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Develops and maintains customized software solutions using Java for public sector clients.
Designs and executes system integration tests to validate software/hardware functionality across complex systems.
Senior backend engineer designs and implements complex cross-system integrations, mentors the team, and supports customers through on-call rotations at a digital health company.
Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change.
We’re looking for a senior software engineer to join our Solutions Engineering Team. Our primary function is to understand customer challenges, design tailored technical solutions using Omada’s products and systems, and demonstrate the value and feasibility of those solutions.
Your Impact:
About you:
Bonus Points for:
Benefits:
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today’s healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.
Zone 1: $179,400 - $224,250
Zone 2: $171,600 - $214,500
Zone 3: $156,000 - $195,000
Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.
*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate’s skills and experience, and other business considerations such as internal equity.
Please click here for more information on our Candidate Privacy Notice.
Senior platform engineer ensures AI infrastructure runs reliably at scale in production, managing deployment pipelines, monitoring, and capacity planning for healthcare AI systems.
As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe.
Our AI portfolio spans model development through to production inference at scale, in a highly regulated healthcare context. This role exists to make sure that infrastructure runs reliably, scales predictably, and gets AI engineers’ work safely into production.
This is what you can expect from us as a Senior Forward Deployed Platform Engineer:
Purposeful work – your work keeps our AI portfolio reliable and performant for hospitals and aftercare providers who depend on it daily.
Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you.
Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.
Edenred card – which you can use according to your needs.
Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off.
This is how you will make an impact as a Senior Forward Deployed Platform Engineer:
Our AI portfolio needs to run reliably and perform well. Thus it has to be properly monitored.
Capacity needs planning, support scaling initiatives, and ensure our systems remain stable as the company grows.
SageMaker models need to be continuously delivered, following AWS’ best practices.
AI engineers need assistance with productionalizing AI workloads end-to-end, from code to container build, and rollouts using optimal deployment strategies.
We run a modern cloud-native stack to build, ship, and operate AI workloads reliably in a regulated healthcare environment.
Cloud: AWS (The European Sovereign Cloud partition)
Runtime: Kubernetes and Postgres
Inference: Bedrock, SageMaker, ClearML
Observability: Datadog, LangFuse, OTEL
CI/CD: GitHub Enterprise Cloud with Actions
Plus various auxiliary tools for security, compliance and operations: DockerHub, Google as IdP, SonarCloud, VPNs, QuickSight, CDN, Snowflake, ETLs, etc.
Here’s how we picture you as our Senior Forward Deployed Platform Engineer:
These are the knowledge and skills you need:
Experience with AWS (CloudFormation, IAM, ECR, SageMaker, Bedrock, S3, SQS, DynamoDB, RDS, KMS).
Experience with Kubernetes (EKS) in production (kustomize, HPA and KEDA based autoscaling).
Experience deploying SageMaker models, setting up custom inference containers (HuggingFace and/or OSS model) and endpoints (provisioning, autoscaling, and blue/green rollouts).
Familiarity with observability & LLMOps best practices and solutions (Datadog, Langfuse, LLM/GenAI tracing, OTel, CloudWatch).
Proficiency in Python, specifically with FastAPI and async task management.
Knowing how to set up ML/LLM GPU inference on EKS (GPU-backed instances, Nvidia driver/plugin).
Ability to own technical decisions and collaborate directly with other teams.
Troubleshooting, RCA, and resolving problems. When things get stressful, you stay cool headed and work through issues step by step, asking for support from SMEs when needed.
Preference for writing over talking, resulting in clear, concise, yet complete documentation and asynchronous communications.
This is a cross-functional role bridging the gap between applications and the platform. Ability to both explain complex concepts clearly to non-domain experts, and extract information through well-formed questions during verbal communication, is a must.
Bonus points:
Healthcare or regulated-domain experience (e.g. ISO 27001, C5).
Self-hosting/home lab.
