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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were seeking a Solutions Engineer Manager who thrives in fast-paced, customer-facing environments and enjoys leading high-performing engineering teams, delivering complex enterprise integrations, and turning custom technical solutions into scalable, repeatable processes.
About the role
Our delivery org is scaling fast. Customers are getting larger and more global, and the number and complexity of delivery projects is growing with them.
We're hiring a Solutions Engineer Manager to lead the engineers who build the two-way integrations connecting our company's agents to our customers' enterprise systems - and to turn that work from a series of custom projects into a repeatable engine.
Where you own and where you partner. Technical Project Managers own the project plan and the customer-facing schedule. You own the execution: the estimates your team commits to, the quality of what ships, and the health of what runs in production. When a date is at risk, the TPM manages the customer conversation; you own the engineering path back to green.
How the team grows. You'll lead and hire a team of 4-8 Solutions Engineers. Within your first year we expect the charter to broaden into DevOps and product-adjacent engineering, and we expect you to define that team and hire it. If you want to build an org rather than inherit one, this is the job.
This is a Tel Aviv-based role, with travel to our US office and to global customers.
‍What you'll own
The team
Hire, coach, and grow the Solutions Engineering team - then expand it into DevOps and dev hires as the charter widens
Run the day-to-day: capacity allocation across concurrent projects, escalation triage, on-call rotation, 1:1s, and growth plans
Raise the skill ceiling of every engineer who reports to you
Execution
Stand behind your team's estimates - and hit them
Own the quality of shipped integrations and the health of production environments; keep escalations that reach our company personnel low
Build reproducible playbooks so each implementation costs less than the last
Feed engineering reality into TPM and Solutions Architect planning for POCs and production rollouts
Customers
You are not the account owner. You're in the room for four things: consultation, architecture planning, execution excellence, and timelines.
Advise across the full stakeholder range - from the engineers your team integrates with, to their engineering managers, up to directors, VPs of Engineering, and CIOs
Lead architecture planning with customer technical teams: what we'll build against, what their systems can actually support, and where the risk sits
Speak to execution and timelines with authority - what's committed, what it depends on, and what changed. The depth adjusts to the audience; the answer doesn't.
Be the technical voice customers trust when the question is can this actually work
Technical bar
Your engineers will go deeper than you in specific areas. You need enough depth to review their work, make architecture calls, and interview well across all of it.
Large-scale resilient two-way integrations against custom enterprise APIs - queues, retries, idempotency, race conditions, rate limits and quotas
Designing and consuming APIs for enterprise customers. Required knowledge: Protocols (REST, GraphQL), API security & authentication, architecture (polling, webhooks, pagination). Knowledge of best practices for market integrations
Cloud deployments at scale - CI/CD, observability, and running on-call for an independent team. Enough infrastructure judgment to hire DevOps engineers, not just work alongside them.
A plus: on-prem environments; AI, LLM, and knowledge-pipeline engineering; building products and processes under data-protection regulation.
דרישות:
Crazy personal drive. Be a bulldozer.
Insatiable creativeness. Be a big dreamer.
You've led an engineering team to predictable delivery - stable output, dates that hold
You turn one-off solutions into repeatable process by i המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were seeking a Solutions Engineer who thrives in fast-paced, customer-facing environments and enjoys building and shipping complex enterprise integrations, solving production challenges, and turning scoped technical projects into reliable, scalable solutions.
As our customers turn more enterprise and more global, our delivery org is where deals become live production systems. As a Solutions Engineer, you're the person who makes integrations real - you take a scoped project and ship it: fast, high-quality, and on the timeline you committed to.
You'll build and test the two-way integrations that connect our company's agents to our customers' enterprise systems, debug issues in production, and clearly communicate impact and plans back to the team and the customer. You're a hands-on integrator at heart, but you can hold your own in a room - explaining what you built, why it behaves the way it does, and what happens next to both engineers and business stakeholders on the customer side.
You'll work inside a delivery pod alongside Technical Project Managers, Solutions Architects, and your Solutions Engineer Manager, on both presale POCs and long-running production deployments.
* This is a Tel-Aviv based role with some travel to the USA office and to global customers expected.
What You'll Do
Implement customer integrations quickly and at sufficient quality - from POC scope through production
Match committed timelines, and surface risks and rejections early where relevant
Debug production issues and communicate impact & remediation plans effectively
Participate in POC and production implementation work alongside customer ICs, and lead technical working sessions with them
Build integrations that hold up under real enterprise load - queues, retries, rate limits, race conditions
Contribute to reproducible playbooks so each integration is faster and more predictable than the last.
