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In this role youll be part of an innovative team that creates the next generation of Intuits risk investigation and remediation system, working on cutting edge AI technologies.

If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.

You will collaborate with many teams in Intuit and contribute to many components in different Business Units.

We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.


Responsibilities

Successful delivery of high-quality software (requirements, design, code, documentation, etc.)
Contribute to early quality activities, including peer reviews of estimates, designs and code
Develop well-architected, elegant software solutions with a passion for excellence
Production support involved with monitoring systems and remediating issues
Work cross-functionally with various Intuit teams, partner effectively with all team members to deliver against commitments
Partner effectively with all team members to deliver against commitments
Mentor team members, fostering their progressional growth and development
Commitment to team success and positive team dynamics
Collaborate with other engineers to share best practices and knowledge of emerging technologies
Occasionally engage with customers to get a first-hand understanding of their needs
Strong leadership and communication skills, and ability to work well in a team
Perform and participate in peer code reviews

Great IT and security work means nobody notices the bugs because you already squashed them. From cloud engineers to IT operations managers, our team combines technical expertise with a deep respect for what's at stake. So if you're proactive and precise under pressure, the Fiverr Cyber, IT and MIS team might be the right place for you. We are looking for a IT Tech Lead Engineer to own and evolve our modern, cloud-first workplace infrastructure. This role is highly SaaS-active , focusing heavily on identity lifecycle automation and automated endpoint management. You pair deep infrastructure skills with an AI-forward mindset , actively leveraging AI tools to automate operations, optimize internal workflows, and secure our fully digital environment.

What am I going to do?:
Identity & Access Management: Own Okta as our primary IdP. Architect and automate complex identity lifecycles, directory integrations, and context-aware adaptive MFA policies. Endpoint Management (MDM): Design and manage our enterprise Apple ecosystem using Jamf Pro . Optimize zero-touch deployment (Apple Business Manager), patch management, and security configurations. SaaS & Cloud Operations: Act as the primary administrator for our core SaaS stack. Integrate systems via APIs, webhooks, and automated workflows. AI Integration & Automation: Implement AI-driven operations (AIOps) for smart monitoring, predictive analytics, and low-code/no-code automated IT support workflows. Security & Compliance: Lead the technical execution of security roadmaps, actively driving initiatives to meet and exceed annual compliance targets. Partner with security to enforce zero-trust architecture, manage vulnerability patching, and pull automated evidence for compliance audits (SOC2/ISO 27001).

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. we are now seeking a highly motivated infrastructure, tools & ai engineering manager to join our ethernet switching group, working on sonic network os. in this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and ci pipelines through regression, code coverage, and TEST efficiency. you will apply cutting-edge ai and llm capabilities to transform how we analyze failures, generate TEST coverage, and accelerate product quality.
what you'll be doing:
lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities
design, build, and maintain scalable infrastructure for development, integration, and TEST environments supporting sonic os.
architect and deliver llm-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and TEST flakiness prediction
lead efforts to reduce regression runtime through parallelization, smart TEST selection, and dependency-aware scheduling
develop deep technical knowledge of sonic network os internals, including its subsystem architecture, sai/asic abstraction layer, and management plane

Our Network Modeling and Performance Insights group is seeking a skilled and driven senior software engineer for the design and development of our internal advanced AI-networking simulation service. The simulation service is a critical tool for developing and improving our AI system offering and has direct influence on HW and SW design, network architecture, performance characterization and optimization.

In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

 

What you'll be doing:

Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project.

Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expose the simulation as a service to facilitate easier access for different stakeholders.

Enhance simulation runtime and memory consumption through creative optimization techniques.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.

We are looking for an experienced IT System Engineer to join our global IT team.
In this role, you will take ownership of critical enterprise infrastructure across cloud, identity, networking, virtualization, and SaaS environments. You will work closely with Security, DevOps, Engineering, and IT teams to build secure, scalable, highly available infrastructure while driving automation and operational excellence.
We are looking for someone who combines strong hands-on technical skills with a systems mindset - someone who can troubleshoot complex issues, automate repetitive work, improve existing architecture, and lead infrastructure initiatives from design through production.
Key Responsibilities:
Manage and improve cloud infrastructure, primarily in AWS, with exposure to Azure, GCP, and other cloud platforms.
Own identity and access management across cloud and SaaS environments, including Entra ID, SSO, IAM, RBAC, and user lifecycle processes.
Administer and troubleshoot Microsoft 365, VMware, networking, and other core enterprise infrastructure.
Automate operational and administrative tasks using Python, PowerShell, APIs, Infrastructure as Code, and AI-assisted tools.
Use AI effectively for scripting, troubleshooting, documentation, analysis, and improving IT operational workflows.
Manage enterprise endpoints and device compliance using Kandji and Microsoft Intune.
Troubleshoot complex infrastructure, cloud, identity, and connectivity issues and act as an escalation point for the IT team.
Partner with Security and Engineering teams to improve access controls, infrastructure security, monitoring, and compliance.
Proactively improve reliability, scalability, documentation, and operational processes.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

We're looking for an Automation Engineer to join the System Automation team, the central automation team within engineering department. SA owns the company-wide system automation platform: the system, correctness and performance tests, and the pipelines that run them, across products and a rich technology stack.
Our current focus is scale and performance. We test the limits of the system, benchmark it against realistic, large-scale workloads, and catch performance regressions before every release. We're also turning that expertise into a platform, with frameworks, tooling and know-how that let product teams write and run system tests themselves. You'll work closely with developers, architects, product managers, QA and DevOps engineers, and you'll help shape both the tests and the platform.
What you'll do:
Design, build and evolve the SA platform: the frameworks, tooling and CI pipelines that run system, correctness and performance tests across products.
Plan and run system-limitations testing to find where the product breaks under data volume, concurrency and load, and turn the findings into clear, actionable results.
Build and maintain performance benchmarks on realistic workloads, and run them on to catch regressions early.
Make it easy for product teams to own their system tests by creating reusable building blocks, documentation and examples, and by coaching engineers through knowledge-sharing sessions.
Analyze results with developers and architects to pinpoint bottlenecks and drive fixes
Use AI-assisted development tools and agentic workflows to speed up test creation and maintenance, and keep up with what's changing in automation and performance engineering.

