דרושים » תוכנה » Senior JAVA Automation Engineer עבור סטרטאפ באזור השרון

Were not looking for someone to Were looking for someone to build it, scale it, and make it unstoppable. our company is looking for a hands-on Automation Development Lead to own and drive automation domain across our engineering organization. This is a high-impact role for a technical powerhouse who knows how to architect automation frameworks, integrate them deeply into CI/CD pipelines, and turn quality into a competitive advantage. You will build infrastructure, define standards, lead engineers directly as well as indirectly, and push automation into every stage of development. If you think Jenkins is more than a tool - we want to talk with you.
What you will do
Define and drive the end-to-end automation strategy, architecture, and roadmap (backend + UI).
Build, scale, and continuously evolve robust automation frameworks and infrastructure.
Embed automation deeply into CI/CD pipelines in close partnership with DevOps.
Act as the technical authority for automation - setting standards, reviewing code, and raising the engineering bar.
Lead and mentor a team of automation engineers, fostering ownership, growth, and execution excellence.
Stay hands-on, writing production-level automation code while guiding design decisions.
Drive execution through clear priorities, measurable goals, and accountability.
Drive organizational automation transformation - across tools, processes, and engineering culture.
Act as a key stakeholder in cross-functional planning and delivery.
Take full accountability for automation quality, delivery, and long-term scalability.

We are looking for a Senior Backend Tech Lead to join our infrastructure team. In this role, you will design, develop, and maintain backend systems to drive product scalability and performance. You will work with a range of technologies, including Python, Java, SQL, REST APIs, and cloud services, with deployments in both cloud and on-prem environments. You will collaborate closely with engineers, product managers, and other stakeholders to build new features and optimize existing systems to meet business demands.
Responsibilities:
Own and maintain core backend services that support millions of daily operations.
Collaborate with cross-functional teams to deliver high-quality features using Agile methodologies.
Ensure backend infrastructure is scalable and efficient, leveraging cloud services for server deployment.
Optimize system performance for both cloud and on-prem deployments.

we are looking for a Lead Software Engineer.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

we are looking for a Software Engineer Lead.
As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.