Company Description DNAnexus is the leading cloud-based SaaS company serving the global life science community. DNAnexus’ health informatics platform serves customers across a spectrum of industries — government, biopharmaceutical, clinical diagnostics, healthcare, and academic research in 33 countries with compliant protection of data, privacy, and intellectual property. The platform provides a secure and collaborative environment where genomics, multi-omics, and real world data can be combined with clinical data at scale, providing new insights that can lead to improved diagnostics, new targeted therapies and better patient care. Job Description Team Summary Our platform manages over 125 petabytes of data, processes 50 billion records, and handles 3 billion API calls monthly. With thousands of users depending on us, there is a clear imperative to leverage powerful frontier LLM models and execute on DNAnexus’ Agentic Platform. The platform enables agent-based systems to provide clinical and molecular data workflows in a highly scalable and regulated (PHI) environment. The goal is to enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud. We’re Looking For - A strong background in bioinformatics, computational biology, or a related scientific field. Candidates who can help us nurture this knowledge within the team. - Extensive experience with large-scale data processing and analysis pipelines (e.g., WES, WGS, RNA-Seq). - Experience developing and integrating with LLMs, RAG systems, or other agentic frameworks for scientific data workflows is highly desirable. - Proficiency with relevant bioinformatics tools and databases, we will integrate this to Agentic pipelines Responsibilities - Design, develop, and deploy core components of the DNAnexus Agentic Platform, focusing on robust, scalable, and secure systems for genomic and multi-omic data analysis. - Integrate advanced LLM capabilities and RAG (Retrieval-Augmented Generation) systems to create intelligent, automated, and auditable scientific workflows. - Collaborate with bioinformatics scientists and product managers to translate complex biological research needs into high-quality software solutions. - Share bioinformatics knowledge within the team of engineers - Stay current with the latest advancements in AI, LLMs, and bioinformatics technology to drive platform innovation. Qualifications - 5+ years of professional experience in software development (preferably in Python), preferably in a bioinformatics or life science context. - Excellent communication and collaboration skills to work effectively with cross-functional teams (scientists, product managers, engineers). - Prior experience or strong interest in AI/ML, particularly integrating LLMs, RAG, or other agentic systems into production workflows is a significant advantage. Additional Information Based in Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. We recently completed a $200 million financing round to advance our growth globally to further serve leading healthcare and life science organizations. Key investors include Google Ventures, Perceptive Advisors, Northpond Ventures, TPG Biotech, and Foresite Capital. DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic. - Department: Engineering

We’re looking for a hands-on Databricks Engineer to help design, build, and scale a modern data platform running on Apache Spark and Delta Lake. This role sits at the intersection of data engineering, platform architecture, and performance optimization. You’ll work closely with data scientists, analysts, and backend teams to ensure reliable, high-performance data pipelines and well-governed datasets. Responsibilities - Design and implement end-to-end data pipelines using Databricks (Jobs, Workflows, Delta Live Tables) - Build and maintain scalable ETL/ELT processes leveraging Apache Spark (PySpark / Scala) - Develop data models using Delta Lake, including schema design, partitioning strategies, Z-ordering, and optimization techniques - Manage and optimize Databricks clusters (autoscaling, spot instances, instance pools, cluster policies) - Implement CI/CD pipelines for Databricks deployments (e.g., using Databricks Repos, Terraform, Azure DevOps / GitHub Actions) - Work with structured and semi-structured data (JSON, Parquet, Avro) at scale - Ensure data quality and reliability through validation frameworks, unit/integration testing, and monitoring - Implement data governance practices (Unity Catalog, access controls, lineage tracking, auditing) - Troubleshoot performance issues (job failures, skew, shuffle bottlenecks, memory pressure) and optimize Spark workloads - Integrate Databricks with cloud-native services (AWS S3, Azure Data Lake Storage, GCP BigQuery) - Collaborate with data consumers to define SLAs, data contracts, and service interfaces

