דרושים » תוכנה » Director of Engineering

As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of our most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.

We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.

What You'll Do
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.

Lead & Grow Engineering Teams: Lead, mentor, and grow R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.

Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.

Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.

Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.

Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.

Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

We are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.

In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.

Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.


Responsibilities

Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.

Drive architectural and technical design decisions for high-scale, performance-critical systems.

Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.

Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.

Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.

Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.

Promote engineering best practices, code quality, design reviews, and technical innovation across the team.

Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

We're looking for a Machine Learning Team Lead to own real parts of it.
What you'll actually do?
Lead, mentor, and grow a multidisciplinary team composed of Data Scientists, Data Analysts, and DLP Analysts.
Define and lead the team's technical vision and execution strategy, driving technical excellence and ensuring alignment with business priorities and product objectives.
Oversee the design, development, validation, and deployment of advanced machine learning solutions for customer-facing products.
Hands-on ownership of current AI services.
Establish and enforce best practices for model development, experimentation, evaluation, documentation, and code quality.
Collaborate closely with Product Managers, Data Engineers, Software Engineers, and domain experts to translate business challenges into scalable ML solutions.
Drive execution and delivery, balancing innovation, technical quality, and time-to-market considerations.
Promote operational excellence by improving the reliability, scalability, and maintainability of production machine learning systems.
Establish scalable engineering processes, workflows, and best practices.
Lead the team transformation from an early-stage organisation into a mature, production-grade AI engineering team.

We're looking for an experienced and passionate ML Engineering Team Lead to lead our ML Engineering team and shape the next generation of our AI infrastructure. This is a hands-on leadership role where you'll combine technical leadership, software architecture, and people management to build scalable, production-ready AI systems running on edge devices.
About The Role:
Lead, mentor, recruit, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own the team's technical roadmap, architecture, execution, and project prioritization, aligning delivery with business goals.
Design, build, and maintain scalable software and ML infrastructure across cloud and edge environments.
Partner with AI Researchers to productionize Computer Vision and Deep Learning models into reliable, high-performance systems.
Design and optimize inference pipelines with a focus on scalability, latency, and reliability.
Drive engineering excellence through architecture reviews, code reviews, development best practices, and modern AI-assisted engineering workflows.

Were looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.

The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.

Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.

Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.

What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.

‍Were looking for a hands-on Engineering lead to lead our companys growing engineering team. This role combines technical leadership with people management: youll lead a team of engineers both inhouse and offshore, and work closely with the CTO and VP Product leading the company through a transformational phase of significant growth, to deliver a reliable, scalable, and cost-efficient companys Customer Intelligence & Decisioning Platform.
This role is a leadership hands on role: youll get your hands dirty writing code, review and design, and at the same time act as a leader who set standards, processes, coach engineers, and ensure smooth collaboration across the entire team.
Key Responsibilities
Team Leadership & Growth
Manage and mentor the company engineering team.
Create a culture of ownership, collaboration, and accountability. Maintain high standards of work methodologies and delivery.
Establish effective communication and delivery rhythms across our cross functional teams
Hands-On Technical Leadership
Lead & contribute to design, coding, and reviews of the platform, backend , data and MLE functions.
Guide architectural decisions, ensuring scalability, reliability, and cost efficiency, while supporting significant customer growth.
Ensure high-quality engineering standards, CI/CD practices, and observability.
Own Production End-to-End: Delivery & Execution
Own engineering delivery timelines and release cadence.
Coordinate between core and offshore engineers to ensure a unified execution pipeline.
Balance short-term feature delivery with long-term technical health.
Define SLO, build observability, lead on-call, incident response, and postmortems
Collaboration
Work closely with the CTO and VP Product on architecture, integrations, and security.
Work with the CEO to ensure that delivery is aligned with the companys mid-long term vision.
Partner with Product on roadmap prioritization and execution.
Ensure smooth onboarding and ongoing collaboration with customer-facing teams.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.