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We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.

In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.

You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.



Responsibilities
What Youll Do:

Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.

We are looking for an exceptional Production Troubleshooting & Incident Expert to take end-to-end ownership of complex production incidents in a mission-critical banking environment.

This is not a traditional support role.

The person in this position will be expected to quickly understand complex problems, build a clear picture of the incident across multiple systems, identify the relevant components and dependencies, determine the root cause, engage the appropriate engineering teams, and drive the incident through to complete resolution.

Our production environment consists of multiple applications, services, infrastructure components, business processes, and integrations with the Bank's systems. Successful troubleshooting therefore requires both deep technical capabilities and strong system-level thinking.

The ideal candidate is a natural problem solver - someone who is comfortable entering an unclear situation, asking the right questions, connecting information from multiple sources, and rapidly turning uncertainty into a structured understanding of the problem.

Responsibilities
Troubleshooting & Root Cause Analysis

Build a clear technical picture of an incident and identify the root cause, even when the initial information is incomplete or ambiguous.
Follow the complete transaction and process flow across multiple systems.
Form hypotheses, validate them systematically, and eliminate possible causes.
The role requires the ability to understand not only what each component does, but also how the entire system behaves as one ecosystem.

Debugging & Investigation

Perform advanced troubleshooting using logs, monitoring tools, traces, metrics, databases, APIs, and other diagnostic information.
Navigate between different systems and data sources to reconstruct what happened.
Identify patterns, anomalies, timing issues, dependencies, and unexpected system behaviour.


Incident & Crisis Management

Identify the right technical stakeholders.
Separate facts from assumptions.
Communicate status, findings and risks to C-level management.
Assign clear actions to relevant stakeholders.
Verify that the production environment has fully recovered before closing the incident.

We are seeking a motivated and tech-savvy Technical Support & Integrations Engineer to join our team. In this role, you will play a key part in supporting our MVP customers and internal field departments. You will bridge the gap between field operations, strategic clients, and our internal technical teams, collaborating closely with R&D and Product to handle technical escalations, assist with integration projects, and help optimize our support workflows.

This is a fantastic opportunity for someone looking to grow their technical depth in integrations and scale with a fast-growing team.

What Youll Be Doing:

Integration Support & Troubleshooting: Assist in managing the integration lifecycle. Help connect, implement, and troubleshoot data flows between our core platform and external SIEM/SOAR solutions to meet the needs of strategic clients.
Escalation Management: Collaborate with field departments and Customer Success teams to resolve technical issues, providing responsive, high-touch guidance to our MVP customers.
Ticket & Workflow Management: Manage and resolve incoming technical tickets efficiently using Zendesk (agent level), ensuring accurate documentation, tracking, and adherence to SLAs.
Technical Troubleshooting: Investigate and diagnose system behavior by analyzing logs, metrics, and performance data to identify root causes for complex deployments.
Field Tooling & Workarounds: Utilize, maintain, and help optimize internal scripts, documentation, and utilities to facilitate quick workarounds for the field team.

we are looking for a Help Desk Administrator. The Help Desk Administrator will lead internal help desk tasks, and provide professional support to all of end users - at all levels and departments. Your mission is to deliver a great help desk service experience. The Help Desk Administrator will report to the IT Team Lead.
As a Help Desk Administrator , you will have the opportunity to learn a variety of technologies, security systems, and methodologies.
Main Responsibilities:
Lead help desk support efforts, ensuring that all desktop applications, workstations, and related equipment work flawlessly, and that problems are resolved in a timely manner
Promote implementation of best practices and standards
Install and test computer-related equipment
Troubleshoot computer-related issues
Maintain an inventory of IT hardware and software licenses

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

We are seeking a talented Senior DevSecOps Engineer / Security Architect to act as the primary security owner and focal point for the Velocity R&D organization. The ideal candidate will possess a background in IT and security platforms, strong coding skills, the ability to independently learn new technologies, an unwavering commitment to quality, a collaborative work ethic, and a profound passion for securing complex infrastructures.

Our platform turns paperwork-based processes into revenue-generating customer engagements for some of the largest financial institutions in Israel, the US, Europe, and APAC.

Behind that surface, our infrastructure is split the way our customers are. Enterprise customers demand isolation and get it: a dedicated single-tenant environment each, down to their own compute, data stores, identity provider, and sometimes encryption keys we cannot access. Lower-tier customers run on shared multi-tenant infrastructure. More than fifty production environments across six AWS regions, all from one GitOps pipeline.

That split is what makes this role heavy. On the shared platform, a single change is instantly global; on the dedicated fleet, it must land correctly everywhere before anyone feels it. Every new customer adds load and cost in a straight line - your job is to break that line, making the platform carry its own weight through self-service, automation, and AI agents, not more hands. Nobody sits between you and the customer.