Nvidia Triton/vLLM or similar.
MLflow, Kubeflow, ClearML, DVC, Vertex AI.
Slack and GitHub automations (bots, workflows, apps, etc.).
This will help you decide if you want to join us – our values are:
Strong opinions, weakly held. We adapt, negotiate trade-offs, and reconsider decisions when necessary. We don’t stick to one implementation – we re-evaluate and adjust as needed (including throwing away the old one).
Pragmatic choice of tools and avoidance of one-size-fits-all thinking.
Bringing professionalism and empathy to how you work with others.
Strong belief in solid technical fundamentals and preference for understanding and first principles over memorization.
Language proficiency (at least English, but the more, the better).
Senior engineer designs and builds production AI systems with LLMs and agentic workflows, establishing architectural standards and governance frameworks for scalable AI capabilities.
Caseware is one of Canada’s original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!
📍 Location: This is a fully remote position located in Colombia.
Contact
Maira Russo - Senior Talent Acquisition Partner
• Define and evolve the technical architecture for Caseware’s AI platform,
establishing architectural standards, contracts, and design principles that enable
scalable, secure, reusable, and trustworthy AI capabilities across multiple teams.
• Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic
workflows, and AI-enabled services, including multi-agent systems, agent
execution runtimes, workflow orchestration, memory management, and human-inthe-loop AI capabilities.
• Design and implement evaluation, governance, auditability, and traceability
frameworks that ensure AI systems are measurable, explainable, compliant, and
continuously improving.
• Translate advances in AI into practical, maintainable platform capabilities that
solve real customer problems.
• Influence technical direction through architecture reviews, RFCs, design
discussions, and hands-on collaboration.
• Evaluate emerging AI technologies, models, frameworks, and cloud capabilities.
• Lead proof-of-concepts that inform platform strategy and future investments.
• Balance delivery speed, quality, maintainability, and long-term platform health
when making technical decisions.
• Drive reliability, observability, monitoring, alerting, and incident response practices
across AI systems and platforms.
• Ensure systems are resilient, scalable, cost-effective, and operationally efficient in
production environments.
• Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to
deliver business value.
• Act as a trusted technical leader, helping teams succeed through collaboration,
influence, and shared ownership.
• Mentor engineers across teams and contribute to raising overall engineering
maturity.
• 8+ years of professional software engineering experience, with demonstrated
impact beyond a single team
• 2+ years building and operating production AI systems.
• Proven experience designing distributed, SaaS, cloud-native, multi-tenant
platforms at scale.
• Proven experience designing distributed, SaaS, cloud-native, multi-tenant
platforms at scale.
• Experience implementing AI guardrails, governance controls, and safety
mechanisms.
• Strong understanding of AI system tradeoffs including latency, cost, accuracy,
reliability, and scalability.
• Extensive experience building and operating production systems on AWS.
• Experience with Infrastructure as Code using CDK, CloudFormation, or Terraform.
• Experience mentoring engineers and influencing architectural decisions across
teams.
• Strong English language communication and collaboration skills.
• Comfortable operating in fast-moving environments with ambiguity and evolving
requirements.
• Experience operating systems in regulated or compliance-heavy domains.
• Familiarity with accounting, auditing, or financial workflows.
• Backend & Platform: TypeScript, NestJS, Python
• Cloud & Infrastructure: AWS EKS, AWS Lambda, AWS Bedrock, AWS AgentCore
• Search & Retrieval: AWS OpenSearch Serverless
• Document & Data Processing: AWS Textract, DynamoDB, S3
• AI Evaluation & Observability: LangFuse, LangSmith, LangChain, LangGraph
• AI-Assisted Development: GitHub Copilot, AWS Kiro
• Developer Tooling: GitHub, GitHub Actions, Nx Monorepo
• Collaboration: Jira, Confluence, Microsoft Teams, Outlook
What’s in it for you:
▪️Innovation is at our core. We work with cutting-edge technology in accounting and financial reporting, constantly pushing the boundaries to create impactful software solutions.
