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This role is a critical part of our companys Map Release team, which is a core function within the broader our company's Road Experience Management (REM) organization. Our mission is to provide the Autonomous Vehicle with highly accurate, validated maps that allow it to maneuver flawlessly and safely on the road, while rigorously verifying their integrity and quality. You'll have the opportunity to work closely with our AV, Product, and R&D Teams to deliver these essential components. We are seeking an experienced and technically proficient Release Manager to own and lead the software release lifecycle across our organization. This role requires a combination of deep technical understanding, strong leadership, and excellent interpersonal skills to ensure high-quality, predictable, and timely deployments. The ideal candidate will act as the crucial liaison between development, QA, and operations, managing conflict and driving adherence to release processes.
What will your job look like:
High-impact role where you'll define the cadence and quality of our product delivery. You'll work directly with top technical talent and have the autonomy to implement the best practices required to scale our engineering operations.
Define, document, and manage the end-to-end release process, ensuring consistency and predictability across all environments.
Manage and communicate risks, dependencies, and mitigation strategies related to releases.
Maintain a high-level technical understanding of the core product interaction points between various software components.
Drive best practices for Git branching strategies, specifically managing release, stable, and cascading branches to maintain code integrity and stability.
Serve as the central point of contact, facilitating cross-functional coordination between engineering, QA, product, and operations team leads.
Effectively manage and resist pressure from various team leads and stakeholders regarding scope, schedules, and priorities.
Utilize Python proficiency to develop and maintain automation scripts, tooling, and utilities that streamline the release process and improve efficiency.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
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 You’ll 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.


Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact


Next Step:
Hit Apply!