we are looking for a talented software engineer to join the ai solutions team in our Linux networking drivers organization. our mission is to bring ai into every stage of how we build software: design, development, verification, debugging, and release. we build ai agents and tools that make our engineers faster and our drivers better.
this is a hands-on development role in a field that changes every few months. you will turn new ai capabilities into solutions that engineers use every day, and you will help decide where ai can make the biggest difference next. if you are passionate about ai and want to apply it to a complex, real engineering domain, we want to hear from you.
what you will be doing:
design, develop, and deploy ai agents and tools for the software development lifecycle.
work with developers and Verification engineers to understand their workflows and find where ai can help most.
measure the quality of ai solutions and improve them based on data.
connect ai solutions to engineering systems and data, and run them reliably in production.
follow the fast progress of ai models and tools, and bring the best of them into the team's work.

Required Principal Data Engineer (Cortex)
Job Summary
As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities:
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

We are looking for a talented, experienced, and highly technical Salesforce Engineer to join our Salesforce Tech team on an adventure to reshape our Salesforce. The Salesforce team is part of the Applications & Integrations Group - globally responsible for business applications and cross organizational integrations, ensuring the delivery of innovative high-quality solutions to meet business and operational needs.
The ideal candidate will be highly motivated, curious, and possess a deep understanding of Salesforce functionalities, a team player and people person that following best practices is in his DNA and is looking to take full ownership on his domains.
Glilot
Hybrid
Full-time
What youll do:
Build and maintain scalable solutions in the system using AI Coding Agents, declarative tools like Flow and other tools/packages
Refactor our user experience with Lightning Pages, Dynamic Forms, Dynamic list views and buttons - and other tools you know
Take an active role in project discussions and planning to make sure the solution designed is the correct one, scalable and easy to maintain
Create Process documentation and architecture to make sure knowledge is shared across our teams
Proactively identify opportunities for automation and process improvement within Salesforce
Keep learning new Salesforce features and introduce new tools from the ecosystem to the team that can help our company and processes

Were looking for an experienced Query Infra Team Lead to build and lead this team - someone who comes from deep data infrastructure, analytical databases, search infrastructure, and large-scale querying, and who wants to shape one of the most important technical foundations of our platform.

What youll do
Create, build and lead our Data Infra team from the ground up.

Own the infrastructure of our investigation data layer for the Platform.

Turn our investigation infrastructure into a dedicated, well-defined platform capability.

Design and evolve the data models, schemas, indexing strategies, and query patterns that power our investigation databases.

Lead the architecture, operation, and scaling of the databases and search infrastructure that power investigation, analytics, and query use cases across the platform.

Partner closely with Product, Backend, DevOps, Security Research, and customer-facing engineering teams to define clear boundaries, contracts, and data-layer APIs.

Make the data layer reliable, observable, cost-efficient, and performant across many tenants and large volumes of security data.

Set engineering standards for schema design, data modeling, query optimization, migrations, backfills, and data-quality monitoring.

Mentor engineers, review technical designs, and raise the bar for how Zafran builds and operates data infrastructure.

Stay hands-on: this is a leadership role for someone who can still go deep into architecture, production issues, performance bottlenecks, and complex queries.

We are looking for an Analytics Data Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

We are looking for a Senior Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.

Responsibilities:

As a Senior Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:

Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.

Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.

Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.

Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.

Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.

Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

In enterprise security, no product wins alone. Identity has become the critical framework linking cloud infrastructure, security applications, and automation. As organizations rapidly adopt AI agents and autonomous machine workflows, securing how these systems interact is the most critical challenge in modern technology.
As Senior Product Manager for Technology Alliances, you will define how the Idira platform connects with the broader enterprise technology ecosystem. Your primary mission is leading our AI and machine solution partnerships, driving horizontal strategy across the entire portfolio.
You will operate strategically across three ecosystem tracks: our internal engineering speedboat team, external partners building directly on our platform, and core product lines embedding integrations into their roadmaps. We are looking for a fast product builder who thrives in ambiguity, establishes cross-organizational alignment with ease, and makes excellent product calls.
Ecosystem Roadmap: Define product direction and author technical requirements for both internal engineering builds and external partner developers by translating signals from customers and the field into a prioritized integration backlog.
Market Research: Continuously evaluate the fast-moving AI, machine learning, and automated agent identity landscapes, identifying high-value technology trends and net-new integration opportunities.
Drive Technology Partnerships: Lead the product strategy for strategic technology alliances. Partner closely with the business development managers who own the business relationship.
Cross Functional Alignment: Partner with core product management leaders across the enterprise to synchronize roadmaps, delivery timelines, and launch plans, creating a unified strategy across all products.
Bring Integrations to Market: Collaborate closely with internal teams such as product marketing to ensure Sales, Customer Success, and Sales Engineers are fully equipped to position, demonstrate, and implement new integrations to drive customer adoption.
Measure Ecosystem Adoption: Own the framework for tracking how customers interact with our ecosystem. Monitor and analyze integration usage data, identify trends in customer adoption, and connect these product health insights directly to broader platform growth and retention goals.