דרושים » תוכנה » Software Team Leader (Defense)

We are looking for a strong Software Team Leader/Tech Lead, to lead a team of 6-8 developers working on mission-critical operational systems. mPrest is a leading technology company developing advanced mission-critical systems for defense, HLS, and industrial sectors. This is a unique opportunity to take ownership of core operational systems, lead a talented development team, and drive modernization through web technologies and AI-driven development practices.

Responsibilities:

* Lead a team of 6-8 software developers and QA engineers.
* Own development activities end-to-end, including delivery, quality, technical execution, and production support.
* Design, develop, and maintain software solutions using C#/.NET and web/WPF technologies.
* Provide technical leadership, architecture input, code reviews, and troubleshooting support.
* Work closely with customers, product teams, system engineers, QA, and other stakeholders.
* Build and promote an AI-driven development pipeline, including AI-assisted coding, testing, documentation, and code review.
* Improve development processes, engineering standards, automation, and team efficiency.

We are looking for an Engineering Team Lead to join our Growth Team and lead the development of some of our most impactful customer-facing platforms, serving millions of users across Israel. The team owns strategic key business domains, including subscriptions, benefits, and loyalty programs, driving products that directly impact customer engagement and company growth.
Join us to lead large-scale engineering challenges, shape the future of our platform, and make a real impact on products used by millions of customers every day.
Responsibilities:
Lead, mentor, and grow a talented team of software engineers, both local and offshore, while building a strong, high-performing engineering culture.
Own the teams execution, delivery, and technical direction, turning ambitious growth opportunities into scalable, high-impact solutions.
Serve as a hands-on technical leader who actively contributes to the codebase, conducts code reviews, and leads development end-to-end - from architecture and design through production.
Play a key role in shaping our growth by developing new products, features, and technological capabilities that directly impact millions of users.
Lead cross-functional initiatives and work closely with Product, Data, and Business stakeholders to translate business goals into effective technical solutions.
Design, build, and operate scalable, highly available production systems that support rapid business growth and an evolving product ecosystem.
Foster a culture of ownership, collaboration, innovation, and engineering excellence.
Lead the teams AI development cycle, identifying opportunities to embed AI into products and engineering processes while promoting modern development practices.

Be a key part in the Palo Alto Networks EPM Agents group, owners of a combined solution for application control, privilege management, and threat detection. We are searching for a Team Manager to lead Cross-Platform Agents Infrastructure team in an agile-oriented environment. leading the journey to design, develop and innovate our EPM Agents.
The responsibilities will include:
Producing valuable and qualitative deliverables for our customers in a timely fashion
Providing technical authority to your team by demonstrating a hands-on leadership style
Hiring, mentoring and driving the professional growth of the team members
Overseeing the overall development, code quality, and production of the team
Permanent strive to keep the code up-to-date and at the highest quality, innovation and security levels
Working hand-in-hand with architects, product owners, and other teams to build robust solutions.

We are looking for a Full Stack Team Lead to build and lead the C2 development team from the ground up. This role combines technical leadership and people management, with strong ownership over architecture, execution, and alignment with the broader system (core backend and edge platforms).

Responsibilities
Responsibilities:

Team Leadership

Build, lead, and mentor a team of frontend/full-stack developers
Define team standards, development processes, and best practices
Drive execution, delivery planning, and technical quality
Support hiring, onboarding, and growth of team members
Technical Leadership

Lead the design of the architecture (including microfrontend approach)
Guide implementation of a real-time, high-performance C2 application
Ensure scalability, maintainability, and modular system design
Make key technology decisions and define development guidelines
Review designs and code, ensuring alignment with architecture and standards
Cross-Team Collaboration

Work closely with Core (backend) and Edge (on-device) teams
Translate product roadmap and system constraints into technical direction
Ensure alignment between frontend, backend, and edge capabilities
Drive integration strategies across:
Real-time communication layers
Video streaming pipelines
Telemetry and control systems
System Ownership

Own the end-to-end frontend domain within a distributed system
Balance product requirements with technical constraints (real-time, air-gapped, edge)
Identify risks, trade-offs, and long-term architectural considerations
Lead debugging and resolution of complex cross-system issues

We are a fast-moving startup developing breakthrough digital printing technology for optical lens coatings. We are seeking a highly motivated and experienced Director of Automation to lead our multidisciplinary Automation group. This key leadership role holds disciplinary responsibility over the mechanics, software, control, and electrical engineering teams. The ideal candidate will thrive in a dynamic startup environment, driving the team forward with a strong sense of ownership, excellent interpersonal skills, and a collaborative mindset. You will oversee the development of cutting-edge technologies, manage the delivery of the software and control systems, and ensure successful technological implementations at customer sites.
Key Responsibilities:
* Multidisciplinary Leadership: Provide direct management and disciplinary leadership for the mechanics, software, control, and electrical engineering teams.
* Delivery Management: Lead and manage complex software and control plans from concept through development to successful deployment.
* Technology Development & Innovation: Drive the research, design, and development of new automation technologies to enhance our industrial equipment platforms.
* Customer Implementation & Support: Oversee the deployment and integration of new technologies, ensuring seamless implementation at customer site and providing ongoing top-tier support.
* Teamwork & Collaboration: Foster a culture of exceptional teamwork and cross-functional collaboration. Work closely with other R&D groups: System Engineering, Process, Materials, Integration & Testing as well as with Operations and Customer support.
* Execution & Ownership: Take full ownership of the Automation roadmap. Push projects forward proactively, overcome obstacles in a fast-paced environment, and lead the team to meet ambitious technological and business milestones.

