דרושים » הנדסה » Data Backend Engineer, Platform Foundations

As a Principal DevOps Engineer in our Platform Engineering team, you will lead the design and implementation of cutting-edge CI/CD pipelines and cloud architecture that powers our development environment. You'll drive initiatives to enhance developer productivity through automation, tooling, and infrastructure improvements, working with a modern tech stack including Kubernetes, Python, cloud-native and high-scale technologies.
Your Impact
Architect and implement scalable, resilient CI/CD pipelines and cloud infrastructure that supports our engineering organization's evolving needs
Design and develop internal developer tools and platforms that significantly improve developer experience and productivity
Drive the evolution of our Kubernetes-based deployment infrastructure in Google Cloud Platform, ensuring security, reliability and performance
Optimize and scale our CI/CD infrastructure including Jenkins, GitLab, TeamCity, and artifact management systems
Mentor and guide other engineers on DevOps best practices, infrastructure design, and implementation strategies
Drive adoption of infrastructure-as-code, automated testing, and deployment methodologies
Collaborate with development teams to understand their needs and implement solutions that accelerate their workflow
Establish standards and best practices for infrastructure reliability, observability, and performance.

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies. Your role will involve a deep commitment to software design, code quality, and performance optimization. As part of our Engineering team at Dream, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.

As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data. Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

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.

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

we are at the forefront of the AI revolution, delivering cutting-edge accelerated compute platforms for global impact. Our Network Insights group is seeking a talented and motivated Sr. DevOps Engineer to architect, scale, and optimize the DevOps infrastructure supporting our advanced networking simulation services. In this high-impact role, you will lay the foundations to scale a key insight product to reach 10100 times more users, design robust CI/CD pipelines, drive automation, and ensure the reliability, scalability, and security of our cloud-based, and on-prem platforms.. If you are passionate about solving complex infrastructure challenges and enabling world-class software delivery, we want to hear from you.
What You'll Be Doing:
Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments.
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention.
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs.
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments.
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers.
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem.
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements.

We are seeking a Senior Platform Engineer, Observability to join our Observability team. This role offers the opportunity to work at the intersection of software development and platform engineering, contributing to the tools, systems, and practices that improve visibility, reliability, and operational excellence across our engineering organization.

This position is ideally suited for experienced software engineers who are passionate about building high-quality systems and are interested in expanding their expertise in observability, distributed systems, and developer experience. You will help design, build and maintain systems that empower engineers across us to monitor, understand, and troubleshoot their services more effectively.

Our observability team is responsible for delivering scalable and user-friendly solutions to over 150 engineers working across more than 20 teams. Were focused on enabling rapid incident detection and resolution, improving our reliability posture, and supporting a culture of continuous improvement.

What you'll be doing:
Design, build, and maintain observability tools and infrastructure that help our engineers provide actionable insights into the performance and reliability of our systems.
Collaborate with other engineers and teams to enhance the developer experience around monitoring, logging, alerting, and tracing.
Develop and evolve our internal tooling to simplify the process of instrumenting and observing services.
Partner with engineering teams to improve incident response and recovery workflows, and ensure systems meet internal SLOs/SLAs and reliability targets.
Support the migration from our legacy ELK stack to a modern observability platform using Prometheus, Mimir, Grafana, Honeycomb, Loki, Quickwit, and OpenTelemetry.
Contribute to knowledge sharing and the ongoing development of best practices in observability across the organisation.

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

A fast-growing, well-funded startup in the data domain is looking for a Software Development Team Lead to lead a team of engineers, reporting to the Director of Engineering. As a Software Development Team Lead, you’ll lead a team of back-end, full-stack, and data engineers, working closely with Product Managers and other stakeholders to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. Job Summary: As an Software Development Team Lead, you'll be responsible for overseeing the design, development, and implementation of robust software solutions, including strategic full-stack applications and our big data architecture. You'll lead a team of engineers and collaborate with cross-functional teams to drive initiatives that support business objectives. Your expertise in big data technologies, including Elastic, Kafka, and Java, will be critical in ensuring the scalability and performance of our systems. What you’ll do:
? Lead and mentor a team of engineers in the design and development of software solutions, including big data solutions and full-stack applications. ? Architect and implement data processing pipelines ? real-time data streaming. ? Optimize and manage search capabilities. ? Develop strategic full-stack applications to meet business needs. ? Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications. ? Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development. ? Stay up-to-date with emerging trends and technologies in software engineering and big data, and recommend improvements to our architecture and processes. ? Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability. ? Contribute to strategic planning and decision-making regarding architecture and tools. ? Collect and analyze your team’s KPIs. ? Participate in customer calls, understand their use cases, and solve their problems. ? Collaborate with software teams across different locations.

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.