▪️We are committed to a collaborative culture, where your ideas are valued, and knowledge sharing is encouraged within a supportive, inclusive team.
▪️Work-life balance is important to us. We offer flexible work options, remote opportunities, and generous time-off policies to ensure a healthy work-life balance.
▪️We offer competitive compensation, including a competitive salary and comprehensive benefits
▪️We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.
▪️Recognition and rewards matter to us. We celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth.
▪️We embrace global opportunities. Work on international projects and collaborate with a diverse, global team.
About Caseware:
Caseware’s cutting-edge software products are meticulously designed for accounting firms, corporations, and governments. Our teams are continually collaborating, innovating, and building upon our existing suite of products. With a customer-focused mindset, we are building technology that is shaping what the future of audits, financial reporting, and financial data analytics will look like.
With a recent strategic investment from Hg Capital in 2020, Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date.
One of Caseware’s core values is Many Voices, One Team and with that in mind, we’re dedicated to building teams as diverse as our customers in an equitable and inclusive way. We welcome and encourage candidates of all backgrounds to apply. Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at [email protected].
Background Check:
Any candidates successful in obtaining an offer for a position will need to successfully complete a background check through Certn.co which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residing in the Netherlands and Germany are excluded from undergoing background checks via Certn.co
Security and Fraud:
Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @caseware.com and our open positions are always listed on reputable job boards and on our website https://jobs.lever.co/caseware. We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Develops and maintains backend infrastructure using Node.js and Nest.js, ensuring scalability, security, and seamless integration with various technologies.
About Us:
At Smeetz, we are revolutionizing the approach to sales and revenue optimization for visitor attractions through our integrated commerce Software-as-a-Service (SaaS) platform, driven by AI. Our mission is to empower attractions like theme parks, museums, and theaters with a comprehensive solution for managing, marketing, and pricing their offerings effectively. As we continue to grow rapidly, we are seeking a talented and motivated Senior Node.js Backend Engineer to join our remote team based in Algeria. As a company, we foster a collaborative and innovative environment, valuing creativity and a passion for solving complex problems. If you’re eager to contribute to cutting-edge projects and grow in a supportive, remote-friendly work culture, we want to hear from you.
Responsibilities:
As a Senior Backend Engineer, you will play a key role in developing and maintaining our backend infrastructure. You’ll be working on exciting projects, leveraging your skills in Node.js, as well as your experience with frameworks like Nest.js. Additionally, you will contribute to the efficiency and scalability of our systems, ensuring seamless integration with various technologies.
Additional Preferred Skills:
Experience with AWS.
Demonstrated leadership skills and a curiosity to find solutions to complex problems, even when dealing with legacy code bases.
Competitive salary based on experience.
Fully remote position, allowing you to work from the comfort of your own space.
Opportunities for professional development and career growth.
Collaborative and inclusive team culture.
How to Apply:
If you meet the qualifications and are excited about the prospect of joining our startup, please submit your resume and a cover letter highlighting your relevant experience and why you’re a great fit for this role. Additionally, include any relevant project work or portfolio links.
Senior backend engineer designs and implements complex cross-system integrations, mentors team members, and partners with stakeholders to deliver technical solutions for a healthcare platform.
Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change.
We’re looking for a senior software engineer to join our Solutions Engineering Team. Our primary function is to understand customer challenges, design tailored technical solutions using Omada’s products and systems, and demonstrate the value and feasibility of those solutions.
Your Impact:
About you:
Bonus Points for:
Benefits:
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today’s healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.
Zone 1: $179,400 - $224,250
Zone 2: $171,600 - $214,500
Zone 3: $156,000 - $195,000
Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.
*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate’s skills and experience, and other business considerations such as internal equity.
Please click here for more information on our Candidate Privacy Notice.
