Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

Position Summary:

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials. This role drives enterprise-level data standardization initiatives,  and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping -  Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency. 

Data Quality Assurance - Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting - Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation - Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency

Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support - Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization - Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets

Qualifications: 

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management  or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance.

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

Position Summary:

The Senior Clinical Data Associate provides data management support and assistance in all aspects of the clinical trial data management process from study start up to post database lock for assigned projects under direct supervision.  Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed.   This position may perform database development and testing, as well as additional data management activities.

Essential functions of the job include but are not limited to:

• Support the Lead DM as a back-up and/or team member, ensuring continuity, responsiveness, and that tasks are performed in a timely manner
• May perform data entry for paper-CRF studies, as needed
• May perform quality control of data entry
• May provide input into timelines. Ensure that clinical data management deadlines are met with quality. May assess resource needs for assigned projects, as needed.
• Assist in developing CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
• May assist in building clinical databases
• Conduct database build UAT and maintain quality controlled database build documentation. May oversee overall quality of the clinical database.
• Assist in specifying requirements for all edit check types e.g., electronic, manual data review, edit checks, etc.
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Assist with coordinating SAE/AE reconciliation
• Assist with liaising with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables
• May assist with SAS programming and quality control of SAS programs used in the Data Management department
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
• May assist in participating in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• Trains and ensures that all data management project team members have been sufficiently trained
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
• May present software demonstrations/trainings, department/company training sessions, present at project meetings
• May require some travel
• Perform other duties as assigned.

 Qualifications:

Minimum Required:

• 5+ years’ experience
• Bachelors and/or a combination of related experience 

Other Required:

• Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook.
• Able to handle a variety of clinical research tasks.
• Excellent organizational and communication skills
• Professional use of the English language; both written and oral.
• Basic knowledge of drug, device and/or biologic development and effective data management practices.

Preferred:

• Experience in a clinical, scientific or healthcare discipline.
• Dictionary medical coding (MedDRA and WHODrug)
• Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
• Oncology and/or Orphan Drug therapeutic experience

Skills:

Demonstrates strong knowledge of ICH-GCP, relevant Precision Oncology SOPs, and regulatory guidance, as well as the ability to implement and drive outcomes

 Competencies:

• Motivates project team members to meet timelines and project goals
• Focuses on continuous improvement, including the ability to make proactive assessments on how to make processes more efficient and people more effective
• Resolves project related problems and prioritizes workload to meet deadlines with minimal support
• Exhibits a high degree of self-motivation, and can work and plan independently as well as in a team environment
• Demonstrates an acceptable degree of professionalism, as evidenced by punctuality, ability to deliver on commitments, an understanding of the service culture and positive interactions with customers and teammates, including good interpersonal skills

Position Summary:

The Senior Clinical Data Associate provides data management support and assistance in all aspects of the clinical trial data management process from study start up to post database lock for assigned projects under direct supervision.  Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed.   This position may perform database development and testing, as well as additional data management activities.

Essential functions of the job include but are not limited to:

• Support the Lead DM as a back-up and/or team member, ensuring continuity, responsiveness, and that tasks are performed in a timely manner
• May perform data entry for paper-CRF studies, as needed
• May perform quality control of data entry
• May provide input into timelines. Ensure that clinical data management deadlines are met with quality. May assess resource needs for assigned projects, as needed.
• Assist in developing CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
• May assist in building clinical databases
• Conduct database build UAT and maintain quality controlled database build documentation. May oversee overall quality of the clinical database.
• Assist in specifying requirements for all edit check types e.g., electronic, manual data review, edit checks, etc.
• Responsible for creating, revising, appropriate versioning and maintaining data management documentation.
• Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
• Review and query clinical trial data according to the Data Management Plan
• Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
• Run patient and study level status and metric reporting
• Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
• Assist with coordinating SAE/AE reconciliation
• Assist with liaising with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables
• May assist with SAS programming and quality control of SAS programs used in the Data Management department
• Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
• May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
• May assist in participating in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
• Trains and ensures that all data management project team members have been sufficiently trained
• Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
• May present software demonstrations/trainings, department/company training sessions, present at project meetings
• May require some travel
• Perform other duties as assigned.

 Qualifications:

Minimum Required:

• 5+ years’ experience
• Bachelors and/or a combination of related experience 

Other Required:

• Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook.
• Able to handle a variety of clinical research tasks.
• Excellent organizational and communication skills
• Professional use of the English language; both written and oral.
• Basic knowledge of drug, device and/or biologic development and effective data management practices.

