practices within the Azure environment.
• Collaborate with cross-functional teams to identify opportunities for AI/ML adoption and optimize solution performance.

Senior Azure Solutions Architect

Frontend Engineer

• Lead the design, development, and maintenance of responsive dashboards and front-end applications using React.js or Vue.js, ensuring high performance and scalability.
• Collaborate with stakeholders and product teams to translate complex requirements into user-friendly, visually compelling interfaces.
• Apply UX design principles to optimize workflows, enhance usability, and improve overall user experience.
• Conduct thorough testing, mentor team members on best practices, and ensure applications meet quality and accessibility standards.
• Participate in code reviews, establish front-end development standards, and drive continuous improvement initiatives.
• Stay current with emerging front-end technologies and UX design methodologies, providing thought leadership on innovative UI solutions.

Platform Engineer

Technical Solution Architect, Databricks

Data Engineer, AWS

Power BI Specialist, Deneb

AI Engineer

Full Stack Developer, GenAI

Data Engineer, AWS/Databricks

ML Infrastructure Engineer, Azure AI

Bioinformatics Engineer

Regulatory Content Writer, Pharma

Technical Solution Architect, Databricks

Senior Azure Solutions Architect

Front-End Engineer, UX Design