Designs and maintains cloud infrastructure for AI models in production, ensuring reliable deployment, scaling, and monitoring across healthcare systems.
As one of the leading German HealthTech companies, we are reshaping discharge management – technology-driven, patient-centered, and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals, and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with over 650 rehabilitation clinics and 25,000 nursing and homecare providers. With currently around 100 employees, we continue to grow – and we are looking for people with character who want to help us improve the healthcare system and solve administrative complexity across care journeys in Europe.
Our AI portfolio spans model development through to production inference at scale, in a highly regulated healthcare context. This role exists to make sure that infrastructure runs reliably, scales predictably, and gets AI engineers’ work safely into production.
This is what you can expect from us as a Senior Forward Deployed Platform Engineer:
Purposeful work – your work keeps our AI portfolio reliable and performant for hospitals and aftercare providers who depend on it daily.
Company culture – we believe in flat hierarchies that promote high performance and strong team dynamics. We foster an environment characterized by mutual respect, loyalty, and recognition. Together, we strive for our goals – and expect the same from you.
Flexibility – want to pick up your child from daycare? Like to exercise during lunch? We’ll support you. We are a remote-friendly company offering flexible working hours. Workations are also possible by arrangement.
Edenred card – which you can use according to your needs.
Extra vacation day – so you can celebrate your birthday with your loved ones, you’ll have the day off.
This is how you will make an impact as a Senior Forward Deployed Platform Engineer:
Our AI portfolio needs to run reliably and perform well. Thus it has to be properly monitored.
Capacity needs planning, support scaling initiatives, and ensure our systems remain stable as the company grows.
SageMaker models need to be continuously delivered, following AWS’ best practices.
AI engineers need assistance with productionalizing AI workloads end-to-end, from code to container build, and rollouts using optimal deployment strategies.
We run a modern cloud-native stack to build, ship, and operate AI workloads reliably in a regulated healthcare environment.
Cloud: AWS (The European Sovereign Cloud partition)
Runtime: Kubernetes and Postgres
Inference: Bedrock, SageMaker, ClearML
Observability: Datadog, LangFuse, OTEL
CI/CD: GitHub Enterprise Cloud with Actions
Plus various auxiliary tools for security, compliance and operations: DockerHub, Google as IdP, SonarCloud, VPNs, QuickSight, CDN, Snowflake, ETLs, etc.
Here’s how we picture you as our Senior Forward Deployed Platform Engineer:
These are the knowledge and skills you need:
Experience with AWS (CloudFormation, IAM, ECR, SageMaker, Bedrock, S3, SQS, DynamoDB, RDS, KMS).
Experience with Kubernetes (EKS) in production (kustomize, HPA and KEDA based autoscaling).
Experience deploying SageMaker models, setting up custom inference containers (HuggingFace and/or OSS model) and endpoints (provisioning, autoscaling, and blue/green rollouts).
Familiarity with observability & LLMOps best practices and solutions (Datadog, Langfuse, LLM/GenAI tracing, OTel, CloudWatch).
Proficiency in Python, specifically with FastAPI and async task management.
Knowing how to set up ML/LLM GPU inference on EKS (GPU-backed instances, Nvidia driver/plugin).
Ability to own technical decisions and collaborate directly with other teams.
Troubleshooting, RCA, and resolving problems. When things get stressful, you stay cool headed and work through issues step by step, asking for support from SMEs when needed.
Preference for writing over talking, resulting in clear, concise, yet complete documentation and asynchronous communications.
This is a cross-functional role bridging the gap between applications and the platform. Ability to both explain complex concepts clearly to non-domain experts, and extract information through well-formed questions during verbal communication, is a must.
Bonus points:
Healthcare or regulated-domain experience (e.g. ISO 27001, C5).
Self-hosting/home lab.
Nvidia Triton/vLLM or similar.