Preferred:

• Experience in a clinical, scientific or healthcare discipline.
• Dictionary medical coding (MedDRA and WHODrug)
• Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
• Oncology and/or Orphan Drug therapeutic experience

Skills:

Demonstrates strong knowledge of ICH-GCP, relevant Precision Oncology SOPs, and regulatory guidance, as well as the ability to implement and drive outcomes

 Competencies:

• Motivates project team members to meet timelines and project goals
• Focuses on continuous improvement, including the ability to make proactive assessments on how to make processes more efficient and people more effective
• Resolves project related problems and prioritizes workload to meet deadlines with minimal support
• Exhibits a high degree of self-motivation, and can work and plan independently as well as in a team environment
• Demonstrates an acceptable degree of professionalism, as evidenced by punctuality, ability to deliver on commitments, an understanding of the service culture and positive interactions with customers and teammates, including good interpersonal skills

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

POSITION OVERVIEW:

The Global Regulatory Lead Partner supports Global Regulatory Leads in assigned therapeutic areas and serves as the accountable global regulatory point of contact for designated products. The individual provides regulatory leadership for life‑cycle management, maintenance of established products, and execution of global regulatory submissions. This role drives results through regulatory science expertise, strong communication, and analytical capabilities, ensuring high‑quality regulatory strategies and deliverables for assigned products.

WORK LOCATION:

Remote position based in Bangalore, Chennai, Hyderabad, or Mumbai, with pan-India operations.

KEY RESPONSIBILITIES:

(This list is not exhaustive and may be supplemented or changed as necessary.)

• Ensure maintenance of global registrations for assigned products, including US and EU markets.
• Lead and execute regulatory activities supporting life‑cycle management, including submission strategy development, timeline definition, prioritization, assembly review, and identification of regulatory risks/challenges.
• Manage regulatory agency communications and submissions, including responses to agency questions, labeling negotiations, updates, and periodic reports.
• Coordinate SMEs to develop response strategies and author/review responses to health authority requests.
• Support labeling discussions, updates, and filings across CCDS, USPI, SmPC, and country‑specific labels.
• Provide regulatory input for annual reports, renewal applications, and aggregate safety reports (e.g., PSURs, PADERs).
• Conduct regulatory review for tender bid applications and assess country requests for registration deletions.
• Support preparation of ancillary documents required for product registrations in global markets.
• Follow through on agency commitments and ensure timely, high‑quality regulatory deliverables.
• Conduct research and review of US, EU, and other relevant regulatory guidelines, precedence, and competitive intelligence to inform regulatory strategy.
• Collaborate with Regulatory Operations, Clinical Safety, Labeling, Regulatory CMC, and other functional partners to ensure alignment and execution of regulatory strategy.

QUALIFICATIONS AND REQUIREMENTS:

Education:

• Bachelor's degree or higher in a relevant field such as pharmaceuticals, chemistry, or regulatory affairs.

Experience:

• 5+ years of experience in regulatory affairs and/or regulatory framework of major health authorities
• Experience working as a lead in Regulatory Affairs across two or more major geographic areas, and prior experience with both small molecules and biologics. Has sufficient regulatory knowledge to integrate inputs from other countries/regions to develop a global strategy and can develop and lead execution of holistic regulatory strategy while considering risk/opportunity, timeline, resource.
• Thorough understanding of drug development process and the pharmaceutical industry and healthcare environment including regulatory requirements and policy trends. Understands scientific and clinical data sufficiently to ask questions and make suggestions about cross-functional topics to influence overall development strategy and to assess regulatory implications and develop regulatory strategy.
• Regulatory experience with pre and post approval lifecycle management, interactions with Health Authorities, leading cross-functional regulatory teams, developing and implementing regulatory strategies with a proven track record of significant regulatory accomplishments.
• Strong business acumen and ability to make sound decisions that contribute positively to the business.
• Strong strategic skills and the ability to balance short-term needs with long-term vision.
• Proven ability to deliver on goals within a cross-functional team/partnership environment with a high level of professionalism.

