דרושים » תוכנה » Senior Back-End Engineer

We create solutions used by both technical and non-technical users to manage, deliver, transform, and collaborate on media assets throughout their lifecycle, through both API and UI.
We take full ownership of what we build, from shaping solutions and making technical decisions to delivering production-ready capabilities with real customer impact.
We are a collaborative, proactive, and product-minded team, with members based in Israel and Poland, working primarily in English.
What Youll Do
Build impactful backend solutions - Design and develop scalable services and infrastructure that support core product capabilities, with a strong focus on reliability, simplicity, and business impact.

Own features end to end - Work closely with product managers and engineers to take ideas from design through implementation, deployment, and ongoing improvement.

Work across a modern backend stack - Develop and operate services using technologies such as AWS, Terraform, Go, and Ruby-based backend systems in a cloud-native environment.
Leverage AI-assisted development tools - Use AI coding tools to their full potential in day-to-day development, and help drive best practices around how the team adopts and works with these tools effectively.
Maintain high engineering standards - Write clean, scalable, maintainable code and contribute to thoughtful architectural decisions that align with broader platform goals.
Improve and evolve the system - Identify opportunities to enhance performance, developer experience, and product capabilities, including the adoption of new tools and approaches where they create value.

company description
 a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
we help protect the most critical assets of the worlds leading organizations. we are a global leader in identity security, providing cutting-edge security solutions for any identity - human or machine - across business applications, hybrid cloud workloads and throughout the DevOps lifecycle.
what will you do:
we are looking for an experienced software engineer for our new generation dv(digital vault) saas product.
we are looking for a senior software engineer to join our team. you will be responsible for building core saas offering products, built on-top of aws serverless stack, using Python, cdk and other cloud technologies.
you will work with smart (but humble) team members (developers, architects, DevOps, QA ), everyone working together to produce top-notch services at the highest standards - from planning to production.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
were building foundational infrastructure to secure ai agents-including their identities, access patterns, and interactions with sensitive systems and data. this includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
as a staff engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
this is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of ai, identity, and security.
responsibilities
own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management, shaping architectures that span multiple services and teams while balancing scalability, reliability, and security. lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs. proactively identify critical technical problems or gaps, and drive solutions from concept through delivery. establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence. communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration. document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform. advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust our company to help secure their most critical assets.
job description
as a staff engineer in the data & ai platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our data and ai ecosystem. you will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
this role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution. in this role you will
lead end-to-end development of high-priority, cross-team features and initiatives in the data & ai platform. design and implement scalable, resilient, and secure distributed systems in a modern cloud environment. drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and ai teams. mentor developers, support their growth, and elevate engineering practices across the group. promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives. evaluate new technologies and guide their adoption where appropriate. collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

We are looking for an experienced and motivated R&D Team Leader to join our engineering organization.
This role combines hands-on technical leadership with team management responsibilities, leading the development of a complex and scalable solution.
The ideal candidate will guide the team in building high-quality products while driving architectural decisions and ensuring strong engineering practices.
If you are passionate about technology, excited about AI innovation, and thrive in a proactive, ownership-driven environment - wed love to meet you.
Responsibilities:
People Leadership & Team Development:
Lead hiring processes and build a strong, high-performing team.
Provide regular feedback to team and conduct 1:1 meetings to support professional growth, especially of junior team members.
Facilitate and lead team rituals to foster collaboration, alignment, and continuous improvement.
Technical Leadership & Execution:
Demonstrate proficiency in the teams technologies and guide technical direction.
Own the delivery of high-quality solutions, reviewing code and designs, while remaining fully hands-on.
Drive sprint planning and execution, ensuring timely delivery of features with high quality and low defect rates.
Identify, communicate, and escalate risks and blockers to maintain progress.
Product & Collaboration:
Understand the product and user domain, ensuring team work aligns with product goals and customer needs.
Work closely with Product Managers, designers, and QA to ensure alignment and smooth development.
Communicate updates and progress transparently to stakeholders.
Adjust team priorities and plans in response to changing circumstances and constraints.
Innovation & Continuous Improvement:
Encourage the team to experiment and try new approaches to solving problems.
Explore and promote the use of generative AI tools (e.g., Copilot, ChatGPT) to enhance coding, documentation, and daily workflows.
Make data-informed decisions, balancing priorities, technical constraints, and business needs.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

As a Senior Media Processing Backend Engineer, youll be part of Image team, working side by side with frontend and backend engineers. Youll contribute to feature development, code maintenance, and the operation of hundreds of production cloud servers.

The team is responsible for the core of main product. This includes the image transformation engines that process billions of requests per month (thousands of requests per second) and support all applications. Trusted by the worlds largest brands, our systems deliver high-fidelity media through flexible transformations with low bandwidth consumption and minimal latency.
Responsibilities
Develop and maintain main transformation services in Ruby on Rails.
Optimize system workload, time, and cost.
Develop custom transformations using building blocks from the research group, open source, or commercial solutions.
Contribute to the ongoing development of our Deep Learning platform, mainly in Python.
Provide 2nd-tier support for our code and participate in team and company-wide on-call rotations.
Address internal customer inquiries and complex questions.
Maintain and update image processing pipelines, including open source, commercial, and in-house. Mainly C++
Technologies
Youll develop in Ruby on Rails, C++, Python, Go, Typescript, and a bit of Rust, leveraging AWS, Kubernetes (EKS), and Lambda infrastructure.
You will work closely with both in-house and open-source processing tools, such as FFmpeg and ImageMagick.

Were looking for a hands-on Full Stack Team Lead for our AI-Powered Content & Monetization Platform - someone with an AI first mindset who enjoys building both scalable backend systems and high-quality user facing experiences across the full stack, while leveraging modern GenAI tools to accelerate development and improve engineering workflows.

Youll lead by doing - building, prototyping, prompt-engineering, and guiding the team in adopting agentic development practices while maintaining architectural clarity across our Streaming & Engagement Platforms.

As part of your role, you will:

Lead a full-stack engineering team (Web, Mobile, Streaming & Engagement Platforms), owning execution and delivery end-to-end.
Stay deeply hands-on - architecting, coding, reviewing, and building production-ready features.
Drive agentic development practices across the full SDLC.
Build rapid functional prototypes - turning product ideas or Figma designs into working cross-platform solutions.
Integrate LLMs into development workflows - including test generation, documentation, CI/CD automation, and internal tooling.
Architect scalable solutions across Web, Mobile (React Native / Flutter), and Streaming & Engagement environments (Smart TVs / CTV).
Ensure high-quality user experiences while maintaining scalable, reliable backend systems across consumer-facing platforms.
Work closely with Product and Design to streamline design-to-code cycles using modern tooling.
Mentor engineers on modern full-stack architecture and AI-assisted development workflows.
Balance speed with technical depth - enabling fast iteration without sacrificing scalability.