דרושים » הנדסה » FullStack Engineer

We're hiring a full-stack engineer with hands-on experience building end-2-end features. Experience with one of the following is a major advantage: Java / Kotlin / Typescript / Go (C# is lower advantage but still valid).
We value clean code, fast execution, and full end-to-end ownership.


Responsibilities:

Design, develop, and maintain full-stack features using React on the frontend and Kotlin on the backend.
Own your work across the stack from schema and APIs to UI and UX.
Contribute to our infrastructure, testing strategy, and CI/CD pipelines.
Collaborate closely with product, design, and engineering peers.
Lead by example: write clean, maintainable code, participate in reviews, and uphold high engineering standards.

We are Tailor Brands We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business.
We Need You! At Tailor Brands, our developers take full ownership of both front-end and back-end tasks, driving projects from initial concept to live production. You'll build seamless user interfaces, and scalable backends, and see your work empower businesses worldwide. In our full CI/CD environment, you’ll collaborate closely with a passionate team, and enjoy the freedom and responsibility to deliver impactful, high-quality solutions that make a difference daily.
Key Responsibilities
* Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
* Build next-generation web applications focused on user experience and scale.
* Create efficient and reusable front-end abstractions and systems.
* Craft secure, scalable, and maintainable backend services.
* Lead architecture design, implementation, and monitoring of solutions.
* Perform code reviews and promote best practices in software development.
* Champion modern technologies and approaches in software deployment and monitoring.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
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 are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Full Stack Tech Lead. In this role, youll be one of our first engineers. Youll shape architecture, set engineering standards, and lead the development of real-time, AI-first features for high-stakes environments.

What Youll Do:
Lead critical projects end-to-end, from design to deployment, across our stack.
Own system architecture - make foundational decisions that balance speed, scalability, and stability.
Translate complex data and ML outputs into intuitive, reliable user experiences.
Ensure production-readiness, observability, and deployment excellence from day one.
Mentor engineers, set technical standards, and shape our engineering team and processes.
Collaborate tightly with design, product, and ML to deliver seamless, mission-critical experiences.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

Are you ready to work on innovative web projects that will reach a wide audience and make a significant impact? If so, youve come to the right place.
Were looking for a Senior Fullstack Developer with at least 6 years of experience to join our fast-paced, high-performing team. Youll be working on exciting and high-impact features in our companys Innovation space, integrating LLM-powered components and shaping next-gen user interfaces.
This is a great opportunity to contribute to a mission-critical team, where your expertise will directly influence our product and business KPIs.
Youll be working in a hybrid environment, an innovative team of developers and AI engineers. With a high degree of ownership and responsibility.
What am I going to do?
Lead end-to-end projects with an autonomous, proactive approach.
Build scalable and high-performance UIs using React and TypeScript.
Contribute primarily to backend services with python, with secondary involvement in other languages as required.

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

Were looking for a Full Stack Frontend Engineer to join our Platform team, to develop an innovative product: a platform that enables seamless data processing at scale, tackling complex big-data processing, algorithmic computations, and large-scale performance challenges. You will be joining a team of highly professional engineers who are driven by a commitment to engineering excellence, a passion for creating the best software products at scale, and a desire to work collaboratively in an egoless environment.
If you want to play a key role in the team and bring a real impact to the world
Your Impact:
Design, develop, and maintain an accessible full-stack SaaS platform, with a focus on high-quality frontend experiences
Take ownership of features from concept to deployment, ensuring quality and performance at every stage.
Collaborate closely with Product, DevOps, Frontend, and Data Science teams to align priorities, ensure efficient development cycles, and achieve cross-functional objectives.
Contribute to backend services and APIs, ensuring reliable and secure integrations with backend services built in Go, Node.js, and Python.
Participate in code reviews, design discussions, and architecture decisions.