Requirements:
Relevant skillset:
Strong hands-on engineering - you ship, you don't just design
Able to implement integrations quickly and in sufficient quality
Able to match timelines and surface rejections where relevant
Able to debug issues in production and communicate impact & plan effectively
Able to lead technical meetings with customer ICs, and hold clear, credible conversations with customer stakeholders
Full ownership of what you ship - you don't hand off half-finished work
Relevant technical skillset:
Web-application engineering: Node.js, React, Typescript, Postgres
Large scale resilient 2-way integrations w/ custom enterprise APIs: Queues, reliability, race conditions, retries, rate limits & quotas
Building and consuming APIs for enterprise customers
Comfort operating in cloud based deployments: CI/CD, observability, debugging live systems
A plus: AI, LLM & knowledge pipelines engineering; experience with data-regulation compliant products and processes.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:
Requirements:
Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.
Technical Proficiency:
Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability.
Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an advantage.
AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.
Data Engineering: Hands-on experience with data pipelines and big data infrastructure.
Leadership and Mindset:
Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines.
This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements.
Why this role:
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance:
Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
Implement deterministic verifiers that evaluate agent behavior with zero ambiguity
Customer delivery:
Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
Translate customer specs into working environments, iterating rapidly on feedback
Own the technical relationship: SLAs, API contracts, integration architecture
Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces)
Rapid prototyping:
Take ambiguous problem descriptions and produce working prototypes within days, not weeks
Validate new environment types, interaction patterns, and verifier approaches quickly
Build internal tooling that accelerates scenario authoring and testing.
Requirements:
Must have:
8+ years of software engineering experience, with a track record of building production systems from zero
Deep expertise in infrastructure: Linux, containers (Docker), VMs (Firecracker or similar), networking, cloud platforms (AWS strongly preferred)
Strong Python skills and comfort with async/concurrent systems
Experience building platforms or developer tools (not just consuming them)
Full-stack capability: backend services, infrastructure-as-code, APIs, and frontend development (React or similar) for customer-facing interfaces
Demonstrated ability to work autonomously with minimal specification, making sound architectural decisions under ambiguity
Comfort working directly with external customers and translating technical constraints into engineering solutions
English fluency (written and verbal) for customer-facing communication
Nice to have:
Experience with reinforcement learning infrastructure, training pipelines, or evaluation frameworks
Background in security, adversarial testing, or trust & safety systems
Familiarity with browser automation, headless browsers, or web scraping at scale
Experience with Kubernetes operators or custom schedulers
Prior work in a 0-to-1 environment (startup, innovation lab, or R&D team building new products).
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were seeking a Technical Project Manager who thrives in customer-facing environments and enjoys turning complex technical initiatives into successful real world deployments.
About the Role:
Youll act as the bridge between our customers and internal teams, owning delivery from kickoff through launch and beyond. This is a unique opportunity to work directly with enterprise customers, guide AI platform implementations, and ensure projects are executed smoothly, on time, and with impact. If you excel at communication, coordination, and driving outcomes across technical teams and customers, this role is for you.
What You'll Do
Own end-to-end delivery of customer-facing technical projects, from onboarding through production launch.
Act as the primary point of contact for customers, managing expectations, timelines, and communication.
Translate customer requirements into clear technical plans and coordinate execution with engineering, product, and design teams.
Manage project scope, timelines, dependencies, and risks across multiple customer initiatives.
Guide customers through platform setup, integrations, and AI workflow implementations.
Ensure smooth handoff to ongoing support and long-term customer success teams.
Provide clear visibility to customers and internal stakeholders on progress, risks, and milestones.
Requirements:
3+ years of experience in technical project management, implementation management, or customer-facing delivery roles.
Strong technical foundation, comfortable discussing APIs, integrations, system architecture, and workflows with engineers and customers.
Proven experience working directly with enterprise customers on complex technical projects.
Excellent communication and stakeholder management skills, with a customer-first mindset.
Highly organized, proactive, and comfortable managing multiple parallel initiatives.
Thrive in fast-paced, ambiguous environments and enjoy being the connective tissue between teams.
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are seeking a Jira-oriented Program Manager to lead high-impact, cross-functional initiatives across Product, Engineering, and Operations. This role is ideal for someone who thrives on bringing structure to complexity- documenting processes, facilitating collaboration, and creating clear visibility through dashboards and reports.

