דרושים » תוכנה » Experienced Software Engineer - Data Systems & Tools

we power economies and empower people in 200+ countries and territories worldwide. together with our customers, were helping build a sustainable economy where everyone can prosper. we support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
position overview
we are seeking an experienced engineering manager to lead a backend and data -oriented product engineering team.
this role is responsible for building and developing a strong engineering team while driving the delivery of customer-facing and platform capabilities from product definition through design, implementation, deployment, and production ownership.
the ideal candidate combines strong software engineering and distributed-systems expertise with proven people leadership, product thinking, and the ability to lead complex initiatives end-to-end in close partnership with product.
key responsibilities
lead, mentor, and develop a team of engineers, fostering ownership, collaboration, and continuous improvement.
partner with product to define priorities, shape solutions, and execute the teams product and technical roadmap.
drive end-to-end delivery of product capabilities, from requirements and technical design through implementation, deployment, and production ownership.
lead architecture and technical design for scalable, reliable backend and data -intensive systems.
balance product delivery with technical quality, maintainability, reliability, and technical debt.
drive strong engineering practices including code quality, testing, observability, ci/cd, and production readiness.
manage prioritization, capacity, execution risks, and predictable delivery of strategic initiatives.
collaborate with backend, data engineering, analytics, DevOps, and other product teams on cross-team initiatives.
own recruitment, onboarding, performance management, feedback, and career development.
ensure the team learns from production incidents and continuously improves system reliability.
corporate security responsibility
all activities involving access to company assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, the company is responsible for information security and must:
abide by the companys security policies and practices;
ensure the confidentiality and integrity of the information being accessed;
report any suspected information security violation or breach, and
complete all periodic mandatory se

about the company:
the company is an ai-driven platform company focused on improving drug discovery and development by decoding the human immune system.
we combine large-scale single cell immune data, advanced Machine Learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. were building this platform thoughtfully and collaboratively, bringing together expertise across biology, ai, engineering, and business.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
we are looking for an experienced data infrastructure team lead to lead our data infrastructure team. in this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves Big Data and analytics infrastructure. you will be responsible for team delivery, combining technical depth, agile leadership, and an ai-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.
location: ramat gan (bursa area), israel - hybrid model
what will you do?
lead, manage, and develop a data infrastructure team of approximately 5-7 people.
take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
lead agile ways of working, including scrum-based delivery practices.
guide the design, productionization, and ongoing improvement of Big Data and analytics infrastructure.
partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
help the team adopt ai-first engineering practices, including automation and ai-assisted development workflows.
drive improvements in team processes, technical quality, delivery predictability, and collaboration.
support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
create an environment where team members can grow, contribute, and improve together.