לוח משרות דרושים Senior Backend Developer, לחיפוש זה נמצאו 133 משרות

the data services group at the company is looking for a talented backend Developer to help shape our next-generation data export solutions.
our mission is to give customers and partners a secure, reliable, and flexible way to get their data.
our core product, datalocker, delivers data reports on flexible schedules to stores like s3, bigquery, and snowflake.
the team also owns the ai assistant, a conversational assistant built into the company platform, powered by llms, multi-agent orchestration, and mcp.
our stack: scala, Python, postgresql, spark, airflow, llms, mcp and more.
what youll do
build and scale backend data export services and pipelines, integrating with various 3rd party vendors and data stores
build and evolve the ai assistant backend : agent orchestration, tool integrations over mcp, and secure human-in-the-loop actions on customer data
own and develop products and features end-to-end, from design to production
process and deliver massive data volumes reliably, efficiently, and securely
collaborate with product managers and software engineers to deliver value to customers
continuously learn and evaluate new technologies to adapt to ever-growing scale

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll:
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.

we're looking for a senior backend engineer to help build and scale the Machine Learning platform that powers how the company uses ai across the business. you'll be part of the ml platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work. our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role you'll
design and build the foundational ml platform and ai agents to accelerate data science model delivery across all business units
architect cloud-native microservices running on kubernetes, using infrastructure-as-code to automate model deployment and management
own the end-to-end ml lifecycle, covering training, testing, deployment, and Real-Time monitoring
evaluate and choose the right tools and technologies based on workload demands and performance requirements
collaborate with engineering, data science, and product teams to keep ml projects aligned with business goals
identify and fix reliability, scalability, and performance gaps before they become problems.

were looking for a senior-level backend engineer to join our growing engineering team in tlv.
this role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the product, QA, data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
we believe three things matter for every role at the company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and ai insights. these aren't buzzwords, they're how we actually work.
our ai-first approach isn't just a tagline either. we're building the future of insurance with ai at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
in this role youll:
help build our products using microservices written in typescript (using nestjs).
leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
collaborate closely with the product team, in a self-sufficient squad to achieve the squads okrs
be the owner of your domain to ensure code quality, performance, and scalability of our products
coach and mentor other developers and help them elevate their skills.

the 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, the 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. for more information, visit company.
at the 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, the company is the place to do the best work of your career.
as a senior backend application infrastructure engineer, youll build and evolve the core libraries, frameworks, and services that power the company's Python platform at scale. youll work on backend systems, distributed architectures, data infrastructure, and event-driven systems, enabling engineering teams to build reliable and scalable products efficiently.
were looking for a strong Python engineer with deep systems understanding who enjoys solving complex technical challenges and building the foundations behind large-scale production environments.
youll own:
designing, building, and maintaining core Python infrastructure libraries and frameworks used across engineering teams.
developing and supporting high-scale microservices and the shared foundations they run on.
building reusable infrastructure capabilities for data access, messaging, observability, and service communication.
driving engineering standards around performance, observability, security, maintainability, and production readiness.
driving ci/cd processes, deployment automation, and cloud-native operational practices.
youll solve:
performance, concurrency, and scalability challenges across mission-critical Python services.
data and infrastructure challenges across postgresql, mongodb, opensearch, redis, kafka, and sqs.
production issues that require deep understanding of runtime behavior, such as memory, cpu, i/o, and process and thread behavior.
the growing complexity of modern software ecosystems by building infrastructure that guides developers toward best practices while preserving flexibility where needed.
bridging architectural and operational gaps between backend, DevOps, sre, and product engineering teams.
youll impact:
faster product development through strong infrastructure libraries and foundations.
stable, scalable, and efficient production systems across critical platform components.
better Developer experience through well-designed, reusable components and streamlined engineering workflows.
the long-term evolution of the company's Python infrastructure and engineering standards.

