דרושים » תוכנה » Senior Software Developer -ML, Core Team

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our companys data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers while collaborating closely with product, DevOps and analytics stakeholders.
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

As a Senior MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior 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.

We are seeking a highly skilled and experienced Software Engineer to join our dynamic team. The ideal candidate will have a robust background in software development and passion for creating secure, innovative and efficient software solutions.
Key Responsibilities:
Design, develop, and maintain software solutions across the backend (Node.js), frontend (Vue.js), and additional client (Go).
Participate in designing and building the architecture of robust, scalable, and secure software solutions across the entire stack.
Ensure seamless integration between the backend and frontend components.
Implement and manage robust security practices to protect our software and clients data in the cloud and on-premise.
Implement or utilize AI/ML algorithms within the product as needed.
Collaborate with other team members to define, design, and ship new features.
Write clean, maintainable, and efficient code.
Conduct code reviews and provide constructive feedback to team members.
Troubleshoot, debug, and upgrade existing software.
Stay up-to-date with emerging technologies and industry trends.

The Senior Full-stack Software Engineer in Security will be responsible for securing our products by identifying unaddressed areas of weakness and driving cleverly engineered, scalable solutions that improve our defense-in-depth. You will be responsible for design and development of core services related to authentication, authorization, encryption within the product to enable a vast majority of use cases securely. Skills you will leverage in this role include the ability to break down prior technical implementations of product use cases, and the ability to deliver incremental security value through small meaningful code refactors.

What Youll Do:
Research, design and implement security-oriented frameworks and features with the common goal of protecting our customers.
Upgrade the security of the current platform to cutting edge security solutions like Passkeys while balancing the needs of multiple customer personas and use cases.
Liaison between the engineering and security org to execute on the security roadmap.
Lead security software development while building technical leverage and influencing the direction of architecture, design, and roadmap.
Routinely participate in cross-vertical code reviews with an emphasis on Security.
Break down complex problems into sub-tasks & iteratively contribute to the goal of the security initiatives using agile practices.
Coach and mentor junior engineers in the team.

As a Senior Software Engineer on the Data Platform, youll be part of one of Orcas most strategic engineering groups, tasked with building the core data ingestion and processing infrastructure that powers our entire platform. The team is responsible for handling billions of cloud signals daily, ensuring scalability, reliability, and efficiency across architecture.

Youll work on large-scale distributed systems, own critical components of the cloud security data pipeline, and drive architectural decisions that influence how data is ingested, normalized, and made available for product teams across . Were currently in the midst of a major architectural transformation, evolving our ingestion and processing layers to support real-time pipelines, improved observability, and greater horizontal scalability, and were looking for experienced engineers who are eager to make foundational impact!

Our Stack: Python, Go, Rust, SingleStore, Postgres, ElasticSearch, Redis, Kafka, AWS
On a typical day youll
Write clean, concise code that is stable, extensible, and unit-tested appropriately
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability
Diagnose complex issues, evaluate, recommend and execute the best solution
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to endfrom design and planning to implementation and deploymentwhile aligning cross-functional teams and ensuring technical excellence
Test software to ensure proper and efficient execution and adherence to business and technical requirements
Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way
Develop expertise of AWS, Azure, and GCP products and technologies

We are looking for a Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities:
Develop and maintain robust, scalable, and secure Java-based software solutions.
Collaborate with product managers, architects, and other engineers to design and implement new features.
Build and optimize data processing pipelines for high-volume analytics applications.
Ensure software quality through code reviews, unit testing, and integration testing.
Participate in architectural decisions, contributing to the design of cloud-based systems.
Monitor and optimize system performance to meet scalability and reliability goals.
Troubleshoot, debug and resolve issues in development, staging, and production environments.

Required Senior ML Backend Engineer
Tel Aviv
As a Senior Machine Learning Backend Engineer, you'll architect and build the high-performance backend systems that power our AI at massive scale, craft real-time ML serving innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
You will be responsible for:
ML Serving Architecture: Design and implement high-performance inference APIs and model serving backends using Java & Python.
Model Lifecycle Management: Build systems for model versioning, A/B testing, canary deployments, and automated rollbacks.
Integration Platform: Create robust APIs and SDKs that enable product teams to seamlessly integrate AI capabilities.
Observability & Monitoring: Build comprehensive metrics, logging, and tracing systems for ML workloads.
Cross-team Leadership: Mentor engineers & researchers, drive technical decisions, and influence platform architecture across the organization.

As a Senior Full Stack Engineer within the Platform Services group, you will be a key member of the Frontend core team, which forms the backbone of our platform's frontend development. We are seeking a highly skilled individual with extensive full-stack experience. This role is crucial for building frontend infrastructure, libraries, and tools for our company's entire frontend community, demanding strong leadership, monitoring skills, and integrity, while leveraging cutting-edge web and cloud technologies.
As a Senior Full Stack Engineer at our company you will...
Lead the development of foundational frontend components and services for the Platform Services group, ensuring other teams have robust and reliable building blocks
Write high-quality, testable, and efficient code, using TypeScript and Vue
Develop and maintain production-level Node.js services to support platform-wide features
Provide mentorship and technical feedback to other engineers on the team, fostering a culture of learning and growth
Initiate and promote innovative ideas for the continuous improvement of our frontend and Node.js infrastructure and tool functionality
Integrate cutting-edge AI tools and methodologies into development and research workflows to boost efficiency and foster innovation. Stay current with the latest advancements in AI.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspectsensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Req ID: 20718

Were looking for engineers who are passionate about operating system internals, large-scale distributed systems, and cloud security and who want to make a meaningful impact by building robust, high-performance security platforms. This is also a great opportunity to take ownership, lead initiatives, and grow through collaboration, mentorship, and technical leadership.

Our Stack: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure

On a typical day youll:
Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
Collaborate with security researchers and product managers to translate complex requirements into impactful product features
Write clean, efficient, and testable code, ensuring high performance and reliability
Participate in design and code reviews to uphold technical excellence and team standards
Lead features end-to-end from design and planning to deployment and monitoring
Improve system observability, performance, and resilience in production environments
Stay current with developments in the cloud security landscape, vulnerability management, and OS internals