As a Program Manager, you will own the end-to-end lifecycle of strategic programs, orchestrate multi-team execution, and continuously introduce creative tracking and monitoring methods to ensure transparency, efficiency, and measurable impact.

Key Responsibilities

Program Coordination & Delivery: Plan, track, and drive cross-functional initiatives across R&D, CS, and Product - from scoping through execution and retrospective - ensuring programs land on time, within scope, and with measurable outcomes, without direct authority over the teams delivering them.
Strategic Context & Impact Awareness: Understand company priorities and translate them into program-level implications - identifying high-impact initiatives, where risks concentrate, and how team-level decisions ripple upward. Bring that context into every sync, update, and escalation.
Stakeholder Alignment & Communication: Act as the connective tissue between Product, R&D, CS, and business stakeholders. Surface blockers early, translate between technical and business contexts, and keep stakeholders moving through clear, data-backed updates.
Data-Driven Visibility: Build and maintain dashboards and reports that give teams and leadership real-time clarity on delivery health - throughput, SLA adherence, scope changes, and priority trends. Turn Jira and operational data into decisions.
Process Design & Scalability: Define and document operational processes that scale across a fast-growing R&D org. Identify friction in how teams plan, execute, and report - and drive improvements with clear ownership and adoption paths.
Workflow Automation & Tooling: Contribute to Jira automation rules, JSM workflows, and AI-powered tooling for intake, triage, and operational queries. Spot repetitive manual work and help eliminate it.
Facilitation & Dependency Management: Lead sprint reviews, retrospectives, planning sessions, and cross-functional syncs. Map dependencies, flag risks before they become blockers, and own the coordination even when you don't own the outcome.
Risk & Issue Management: Maintain a continuous view of program risk across Jira, Slack, and cross-team input. Develop mitigation plans, escalate when needed, and track to closure.
Performance Reporting: Contribute to cross-team performance reporting - surfacing completion rates, carryover trends, scope churn, and priority throughput in formats leadership can act on.
Requirements:
3-6 years of experience in Program Management, Project Management, or Operations in a SaaS or tech environment.
Hands-on Jira experience - dashboards, JQL, automation rules, board management, and using Jira to track cross-team dependencies and program-level KPIs. JSM familiarity is a plus.
Demonstrated ability to read a strategic roadmap, understand business priorities, and translate them into program-level actions and risk signals.
Demonstrated understanding of how to use AI and automation tools to enhance workflows and reduce manual overhead.
Proven ability to lead cross-functional programs with multiple stakeholders, driving alignment and unblocking dependencies without direct authority.
Strong facilitation skills - able to lead meetings, manage competing priorities, and keep discussions moving toward decisions.
Ability to document and improve multi-team processes - translating complex workflows into clear, repeatable frameworks.
Strong analytical background - able to identify trends in operational data and translate findings into actionable recommendations.
Ability to distill complex program status into crisp, decision-ready updates for leadership and stakeholders.
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

What youll do:

Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.
Requirements:
⁠Minimum 5 years of experience in a customer-facing role such as pre-sales, solutions engineering or technical architecture.
Exceptional communication and presentation skills.
Proven ability in technical integrations and conducting POCs.
⁠In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, OpenTelemetry.
Background in Engineering/DevOps will be considered an advantage.
Previous experience in Technical Sales of Observability, Monitoring, APM, RUM, SIEM is desirable.
Proficiency in coding with high-level programming languages (Java, Go, Python) - advantage
⁠ ⁠Candidates should have hands-on experience and the ability to integrate these technologies into customer environments, providing tailored solutions that meet diverse operational requirements.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time and Hybrid work
we are looking for a MLOps Engineer.
As an MLOps Engineer, you will work at the intersection of backend engineering and machine learning, building the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features used by hundreds of thousands of families.
What you'll be doing -
Build Production AI Systems - Design and implement backend services and end-to-end AI solutions that integrate Deep Learning models, Computer Vision algorithms, and GenAI into real features.
Power Experimentation and Validation - Contribute to the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Develop Data Pipelines - Build and maintain scalable data pipelines and big-data solutions that feed AI capabilities reliably and with an eye on cost and scale.
Own What You Ship - Take features end-to-end within your squad, from planning and design through implementation, deployment, and monitoring in production.
Cross-functional Collaboration - Work closely with the Algorithms and Data teams to tackle complex, real-world problems, helping translate research into shippable, maintainable systems.
Backend Guild Engagement - Actively contribute to a backend guild that drives Software Engineering and System Design best practices, guidelines, and standards across the R&D team.
Requirements:
Professional Experience - 3-5 years of hands-on backend software development experience, demonstrating solid coding skills and a foundational understanding of software design and architecture.
Technical Proficiency -
Production Systems and Cloud - Experience building and operating production-grade services on a cloud platform (AWS preferred), including familiarity with containerization (Docker/Kubernetes), CI/CD, and observability tools like Grafana and Prometheus.
Programming - Strong command of at least one programming language, with Python or Rust being a strong advantage.
Web Services - Proficiency in designing and maintaining web services and APIs, particularly with REST and WebSocket protocols.
AI-Augmented Development - Hands-on experience using AI coding tools in your day-to-day workflow, with genuine curiosity to push their boundaries.
Mindset -
Engineering Quality - A commitment to clean, robust, and rigorously tested code - you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
Self-Learner - A strong ability to self-learn, step out of your comfort zone, and independently take a concept from research to production.
Problem Solver - Strong capability to work through complex issues and adapt to evolving technologies and environments.
Advantages -
Familiarity with the ML model lifecycle - training, evaluation, deployment, and monitoring of models in production.
Experience with Data Engineering and big-data pipelines (e.g., Dagster, Airflow, Iceberg).
Experience with TensorFlow, PyTorch, or Computer Vision concepts.
Experience with distributed systems, message queues (Kafka, RabbitMQ, SQS), and high-scale infrastructure.
This position is open to all candidates.
 