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are seeking an experienced, people oriented Engineering Manager to lead our high-performing Identity Directory Service and User Management engineering team. In this role, you will balance technical leadership, people development, and operational execution to deliver secure, scalable, and resilient SaaS cloud services.
Working in close partnership with Product Management, Security Architects, and cross-functional engineering leaders, you will foster a culture of continuous delivery, technical excellence, and innovation. You will empower a team of talented engineers, remove roadblocks, and ensure our systems satisfy demanding global scale, high throughput, and Non-Functional Requirements (NFRs).
Your Impact
Execution & Product Delivery: Drive agile engineering practices to deliver high-quality, production-ready features on schedule while maintaining a strong balance between feature delivery, platform health, and technical debt.
Technical & Architectural Oversight: Partner with domain experts to guide architectural decisions, review designs, leveraging no-code, low-code, and AI-based solutions.
Operational Excellence: Maintain high standards for service reliability, production health, automated testing (CI/CD), and incident response.
People Leadership & Growth: Mentor, coach, and grow a high-performing team of software engineers; conduct 1:1s, support career development, and foster an inclusive, high-trust engineering culture.
Cross-Functional Collaboration: Align team goals with Product Managers, Security Architects, and global stakeholders to translate business strategy into clear technical execution plans.

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Senior Software Development Manager to lead the multidisciplinary engineering teams on a major engagement end to end - owning delivery, raising the technical bar, and being the person who steps in when things get hard. Youll manage tech leads and engineers across the stack, partner with product and client stakeholders (including large enterprise and banking environments), and keep a complex program on track. This is a role for a hands-on leader with a strong technical background who can move fluidly between technical, product, and project-level problems and resolve them professionally.
What youll do:
Own end-to-end delivery of a multidisciplinary program - plan, staff, and drive execution against scope, timeline, and quality.
Lead and grow the engineering organization: manage tech leads and engineers across frontend, backend, and QA; hire, mentor, and set standards.
Dive into technical, product, and project-level problems as needed and drive them to professional resolution - youre the escalation point, not a bystander.
Own the software development methodology and delivery cadence, including estimation, sprint planning, risk management, and reporting.
Partner directly with client stakeholders and executives to align on goals, manage expectations, and report progress with clarity and confidence.
Collaborate with architects and product on scope, HLD, and roadmap; translate business goals into a realistic delivery plan.
Track and report delivery health - velocity, quality, risk, and budget - and keep senior stakeholders informed.

Required AI IT Centre of Excellence Deploy Lead
Description
Join the company and help scale AI capabilities across the organization. As the AI IT Centre of Excellence (COE) Deploy Lead, you will own the methodologies, standards, and deployment practices that make AI implementation repeatable and reliable across Strauss.
You will act as the professional focal point for AI delivery - working alongside AI experts, data teams, software developers, architects, and business stakeholders to ensure consistent, high-quality delivery of AI initiatives while building organizational knowledge and capability.
Employment model: Israel-based, offshore/outsourcing engagement (not a buy-out).
Key Responsibilities:
Lead the deployment methodology, standards, and best practices of the AI IT Centre of Excellence (COE).
Guide and support development teams in the design, implementation, and adoption of AI solutions.
Serve as the professional focal point for AI delivery frameworks, tools, architectures, and implementation approaches across the organization.
Facilitate collaboration between AI experts, data teams, software development teams, architects, and technology stakeholders.
Provide training, coaching, and ongoing enablement for teams delivering AI initiatives.
Build and maintain AI playbooks, implementation guidelines, reference architectures, templates, and knowledge assets.
Drive consistency, quality, governance, and scalability across AI implementations.
Support project execution, manage dependencies, identify risks, and help teams overcome implementation challenges.
Lead AI knowledge-sharing activities, communities of practice, and professional development programs.

As an Engineering Manager for the Identity SSO team, you will lead a full-stack team to build and expand our unified Identity platform to an enterprise scale. Your role is crucial in executing our mission to connect our solution to any application, leveraging no-code, low-code, and AI-based solutions. In collaboration with security architects, product managers, and cross-functional teams, you will produce complex SaaS services that meet demanding scalability and security standards.
Your Impact:
Lead, mentor, and build a high-performing, full-stack engineering team, fostering a culture of creativity, execution, and high code quality.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Oversee the design and execution of scalable connectors for SaaS, on-premise, and custom applications.
Spearhead research into modern cybersecurity mechanisms and evaluate emerging tech stacks to solve complex platform bottlenecks.
Explore AI-driven approaches to improve testing efficiency and engineering productivity.