דרושים » תוכנה » Staff Engineer

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready.
This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.
Responsibilities:
1. Architectural Leadership
Define, communicate, and evolve the platforms architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.
2. Innovation & Emerging Technology
Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec)
3. AI Tooling Evangelism
Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.
4. Technical Governance & Best Practices
Overall ownership of the system scalability, COGS, and stability of the Navina product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.
5. Cross-functional Collaboration
Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.

Required Director R&D, Shopper Intelligence
Tel Aviv, Israel
We empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

we are seeking a highly motivated and experienced Software Team Lead to oversee a multidisciplinary engineering squad responsible for the development and maintenance of key company productsincluding the Command Platform (SaaS) and Data Sharing Services (DaaS). This role includes leadership of Frontend, Backend, QA, and Automation engineers and requires collaboration with cross-functional stakeholders such as Product Managers, UI/UX designers, Data Engineers, Data Scientists, and DevOps professionals.

This is a hands-on position involving direct technical contributions, architectural oversight, and responsibility for quality, performance, and timely delivery. The ideal candidate demonstrates both technical depth and proven leadership capabilities.

Key Responsibilities

Lead a cross-functional engineering squad working on mission-critical SaaS and DaaS products.
Own the full software development lifecyclefrom planning and architecture to deployment and maintenance.
Drive initiatives to improve scalability, performance, reliability, and long-term maintainability.
Work closely with Product, UI/UX, DevOps, Data Engineering, and Data Science to ensure alignment and delivery.
Mentor and guide engineers, fostering a culture of growth, accountability, and continuous improvement.
Champion software engineering best practices and quality assurance methodologies.
Integrate AI-powered solutions into platform capabilities where appropriate.
Ensure timely delivery of product features in alignment with company goals and stakeholder expectations.

We are looking for a hands-on QA Architect to join a newly formed group within our Engineering department. This role is ideal for someone who is passionate about software quality and test architecture, and eager to drive strategic and tactical improvements across all of products.

As a QA Architect, you will provide technical leadership and define best practices across our engineering teams, without managing people directly (at least at this stage). You will design, implement, and guide testing frameworks and methodologies, ensuring high-quality releases and efficient CI/CD processes. This is a deeply technical role that involves coding, tooling, and collaboration with developers to build reliable and scalable test infrastructure.Responsibilities

Job Description:

Develop and maintain QA strategies across multiple products and teams.
Define testing standards, tools, and methodologies, including automation, CI/CD integration, and release validation.
Provide technical guidance to developers on how to write effective tests and improve test coverage.
Introduce new tools, frameworks, or processes to elevate testing practices across the organization.
Work closely with DevOps to support testing pipelines and release readiness in both cloud and on-prem environments.
Identify areas of risk and proactively prioritize where deeper testing or automation is needed.
Remain hands-on, contributing code and participating in test design and execution.
Help the company shift-left by empowering developers to own more of the testing process while maintaining architectural oversight.
Define strategy and guidance for load and performance testing.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.

Responsibilities

Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

We're seeking an innovative Software Architect to design and implement robust, scalable solutions that power our AI-driven platform. You'll play a crucial role in shaping the technical foundation of Apollo and its ecosystem.

**What You'll Do:**
- Lead the architectural design and implementation of infrastructure and tools for AI research and deployment within the Google Cloud Platform (GCP) ecosystem.
- Oversee the implementation and management of infrastructure stacks for various company applications.
- Design and implement automation processes to enhance operational efficiency across our systems.
- Manage integrations between company systems and third-party services.
- Administer and optimize third-party applications.
- Oversee the administration of both relational and non-relational databases.
- Monitor all infrastructure resources and applications to ensure 24/7 availability, optimal performance, and robust security.
- Collaborate with cross-functional teams to align architectural decisions with business goals and AI capabilities.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our companys B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our companys products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our internal platform for Engineering, and our cloud infrastructure capabilities for SaaS customers. As a Director of Engineering, you will lead teams working on two major areas: a developer-centric platform that provides the tools, automation, and infrastructure needed to seamlessly develop, deploy, and operate services in production, and cloud infrastructure capabilities for SaaS customers, including customer-facing infrastructure and management features that enhance integration, security, and reliability, ensuring a robust experience for our SaaS customers.
As a Director of Engineering, you will...
Define and drive the vision, strategy, and roadmap for the internal platform for Engineering, ensuring alignment with SaaS business goals.
Build, lead, and mentor multiple cross-functional teams of developers and DevOps to deliver a scalable and reliable platform.
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization.
Architect and deliver a self-service, developer-centric platform that simplifies development, SaaS management and production operations.
Provide observability solutions to improve system reliability and visibility of our SaaS products and operations.
Partner with engineering leaders, product teams, and business stakeholders to ensure platform capabilities align with SaaS growth and reliability goals.
Stay ahead of industry trends in Platform Engineering, DevOps, and cloud-native technologies to continuously evolve the platform.

Were looking for a Tech Lead to join our dynamic Engineering team and take end-to-end ownership of the Candidate AI service at myInterview. In this role, you'll drive the daily operations, technical vision, and innovation of AI-powered applications that redefine how candidates engage with our platform.


As the bridge between Engineering and Data Science, youll lead architectural decisions, champion best practices, and ensure our AI services are secure, scalable, and cutting-edge.

What You'll Do:

AI & Technical Leadership:

Lead the design and implementation of intelligent, LLM-powered agents integrated into user-facing applications.

Define architecture and best practices for model serving, memory/persistence, and orchestration of multi-turn agent interactions.

Collaborate closely with Data Science and Engineering teams to align priorities and deliver innovative AI solutions.

Continuously evaluate emerging AI/LLM capabilities (e.g., function calling, RAG, tool usage) and assess real-world applicability.

Drive performance, reliability, and secure development through code reviews, experimentation, and CI/CD process oversight.


Strategic Planning & Operations:

Partner with Engineering Managers (EMs) and Product Owners (POs) to contribute to technical roadmap planning and risk mitigation.

Monitor team spending and evaluate the financial impact of technical decisions.

Coordinate operational tasks like planned maintenance and incident management in alignment with company policies.


Architecture & Quality Management:

Own the technical vision of your services portfolio, ensuring alignment with our architecture standards and evolving business needs.

Lead incident response efforts and assess the impact of proposed changes within your domain.

Ensure infrastructure and deployments align with AWS best practices and our policies.


People & Resource Leadership:

Conduct regular 1:1s, provide mentorship, and ensure your team has the knowledge, tools, and resources to succeed.

Support onboarding of new team members and foster a high-performance culture of collaboration and innovation.


Compliance, Security & Documentation:

Develop software in line with our development and hosting standards.

Track and report deviations, technical debt, and security issues as required.

Maintain up-to-date documentation covering domain design, architecture, and operating procedures.