senior backend engineer - ai framework ( Python )

לפני 4 שעות

senior backend engineer - ai framework ( Python )

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

This position is open to all candidates.

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לפני 4 שעות

senior backend engineer ( Python )- application infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
how youll succeed here:
you have 5+ years of experience building large-scale backend systems in production environments.
you have strong hands-on experience with Python and modern Python service frameworks.
you have experience building and maintaining shared libraries, including api design, versioning, backward compatibility, and packaging.
you have a deep understanding of pythons concurrency models, including threading, multiprocessing, asyncio, and the gil, and know when to use each.
you have a solid understanding of operating system fundamentals, such as processes, memory, networking, and i/o, and how they affect services in production.

This position is open to all candidates.

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11/10/2026

Backend Engineer - Agentic AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

Requirements:
5+ years of professional backend engineering experience.
Strong expertise in Python and production service development.
Experience building complex, production-grade backend systems such as APIs, data pipelines, distributed systems, or workflow engines.
Hands-on experience or strong practical familiarity with LLMs, agentic AI, tool calling, RAG, workflow orchestration, or AI infrastructure.
Ability to design systems that use AI safely: validation, guardrails, evaluation, observability, and controlled execution.
Solid understanding of databases, data modeling, and API design.
Comfort working with ambiguous product requirements and turning them into robust technical designs.
Excitement about building a new category and solving problems that do not have off-the-shelf answers.
Nice to Have:
Experience with identity, security, governance, permissions, or enterprise SaaS integrations.
Experience with LLM evaluation, tracing, observability, or production AI systems.
Experience building systems that automate complex operational workflows end-to-end.

This position is open to all candidates.

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1 ימים

Senior/Principal Backend Engineer - Cortex Platform and Application

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
5+ years of professional experience in backend/platform software development.
Strong hands-on experience with backend development using languages such as Go, Javascript, C++, C#, Ruby, Python, or similar.
Proven experience designing, building, and operating large-scale distributed systems in production.
Strong understanding of software architecture, data modeling, APIs, reliability, observability, and production operations.
Experience working in cloud-based environments.
Ability to lead technical decisions while staying close to the code and implementation details.
Strong ownership mindset, including accountability for production behavior, quality, and long-term maintainability.
Experience mentoring engineers and raising technical standards within a team.

This position is open to all candidates.

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לפני 4 שעות

senior backend engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical and good people.
we are looking for a senior backend engineer to build the distributed services, data access layers, and agent orchestration behind our ai-powered products - systems that serve analytics over billions of rows and run long-lived, llm-driven workflows in production.
what you'll do:
this role combines deep backend and distributed systems expertise with product thinking and the ability to leverage ai tools effectively across the development lifecycle. you will work closely with product, design, frontend, and data /ai teams to build reliable, performant services, while driving engineering excellence and modern development practices. your contributions will shape the technical foundation of an ai-first product and directly influence what end users can ask of it.
what does the day to day of a senior backend engineer at the company look like:
your daily work will span service architecture, data access at scale, workflow orchestration, and ai-augmented development, engaging directly with the systems that power our product.
your role will include:
design and build scalable, maintainable backend services in Python (fastapi, pydantic, asyncio) and typescript (nestjs / Node.js )
own api design, contracts, and versioning across services - including the tool surfaces (mcp) our ai agents call directly
design and optimize data models, schemas, migrations, and query performance across transactional (postgresql) and large-scale analytical stores (firebolt, athena, duckdb)
build and operate asynchronous, long-running execution: durable workflow orchestration (temporal), queues, scheduled jobs, and event-driven processing
integrate llm and agent runtimes (langgraph, mcp, model apis) into production services behind deterministic, testable boundaries
implement authentication, authorization, and secure service-to-service integration patterns across an internal service mesh
build resilient upstream data -fetching layers: timeouts, retries with backoff, caching strategies, and graceful degradation when a source is slow or down
lead backend technical decisions, code quality standards, and system architecture
ensure system scalability, fault tolerance, and observability - structured logging, metrics, distributed tracing, and alerting that makes production debuggable
own services end to end in production: ci/cd pipelines, containerized deployments to kubernetes, and the debugging that follows
partner with frontend engineers on api contracts, data shapes, performance budgets, and UX constraints - designing for the consumer without owning the UI
translate product requirements into robust, scalable technical solutions, working closely with product and design
conduct high-quality code reviews and drive architectural discussions and best practices
improve testing across the pyramid - unit, integration, and end-to-end against real service stacks - alongside observability and reliability
use ai coding tools effectively in daily development work (claude code, cursor, copilot, etc.), critically evaluating and refining ai-generated code, especially for backend logic and data integrity
design efficient personal/team workflows for ai-assisted development and contribute to engineering productivity through ai tooling and automation

דרישות:
what does the ideal candidate look like:
5+ years of backend engineering experience, building and operating production services at scale#ENGLIS המשרה מיועדת לנשים ולגברים כאחד.