Responsibilities

Both tenancy models, as one system. Terraform, Helm, and ArgoCD delivering to shared and dedicated environments alike. You own the pipeline and the guardrails on it: progressive rollout, blast-radius containment, and drift detection that catches a mistake before a customer does.
Efficiency and cloud cost. Dedicated infrastructure per customer makes unit economics an engineering concern, not a quarterly finance exercise. You own attribution, right-sizing, spot strategy, and autoscaling that actually scales down - and you defend efficiency as a design constraint on every new deployment.
Turning operations into product. Onboarding, version rollouts, and config changes are tickets today; they should be self-service and boring. You decide what gets automated, what goes back to the owning team, and what still needs an expert.
Scale under real load. Temporal, KEDA queue-based autoscaling, and Karpenter are live and still maturing. You own how the platform grows and shrinks against real traffic, and what that costs per customer.
Security engineering for regulated customers. KMS-based key management, SIEM pipelines, WAF policy, certificate and secret lifecycle, per-customer SSO, vulnerability remediation, and turning penetration test findings into shipped fixes. Our customers are banks, insurers, and health funds. Their auditors are effectively part of our roadmap.
AI-driven operations. Our infrastructure repositories are already built for agentic work, with an internal harness of shared skills and agents. You inherit it, extend it, and push it into places it does not reach yet: triage, rollout verification, cost anomaly investigation, log analysis, and the long tail of operational work that has never been worth a script.
Reliability of what you ship. You are on call for your own systems, paged through PagerDuty against alerts you own.

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Implement and manage CI/CD pipelines for continuous integration and deployment.
Monitor system performance and troubleshoot issues as they arise.
Collaborate with development and IT teams to streamline workflows.
Manage cloud infrastructure and ensure high availability and scalability.
Automate system processes and infrastructure deployment using tools like Docker, Kubernetes, or

As a Technical Project Manager at Jeen, you will lead the delivery of enterprise-grade AI projects from planning through execution. Youll work closely with customers, engineering, and cross-functional teams to ensure smooth technical integrations, clear communication, and on-time delivery. This role combines strong project management skills with a solid technical background, enabling you to translate complex requirements into successful, scalable AI solutions in a fast-growing, innovative environment.

Lead complex implementations, own client relationships, and drive innovation in fast-paced environments where your technical expertise creates real business impact.

Responsibilities
Lead and manage full-cycle implementation projects, from planning to go-live
Own the client relationship from a technical perspective- requirements, customizations, installations, and version updates.
Oversee the installation of JEENs platform across dev, test, and production environments, including integration with client systems.
Collaborate with IT stakeholders and internal engineering teams.
Coordinate cross-functional project roles in a matrix environment.
Create detailed project plans, track progress, and ensure on-time delivery.
Manage and execute version updates and technical change processes with the client.

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

Work directly with Tier-1 customers, deploy our platform in their Kubernetes and OpenShift environments, and solve whatever stands in the way, from infrastructure and networking to identity integrations.

Key Responsibilities
Deploy the platform in customer Kubernetes and OpenShift environments, both on-prem (including air-gapped and GPU environments) and in the cloud.
Troubleshoot and resolve deployment and runtime issues, working across the application, container, and infrastructure layers.
Diagnose networking problems end to end: DNS, ingress and routes, load balancers, firewalls, proxies, TLS certificates, and network policies.
Integrate the platform with customer identity providers (Active Directory, Azure AD/Entra ID, Okta, Keycloak) over SAML, OIDC, and LDAP.
Own the full implementation lifecycle: installation, integration, customization, and post-deployment support.
Work directly with IT, security, and infrastructure teams at banks, defense organizations, and other regulated enterprises.
Feed field insights back to R&D and Product to improve our deployment process and documentation.

As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale our platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products.

Key Responsibilities
Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments.
Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD.
Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm.
Develop and maintain Infrastructure as Code using Terraform.
Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform.
Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling.
Develop automation and scripting tools that improve operational efficiency and developer experience.
Promote responsible and effective use of AI-powered code assistance and development practices.
Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency.

The Program Manager will ensure predictable, coordinated, and transparent delivery between Product and R&D, from release planning through launch. The role connects product and engineering teams, establishing effective ways of working, managing dependencies and priorities, and maintaining clear communication with relevant stakeholders.

Key Responsibilities
Lead release planning, readiness, and launch processes in close collaboration with Product and R&D teams.
Manage release plans and track release readiness, dependencies, blockers, risks, and delivery milestones.
Create, consolidate, and distribute clear and accurate release notes.
Facilitate sprint opening, ongoing tracking, and closure, including monitoring tasks, statuses, and delivery objectives.
Work closely with Engineering Team Leads, Product Managers, and cross-functional stakeholders across the company.
Support prioritization and alignment across business, product, and technical needs.
Establish and continuously improve operating processes, ceremonies, and tracking tools to enable efficient and predictable delivery.
Identify blockers, drive their resolution, and provide transparent updates on program and release progress.

As a Platform DevOps Engineer for us, you will lead DevOps for our SaaS product. You will serve as the products primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow.

Key Responsibilities
Own the end-to-end cloud-native infrastructure for us, including Development, Test, and Production environments.
Design and build scalable, secure, and reliable infrastructure for an active SaaS product.
Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD.
Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform.
Establish and lead observability, monitoring, alerting, and incident-response capabilities.
Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements.
Partner with R&D teams to improve product performance, scalability, reliability, and security.
Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality.
Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.