דרושים Application Developer Devops

As a Staff DevOps Engineer, you will own production infrastructure across our cloud environments and work closely with platform, dev-infra and automation tests teams to drive operational excellence. You need to be ready to lead cross-team initiatives, proactively identify areas for optimization, and define scope both for yourself and the team.

You will be responsible for:

• Keeping production stable and working, having a dedicated team as a first line of support
• Improvement of existing CI/CD processes based on the feedback from product and infra teams
• Improving the organization's FinOps posture

Requirements:

• 7+ years of experience as a DevOps Engineer
• Experience with FinOps best practices, including identifying excessive cloud spending across different categories
• Experience leading complex infrastructure projects (e.g. migration from one cloud provider to another)
• Experience with AWS: RDS, Networking, EKS, EC2, Fargate
• Experience implementing and designing disaster recovery strategies
• Experience with IaaC-based infrastructure
• Proficiency in Python/Go, as most of the infrastructure components are written in these languages

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .

Employee Type:

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

This role reports to Devops Director, Cortex product

You will be expected to be versed in the technical domains and be able to engage with an experienced cross-disciplinary staff . We are looking for someone with strong critical thinking and analytical skills, who is a self-starter, a great communicator and has demonstrated ability to build consensus at all levels, and is passionate about driving change in a dynamic fast-paced environment.

Your Impact

• Work closely with DevOps, SRE and platform engineering teams to orchestrate end-to-end delivery of complex infrastructure and product capabilities across multiple services and environments.

• Serve as the primary integration point between DevOps and development teams, ensuring smooth alignment on architecture, deployment models, CI/CD processes, reliability targets, and production readiness.

• Partner with product management to translate high-level requirements into technical execution plans, define realistic timelines, and track cross-team commitments.

• Maintain a system-level understanding of all moving parts: production change process, infra upgrades, migrations, capacity plans and rollout constraints.

• Identify and flag technical dependencies early, particularly those affecting infrastructure, deployment flows, monitoring, and scaling requirements.

• Drive and define change-management processes: release planning, rollout strategies, maintenance windows, gating criteria, risk assessments, observability readiness, and post-launch validations.

• Coordinate sprint plans, milestones, and execution cycles across DevOps and development organizations, ensuring teams deliver aligned increments that fit into broader program roadmaps.

• Provide regular communication to senior engineering leadership on execution status, blockers, architectural risks, and operational concerns.

• Work hand-in-hand with technical leads/architects to understand deep technical topics such as Kubernetes upgrades, multi-region deployments, data-store migrations, networking changes, or infra cost optimizations.

Your Experience

• 8+ years of engineering or technical program management experience, including 4+ years managing cross-functional infra/DevOps delivery programs at scale.
  

• Deep, hands-on understanding of SaaS DevOps domains: release orchestration, multi-region deployments, environment promotion flows, maintenance windows, incident lifecycle, change-management, and production readiness standards.
  

• Strong familiarity with Agile methodologies, sprint/iteration planning, and running large cross-team delivery cycles across infra and development organizations.
  

• Demonstrated ability to work with engineering teams to translate product and architectural requirements into detailed technical execution plans, functional specifications, test/validation criteria, and deployment strategies.
  

• Comfortable presenting program status, architecture risks, and operational considerations to SVP/VP-level leaders; able to convert complex technical execution into clear, actionable communication.

• Bachelor’s/Master’s degree in a technical discipline (Computer Science, Software Engineering, Information Systems)

• Hands-on experience with JIRA and Confluence.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

All your information will be kept confidential according to EEO guidelines.

Algorithm research

Working on highly innovative technology in the semiconductor industry.

It involves, deep mathematical background, signal processing and estimation, model analysis and multidisciplinary knowledge from physics and algorithms.

Our Group:

Patterning Division

Whatyou'll be doing:

• Algo Research and implementation in the fields of Computer vision, Machine learning and Deconvolution of 3D structures
• Develop statistical models including error bounds

What you should have?

• Experience in Computer Vision: Registration and segmentation
• Experience in signal processing and estimation theory: Statistical modeling, Maximum likelihood, etc.
• Experience in Machine Learning: Error bounds, algorithms and optimizations
• Experience in SEM imaging: an advantage

What’s in it for you?

• Work with the best : Join a team of algorithm masters and researchers who are passionate about solving complex computer vision and deep learning challenges.
• Innovate at scale : Contribute to the development of cutting-edge detection algorithms that power the next generation of optical wafer inspection tools.
• End-to-end impact : Be involved in the full lifecycle—from concept and feasibility to implementation and integration—of algorithms that directly influence product performance.
• Shape the future : Your work will help enable the production of advanced microchips, driving innovation across industries from AI to consumer electronics.

What you'll be doing:

• Understanding classical, computer vision and machine learning / deep learning algorithms for image analysis, image registration, pattern recognition, anomaly detection andclassification.
• Prototyping algorithms approach solving complex problems and drive integration of new algo solutions to product.
• Develop and implement algorithms, support the software team in integration and evaluation.
• Algorithm optimization to reduce computational cost and influence hardware requirements.

What should you have?

• Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning
• 10+ years of experience
• Strong background in computer vision, image processing, anomaly detection - must.
• DL experience - advantage
• Expertise in C/C++, Python, and working experience with Pytorch or similar framework
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• Experience working in the Semiconductor industry – an advantage.