דרושים » תוכנה » Java Developer

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate solid software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You will design and implement ML/AI infrastructure components (model‑serving APIs, inference pipelines, feature stores).
Collaborate closely with data scientists and data engineers to productionize models and automate retraining workflows.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Containerize and deploy ML models at scale.
Build and maintain CI/CD pipelines for automated model training, testing, and deployment.
Work with data engineers to integrate streaming/batch data into feature pipelines
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.

Join us and become part of the already elite team, working on new disruptive technologies. Youll have the opportunity to work with technologies that power the worlds largest cloud provider, within a dynamic, open, and fast-paced environment.
We offer a growing dynamic, open, teamwork environment operating at high pace mode. You will be developing challenging software infrastructure and services using our cloud computing technologies and AI .
We are looking for you, a highly skilled engineer who is a team player, eager to learn and innovate.

Key job responsibilities:
Linux Expertise:
1. Minimum 4 years experience with Linux systems, Redhat family is an advantage..
2. Professional-level coding and critping in Python, Bash, csh,tcl, java.
3. Extensive experience building and maintaining CI/CD pipelines, preferably using Jenkins
4. Advanced knowledge of Git
5. Experience with multi-repository management tools such as Gerrit, GitLab, Repo.
5. Strong experience with Ansible automation.
6. Demonstrated expertise in our cloud infrastructure and services.
7. Experience with cloud-native architectures and solutions.
8. Proficiency with modern monitoring solutions including OpenSearch, Zabbix, Grafana, Prometheus, and Loki.
9. Strong fundamentals in networking, including: TCP/IP, secure data transfer, network troubleshooting capabilities.
10. Containers - Practical experience with Docker containerization, Familiarity with Kubernetes, particularly our EKS.

A day in the life:
Proven ability to lead projects in a multi discipline environment , big CI environment, HPC and EDA flows.
Independent, self-starter and team player.
Ability to effectively communicate (verbal and written correspondence in English) in a professional and courteous manner.
Robust troubleshooting and strong analytical skills with demonstrated problem solving ability required.
Technical aptitude. Written and oral communications skills.
Project management and the ability to deal effectively with people at all levels (technical and business audiences) and in different situations. This includes the ability to develop clear, concise documentation.

We are looking for an infrastructure leader with a strong software engineering background.
As an infrastructure leader in the Cloud-Scale Machine Learning Acceleration team, youll be responsible for building testing infrastructure for the development of Trainium chips.

Key job responsibilities:
1. Design a framework to automate verification and validation tests for pre-silicon and silicon on multiple platforms (simulation, emulation, silicon prototypes, etc.).
2. Implement software for different types of environments (embedded / x86).
3. Build systems to collect and analyze test results and related test artifacts like logs.
4. Build visual tracking tools for regression and coverage metrics.
5. Drive integration in multiple teams and ensure the automation system scales with org needs.

We seek a highly skilled and experienced Solution Architect with a deep understanding of Data and operations to join our team. In this role, you will be responsible for designing and implementing data-centric solutions that enable our customers to achieve their business objectives, with a strong focus on building efficient and reliable ETL pipelines. You will work closely with clients to understand their needs, translate them into technical requirements, and architect scalable, reliable, and secure data pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their data
challenges.
Design and implement end-to-end DataOps solutions, including data
ingestion, processing, storage, and analysis.
Leverage cloud technologies and best practices to architect scalable and
cost-effective data architectures.
Ensure data quality, integrity, and security throughout the data lifecycle.
Automate data pipelines and workflows to improve efficiency and reduce
manual effort.
Stay up-to-date with the latest DataOps trends and technologies.
Provide technical guidance and mentorship to other team members.