This is a remote position. - Make messy data decision-ready. Profile, cleanse, reconcile, and document datasets so insights are reliable—even when the inputs are noisy. - Support new, “tip-of-the-spear” apps. Work with the application team to define the right data ingredients, stand up thin-slice pipelines, and validate results. - Move fast—carefully. Turn vague asks into testable hypotheses, build the analysis or dashboard, and ship quick iterations with attention to detail. - Guard data quality. Set up checks, audits, and alerts; track issues to closure and raise the bar on definitions, lineage, and reproducibility. - Automate the repetitive. Use SQL/Python (plus Airflow/Prefect/dbt or similar) to turn one-off analyses into lightweight, maintainable workflows. - Tell the story. Present findings with clear business context; highlight signal vs. noise, trade-offs, and recommended next steps. - Partner across functions. Collaborate with product, engineering, and client teams to ensure what we build solves real problems. - Utilize AI to improve business functions. Apart from automation, work with AI during project delivery and data mining Requirements - Minimum 5+ years of experience in Data Analytics, Data Engineering, or similar roles (Mid–Senior level) - Advanced SQL (Non-Negotiable) – must be comfortable writing complex queries - Strong Python experience for data analysis, automation, or data pipelines - Experience working with Big Data technologies (Hadoop ecosystem) - Experience building or supporting data pipelines - Familiarity with Airflow or similar workflow orchestration tools - Experience working with large or messy datasets (data cleansing, validation, etc.) - Ability to automate data processes instead of doing one-off analysis - Strong communication skills and ability to explain insights clearly - Comfortable working with cross-functional teams Nice to Have - Exposure to AI or AI-related data projects - Experience with modern data platforms (Snowflake, BigQuery, Databricks, Athena, etc.) Benefits - Competitive Salary Package: Receive a pay package that matches your skills and experience. - Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance. - Health Coverage: Get medical, dental, and vision insurance for you and your dependents. - Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG. - Learning Opportunities: Access training, certifications, and mentorship to grow your career. - Team Engagement: Join team-building activities and wellness programs. - Modern Tools: Use the latest technology to excel in your role. - Career Growth: Clear paths for promotion and professional development. - Inclusive Culture: Be part of a diverse, supportive, and collaborative global team. Referral Rewards: Earn bonuses for bringing great talent to the team.

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide. Service and Support General Job Description (MUST BE EDITED FOR SPECIFIC JOB POSTING): Team Description The service and support team maintains direct contact with customers pre-sale or post-sales or both. Role and Responsibilities: - Customer service includes communication via telephone, email, chat or through other social media platforms - Supports sales team by developing and maintaining positive customer relations with clients/customers, which can substantially affect service and/or product revenue(s) - Ensures delivery of objectives and client expectations are met in accordance with contractual obligations - Work with various departments to meet maintenance services sales goals, receive and understand accurate account of equipment failures - Conduct technical training courses for customers and/or employees in the use of complex situations for multiple products - Interact with customer and functional organizations to develop specifications for content of courses - Post-sale technical support services to customers, including installation, troubleshooting, problem resolution and maintenance of products and services - Responsibilities are within the technical customer support function as a generalist or in a combination of disciplines: - product support specialist - product support analyst - systems integration engineer - technical support - customer service - customer training - sales support Qualifications and Education Requirements: - Minimum High School diploma, University student or graduate. Technical experience strongly desired - Demonstrates good time management and priority setting skills - Demonstrates effective teamwork skills - Demonstrates ability to work under pressure and handling complexity - Proficient English and Spanish written and oral communication skills - Must be organized, able to multi-task and work in all areas as needed - Proven analytical and troubleshooting skills - Excellent customer service skills - Travel Industry background is desired. - Experience with travel distribution/reservation systems (Sabre, Galileo, Amadeus) - ITIL/ XML/ SQL/ API Programming - Experience using Salesforce CRM tool We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.