Role Description As a Modern Applications Architect, you will serve as a thought leader, solution visionary, and technical expert for clients and internal teams. We will count on you to design modern application solutions, lead implementation efforts, and mentor developers across engagements. Along the way, you will get to: - Lead clients and delivery teams in envisioning, designing, and implementing modern cloud-native application solutions. - Translate business needs into scalable technical architectures that improve client competitiveness and accelerate transformation. - Partner with clients and internal stakeholders on discovery, solution design, workshops, and technical recommendations. - Mentor developers and architects while helping shape delivery approaches, estimates, and statements of work. Qualifications - Deep expertise in cloud-native application design, microservices, APIs, distributed systems, and modern software development practices. - Strong client-facing communication skills with the ability to present solutions, lead workshops, and shape statements of work. - Experience with Azure preferred, with additional knowledge of AWS and Google Cloud highly valued. Requirements - Architecture experience. Benefits - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. - Access to 11 thriving and diverse Teammate Resource Groups. - Core values of Hunger, Heart, and Harmony that guide everything we do.

Scientific Data Architect - Indianapolis Hybrid Scientific Data Architect Full time Indianapolis, Indiana, United States   You are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.   What You Have Done - PhD with +4 years or Masters with +8 years of industry experience in life sciences  with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. - Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments - Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. - Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. - Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities. - Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Requirements What You Will Do   - You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the Indianapolis area, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions. - Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability. - Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. - Own, scope, prototype, and implement solutions including: - Data model design (tabular & JSON) - Python-based parser development. - Lab software (e.g., ELN/LIMS) integration via APIs. - Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)  - Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) - Programmatically interrogating proprietary instrument output files. - Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings - Proactively communicate implementation progress and deliver demos to customer stakeholders. - Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform. - Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases - Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions. Benefits - Competitive Salary and equity in a fast-growing company. - Supportive, team-oriented culture of continuous improvement. - Generous paid time off (PTO). - Flexible working arrangements - Remote work when not at Customer Sites We are not currently providing visa sponsorship for this position.

Role Description We are looking for an experienced Cloud Leader / GCP Architect to drive cloud transformation initiatives on Google Cloud Platform (GCP). This role requires deep expertise in cloud architecture, landing zone design, CI/CD implementation, and large-scale infrastructure migration. The ideal candidate will combine strong technical skills with leadership capabilities to deliver secure, scalable, and reliable cloud solutions. - Lead the design and implementation of enterprise-grade GCP Landing Zones aligned with best practices. - Architect, build, and optimize CI/CD pipelines for automated and scalable deployments on GCP. - Drive end-to-end cloud migration strategies, including application and infrastructure migration to GCP. - Design and implement secure cloud architectures covering IAM, networking, and compliance requirements. - Develop and manage infrastructure using Infrastructure as Code (IaC) with Terraform. - Oversee database migration initiatives and ensure minimal disruption and performance optimization. - Collaborate closely with cross-functional teams including DevOps, Security, and Application Engineering. - Provide technical leadership, mentorship, and governance across cloud initiatives. - Continuously optimize cloud environments for performance, scalability, cost efficiency, and reliability. Qualifications - 8–10 years of overall IT experience with a strong focus on cloud engineering and architecture. - Hands-on experience with Google Cloud Platform services. - Proven track record in designing and delivering cloud migration and transformation projects. - Strong understanding of cloud networking and security principles. - Expertise in Terraform and infrastructure automation. - Experience with CI/CD tools such as Jenkins, GitLab CI, or similar. - Working knowledge of database migration strategies and tools. - Excellent communication, stakeholder management, and problem-solving skills. Requirements - GCP Landing Zone Design and Implementation - GCP CI/CD Pipelines - Cloud Infrastructure Migration (GCP) - Security and Networking in GCP (IAM, VPC, Firewall, etc.) - Terraform (Infrastructure as Code) - Database Migration Preferred Qualifications - GCP Certifications (e.g., Professional Cloud Architect). - Experience with containerization technologies such as Docker and Kubernetes (GKE). - Familiarity with monitoring and logging solutions in GCP. Benefits - Opportunity to lead large-scale cloud transformation initiatives. - Work on cutting-edge GCP technologies and enterprise architectures. - Collaborate with high-performing engineering teams and clients. - Drive impactful solutions in a fast-paced, innovation-driven environment.

• Delivering on the mission requires a systems-focused engineer who can navigate complex full-stack environments. • Responsible for the end-to-end technical execution of the EDB Postgres AI platform, integrated with Hardware, Kubernetes, On-Prem and Cloud based environments. • Manage technical execution across a variety of EDB stakeholder teams to deliver mission-critical projects for strategic customer(s). • Architect and build data platform solutions that leverage the EDB Postgres AI Sovereign Data and AI Factory (SDAF). • Responsible for bridging the gap between hardware/infrastructure installation and delivering Data Platform, AI and Agentic innovation, ensuring platform optimization for specific use-cases.