MLflow, Kubeflow, ClearML, DVC, Vertex AI.
Slack and GitHub automations (bots, workflows, apps, etc.).
This will help you decide if you want to join us – our values are:
Strong opinions, weakly held. We adapt, negotiate trade-offs, and reconsider decisions when necessary. We don’t stick to one implementation – we re-evaluate and adjust as needed (including throwing away the old one).
Pragmatic choice of tools and avoidance of one-size-fits-all thinking.
Bringing professionalism and empathy to how you work with others.
Strong belief in solid technical fundamentals and preference for understanding and first principles over memorization.
Language proficiency (at least English, but the more, the better).
Develops AI/ML software components and strategy for a healthcare data platform, implementing scalable solutions and leading technical architecture decisions.
Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte’s Technology Fast 50 Ranking for 2024!
Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing  #BetterGlobalHealth to patients everyday!
Apply today and find plenty of reasons to SMILE!
The Software Developer - AI/ML is part of the Smile Labs team in the Product Department and will be responsible for developing the Artificial Intelligence strategy and software components for AI and Machine Learning that build on top of Smile Digital Health products. The team focuses on customer-specific requirements in a scalable solution model. You will work in an Agile environment with 2-week sprints.
$125,000 - $145,000 a year
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.
This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
Some of the benefits we offer:
\* Remote Work Environment
\* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
\* Competitive Salary and Health/Medical Benefits
\* RRSP/TFSA/401K Employee Contribution
\* Life and Disability
\* Employee Assistance Program
\* FHIR Study Program and Skillsoft Learning
\* Super HAPI Fun Club
Smile’s core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior/Staff ML Engineer develops and deploys AI biomarker models for cancer care, owning end-to-end development from problem framing through regulatory submission and production deployment.
About Us: Artera is an artificial intelligence company dedicated to transforming cancer care. We’ve developed foundation models that analyze clinical and pathology data, generating actionable insights that guide therapy selection and improve outcomes for cancer patients. By continuously improving these models, we aim to uncover the biological mechanisms driving cancer progression.
We’re looking for an experienced machine learning engineer to own AI biomarker development end to end — from problem framing with clinical and biostatistics partners, through model development and validation, to regulatory submission and production deployment. Beyond owning a biomarker program, you’ll take on the hardest cross-cutting problems in our field: robustness across scanners and sites, mechanistic interpretability of model decisions, and the next generation of our pathology foundation models.
Lead the technical effort and define the strategic vision for patient-facing products, in partnership with product, biostatistics, clinical development, and regulatory/quality.
Design and build AI-based biomarkers on multimodal data — including whole-slide images, clinical variables, and molecular data — to predict patient outcomes, treatment benefit, and molecular traits.
Advance our core self-supervised foundation models and the downstream architectures built on them (multiple-instance learning, time-to-event / hazard models, segmentation and classification components), with generalization as a first-order objective.
Own score reproducibility across scanners, institutions, staining protocols, and patient populations.
Develop and integrate mechanistic interpretability methods to explain model decisions, build clinician trust, and drive actionable model improvements.
Architect tools and processes that streamline the end-to-end model development lifecycle — from prototyping through production deployment and monitoring — ensuring efficiency, reproducibility, regulatory compliance, and scale.
Author and defend regulatory and quality documentation, and represent AI in design and development reviews.
Plan and manage delivery: break multi-quarter programs into milestones, manage dependencies across AI, platform, biostatistics, and clinical teams, surface risk early, and hold submission and launch dates.
Publish in peer-reviewed journals and present at clinical and ML venues; support external academic and industry collaborations.
Mentor and coach machine-learning scientists and engineers, fostering their technical growth and collaboration skills, and raise the bar on scientific rigor, code quality, and written communication across the team.
5+ years of industry experience building deep learning systems in PyTorch (or TensorFlow).
2+ years of experience as a technical lead, launching and monitoring machine-learning products in production environments.
