לוח משרות דרושים מהנדס תוכנה בכיר משרה מלאה, לחיפוש זה נמצאו 308 משרות

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where youll be solving complex challenges and driving innovation in how data operations are managed. Youll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future.

What You'll Do
Design & Develop: Design, develop, and maintain scalable and reliable code for DataOps platform, ensuring high performance, security, and scalability.

Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We're looking for a Senior Engineering Manager to lead our Data Platform group - owning the pipelines, storage, and streaming infrastructure, deployed on AWS, that power data-driven capabilities across the company, including an emerging AI agent for forensic data investigation.

Key Responsibilities:

Own end-to-end delivery for the group - roadmap, execution, and Agile/SAFe process.

Hire, mentor, and grow a team of engineers.

Guide architecture and technical direction for scalable data pipelines (real-time and batch), streaming (Kafka), and processing frameworks (Spark/Flink).

Oversee the platform's AWS infrastructure and cloud architecture decisions.

Ensure sound data storage design across relational, NoSQL, and search systems.

Drive improvements in reliability, observability, and cost efficiency.

Guide the team's development of an AI agent for forensic use cases, including MCP tool design for safe, effective data access.

Represent the group across a matrixed org and partner with product teams.

We're looking for a Platform Tech Lead to join our Platform Engineering team.
In this role, you'll help shape the platform that powers all of our company's R&D teams. You'll lead technical decisions, design scalable cloud infrastructure, build high-performance services, and drive engineering excellence across the organization. This is a highly hands-on role for someone who enjoys solving complex technical challenges while influencing architecture, scalability, and developer experience.
What You'll Do
Design, build, and maintain scalable backend services using C# and .NET Core.
Lead the design and evolution of our cloud-native platform and microservices architecture.
Build infrastructure and developer platforms that enable engineering teams to move faster.
Work with Kubernetes, Docker, and cloud platforms (Azure, AWS, or GCP).
Drive architectural decisions with a strong focus on scalability, reliability, security, and performance.
Collaborate closely with engineering teams to improve developer experience and platform capabilities.
Mentor engineers and serve as a technical leader across multiple teams.

We are looking for a Python Software Engineer with 4-6 years of experience to join our ATE Software team, which is critical to the company. You will be developing software for advanced LiDAR calibration, characterization, and mass-production systems. This is a hands-on role working closely with other software, hardware, optics, mechanics, and system engineers.

What youll do:

Design, develop, and maintain complex software for LiDAR calibration and production-line automation
Develop algorithms, automation solutions, user interfaces, and software infrastructure for complex production systems
Analyze failures, improve processes, and continuously enhance code quality and development practices
Contribute to software architecture, system design, testing, and documentation
Collaborate closely with multidisciplinary teams to deliver reliable, mission-critical systems

As a Senior AI Infrastructure Engineer at our company, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our companys AI innovation.
Youll Own:
Developing and evolving our companys machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our companys AI organization.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

As a Senior Backend Engineer, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.

What you'll be doing:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework, particularly in cloud services, Linux, and containerized environments like Kubernetes and Docker.
Enhance our platform's core workflow engine, contributing to the development of enterprise-level applications and services that set us apart in the market.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Lead best practices in observability by implementing effective logging, metrics, and tracing systems.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

our company harnesses the power of AI to transform how revenue teams win. The company Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. Powered by the company Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, our company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.
At our company, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, we are the place to do the best work of your career.
At our company, were on a mission to help companies unlock reality and reach their full potential. As a Senior Site Reliability Engineer (SRE), youll play a key role in shaping our new Production Reliability domain. Youll drive reliability initiatives, lead cross-team projects, and ensure our SaaS platform stays robust, scalable, and efficient. This is a high-impact, hands-on role that demands technical expertise and a proactive approach.
You'll Own
Design, build, and maintain scalable, fault-tolerant systems.
Define and enforce reliability processes, SLOs, SLIs, and SLAs.
Lead complex incident responses, including on-call rotations and postmortems.
You'll Solve
Challenges related to observability, testing, production stability, and development productivity.
Reliability improvements through data-driven decisions.
Complex production incidents.
You'll Impact
Build automation, tooling, and self-service capabilities.
Collaborate with engineering, product, and support teams to embed reliability into everything we do.
Mentor engineers and promote operational excellence across the organization.

Were looking for a Director of AI Engineering to join our organization and lead multiple engineering teams building the next generation of AI-powered products at Coralogix.

This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.

Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.