Skills and Attributes:

• Excellent written and verbal communication skills.
• Strong negotiating skills and ability to think creatively and develop innovative solutions.
• Strong organizational and project management abilities.
• Strong analytical skills with high attention to detail.
• Understanding of regulatory filing requirements.
• Knowledge of ICH guidance and routine regulatory maintenance requirements.
• Ability to manage multiple priorities and work independently in a fast-paced environment.
• Proactive, detail-oriented, and self-motivated with a strong work ethic.

Title: Senior AI QA Engineer
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior AI QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

As a member of the Quality Assurance (QA) Engineering Department, QA Automation Engineers work closely with the development and Product Management teams to develop and deliver quality software products. The QA Automation Engineer will need to possess imagination and creativity, along with the ability to provide expert level software testing skills, communication skills, and experience working in an agile development environment.

Responsibilities:

• Work in a highly collaborative, mission-driven, agile product development team.
• Execute Integration, Feature and Regression test cases using both manual and automated testing approaches. Knowledge of Unit Testing is a plus. 
• Work in support of the QA lead to help streamline testing processes for evaluating application features and determining software quality. Contribute to product and process improvement discussions and the refinement of QA best practices.
• Perform debugging and root cause analysis of product failures and log software defects.
• Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks. 
• Help build scalable and reusable testing documentation in support of both manual and automated testing efforts. 
• Research and resolve any broken automation scripts that fail during execution

Requirements:

• 2+ years of technical experience strongly related to Quality Assurance/Testing and evaluation of system architecture and web applications
• 2+ years of developing and maintaining frontend automation frameworks, preferably in Groovy/Java
• Experience with at least one automation framework (e.g., Cypress, Selenium, Playwright, Katalon, TestNG, Robot Framework).
• Good understanding of API testing, database validation, performance testing, and load testing tools (e.g., JMeter, Locust, Gatling).
• Exposure to CI/CD environments and infrastructure-as-code principles.
• Experience testing on mobile devices (iOS and Android)
• Experience planning, designing, and implementing testing strategies and automation infrastructure for large scale system software
• Experience with Git or equivalent source control system, including basic concepts of code branching methodologies
• Experience with issue tracking tools (Jira preferred)
• Experience serving as a subject matter expert within a testing team on test process development and software quality measurements
• Browser, infrastructure, and remote device testing (including debug tools)
• Ability to communicate effectively and in a concise manner, both verbally and in writing
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Senior QA Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: DevOps Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: QA Engineer

Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)

Opportunity:

We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.

Key Responsibilities

• Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
• Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
• Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
• Build and execute test strategies for microservices and event-driven architectures
• Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
• Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
• Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
• Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
• Analyze defects, identify root causes, and ensure timely resolution
• Continuously improve test frameworks, tools, and processes

Required Skills & Qualifications

Automation & Testing

• Strong experience in Selenium WebDriver, RestAssured, TestNG
• Expertise in API Testing, UI Testing, and Microservices Testing
• Experience in building Hybrid/POM-based automation frameworks

Programming

• Proficiency in Java (mandatory)
• Basic working knowledge of Python

AI / ML / LLM Testing

• Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
• Knowledge of NER validation, prompt testing, and output evaluation techniques
• Exposure to model validation, scoring mechanisms, and dataset validation

Data & Cloud

• Strong SQL skills with experience in BigQuery or similar platforms
• Understanding of event-driven systems (Pub/Sub or similar)
• Experience in validating JSON-based data pipelines

DevOps & Tools

• Experience with Jenkins, Maven, Git/Bitbucket
• Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)

Good to Have

• Experience in Healthcare, OTT, or E-commerce domains
• Exposure to EMR/EHR systems or clinical data validation
• Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
• Experience with mobile testing (Appium)

Experience

• 4–6 years of experience in QA Automation / SDET roles
• Hands-on experience in AI/ML or LLM validation is highly preferred

Education

• Bachelor’s degree in Engineering, Computer Science, or related field

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Title: Principal Data Software Engineer

Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a visionary and technically adept Principal Data Software Engineer to design, develop and optimize our cloud-native data platform supporting AI, analytics, and clinical applications. This role is pivotal in architecting scalable, secure, and high-performance data processing systems within a regulated healthcare environment. 