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12/10/2026

AI Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a highly experienced, AI-obsessed AI Senior Backend Engineer to join our core Engineering department. In this newly created, cross-functional role, you will be the driving force behind the companys internal AI transformation. You will act as the responsible for artificial intelligence, architecting, building, and deploying custom AI and automation systems from scratch to empower various departments and streamline operations.
Key Responsibilities
Architect, develop, and deploy tailored AI systems and applications from the ground up to solve organizational challenges.
Identify process bottlenecks across different teams and design robust backend automation solutions to optimize daily workflows.
Lead the hands-on integration of modern Generative AI models, APIs, and frameworks into the company's internal infrastructure.
Build scalable, high-performance backend microservices and APIs to support heavy data processing and AI workloads.
Act as the technical AI focal point, partnering closely with internal stakeholders and department heads to gather requirements and deliver high-impact technological solutions.
Collaborate with product, DevOps, and other teams to ensure that AI solutions are aligned with user needs and business goals.

Requirements:
8+ Years of hands-on Backend Software engineering experience.
Proven experience building LLM-powered applications, AI agents, or generative AI systems using modern AI frameworks.
Fluent in Python.
Familiar with cloud-native technologies (AWS, Docker, Kubernetes)
Demonstrated ability to design, build, and deploy secure backend systems and architectures entirely from scratch.
Self-driven and comfortable operating in a fast-paced environment - you don't wait to be told what to do next.
Strong collaborator with clear communication skills; you thrive in diverse, cross-functional teams.
Hands-on experience with multi-agent architectures or agentic evaluation frameworks.
Experience in high-scale cloud-native distributed systems.
B.Sc. in Computer Science or equivalent practical experience.

This position is open to all candidates.

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07/10/2026

AI-Driven Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team.
In this role, youll be building the backend foundation that powers our AI-enhanced security analytics, autonomous detection, and real-time decisioning systems. Youll work closely with AI engineers, product, and security experts to bring agentic intelligence into our companys runtime platform - transforming how modern apps defend themselves.
Youll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response.
Youll Be Great For This Role If You Love To:
Design and build scalable, resilient backend services that power our companys AI-driven runtime security platform.
Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities.
Design evaluation frameworks for measuring model performance and reliability in real-world conditions.
Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data.
Own backend architecture decisions - from data modeling to performance optimization - across Node.js, Python, and cloud-native environments.
Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices.
Mentor peers and help shape our companys AI engineering culture.

Requirements:
5+ years of backend development experience, ideally building scalable and distributed systems.
Deep expertise in Python and modern cloud-native architectures.
Proven experience with AI-enhanced systems - integrating or working with LLMs, RAG, or machine learning pipelines.
Understanding of data-intensive architectures, including streaming, caching, and dataflow optimization.
Strong collaboration and communication skills, with the ability to translate AI concepts into production-grade systems.
Advantage: Familiarity with vector databases, prompt engineering, and evaluation frameworks for AI models.
Advantage: Background in cybersecurity, runtime analysis, or agentic AI design patterns.

This position is open to all candidates.

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12/10/2026

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We're looking for a Senior Backend Engineer to own core infrastructure that powers our platform - from the pipelines that move and process data at scale, to the systems that keep our engineering org shipping fast and reliably. This is a technical leadership role: you'll set architecture direction, raise the bar on engineering practices, and mentor other engineers, while staying deeply hands-on.

You'll operate in an organization that expects AI-native ways of working. Using tools like Claude, Cursor, Hermes or LangGraphor isn't a bonus here - it's the baseline for how we build, and we expect you to help the rest of the team level up on it too.

What Youll be Doing:
Own core backend infrastructure - design and build scalable, reliable Node.js/TypeScript/Python/Go services that other teams and systems depend on.
Build and scale data pipelines - architect the infrastructure that processes and moves large volumes of data reliably, efficiently, and at scale.
Elevate test & validation infrastructure - build the automation, tooling, and CI/CD systems that let engineering ship fast without breaking things, and that make quality and reliability measurable.
Set technical direction - make architecture decisions with company-wide impact, drive design reviews, and establish engineering standards and best practices.
Mentor and multiply - level up other engineers technically, and help shape a fast, high-ownership engineering culture as the team grows.
Lead with AI-native workflows - use AI-assisted development tools daily to move faster without sacrificing architectural quality, and champion their adoption across the team.