What Youll Do

Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

Required Senior Developer (DevOps and Infrastructure)
We're revolutionizing how the world moves money with our unified global payments platform. Our team is at the forefront of ensuring the security and resilience of this critical infrastructure, and we're looking for a strong DevOps engineer to play a pivotal role in designing and implementing robust solutions across our infrastructure and applications.
If you have a passion for building secure-by-design systems, a deep understanding of both infrastructure and application principles, and the ability to translate complex requirements into actionable blueprints, we want to hear from you. You'll be instrumental in shaping our infra and security landscape, ensuring our platform remains a trusted and secure environment for our global users.
What You'll Be Doing:
You will work with Python and APIs, codifying infrastructure, and lead the architectural design and implementation of solutions for our cloud infrastructure, network, and applications.
Constantly push optimizations and best practices. Define and maintain security standards, frameworks, and best practices across the organization.
Collaborate closely with engineering, product, and operations teams to integrate security seamlessly into the development lifecycle and infrastructure deployments.
Evaluate and recommend security technologies and tools to enhance our security posture.
Develop security reference architectures and patterns to guide engineering teams in building secure solutions.
Participate in threat modeling and risk assessment activities to proactively identify and mitigate potential security threats.
Provide expert guidance and mentorship to engineering teams on security-related topics.
Stay current with the latest security trends, threats, and technologies, and translate them into actionable strategies for us.

We are looking for a passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI - Playblocks.
This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.
Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.
If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!
Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle - from requirements to production - while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

Required Senior Software Engineer, Cloud Storage, AI/ML
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Storage AI/ML Solutions team is dedicated to exploring, architecting and developing next-generation storage solutions for the AI/ML ecosystem. By delivering solutions and sharing performance insights through benchmarks, we enable customers to achieve optimal results and solidify Cloud Platform position as the premier platform for AI/ML.
As a Senior Software Engineer, you will design and implement advanced storage solutions tailored for AI/ML workloads on our Cloud Platform. You will address system design issues, develop production-ready code, and contribute to changing incubation projects. This role involves developing benchmarks, resolving performance issues, and collaborating with cross-functional teams to bridge storage infrastructure with evolving AI/ML demands, from training to inference.
Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Curious how a streaming platform handles millions of events an hour and never drops one? Come build ours.
We're looking for a Senior Data Engineer to design, build, and scale the streaming services at the heart of our next-generation data platform. This is an individual contributor role for an engineer who has spent years in Kafka and Java, who knows what it takes to keep microservices healthy under real load, and who treats GenAI as part of the toolkit rather than a buzzword.
This job is located in Tel Aviv (hybrid).
About Us
At our company, were creating the industrys leading SASE platform, merging advanced security with seamless connectivity. Our mission is to empower businesses to thrive in a cloud-first world, and data is at the heart of this transformation.
Why Youll Love This Role
Design and scale real-time data pipelines that process tens of millions of events per hour, end to end
Work with cutting-edge technologies - Kafka, Java microservices, AWS, and modern GenAI tooling across the SDLC
Set technical direction for a domain that directly affects customers globally
Key Responsibilities
Architect, build, and own scalable Java microservices for streaming ingestion, enrichment, and processing
Drive Kafka design decisions - topics, partitioning, consumer groups, back-pressure, delivery semantics and tune them for throughput and reliability
Make scaling calls based on data: load tests, profiling, capacity planning, and production telemetry
Embed GenAI across the SDLC : code generation, code review, test authoring, debugging, design exploration and share your knowledge with the team
Partner with architects, product managers, and data consumers to turn ambiguous requirements into resilient systems.

We are looking for a macOS Developer to join the Software macOS agent Team.
This role is perfect for a highly experienced software developer who is familiar with the networking and security world. As an integral part of our R&D, youll be working with a motivated agents team and the software group that is responsible for multiple desktop and mobile device agents.
This job is located in Tel Aviv (hybrid).
About Us
our company Harmony SASE is a leader in VPN and network security, striving to deliver the premier SASE platform in the market. We are redefining how businesses connect in the era of cloud and remote work, with an innovative approach that integrates cloud and on-device protection. As a fast-growing company, we are seeking extraordinary team members to support our expanding customer base of over 3,000 businesses across various industries and sizes.
This role is based in Israel - hybrid, 3 days a week from the office.
Key Responsibilities
Develop scalable and secure agents on the Mac OS platform
Evaluate technologies, tools, and best practices that improve reliability and productivity.
Work closely with product, backend, QA, support, and other agent teams to deliver production-grade SASE capabilities.
Drive technical quality through clear design, strong execution, code reviews, and root-cause analysis.
Mentor engineers and grow the teams macOS, systems, and networking expertise.
Solve complex macOS, networking, performance, and production issues and Initiate innovation to promote business needs.