The ideal candidate brings deep technical expertise in data engineering, data governance, cloud infrastructure and hands-on experience with healthcare data standards, EMR integration, and clinical ontologie. The candidate should have a proven record of building secure, scalable data platforms. This position reports to the Senior Director, Product Development. This role requires close collaboration with data engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Responsibilities:

Platform Architecture & Design

• Design and implement scalable, secure, and efficient data architectures (e.g., data lakehouse, medallion architecture) to support enterprise AI and analytics initiatives.
• Define technical specifications for data ingestion, transformation, storage, and access layers.
• Evaluate and recommend tools, frameworks, and cloud infrastructure to optimize performance, scalability, and cost-efficiency.
• Ensure architectural alignment with organizational AI, analytics, and clinical application goals.

Data Engineering & Operations

• Develop and maintain high-performance data pipelines for both batch and streaming data processing, leveraging tools such as Apache Spark, Databricks or Snowflake.
• Implement deployment and orchestration frameworks (e.g., Airflow, dbt, Spark, Databricks, Snowflake)
• Adhere to engineering best practices for CI/CD, observability, incident response, and SLA adherence
• Optimize data processing systems for performance, reliability, and reusability.

• Mentor engineers to foster technical growth and ensure alignment with best practices in data engineering.

Governance, Quality & Compliance

• Collaborate with data governance and compliance teams to implement data security, encryption, and access control policies in line with HIPAA, GDPR, and other regulations.
• Ensure data quality through validation, lineage tracking, and metadata management practices.
• Support the development and maintenance of data catalogs for discoverability and stewardship

Collaboration & Technical Leadership

• Partner with data engineers, product teams, and clinical informatics specialists to deliver integrated data solutions.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaboration.
• Communicate complex technical designs and solutions to both technical and non-technical stakeholders effectively.
• Contribute to agile development practices, participating in code reviews, design discussions, and continuous improvement initiatives.

Innovation & Technical Expertise

• Stay informed about emerging trends in data engineering, cloud-native architectures, and healthcare data standards.
• Prototype and evaluate modern data frameworks and tools (e.g., Delta Lake, Apache Iceberg) to enhance platform capabilities.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Advocate for best practices in data platform design to ensure scalability, explainability, and compliance in AI-driven systems.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience with at least 4+ years in data engineering or platform roles
• Proven track record of designing and implementing cloud-native data processing systems.

Technical Proficiency

• Advanced proficiency in Python, Scala, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or Redshift).
• Demonstrated ability to transform raw clinical data into curated, ML-ready datasets for analytics and AI applications.
• Hands-on expertise in healthcare data standards including FHIR, HL7, USCDI, and CCDA

Professional Skills

• Strong problem-solving skills with a focus on delivering scalable and maintainable solutions.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Digital Program Developer

Position Overview

The Digital Program Developer designs, builds, and configures digital care pathways using GetWell’s content management and workflow platforms (Contentful and Total.js). This role translates clinical requirements into patient-facing digital programs by configuring content delivery, conditional logic, alerts, and multi-step workflows. You are the hands-on builder who brings care pathways to life.

Key Responsibilities

Workflow Configuration & Development (≈70%)

Care Program Build & Configuration

• Configure multi-step digital care programs in Total.js/Program Composer
• Implement conditional logic, branching scenarios, and decision trees
• Define temporal sequencing (e.g., pre- and post-procedure timelines)
• Configure alerts, escalation triggers, and severity levels
• Set up patient eligibility, enrollment, and progression logic
• Configure multi-channel communications (SMS, email, secure messaging)
• Integrate data feeds, reference dates, and enrollment criteria

Content Management (Contentful)

• Build and structure patient-facing content including:
• Educational modules and daily check-ins
• Surveys, assessments, and PROMs
• Automated messages with personalization variables
• Model structured content and reusable components
• Manage media assets (video, images, PDFs)
• Support multi-language content (English, Spanish, others as needed)

Logic & Rules Configuration

• Build scoring logic, formulas, and threshold-based alerts
• Configure skip logic, validation rules, and required fields
• Define completion criteria and program states
• Map data capture requirements and field specifications

Testing & Quality Assurance (≈30%)

Testing

• Create and execute end-to-end test plans
• Validate all logic paths, alerts, and edge cases
• Test delivery across channels and platforms
• Verify data capture, storage, and reporting accuracy
• Perform regression testing following updates or changes

Documentation

• Maintain configuration and logic documentation
• Create workflow diagrams and architecture maps
• Document business rules and decision criteria
• Support version control and change management
• Build troubleshooting and support guides