Requirements:
8+ years of backend software engineering experience, including end-to-end ownership of production systems at scale.
Deep expertise in Node.js and TypeScript, with strong software architecture skills for building modular, distributed systems.
Strong cloud and infrastructure experience (AWS, Kubernetes, Docker), including CI/CD, observability, reliability, and production operations.
Experience building and scaling data-intensive systems, including high-throughput data pipelines, distributed APIs, data modeling (SQL & NoSQL), and messaging platforms such as Kafka or Spark.
Experience building developer infrastructure, including internal tooling, test automation, validation frameworks, or agent-facing infrastructure (e.g., MCP servers, AI/LLM tools and APIs).
AI-native engineering mindset, with daily expert use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to significantly improve engineering velocity while maintaining quality.
Technical leadership experience, including mentoring engineers, driving architecture decisions, and raising engineering standards across a team.
Experience working in fast-paced startup or scale-up environments, delivering for customers under short SLAs.

This position is open to all candidates.

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לפני 4 שעות

senior backend engineer, genai

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

anyone can ship an ai agent. shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. thats what this team builds.
we're looking for a senior backend engineer to help push our ai customer-service agents closer to fully autonomous insurance service. you'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and sms - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. this isn't a demo or a copilot. real customers, real money, real stakes, every day.
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, build, and own production llm agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
work on our Real-Time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
track cost per conversation across millions of llm calls and find the wins that cut spend without cutting quality
own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
build and operate scalable backend services in typescript/node on kubernetes/aws with deep observability - if you ship it, you own it
what you'll need
6+ years building production-grade backend systems that real users depend on
hands-on experience shipping llm-powered features to production, including honest reckoning with non-determinism, hallucination, and cost
an evaluation mindset - you don't call a change "better" without a measurement, and you're comfortable with the statistics that back that claim
a track record of debugging distributed systems in production, and the discipline to find root cause across service boundaries
fluency with agentic coding tools like claude code or cursor, including the habit of treating ai-generated code with a senior reviewer's skepticism
the ability to pull your own numbers, design your own experiments, and measure your own impact
ready to work in an office environment most days of the week

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8895338

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מייל

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שליחה

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03/11/2026

senior software engineer, ai infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

ai factories are only as good as the software that runs them. our dsx os turns gpu infrastructure into a shared, multi-tenant platform for ai teams, providing scheduling, orchestration, serving, and observability for ai workloads at data -center scale-from training and inference to reinforcement learning and agentic ai. the dsx os platform software group builds that layer through projects such as kai-scheduler, snapshot, grove, and run:ai. our work ships as open source and upstream contributions across the cloud-native and ai serving ecosystems. we focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run.
we are looking for highly skilled software engineers to help shape the future of ai infrastructure. as a senior software engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across the company and the broader community to support the next generation of ai workloads.
what you'll be doing:
designing and developing open source platform components with a strong focus on performance, reliability, and scalability.
building and optimizing kubernetes-native systems: controllers, operators, schedulers, and apis that orchestrate gpu workloads at scale.
contributing upstream - designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on.
collaborating closely with architects, product managers, and partner teams across the company to deliver impactful solutions.
writing clean, maintainable, and testable code in go.
conducting code and design reviews to uphold high-quality standards, and mentoring team members.

Requirements:
what we need to see:
b.sc. in Computer Science or a related field or equivalent experience.
8+ years of experience in backend software development, including system design and architecture.
proficiency in at least one backend programming language.
deep familiarity with kubernetes and the cloud-native ecosystem.
demonstrated ability to solve complex technical challenges and deliver high-quality solutions.
ways to stand out from the crowd:
expertise in kubernetes internals and advanced cloud-native technologies.
maintain or contribute to oss projects, and experience working in a public development process.
familiarity with ai inference workloads, serving frameworks, and performance optimization.
proficiency in Linux, with knowledge in networking, security, Storage, and virtualization.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8883058

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לפני 4 שעות

senior backend engineer - ml platform

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
what you'll need
6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems
strong proficiency in Python
hands-on experience with relational and nosql databases, and at least one major cloud platform (aws, azure, or gcp)
experience with training, testing, deploying, and monitoring Real-Time or near Real-Time ml models in production
fluent with ai-powered development tools like cursor and claude code, and genuinely curious about what's next in genai, llms, and ai agents
familiarity with ai concepts like rag, embeddings, mixture-of-experts, prompt crafting, and llm context engineering - an advantage
sharp problem-solving instincts and the ability to move fast without cutting corners
bachelor's or master's degree in Computer Science, engineering, statistics, or a related field
ready to work in an office environment most days of the week.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8895317

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