דרושים » תוכנה » AI Operation Manager

As a Senior DevOps Engineer within the XSPM team, you will be a critical, go-to technical expert responsible for the health, performance, and evolution of our database and infrastructure systems. When production databases degrade or behave unexpectedly, you are the person who dives deep, investigating root causes hands-on, understanding the underlying mechanics of the problem, and designing lasting solutions. Your mastery of database systems makes you the authority the team relies on to diagnose complex performance issues, architect better data solutions, and ensure our infrastructure scales with confidence.

Beyond databases, you will drive our DevOps practices end-to-end - CI/CD pipelines, infrastructure automation, and operational reliability across the XSPM platform. This is a high-impact, highly visible role at the intersection of database engineering and DevOps, where your expertise directly shapes how the team delivers and operates at scale.

We're a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we're responsible. We work in a distributed, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life.

What You Will Do:

Serve as the team's database expert, the first person to investigate, diagnose, and resolve complex performance problems across our production database systems (MongoDB, OpenSearch, PostgreSQL, Cassandra).

Perform deep-dive root cause analysis on database performance issues, understanding query execution internals, resource consumption patterns, cluster behavior, and system-level interactions to identify the real source of problems, not just symptoms.

Design and propose better database architectures and solutions, recommending when to re-architect data models, migrate workloads, introduce new technologies, or redesign how services interact with their data layer.

* You will put in every effort within the team to ensure the data architecture is well designed.

Own capacity planning, scaling strategies, and high-availability designs for database clusters, ensuring systems are built to handle the team's growth trajectory.

Act as the bridge between development and infrastructure, advising engineers on how their application patterns impact database performance and guiding them toward sustainable solutions.

Build and maintain CI/CD pipelines, infrastructure-as-code (Terraform, Helm, Kubernetes manifests), and automated deployment workflows for the xspm team's services.

Design and manage observability stacks, dashboards, alerting rules, and SLOs, to maintain best-in-class availability for critical data pipelines and services.

Drive infrastructure automation to reduce operational toil, including automated scaling, self-healing systems, and configuration management.

Participate in on-call rotations, incident response, and post-incident reviews, driving root-cause analysis and long-term reliability improvements.

Evaluate and adopt new database technologies and infrastructure tooling that align with the team's evolving data architecture needs.

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he Data Engineering (DE) team is a Team that plays a significant role in the ongoing cloud technologies. The ideal candidate is a data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, and to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.

We are looking for an experienced NLP Data Science Team Leader to lead a team of talented NLP Data Scientists and drive the development of cutting-edge NLP solutions at scale. This role combines hands-on technical leadership, people management, and strategic influence over product and research directions.



Responsibilities

Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies
Scale impact
Improve processes, workflows, and best practices for research and production
Ensure efficient use of large-scale data and infrastructure

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

As a Software Data Platform Team Leader, you will lead a team of expert developers in building high-scale, data-intensive solutions that deliver low-latency insights and ML-driven capabilities. You will champion technical excellence across our state-of-the-art stack including Spark, Kafka, and data lakes while collaborating with stakeholders to transform complex data into real customer value.

Responsibilities
As a Software Data Platform Team Leader, Your impact will be:

Lead a team of talented developers, driving the core of our product throughout its development lifecycle to deliver reliable, low-latency insights and ML-driven capabilities at massive scale.
Ensure technical excellence, high product quality, innovation, and on-time delivery in an agile environment.
Collaborate closely with Product Management, development teams, and other stakeholders to transform ideas into real customer value.
Actively participate in the R&D Leadership Forum, contributing to discussions that shape the future of our product.
Mentor and support team members in their professional growth and career development.

we are looking for a Applied AI Data Scientist.
What Youll Do:
Devise, initiate, manage and execute cutting-edge exploration and exploitation projects.
Apply your knowledge of Data Science, Machine Learning and AI-driven algorithms to create scalable data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and develop automated, intelligent systems to address them.
Design, build and deploy AI/ML models (including predictive models, recommendation systems and generative AI solutions) to drive business impact.
Leverage modern AI tools and frameworks to accelerate research and production workflows.
Proactively seek growth opportunities aligned with core KPIs.
Enable real-time and near real-time data insights - instant data gratification guaranteed.