Required Qualifications

Technical & Platform Experience

• 3–5 years experience configuring complex workflows or automation platforms
  (e.g., BPM tools, CRM workflows, marketing automation platforms)
• Strong understanding of conditional logic, decision trees, and multi-step orchestration
• 2+ years experience with modern CMS platforms
  (Headless CMS preferred: Contentful, Sanity, Strapi)

Core Skills

• Strong logical and analytical thinking
• Methodical approach to testing and troubleshooting
• Comfort working with structured data and field mappings
• Ability to quickly learn new platforms and tools
• Basic understanding of APIs and system integrations

Nice to Have

• JSON/YAML configuration experience
• SQL or basic scripting (JavaScript, Python)
• Git/version control familiarity
• Jira or similar project management tools

Communication & Collaboration

• Translate clinical and business requirements into technical configurations
• Clearly communicate logic, constraints, and tradeoffs
• Document complex workflows for non-technical stakeholders
• Collaborate with product, engineering, content, implementation, and QA teams
• Present demos and walkthroughs of configured programs

Preferred Qualifications

Healthcare Experience (Helpful, Not Required)

• Familiarity with patient journeys and healthcare workflows
• Exposure to patient engagement platforms or digital health tools
• Awareness of healthcare terminology and roles
• Experience with EHR workflows (e.g., Epic, Cerner) is a plus

Advanced / Bonus Skills

• Experience with Total.js, Node.js, or Contentful
• GraphQL or HL7/FHIR exposure
• Internationalization and multi-language configuration
• Agile/Scrum team experience
• QA, testing automation, or technical documentation background

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace.

Title: Software Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop and optimize our cloud-native applications supporting AI, data platform and analytics. This role is pivotal in architecting scalable, secure, and high-performance applications within a regulated care environment. 

The ideal candidate brings deep technical expertise in software architecture and engineering, data governance, and cloud infrastructure. The role will provide technical leadership across teams, ensuring high standards for code quality, performance, and reliability. This is a hands-on role, where strategic thinking meets deep engineering execution in a complex healthcare environment. This position reports to the Director, Product Development. This role requires close collaboration with software engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Key Responsibilities:

• Technical Leadership:
• Define and drive the architecture of high-scale, distributed systems powering healthcare applications.
• Provide hands-on guidance in coding, design reviews, and performance optimization.
• Mentor and lead engineers across multiple teams.
• Product Development:
• Design and implement scalable services and APIs on cloud, integrate with interoperability methodologies (FHIR, HL7, etc.)
• Contribute to the development of Data and AI platforms while collaborating with Data & Platform teams
• Develop conversational Agentic AI workflows built on top of Data and AI platforms
• Collaboration:
• Partner with product managers, UX designers, and clinical experts to align technical solutions with healthcare needs.
• Work cross-functionally with security, compliance, and DevOps to ensure HIPAA-compliant, secure software delivery.
• Innovation:
• Lead research and adoption of emerging technologies such as AI/ML in clinical decision support or predictive analytics.
• Contribute to internal engineering standards and technical strategies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, with 4+ years in a technical lead role.
• Proven experience building large-scale, distributed systems or cloud-native applications using AWS/Azure/Google Cloud/OCI and accompanying distributed tech stack (e.g. - Kafka, NoSQL DBs, Kubernetes, Docker, etc.)
• Strong proficiency in Java, Python, Node JS, Ruby/Rails
• Deep understanding of microservices, API design, and container orchestration (Kubernetes).
• Proficiency in React JS, Vue JS and other Javacript UI frameworks
• Exposure to health IT standards such as HL7, FHIR, or CDA
• Familiarity with HIPAA, data privacy, and healthcare compliance standards.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a visionary and technically adept Principal Software Engineer to architect, design, develop and optimize our cloud-native applications supporting AI, data platform and analytics. This role is pivotal in architecting scalable, secure, and high-performance applications within a regulated care environment. 

The ideal candidate brings deep technical expertise in software architecture and engineering, data governance, and cloud infrastructure. The role will provide technical leadership across teams, ensuring high standards for code quality, performance, and reliability. This is a hands-on role, where strategic thinking meets deep engineering execution in a complex healthcare environment. This position reports to the Director, Product Development. This role requires close collaboration with software engineers, product teams, AI engineers and compliance specialists to deliver accurate, accessible, and actionable data solutions.

