לוח משרות דרושים

In one sentence
Design and implement a modern software development lifecycle and CI/CD operating model augmented with agentic AI. Partner with engineering teams to assess current practices, identify pain points, introduce spec-driven and context-engineered workflows, and deliver practical tooling and PoCs that can be adopted at scale.
What will your job look like?
Assess existing SDLC, CI/CD, and operational practices; identify gaps, bottlenecks, and improvement opportunities.
Evaluate current AI-for-engineering assets and developer enablement maturity (assistants, agents, templates, guardrails).
Select, pilot, and operationalize AI tools for developers, CI/CD automation, and post-delivery operations.
Build PoC/MVP agentic flows and tools; define adoption patterns and hand over mature solutions to delivery units.
Participate as a thought leader in architecture and SDLC forums; define standards, patterns, and governance where needed.
Mentor teams and uplift engineering capability in AI-driven development, delivery, and operational readiness.

In one sentence
We are seeking an experienced and strategic FinOps Team Lead to own and scale our Cloud Financial Operations practice across multiple business units and cloud environments. You will lead day‑to‑day cloud financial operations, driving cost optimization, financial accountability, and operational efficiency, while partnering closely with Engineering, Finance, Procurement, and product teams to ensure cloud investments deliver maximum business value.
What will your job look like?
Team Leadership & Development:
o Manage and mentor a team of FinOps professionals, fostering a culture of collaboration and continuous improvement.
o Define roles, responsibilities, and career development plans for team members.
Optimization & Task Management:
o Oversee and prioritize optimization initiatives across multiple cloud platforms (AWS, Azure, GCP).
o Ensure timely execution and tracking of cost-saving projects and operational improvements.
Planning & Governance:
o Build and maintain weekly, monthly, and annual work plans aligned with organizational goals.
o Establish governance frameworks for FinOps processes and ensure compliance with corporate policies.
Reporting & Transparency:
o Provide clear visibility into savings achieved, task status, and ROI of optimization efforts.
o Develop dashboards and reports for executive leadership and key stakeholders.
Cross-Functional Collaboration:
o Work closely with technical teams, finance, procurement, and executive leadership to align priorities and drive results.
o Act as the primary liaison between cloud service owners and financial stakeholders.
o Identify opportunities for cost reduction and efficiency improvements.
POC Leadership & Tool Evaluation:
o Lead Proof of Concept (POC) initiatives for new FinOps tools and technologies.
o Define KPIs for POCs and evaluate candidates for enterprise-wide adoption.
Process & ROI Communication:
o Clearly articulate the value and ROI of FinOps initiatives to stakeholders.
o Promote FinOps best practices across the organization.

abra is Hiring: System Amalyst Location: Ra’anana / Haifa Work Schedule: Full-time, Sunday through Thursday About the Role: abra is looking for a SharePoint Implementer to join our team and take part in a variety of internal projects. As part of the role, you will:
* Assist in building and customizing internal sites for employees
* Provide training and support to users
* Work on SharePoint-based projects
* Take part in test development and implementation Join a dynamic team and help us improve collaboration and productivity across the organization!

In one sentence
The company Data and AI platform is looking for a Software/ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on the Databricks platform, where Spark is at the heart of our implementation.
You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.
Youll need excellent technical skills along with strong communication and ownership.
We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.
What will your job look like?
Develop production-grade ML/LLM services and pipelines on Databricks, using Spark.
Design, implement, and maintain reusable preprocessing and feature engineering components.
Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
Build ML pipelines and model deployments using Jenkins and Databricks Asset Bundles.
Work closely with data scientists and engineers to translate research into scalable, maintainable production code.
Own features from design through production, including writing tests, documenting, and providing operational support.
Come to the office 3 times a week.

In one sentence
We are looking for a hands-on Product Manager who can identify internal teams needs, translate them into clear requirements, and work closely with developers building AI Agents and automation flows. The role focuses on creating efficient, scalable solutions that improve productivity across the organization.
What will your job look like?
You will.
Work directly with internal teams to map workflows, understand pain points, and identify opportunities for automation and AI-driven efficiency.
Translate team needs into structured product requirements, user flows, and clear specifications for AI Agents, integrations, and automation tools.
Collaborate with developers specializing in AI Agents / LLMs / automation frameworks to build tailored solutions , and when relevant, propose ready-made solutions based on your knowledge of existing tools and platforms.
Lead fast ideation, prototyping, and MVP cycles demonstrating measurable impact (time saved, error reduction, operational efficiency).
Own the lifecycle of internal AI solutions: from discovery through delivery, rollout, enablement, and continuous improvement.
Train internal teams on the solutions you build, including onboarding, usage guidelines, documentation, and adoption support.
Monitor usage, collect feedback, and drive iterative improvements to ensure long-term effectiveness and scale.
Work cross-functionally with Operations, Engineering, IT, HR, Finance and additional domains that benefit from AI-enabled process optimization.
Showcase efficiency gains through clear KPIs, pre/post analysis, and internal success stories.