דרושים » הנדסה » Senior DevOps Engineer

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.

As a DevOps Architect, you are an advocate for efficiency and excellence. You will assess, advise, define, implement, and support world-class DevOps architectures and practices across complex business environments. You play a key role in shaping and guiding the adoption of modern DevOps methodologies, ensuring alignment between business goals, development processes, and operational needs. You bring leadership and strategic thinking to the table, making high-impact decisions and setting the direction for critical initiatives. With a deep understanding of software delivery, you prioritize quality, scalability, and best practices throughout the lifecycle. You have a strong affinity for data and cost optimization, with an eye for detail and a proactive approach to resource management. Your ability to influence and guide multiple cross-functional teams, align on clear objectives, and drive results in a matrixed environment positions you as a respected technical authority. Creative, analytical, and solution-oriented by nature, you thrive in high-pressure environments and are driven to continuously improve systems, processes, and outcomes.
What am I going to do?:
* Design and lead the implementation of scalable, secure, and cost-efficient DevOps architectures.
* Define and promote DevOps best practices, standards, and tooling across engineering teams.
* Collaborate closely with DevOps and development teams to ensure seamless delivery and operational excellence.
* Evaluate existing CI/CD pipelines, infrastructure, DBs and processes, identify gaps and drive improvements.
* Guide teams in adopting infrastructure as code, observability, automated testing, and deployment strategies.
* Monitor and manage infrastructure cost efficiency and performance, using data to inform technical and business decisions.
* Serve as a trusted advisor to engineering leadership, influencing decisions on architecture, operations, cost and development workflows.
* Drive initiatives that improve system reliability, deployment speed, cost, reliability and team productivity.
Equal opportunities:
were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

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 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

Required Site Reliability Engineer- Infra
Realize your potential by joining the leading performance-driven advertising company!
As a Site Reliability Engineer- infra, on our Infrastructure team at the TLV office, you will play a key role in ensuring the reliability, scalability, and performance of our critical systems. You will be responsible for managing and improving our core infrastructure, with a focus on automation, monitoring, and incident response. You will work with a wide range of technologies, including Kubernetes, monitoring and observability tools, configuration management systems, and core networking services.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure the reliability, availability, and performance of our infrastructure services.
Manage and maintain our Kubernetes infrastructure, including KubeVirt.
Design, implement, and maintain our monitoring and observability stack (SensuGo, VictoriaMetrics, Prometheus, ELK).
Automate infrastructure provisioning, configuration, and deployment processes using Puppet and Ansible.
Manage and maintain core services such as DNS and networking.
Troubleshoot and resolve complex infrastructure issues in a timely and efficient manner.
Participate in on-call rotations and incident response.
Develop and maintain infrastructure-as-code (IaC).
Identify and implement proactive measures to prevent incidents and improve system reliability.
Collaborate with development teams to ensure smooth and reliable deployments.
Contribute to the design and implementation of new infrastructure solutions.
Drive improvements in system architecture, processes, and tools.
Mentor and coach other team members.

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.

Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.

As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
We are looking for a skilled senior DevOps Engineer to join our Cloud Infrastructure team.
In this role, you'll be at the forefront of developing platform engineering frameworks used by development teams.

Youll develop our platform engineering solutions, which enable our product teams to move (crazy) fast. Youll work on developing our Infrastructure as Code, maintain all Cloud environments from Dev to Production, enhance Observability, and proactively drive our infrastructure to remain at the forefront of technology.

We are a fast-moving company that encourages and values innovators, deep-divers, and out-of-the-box thinkers.

In this role youll
Develop Infrastructure as code using Pulumi and the kubernetes operators framework
Work on maintaining and enhancing multiple kubernetes cluster across multiple development stages
Maintain and enhance our development environment solutions
Maintain and enhance our monitoring and observability
Implement new infrastructure features for cutting-edge products to the latest industry standards
Provide guidance, tools, and support for dev teams on infrastructure-related issues
Participate in incident management, including root cause analysis and post-mortem reviews
Participate in on-call rotation for production support

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

We are seeking a DevOps Engineer with strong experience in managing large-scale data systems and infrastructure. The ideal candidate is passionate about building efficient, scalable, and reliable systems for data-intensive applications.
Responsibilities:
Take an active role across all DevOps areas, including:
Developing and maintaining monitoring and alerting infrastructure to ensure system reliability and performance.
Overseeing the development and upkeep of tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Design, deploy, and optimize scalable data infrastructure, including data lakes and high-throughput distributed systems.
Ensure reliability and performance in environments processing terabytes of data daily.
Manage, monitor, and maintain self-hosted open-source databases in a Linux environment.
Automate operational tasks and deployment pipelines using Bash and modern CI/CD tools.
Collaborate with Data Engineering and Infrastructure teams to streamline and harden the data lifecyclefrom ingestion to analysis.

We are looking for a DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry.
Our team thinks differently and quickly, delivering high quality and unique code while using the latest technologies and frameworks. All of that without forgetting to enjoy the ride!
What Youll Be Doing
Championing a DevOps mindset by identifying friction points and implementing scalable automation to improve reliability, delivery speed, and developer experience.
Operating and optimizing our production environments, using infrastructure as code and leveraging modern observability tools.
Fostering a culture of self-service in R&D by building intuitive internal tools and enabling teams to own their operational workflows.
Leading the deployment lifecycle end-to-endfrom architectural design to hands-on implementationacross multiple regions and environments.
Our company and team spirit foster an environment that encourages taking initiative, being open to new ideas, and doing it in style!

Required Staff MLOps Engineer
Apply
Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.