לוח משרות דרושים ניהול תוכנה משרה מלאה, לחיפוש זה נמצאו 105 משרות

You will play a key role in ensuring our customers successfully deploy, integrate, and operate our platform. By leading complex technical integrations and solving challenging infrastructure problems, you'll directly impact customer success, platform reliability, and the delivery of critical healthcare data solutions.

What You'll Do
Own end-to-end integrations for large enterprise customers.
Work with modern cloud technologies across AWS, Azure, and GCP.
Solve unique technical challenges involving infrastructure, security, networking, and automation.
Collaborate closely with Engineering, Product, Customer Success, and customer technical teams.
Influence architecture, best practices, and the future direction of our deployment and integration processes.
Lead customer onboarding and technical integration projects from planning through production deployment.
Design, deploy, and troubleshoot cloud infrastructure using Infrastructure as Code (Terraform, Ansible, CloudFormation).
Implement and support Kubernetes, compute, networking, storage, and security configurations across multiple cloud providers.
Automate deployment, upgrade, and operational workflows to improve reliability and efficiency.
Investigate and resolve complex production issues, performing root cause analysis and driving permanent fixes.
Partner with customers and internal engineering teams to deliver scalable, secure, and highly available solutions.
Develop technical documentation, implementation guides, and operational runbooks.
Mentor engineers and contribute to improving engineering standards, tooling, and operational excellence.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.
With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Data Engineering Team Leader In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
?A day in the life and how you’ll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Req ID: 20153

As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.

Drive continuous improvement through model retraining, performance monitoring, and optimization.

Develop robust ML and AI solutions that meet business objectives while considering production constraints.

We are looking for a Squad Leader to join our engineering leadership team, reporting directly to the VP Engineering.

You will own & manage a multi-disciplinary squad spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your squad.

A Day in the Life and How Youll Make an Impact:

Drive your squads lifecycle-from planning and prioritization to risk mitigation-ensuring commitments are met and quality remains non-negotiable.
Direct-line manage all engineers and an embedded Product Owner. Conduct meaningful 1:1s, support career growth, and foster a high-accountability team culture.
Connect engineering decisions directly to commercial goals. Always anchor what we build to why it matters to the customer.
Partner with Principal Architects and senior engineers to offer technical guidance, evaluate trade-offs, and spot architectural risks early.
Actively participate in high-level engineering leadership discussions regarding product roadmaps, global resourcing, and organizational strategy.

We are looking for a Senior Technical Program Manager to join our engineering organization, reporting directly to the VP Engineering. You will own a portfolio of cross-functional programs and projects spanning AI, Platform, Data & Product. You will work closely with engineering managers, guild owners, and architects to keep multiple concurrent efforts moving, tracked, and de-risked.

A day in the life and how youll make an impact:

Own end-to-end delivery across a portfolio of initiatives, ranging from large cross-team programs to focused technical projects
Own quarterly planning across your portfolio, translating priorities into a clear plan for the quarter
Set and drive planning, milestones, and risk tracking for each initiative, tailored to its size and complexity
Own budget planning and tracking for the programs and projects under you
Surface and resolve cross-team dependencies before they become blockers
Partner with engineering managers, guild owners, and business stakeholders to align execution with priorities
Own Jira structure, sprint hygiene, and estimation practices across the initiatives you run
Build the reporting and tracking that gives leadership real visibility into progress and risk
Translate execution status into clear, honest updates for engineering leadership
Flag risk early, with recommendations, not just status

We are seeking an experienced SW Development Manager to lead the design, development, delivery, and operations of large-scale embedded SW solutions. This role is ideal for a technical leader who remains hands-on - someone who can dive into code, debug complex system-level issues, and make informed architectural decisions from direct experience, not just oversight. You will oversee the full development lifecycle, bridge technical and business teams, and ensure alignment with product roadmaps and customer requirements.


Key job responsibilities

- Define and drive the technical vision for embedded systems projects, including architecture, performance targets, and technology adoption - grounded in hands-on understanding of the codebase and system constraints.

- Actively contribute to technical design reviews, code reviews, and prototyping efforts, maintaining credibility as a technical peer to your engineers.

- Guide cross-functional teams (hardware, firmware, software, QA) to deliver robust, scalable embedded solutions, with the ability to unblock teams by personally engaging in deep technical problem-solving when needed.

- Plan and prioritize project schedules and resource allocation to meet deadlines, customer requirements, and ensure high-quality standards.

- Mentor and develop SW engineers, fostering a culture of continuous improvement and knowledge sharing - leading by example through your own technical contributions.

We are looking for an Engineering Director to join our engineering leadership team, reporting directly to the VP of Engineering.

In this leadership role, you will own & manage a multi-disciplinary Engineering group spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your team.

