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This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy Sentra across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.


Responsibilities
Customer Deployment

Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for either cloud-native or on-prem environments.
Backend Deployment Services

Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect customer experience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building Sentras multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.


Responsibilities
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning.Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We are looking for a Senior Data & Machine Learning Engineer to operate at the intersection of data platform engineering and machine learning enablement. This role is responsible for building scalable, efficient, and reliable data systems while enabling Data Science and Analytics teams to develop and deploy ML-driven features.

You will take ownership of the data and ML infrastructure layer, ensuring that pipelines, storage models, and compute usage are optimized, while also shaping how data workflows and ML solutions are designed across the organization.


Responsibilities
Data Platform & Infrastructure

Design, build, and maintain scalable data pipelines and storage systems supporting analytics and ML use cases
Ensure compute and cost efficiency across pipelines, storage models, and processing workflows
Own and improve data orchestration, transformation, and serving layers (e.g., Spark, DBT, streaming/batch systems)
Build and maintain shared infrastructure components, including:
IO managers and data access abstractions
Integrations with DBT, Spark, and other data frameworks
Internal tooling to improve developer productivity and reliability
ML Enablement & Collaboration

Partner closely with Data Science to design and productions ML solutions for new features and research initiatives
Translate experimental models into robust, scalable production systems
Support feature engineering, training pipelines, and inference workflows
Help define best practices for ML lifecycle management (training, validation, deployment, monitoring)
Data Quality, Governance & Best Practices

Enforce best practices for building and maintaining data processes across Data Analyst and Data Science teams
Define standards for:
Data modeling and transformations
Pipeline reliability and observability
Testing, versioning, and documentation
Improve data quality, consistency, and discoverability across the organization
Performance & Reliability

Optimize systems for performance, scalability, and cost efficiency
Monitor and troubleshoot data pipelines and ML systems in production
Implement observability (logging, metrics, alerting) across data workflows

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.


Responsibilities
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Raise the Bar - Inspire and guide the team to achieve excellence in software engineering, consistently setting high standards for outstanding delivery.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

As a Site Operations Associate, you will own the day-to-day operations of our Tel Aviv office. Based full-time at the front desk, youll serve as the central point of contact, ensuring a seamless and high-quality office experience.
This is a hands-on, independent role where youll balance front-desk responsibilities with operational and administrative tasks, including vendor management, budgeting, and cross-functional coordination.
Were looking for someone highly organized, proactive, and detail-oriented, who can take full ownership and keep the office running smoothly and efficiently.
What Youll Do:
End-to-End Office Management: Own the daily operations of the Tel Aviv site, including front-desk management, inventory, maintenance, and serving as the primary address for all office-related needs.
Budget & Financial Ops: Manage the office budget with precision. You will work closely with the Finance department, overseeing invoices, tracking expenses, and ensuring cost-effective procurement.
Operational Excellence: Maintain and improve administrative best practices. Youll be the bridge between Finance, Legal, HR, and IT to ensure the office infrastructure supports our growth.
Vendor & Supply Chain Management: Negotiate with and manage external suppliers to ensure high-quality service and operational efficiency.
Employee Experience Execution: Lead the logistics and execution of company events and holiday celebrations.

we are looking for a talented, experienced, and hands-on leader for our Product department,to build its strategy, implement relevant work processes, and take the team to the next level, building world-class digital adherence solutions for our consumers and business clients.


The Opportunity

You will own the product vision, strategy, and execution across our entire B2B2C platform.
Youll shape what we build, how we build it, and how fast we move.
Youll partner directly with executive leadership, influence company direction, and build a high-performing product organization that delivers measurable patient and business outcomes.
If you love turning strategy into shipped product, scaling teams, and building in a fast-moving digital health environment - this role is for you.
Responsibilities:

Responsible for the execution and success of B2B2C product suite.
Improve competitiveness, scale and broaden the companys offering in order to achieve competitive advantage.
Responsible for designing and building internal tools to increase our implementation efficiency and scalability.
Attend client meetings, alongside Sales to present and demonstrate the Product - US Time zone
Be an active partner in building product strategy and roadmap.
Oversee all product-related activities including prioritization, feature definition, user experience, UI/UX and quality.
Defining the Product teams growth plan and strategy.
Managing, coaching, and mentoring your team members (Product Managers and UI/UX designers).
Work closely with cross-functional teams to plan and develop scope, deliverables, required resources, work plan, budget and timeline for new initiatives.

We are seeking a highly motivated, detail-oriented Implementation assistantto support our team. In this role, you will assist with the preparation, review, and quality assurance (QA) of materials submitted for MLR. Success in this role requires strong English skills, the ability to learn quickly, being agile, fast and oriented to details.

This is an hourly role based on workload - ideal for candidates seeking flexible scheduling, including students who want to gain experience in a digital health technology company.

Responsibilities:

MLR materials preparation, including decks of program screenshots and annotations
Review & QA of the materials to ensure meeting the highest quality standards and comply with established guidelines

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.
ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

We are seeking a motivated and detail-oriented Implementation Associate to join our dynamic team. As an Implementation Associate, you will play a crucial role in ensuring the successful implementation of our products. You will work closely with the implementation managers to ensure a seamless workflow. Your ability to understand fast and well the product, with your quick transition between the different programs we are working on, and your flexibility to juggle multiple tasks - will be an essential key for success.

Responsibilities:

Collaborate with the Implementation Managers to plan and execute implementation projects, including review of the Implementation managers work (UI)
Preparation of different program materials for the client
Work with/in the companys internal configuration platform
Ensure the delivered solutions meet the highest quality standards and align with the companys best practices.