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We are looking for a Senior Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.
Responsibilities:
As a Senior Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:
Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.
Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.
Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.
Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.
Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.
Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

We are looking for a Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.
Responsibilities:
As a Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:
Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.
Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.
Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.
Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.
Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.
Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.

What youll do:

High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.

End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.

Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.

Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.

AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.

Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.

Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Responsibilities:
Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems.
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.
Provides tangible feedback to improve product quality and mitigate risks.
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

we are looking for a AI Architect.
While team leads own delivery and execution, the organization is missing a senior, hands-on technical leader whose role is to:
Provide system-level AI architectural guidance
Drive hands-on applied innovation
Establish AI best practices and compliance readiness
Serve as a senior technical sounding board across teams
This role fills that gap.
It is a director-level individual contributor role, designed to bring deep technical leadership, fast execution, and architectural clarity

We are looking for a Tech Lead to serve as the technical "center point" for our Population Health engineering group. In this high-leverage, non-managerial role, you will float between multiple feature teams to solve the most complex architectural challenges, unblock technical debt, and ensure our systems scale as fast as our data does.
You aren't just building features; you are building the engine that powers them. You will spend 70-80% of your time hands-on-coding, architecting, and creating the shared tools that make every other engineer in the group faster and more effective.
Responsibilities:
Architectural Glue: Own the technical "contracts" (APIs) between teams to ensure seamless integration across the Pop Health ecosystem.
Performance & Scalability: Optimize our engines and application layer to handle massive clinical datasets, ensuring our UI remains snappy and our backend is resilient.
Data Pipeline Strategy: Lead the design and implementation of scalable BI data pipelines and robust ETL/ELT processes that transform complex clinical data into actionable insights.
Force Multiplier: Identify friction points in the development lifecycle and build internal tools or libraries to increase engineering velocity.
Technical Stewardship: Provide high-level code reviews, author RFCs for major architectural shifts, and mentor senior engineers through complex technical hurdles.

We are actively seeking a hands-on Implementation Engineer to play a vital role in the success of our customers. Standing at the intersection of technology and customer success, you will be responsible for translating AI and data requirements into seamless integrations with our customers' EMRs and clinical workflows.
In this role, you will own the end-to-end technical onboarding lifecycle - from initiation to go-live. You will serve as the primary technical voice for our customers' IT stakeholders and collaborate closely with our Product, R&D, and Medical teams to ensure frictionless integrations.
Responsibilities:
Lead Technical Onboarding: Own the full technical implementation lifecycle for new customers, ensuring projects are delivered on time, within scope, and meet high-quality standards.
EMR Integration & Configuration: Execute hands-on technical integration efforts. You will configure workflows, validate data integrity, and ensure interacts seamlessly with various EMR environments.
Stakeholder Management: Act as the primary technical point of contact for customer IT teams (CTOs, IT Managers, Analysts). Build strong relationships to troubleshoot issues and facilitate smooth collaboration.
Technical Subject Matter Expert: Represent the technical aspects of the platform in customer interactions. Demonstrate deep product knowledge to solve complex workflow challenges.
Cross-Functional Collaboration: Work closely with Customer Success, Product, R&D, and Medical teams to advocate for customer needs and streamline the feedback loop between the field and engineering.
Process Optimization: Help design and develop automation tools, runbooks, and frameworks to streamline integration processes and improve scalability.

we are looking for a talented Senior Software Engineer
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop, maintain, and imperialize the products application layer (front end & back end)
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry

We're seeking a talented, versatile, and highly independent senior mobile engineer with experience in web development to join our engineering team. You will be in charge of end-to-end development and significantly impact both the product and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop and maintain high-quality React Native applications for iOS and Android
Collaborate with product, medical, and software teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Roles and Responsibilities:
Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products.
Drive performance optimization, and efficient memory management.
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues.
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction.
Explore and implement new methodologies fostering continuous improvement and innovation.
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions.
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team.
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability.
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture.
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset.
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains.
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices.

we are looking for a Technical Support Engineer.
The Technical Support Engineer is a key contributor to our overall customer experience and our customers' product satisfaction. They are also the first line of defense that ensures our R&D can focus on creating top-of-the-line value-based-care solutions with AI.
The ideal candidate is passionate about technology, troubleshooting, and customer success.
Responsibilities:
Resolve customer issues daily, ensuring timely responses and high levels of customer satisfaction
Proactively manage the day-to-day resolution of customer issues in a timely (SLA) manner and maintain their high satisfaction
Contribute to methodologies, best practices, and techniques to improve our support process
Build and contribute to Navinas technical support knowledge base.
Work closely with R&D, Product, Customer Success, and our Medical team for complex problem-solving and time-sensitive escalations.

We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative‑AI capabilities across our products and internal workflows.
You will create scalable APIs, data pipelines, and serverless architectures that integrate large‑language‑model (LLM) services such as Amazon Bedrock, OpenAI, and open‑source models, enabling teams to safely and efficiently leverage generative AI.
Who You Are:
You have experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots.
You're Hands‑on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads.
Background in microservices, domain‑driven design, or event‑sourcing patterns.
What Youll Actually Be Doing
Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features such as chat, summarization, and content generation.
Build and maintain AWS‑native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self‑hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval‑Augmented Generation (RAG) pipelines.
Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions.
Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.