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20/08/2026
Location: Ramat Gan
Job Type: Full Time and Hybrid work
We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.
Requirements:
Required qualifications:
8+ years of industry experience in infrastructure, platform, data, or ML engineering, with a deep background in designing production infrastructure for data-intensive or AI/ML systems.
Hands-on expertise building and operating MLOps systems (for model development, training, and deployment) and managing GPU infrastructure, including scheduling, resource management, and utilization.
Proficient in managing data infrastructure technologies (e.g., BigQuery, data warehouses, object storage, orchestration systems like Dagster or Airflow) and operating within Kubernetes/containerized environments.
Demonstrated ability as a player-coach, including people-management experience or leading small engineering teams, with a focus on mentoring senior engineers and influencing technical direction.
Strong communication skills with the ability to partner effectively across diverse groups, including Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics and Leadership.

Preferred qualifications:
Developer Platform & Velocity: Proven ability to build internal developer platforms, "golden paths," and self-service infrastructure that reduce operational friction and streamline workflows for research and engineering teams.
AI-First Transformation: Experience leading or guiding software and data engineering teams through the transition toward AI-first development processes, fostering adoption of new paradigms and tooling.
Compliance & Domain Expertise: Strong background operating within regulated environments (SOC2, HIPAA, GDPR) and applying infrastructure best practices to domain-specific fields such as biotech, life sciences, or bioinformatics.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8790544
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Ramat Gan
Job Type: Full Time
Required Software Engineer III, Platform Engineering and Infrastructure
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will join the premier engineering powerhouse driving Chronicle Security Orchestration, Automation and Response (SOAR) to operate at true scale. As hyper-focused experts in Platform Engineering and Infrastructure, the team holds absolute ownership over the Security Operation provisioning service, orchestrating complex resources in our Cloud Platform and mission-critical workloads in Kubernetes (GKE) and in Compute infrastructure with precision. You do not simply respond to operational issues, but build the platforms, tools, and developer infrastructure that transform complex challenges into robust, software-driven solutions.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8785700
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
7 ימים
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
As a Senior DevOps Engineer on the Price-It Platform team, youll own core cloud infrastructure, CI/CD, and the Kubernetes platform that powers Earnixs cloud-based decisioning products for global insurers and banks. Youll take end-to-end technical ownership of high-impact platform initiatives - from design through production - working hands-on across AWS, Kubernetes, and automation, while shaping how the team builds and ships.
What You'll Do: Own and evolve the cloud platform: AWS infrastructure, EKS/Kubernetes, and Terraform-based Infrastructure-as-Code. Build and maintain CI/CD pipelines and GitOps workflows that keep delivery fast, safe, and repeatable. Design and operate secure networking and access (ALB, OIDC/OAuth2, JWT/M2M, Okta, firewalling). Drive reliability, scalability, and resilience - including disaster recovery and multi-region readiness. Partner closely with R&D, Product, QA, and Support to take initiatives from design to production. Improve Developer experience and velocity, including through AI-assisted and agentic engineering workflows. Mentor and raise the engineering bar through technical leadership, design reviews, and documentation.
Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
Youll Do It Using: 5+ years of hands-on DevOps / Platform Engineering experience. Production expertise with AWS, Kubernetes (EKS), and Terraform (Infrastructure-as-Code). Strong CI/CD (Jenkins or equivalent), GitOps (ArgoCD), Helm, and containerization (Docker). Solid cloud networking, security, and IAM fundamentals. Scripting in Python and/or Bash. Familiarity with AI-assisted / agentic development tools (e.g. Cursor, Claude). Advantages: Observability (Prometheus/Grafana/Datadog), Karpenter, Crossplane, Kyverno, DR/multi-region, FinOps; relevant academic background or equivalent practical experience.
Youll Excel By: Working effectively in a fast-paced, growing, and global environment. Bringing a creative, structured, and proactive approach to problem solving. Communicating clearly and professionally with different audiences. Being well-organized, independent, collaborative, and accountable.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8726804
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