Demonstrated depth in oncology and biomarker development: familiarity with cancer biology and treatment pathways, clinical endpoints, risk stratification, and what makes a biomarker clinically actionable.
Demonstrated project management ability — scoping, sequencing, and managing dependencies and risk across multiple teams on dated deliverables.
Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators.
Experience mentoring or managing ML scientists and engineers.
Experience building ML on complex clinical data — medical imaging, multi-omics, or longitudinal patient records — including weakly supervised learning and handling variation across sites, devices, and protocols.
Experience developing ML in a regulated environment — FDA 510(k)/De Novo, CE/UKCA, SaMD, design controls, or CLIA/LDT validation.
Experience with self-supervised representation learning (e.g., DINOv3) and adapting medical foundation models to downstream clinical tasks.
Experience with data from randomized controlled trials and multi-institutional clinical cohorts.
Peer-reviewed publications and conference presentations; history of external academic or industry collaborations.
Experience with cloud-scale training and workflow orchestration (e.g., Flyte / Union, Kubernetes, AWS), experiment tracking, and reproducible ML pipelines.
$180,000 - $240,000 a year
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.
Equal Employee Opportunity:At Artera, we value bringing together individuals from diverse backgrounds to develop new andinnovative solutions for patients and physicians. As an equal opportunity employer, we do notdiscriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy),physical or mental disability, medical condition, genetic information gender identity orexpression, sexual orientation, marital status, protected veteran status, or any other legallyprotected characteristic.
Develops and maintains frontend applications using React as a senior engineer on a distributed software development team.
Deploys and operates software systems at acquired companies, focusing on mission-critical infrastructure in underserved industries.
Builds full-stack web applications using Node.js backend and React frontend for a financial-infrastructure platform.
Develops and implements computer vision AI systems and models as part of the engineering team.
Senior Site Reliability Engineer specializing in network infrastructure, ensuring Fastly's edge cloud platform remains stable, performant, and highly available.
Designs and implements security solutions for edge computing infrastructure at scale.
Designs and builds backend systems for Grafana Cloud's observability platform, working on core infrastructure and services at scale.
Designs and architecs Salesforce APIs to integrate cloud and enterprise solutions for clients.
Develops and maintains software systems for a service commerce SaaS platform serving hundreds of thousands of businesses.
Lead and mentor a team of software engineers building ServiceNow customizations and integrations for enterprise clients.
Why Us
NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.
We # GoBeyondWorkflows to create new kinds of experiences for our customers.
Come join our Crew!
Our Approach to Work
At NewRocket, people are not just the backbone; they’re the heartbeat. We champion diversity, celebrate creativity, and embrace the uniqueness each person brings to the table. Here, it’s not just about a job; it’s about fostering a healthy work-life balance, creating a culture that thrives on collaboration and innovation, and supporting professional growth for individuals and teams.
We believe in creating meaningful experiences, not just for our clients but for every member of our crew. Your voice matters, your growth matters, and you matter. Join us for a journey where your uniqueness is not only recognized but celebrated, and together, let’s create something extraordinary!
The Role
NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments. We are hiring a ServiceNow Senior Software Engineer with HRSD & Service Portal experience. The Senior Software Engineer is responsible for leading, coaching and mentoring a team of Software Engineers who provide the development of project professional services for customers. The Senior Software Engineer will implement and develop customizations based on functional and technical requirements using leading practices and internal code standards on large-scale more complex professional services projects.
We will provide support and guidance to get you up to speed on some of the most amazing projects! We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.
We are #GoingBeyond Come join our crew!
What You Will Be Doing
What You Bring Along
Education:
Certifications & Knowledge
The candidate must be willing and able to continue their education within the ServiceNow platform and beyond. It is expected that the candidate will be able to complete ServiceNow competency Certifications as well as Module Accreditations.
Preferred Certifications:
We Take Care of Our People
NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.