דרושים » הנדסה » Senior back end Engineer

We are looking for an experienced Senior Backend Engineer to join our SaaS platform team.
As part of our platform team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of our companys SaaS security architecture.
Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.
If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.
Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

We are looking for an experienced Frontend Tech Lead to join our SaaS platform team.
You will drive the design and implementation of modern, scalable, and high-performing web applications, leading the development efforts.
As a technical leader, you will mentor engineers, define best practices, and ensure code quality and architectural excellence while collaborating closely with Product, UX, and dev teams.
Key Responsibilities
Lead the development of scalable and maintainable frontend architecture for a complex SaaS web platform.
Design, implement, and optimize high-quality React and Node.js components.
Guide architectural decisions for the frontend applications.
Collaborate with cross-functional teams including Product Managers, Designers, and Backend Engineers to define requirements and deliver end-to-end solutions.
Establish coding standards, conduct code reviews, and lead technical discussions.
Drive CI/CD best practices, testing automation, and performance optimization.
Stay up to date with emerging frontend technologies and frameworks.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.

As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.

Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.

This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.

Responsibilities

Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
Your Role: Drive, Build, and Shape:
Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.

Required Software Developer
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are seeking a highly skilled and motivated Senior DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, reliable, and secure infrastructure while enabling development teams to deliver software efficiently. You will be responsible for driving best practices in automation, CI/CD, cloud operations, observability, and infrastructure as code, while mentoring team members and collaborating with cross-functional stakeholders.

Responsibilities

Design, build, and maintain scalable cloud infrastructure (AWS, GCP).
Implement Infrastructure as Code (IaC) using tools like Terraform, Helm.
Manage and optimize Kubernetes clusters and containerized workloads.
Ensure system reliability, scalability, and security across production and non-production environments.
Improve monitoring, logging, and alerting systems for proactive issue detection and resolution.
Develop and optimize CI/CD pipelines to improve software delivery speed and reliability.
Collaborate closely with developers, operations, and product teams.
Participate in on-call rotations and incident response, driving postmortems and improvements.
Mentor engineers and contribute to building a strong DevOps culture.
Continuously evaluate and adopt new tools, technologies, and processes to improve infrastructure and operations.

Senior software engineer Vision & GNC About the Role: We are seeking a Senior software engineer to lead the development of advanced Computer Vision and Guidance, Navigation & Control (GNC) software for cutting-edge UAV systems. This position offers the opportunity to design and implement complex algorithms and high-performance software that power autonomous flight, Real-Time decision-making, and mission execution in challenging environments.

You will take ownership of key components in the autonomy stack, working closely with cross-functional teams in infrastructure, mission control, systems engineering, flight operations, and product. This is a hands-on role for an experienced engineer who is passionate about autonomy, robotics, and intelligent airborne systems. Key Responsibilities:
Design, develop, and optimize Vision and GNC software modules for autonomous UAVs.
Lead complex feature development from concept through production.
Integrate advanced computer vision algorithms, including VIO, tracking, motion detection, and image stabilization.
Develop guidance and control algorithms enabling precise navigation, hovering, and targeting.
Collaborate with multi-disciplinary teams to ensure robust integration and Real-Time performance.
Translate research and prototypes into reliable, production-grade software.
Mentor junior engineers and contribute to technical excellence within the team.

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.