Heres what youll be doing:

Own your Engineering group delivery end-to-end - planning, prioritization, dependencies, risks, and outcomes.
Drive accountability: commitments are kept, blockers surfaced early, quality is non-negotiable.
Directly manage all engineers and the Product Owner in your squad, supported by functional guilds.
Run 1:1s, give meaningful feedback, support growth, and build a high-accountability team culture.
Provide technical guidance in close partnership with Principal Architects and senior engineers.
Stay engaged enough to earn trust, spot risk early, and make informed trade-off calls.
Connect your squads work to UVeyes business outcomes. Always ask why it matters before deciding what to build.
Participate actively in leadership discussions on roadmap, resourcing, and strategy.

We are looking for a strong Development Manager to lead a team of 6-8 developers working on mission-critical operational systems. we are 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 and manage 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 a Software Development Manager to help us define and build the future of computing. The Elastic Block Store (EBS) service delivers high performance virtualized storage "in the cloud" for EC2. Durable and performant storage is a key building block for any application and as a member of the EBS team you'll work alongside exceptional engineers and leaders to develop and operate one of the largest distributed storage systems in the world.


Key job responsibilities
You will collaborate with and learn from the industry's best minds to solve interesting and challenging problems at an enormous scale on a daily basis. This collaboration extends beyond just the team in EBS. You will have the opportunity to work with many other teams in us to build a secure, performant, and reliable system.

We're hiring a Mobile Team Lead to own the AppHarbr SDK, our mobile division that gives publishers real-time control over ad quality across iOS and Android.

We are looking for an experienced Mobile Team Lead to take full ownership of the AppHarbr SDK across iOS and Android. This is a hands-on technical leadership role, you will spend the majority of your time making architectural decisions, setting technical direction, and driving cross-functional execution across a team that includes offshore contributors, while writing and reviewing code. This is a team that moves with the tools available to it, AI-assisted development is part of how we work, not a future aspiration.

The SDK runs inside production apps across millions of devices, operating in real time alongside a continuously evolving ecosystem of third-party mediation layers and ad networks. Reliability, backward compatibility, and runtime performance are baseline expectations, not aspirational goals.

Responsibilities

Technical
Architect and develop high-performance, multi-threaded SDK code across iOS and Android.
Drive platform technical decisions, performance optimizations, and deep research into OS internals and third-party SDK behavior.
Own SDK stability across the full compatibility matrix, OS versions, devices, and mediation integrations.
Lead complex debugging efforts, reverse-engineer third-party integrations, and resolve integration issues for internal and external stakeholders.
Define and enforce best practices in testing, code quality, and CI/CD workflows.
Handle billions of impressions across millions of devices every day, maintaining a robust and scalable system at significant traffic scale.
Leverage AI-assisted development tools to accelerate code generation, debugging, and SDK analysis, and set the standard for how the team adopts them effectively.

Leadership
Lead, mentor, and grow a cross-platform mobile team including offshore contributors.
Own the AppHarbr domain end-to-end, translate product and business goals into technical execution.
Act as the primary technical point of contact across Product, Backend, QA, Customer Success, and external partners.
Conduct code reviews and provide ongoing technical guidance to raise the bar across the team.

Key Responsibilities:
Provide strong technical leadership and architectural direction for our frontend infrastructure.
Lead, mentor, and grow a team of frontend engineers, fostering a culture of ownership, collaboration, and excellence.
Define and execute the frontend infrastructure roadmap in alignment with company objectives.
Evaluate and implement modern frontend technologies and best practices to ensure scalability, performance, and maintainability.
Collaborate cross-functionally with product, backend, design, and other stakeholders to drive cohesive solutions.

We are seeking a skilled Team Lead - R&D to join its expanding R&D department.

The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.

Responsibilities:
Lead and mentor a team of R&D software engineers, fostering innovation and technical excellence.
Develop and maintain high-performance applications in Python and other backend languages.
Take ownership of key development projects, tools, and processes, ensuring efficiency and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work closely with the R&D management team to align development efforts with company goals.
Work with cloud-based and on-prem infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

we are seeking an experienced Director of Engineering to lead and scale our software, QA, DevOps, and IT groups in a leading AI startup. This role combines strong people leadership, ownership of execution, and deep technical understanding of production-grade systems.
You will manage engineering managers, drive delivery excellence, and ensure alignment between R&D strategy and business priorities.

Responsibilities:

Lead two engineering groups: IT & DevOps and Software & QA
Manage and develop engineering managers and team leads
Own execution, delivery, quality, and operational excellence across all engineering domains
Drive scalable engineering processes, methodologies, and best practices
Partner closely with Product, Algorithms, Data, Security, and Business stakeholders
Ensure production stability, CI/CD excellence, system reliability, and security
Lead capacity planning, hiring, onboarding, and performance management
Translate high-level strategy into execution plans and measurable outcomes
Foster a culture of ownership, accountability, and continuous improvement
Support architectural and design discussions when needed (hands-on leadership mindset)

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.

Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.

Responsibilities:

Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data