the 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, the 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. for more information, visit company.
at the 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, the company is the place to do the best work of your career.
as a senior backend engineer on the company's ai framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate ai agents at scale. this is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power the company's agentic ecosystem.
youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. the platforms you build will be used by multiple teams across the company, making your impact immediate and company-wide.
youll own:
agentic framework architecture: designing and building the company's internal agentic framework, leveraging and integrating industry-standard tools such as langchain, langsmith, adk, and similar ecosystems.
evaluation and quality systems: building evaluation frameworks and workflows for ai agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
observability, monitoring, and guardrails: providing the organization with robust observability capabilities for ai agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer enablement platforms: creating apis, sdks, and abstractions that enable product teams to easily build, TEST, and operate agents while adhering to platform standards.
cross-language integrations: designing integrations and tooling across Python and JAVA to enable seamless adoption of the ai framework within the company's broader backend ecosystem.
agent runtime and execution engine: building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
youll solve:
agent lifecycle and orchestration complexity: managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
ai system reliability at scale: ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
evaluation and drift challenges: detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
platform adoption friction: balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
youll impact:
company-wide ai enablement: empowering every engineering team at the company to build agent-based solutions faster, with higher quality and confidence.
foundational ai infrastructure: establishing the core frameworks, evaluations, and observability standards that all ai agents at the company will rely on.

Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives
What you'll do:
Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

We are looking for a Senior Principal Backend Engineer to join our Cortex team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
More information about the Cortex XDR product can be found here.(opens in new window)(opens in new window)
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation - You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support - You will write clean, testable, readable, fast and maintainable code that is efficient and scalable
Drive the inception, strategy and execution of our autonomous investigation and response solution (Autonomous SOC).

Palo Alto Networks is seeking a visionary Sr. Principal Backend Engineer to shape the future of our Cortex platforms. In this highly impactful role, you will act as a technical pioneer and an architectural challenger for our leading-edge security orchestration, automation, and response platform.
Bringing an entrepreneurial mindset and a deep understanding of the competitive business landscape, you will critically evaluate our core systems, champion system quality, and drive rapid prototyping (POCs) for innovative AI-based solutions. This is an exceptional opportunity for a seasoned technologist-perhaps a former founder-who wants to keep their hands in the code while shaping our strategic direction and pushing the boundaries of AI-driven cybersecurity.
Your Impact:
Challenge the Architecture: Bring a fresh, external perspective to critically evaluate our core systems and drive uncompromising standards for quality and resilience.
Prototype & Innovate (POCs): Keep your hands in the code by rapidly prototyping GenAI integrations and evaluating new models before they are scaled by the broader team.
Think Like a Founder: Deeply understand our business, competitive landscape, and market trends to ensure technical decisions drive real business value.
Industry Presence: Stay ahead of the curve by actively engaging with the broader tech community, tracking trends, and attending industry conferences.
Lead & Elevate: Guide cross-functional teams, lead high-level design reviews, and elevate our engineering culture through technical mentorship.

we are seeking a highly technical, hands-on Software Engineering Team Lead for our Cortex XSIAM group. You will manage a high-performing team of 3 senior and principal engineers to build a complex, long-term AI agent project. This role requires a highly adaptable "orchestrator" - someone who can seamlessly drive cross-platform architecture, collaborate with multiple Product Managers and infrastructure teams, and remain deeply hands-on with the codebase.
Your Impact:
Lead & Code: Manage a senior team while remaining heavily involved in writing, reviewing, and optimizing complex backend code.
Architectural Leadership: Drive high-level design and cross-platform architecture across multiple repositories and products.
Cross-Functional Collaboration: Act as a central focal point, aligning with various PMs and infrastructure teams to shape and deliver AI-driven solutions.
End-to-End Ownership: Own the full development lifecycle, from system design to production stability and real-time issue mitigation.

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

We’re looking for a Senior Backend Engineer to join our R&D team and play a key role in building the company’s core technology from the ground up.
In this role, you’ll take end-to-end ownership of our backend systems - from architecture and technical design, through hands-on development, to production and scale. You’ll lead the creation of reliable, scalable foundations that bring Mami’s product vision to life.
At Mami, engineering goes far beyond writing code. You’ll work closely with every function in the company to design and build systems that solve meaningful business problems and directly impact the product and users.
What You'll Do Build and lead complex, scalable backend systems that power our core web platform Design and implement solid architectures with a strong focus on performance, reliability, and maintainability Champion a "Full-cycle" engineering culture, owning everything from design to production-grade deployment Collaborate closely with engineering and product teams to ensure efficient, well-integrated systems across platforms Continuously raise the bar on code quality, best practices, and engineering standards