דרושים » תוכנה » DevOps Engineer

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are seeking a skilled and experienced DevOps/SRE (Site Reliability Engineer) to join our dynamic DevOps team.

As an SRE Engineer, you will play a crucial role in the design, development, and implementation of our infrastructure and deployment processes.

Your primary focus will be on maintaining and improving our system's reliability, scalability, and performance along with building back-office tools and developing the Infrastructure of Aqua's SaaS services.

If you are a motivated and talented individual with a passion for building reliable and scalable infrastructure, we would love to hear from you. Join our team and contribute to the success of our organization by ensuring the availability and performance of our systems through effective DevOps and SRE practices.

Responsibilities:
Collaborate with development teams to design and implement scalable, reliable, and efficient systems and processes.
Manage and enhance our AWS infrastructure using Terraform and Step Functions, ensuring high availability, security, and scalability.
Develop and maintain back-office applications using Retool.
Automate infrastructure provisioning, configuration management, and application deployment processes.
Monitor and troubleshoot system and application performance using monitoring tools such as Datadog.
Implement and maintain alerting systems and response procedures for timely issue resolution.
Continuously improve the reliability, performance, and security of our systems through optimization and automation.
Stay updated with the latest trends and best practices in DevOps and SRE domains and apply them to enhance our infrastructure.

As a DevOps Engineer, you will join our data & engineering team and design and manage scalable, cloud-based infrastructure focused on big data and machine learning. You will ensure high-scale production environments are reliable, secure, and efficient, supporting seamless ML/AI deployments.

What will you do?

Design, build, and maintain scalable and reliable infrastructure for our big data applications
Automate the deployment and scaling of our applications using Kubernetes and related technologies
Implement and maintain security and compliance protocols
Monitor and troubleshoot infrastructure and applications
Collaborate with product teams to define and implement infrastructure requirements
Stay up-to-date with the latest industry trends and technologies
Manage and optimize large GPU clusters

We are hiring a DevOps Engineer to our Environments team. The team is responsible for managing cloud environments and multi-cloud deployments across AWS, GCP, IBM, and other platforms. The team goals are creation & maintaining of cloud environments and resources with efficiency and minimal effort.

As a DevOps Engineer, you will:

Creating cloud environments and resources "in a click" with IaC capabilities and internally developed tools, to make sure that each environment is production-ready.

Actively participate in defining and implementing our DevOps cloud environments (AWS, GCP, IBM) roadmap.

Work in high-scale environments - our data pipeline processes 55Tb of data each day.

Take full ownership of Kubernetes-based environments.

Impact and take an active part in the platform roadmap - our Platform is a product designed for engineers.

Give back to the community - speak at conferences, write blogs. Contribute to open-source projects and release new open-source software.

We are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.

Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior.
Solve diverse and complex problems in a high-scale, cloud-native environment.
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance.
Design, develop, and maintain robust, secure, and efficient software solutions.
Ensure high system reliability by implementing best practices in monitoring, observability, and automation.
Review code, architecture, and data to identify and troubleshoot technical and performance issues.
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning.

We are seeking a skilled and passionate backend engineer to join the Core Technologies Team.

As a part of our dynamic team, you will contribute to the development of the foundation of our SaaS Platform. In this role, you'll immerse yourself in a stimulating, fast-paced environment where creativity and innovation are the driving forces behind your decisions. You will have the opportunity to collaborate with our major clients, significantly influencing our business outcomes. Your primary focus will be on constructing our next-generation cutting-edge data lake, concentrating on the creation of large-scale data pipelines.

Responsibilities:

Design and develop core systems and software infrastructures, collaborating with research, product, and open-source teams.

Engage closely with engineers, researchers, product owners, and designers to identify and solve complex cybersecurity problems and spearhead the development of a new product line.

Take complete ownership of projects, from initial definition and design to development, testing, and post-deployment.

Construct multi-tenant scalable microservices deployed as part of our SaaS product.

Operate within a CI/CD environment alongside experienced and talented engineers, utilizing state-of-the-art technologies.

Plan and execute PoCs to evaluate new technologies and products.

Thrive in an environment that fosters individual growth.

As a Machine Learning Software Engineer, you will join our AI Engineering group of our company:
Our goal is to deliver a modern infrastructure and solutions to enhance our company's algorithm development life cycle and shorten our delivery times.
We are an independent group, consisting of excellent and experienced engineers with diverse skills in software, infrastructure and algorithms.
We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products. We develop products that enable the research and deployment of state-of-the-art algorithms.
It develops the tools and sets the standards that allow great research.
What will your job look like:
Work closely with algorithm developers and infrastructure engineers to design, develop and automate the software that supports distributed training of deep learning algorithms.
Set the standard for developing reliable software, allowing reproducible research at scale.
Build and improve data pipelines to make the development process for deep learning algorithms more efficient.
Develop products that help algorithm developers test their models on large-scale real-world data. Our tech stack includes: Pandas, Polars, PyTorch, Kubernetes, Argo-Workflows, Spark, AWS.

Each of our Experienced Python Developers codes and enhances our products and frameworks, shaping the way of work for hundreds developers in our company. We focus on technology, reliability, and usabilityall this at exceptionally large scales of computing, storage, codebase, data, and more.
We are looking for a talented Python Developer to join us in scaling up our infrastructure and services, working across multiple teams in areas related to development, automation, algorithms and CI.
What will your job look like:
Collaborate with different algorithmic groups in our company
Work with highly experienced developers and architects.
Work on a large-scale system from its early stages and watch it evolve
Take part in the design & development of a multi-service cloud-based big data platform
Deliver a high-quality product, which is a standalone tool, fully developed in our team.
See your tools being used by hundreds of users, where every improvement, optimization, and a new feature is based on real requirements and is usually very significant to their daily work.

In this role, you will work closely with data scientists, analysts, and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.

Location: Ramat Gan, Hybrid Model

What will you do?

Design, build, and maintain data pipelines to extract, transform, and load data from various sources, including databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Reimplement and productize scientific computational methods
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with data scientists and other cross-functional teams to understand their data needs and requirements
Develop and maintain documentation for data pipelines, processes, and systems

As a Team Leader, you will take end-to-end ownership of a key domain within our Pricing and Rating group. You will be responsible for designing and delivering new features, driving architectural and infrastructural evolution, and ensuring production readiness. You are expected to lead both technically and organizationally, helping your team grow while maintaining high standards of engineering and delivery.
What youll do:
Lead a team of skilled engineers, providing technical guidance and people management.
Take full ownership of a critical area in our pricing and rating engine, leading both delivery and long-term direction.
Drive the design, development, and delivery of scalable and high-performance components.
Coach and mentor developers, fostering both technical and leadership growth.
Promote continuous improvement of development practices, processes, and team agility.
Collaborate closely with product, architecture, and cross-functional teams to align priorities and drive impact.
Participate in and lead high-level design and architecture discussions.