Key Responsibilities:

• Technical Leadership:
• Define and drive the architecture of high-scale, distributed systems powering healthcare applications.
• Provide hands-on guidance in coding, design reviews, and performance optimization.
• Mentor and lead engineers across multiple teams.
• Product Development:
• Design and implement scalable services and APIs on cloud, integrate with interoperability methodologies (FHIR, HL7, etc.)
• Contribute to the development of Data and AI platforms while collaborating with Data & Platform teams
• Develop conversational Agentic AI workflows built on top of Data and AI platforms
• Collaboration:
• Partner with product managers, UX designers, and clinical experts to align technical solutions with healthcare needs.
• Work cross-functionally with security, compliance, and DevOps to ensure HIPAA-compliant, secure software delivery.
• Innovation:
• Lead research and adoption of emerging technologies such as AI/ML in clinical decision support or predictive analytics.
• Contribute to internal engineering standards and technical strategies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 10+ years of experience in software development, with 2+ years in a technical leadership or principal role.
• Proven experience building large-scale, distributed systems or cloud-native applications using AWS/Azure/Google Cloud/OCI and accompanying distributed tech stack (e.g. - Kafka, NoSQL DBs, Kubernetes, Docker, etc.)
• Strong proficiency in Java, Python, Node JS, Ruby/Rails
• Deep understanding of microservices, API design, and container orchestration (Kubernetes).
• Proficiency in React JS, Vue JS and other Javacript UI frameworks
• Exposure to health IT standards such as HL7, FHIR, or CDA
• Familiarity with HIPAA, data privacy, and healthcare compliance standards.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for strong Staff Engineers to join our Backend Engineering team, with exposure to Machine Learning or Data Engineering. As a Staff Engineer, you are a technical pillar for the entire engineering organization. You will leverage your deep expertise in both Backend systems and ML Inference systems to multiply the impact of our teams and define what's next for our technology.

• Lead Unified Technical Strategy: Define and drive the architectural vision for Suki's backend, data and ML inference platforms. Create the roadmap for how we build, deploy, and scale everything from core microservices to our most advanced model serving and data infrastructure.
• Architect for AI at Scale: Lead the design of robust, highly scalable systems for both our core backend (in Go and Python) and our ML infrastructure, including real-time inference APIs, offline training pipelines, data processing, and GPU orchestration.
• Solve the Hardest Problems: Tackle the company's most complex and ambiguous technical challenges that sit at the intersection of distributed systems and applied AI. You will break down these problems and guide multiple teams toward elegant and practical solutions.
• Bridge Research and Production: Serve as the key technical link between our AI/ML Research teams and our Backend platform engineering teams. Translate cutting-edge model requirements (including LLMs) into efficient, production-grade services optimized for performance, cost, and reliability.
• Drive Technical Excellence & MLOps: Establish and champion best practices across the organization for system design, code quality, observability, and MLOps. Set the standard for system reliability, efficient resource utilization (CPU, memory, GPU), and CI/CD for ML.
• Mentor and Elevate the Team: Act as a role model and mentor for senior engineers across data, Backend and ML Engineering disciplines. Foster a culture of deep technical understanding and collaboration, helping to grow the next generation of technical leaders at Suki.
• Remain Hands-On: Stay deeply connected to the code by prototyping new architectures, implementing foundational components for our ML inference platform, and leading the resolution of the most critical incidents and performance bottlenecks.

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems at the nexus of backend engineering and machine learning.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build consensus, articulate complex ideas clearly, and are a trusted technical advisor to engineering leadership.
• A Force Multiplier: You lead with humility and find satisfaction in mentoring others. You elevate the performance and knowledge of the entire engineering organization.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field
• 8+ years of professional software engineering experience, with a proven track record of operating at a Staff, Principal, or equivalent level.
• Expert-level proficiency in at least any one programming language commonly used for building distributed systems or AI-powered systems like Python or Go, with the ability to lead architectural decisions in those languages.
• Deep, demonstrable expertise in designing and operating large-scale distributed systems and microservices architectures.
• Proven experience designing and building production ML infrastructure, including model serving systems, inference APIs, data pipelines, and training/evaluation workflows.
• Good knowledge of cloud platforms (GCP preferred), containerization (Docker), and orchestration (Kubernetes).
• Strong experience optimizing backend and ML workloads for performance, latency, cost, and GPU utilization.
• Experience integrating and scaling systems that use LLM APIs or foundation models.
• Familiarity with modern API technologies like gRPC and Protocol Buffers.

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.