Vacancies

About the role

We are looking for a strong QA Automation Engineer with a clear backend orientation and the ability to work across the full stack.

The ideal candidate has solid programming skills, strong analytical thinking, and hands-on experience designing and maintaining automated tests for backend services, APIs, integrations, UI flows, and E2E business scenarios. This role is primarily focused on backend and complex system validation, but requires someone who can understand the complete product flow, from user behavior and frontend interaction to backend processing, data, services, and integrations.

We are looking for a hungry, self-motivated, and self-learning engineer who takes ownership, asks the right questions, and continuously improves both the product and the testing approach.

Key Responsibilities:

• Design, develop, and maintain automated test suites for backend services, APIs, integrations, and E2E business flows.
• Build reliable and maintainable automation using Python, PyTest, TypeScript, Playwright, Cypress, and relevant testing frameworks.
• Validate RESTful APIs, service integrations, data flows, backend processes, frontend behavior, and critical user journeys.
• Analyze product requirements, architecture, technical designs, and customer use cases, and translate them into effective test scenarios.
• Understand complex user and system flows to identify risks, coverage gaps, edge cases, and critical validation points.
• Collaborate closely with developers, QA engineers, DevOps, product owners, project managers, and other stakeholders throughout the product SDLC.
• Work effectively in Agile environments, including refinement, planning, estimation, execution, demos, and retrospectives.
• Integrate automated tests into CI/CD pipelines using tools such as Jenkins, GitLab, or similar platforms.
• Investigate test failures, analyze logs and system behavior, report defects clearly, and support root-cause analysis processes.
• Participate in code reviews and contribute to improved code quality, testability, and automation standards.
• Support testing of performance, stability, scalability, and resilience where relevant.
• Take ownership of assigned areas, proactively identify quality risks, and drive improvements in automation coverage and testing practices.
• Continuously learn new tools, technologies, and testing approaches, and apply them where they create value.

Requirements:

• Proven experience in QA automation.
• Strong programming skills in Python.
• Hands on experience with PyTest or similar Python testing frameworks.
• Hands on experience writing E2E and UI automation tests using Playwright and/or Cypress with TypeScript or JavaScript.
• Strong understanding of RESTful APIs and backend testing practices.
• Strong understanding of testing methodologies.
• Experience testing complex systems, integrations, services, data flows, user flows, or distributed environments.
• Ability to work across the full stack while maintaining a strong backend testing focus.
• Strong customer orientation and the ability to understand product behavior from the user’s perspective.
• Experience working in Agile development environments.
• Good understanding of the product SDLC and the role of QA throughout the development lifecycle.
• Experience working with CI/CD pipelines and tools such as Jenkins, GitLab, or similar.
• Good understanding of databases and ability to work with SQL.
• Strong debugging, analytical, and problem-solving skills.
• High ownership, self-motivation, curiosity, and ability to learn independently.
• Ability to understand technical requirements, architecture, and system behavior.
• Strong communication and collaboration English (Upper-Intermediate+) skills.
• BSc in Computer Science, Engineering, or equivalent practical experience.

Nice to Have:

• Experience with load, performance, stability, or resilience testing.
• Experience with Docker, containers, or cloud-based environments.
• Experience with test reporting tools such as Allure or Xray.
• Manual QA background.
• Experience working in medical, laboratory, healthcare, regulated, or enterprise systems.
• Familiarity with AI assisted development or testing tools.

The role includes:

Installation, management, and maintenance of information security / cyber defense and networking products such as: NAC, GoAnywhere, FW, Skybox, and Intelligent systems. The role also requires implementing routine information security processes and providing Tier 2 + Tier 3 support to IT contacts at the company’s various branches in Israel and worldwide.

Requirements:

– *Required* – At least two years of experience in networking / firewall maintenance, in an environment of 500+ users.

– Advantage – familiarity with Microsoft systems, Group Policy, Active Directory.

– Advantage – working with and maintaining systems in a Cloud environment.

– Advantage – familiarity with Check Point FW.

– Advantage – familiarity with networking systems (CISCO, Proxy).

– Availability outside regular working hours.

– Advantage – experience working with global companies.

– High-level English.

– Advantage – additional languages.

Required skills:

Ability to manage projects, good time-management skills and the ability to work independently, strong self-learning ability, ability to handle multiple tasks simultaneously, high-level English, teamwork skills, good interpersonal skills, strong service orientation.

About the Role 

We are looking for an experienced SOC Analyst to join our global Security Operations Center. In this role, you will investigate complex security incidents, work with advanced automation, and help protect a large, industrial enterprise operating in more than 60 countries.

You will be responsible for monitoring, managing, and improving our security technologies – including SIEM , SOAR (XSOAR), EDR , firewalls, email security (Mail relay), and other security platforms. You will work closely with other security, IT, and business teams to detect, respond to, and contain threats across our global environment.

Responsibilities:

-Perform real-time monitoring, triage, and investigation of security alerts and incidents in a global environment.

-Conduct in-depth analysis of complex security events and incidents, including root cause analysis and impact assessment.

-Operate and maintain security platforms such as: SIEM \ SOAR \ EDR \ Firewalls \ Email Security.

-Develop, improve, and maintain detection rules, correlation logic, and automated response playbooks across SIEM and SOAR.

-Perform proactive threat hunting across endpoints, network, and email to identify advanced or hidden threats.

-Create clear, structured incident reports, technical documentation, and management summaries.

Requirements:

-1+ years of hands-on experience in a SOC, Incident Response, or similar security operations role.

-Proven experience working with : SIEM \ SOAR \EDR \ Firewalls \ Email Security.

-Strong skills in investigating complex security incidents across multiple systems and log sources.

-Ability to create incident reports, technical documentation, and summaries for different audiences (technical and management).

-Ability to work in a global environment, collaborating with distributed teams across multiple countries and time zones.

-Strong communication skills in English (spoken and written).

Nice to have:

-Industry certifications in security operations or incident response (e.g., Security+, CySA+, SC-200, GIAC GCIH/GCIA, Cortex XSOAR, Splunk, CEH).

-Experience with scripting or automation (Python, PowerShell, KQL) for investigations, data enrichment, or playbook customization.

About the role
We are seeking a Senior DevOps Engineer to join our infrastructure team, reporting directly to our DevOps Team Leader. This role will partner with engineering leadership to drive advanced infrastructure initiatives end-to-end—from system design through production hardening – setting the technical bar for operational excellence across the company.

The immediate challenge: Vetric operates a high-volume, multi-account AWS. You will solve complex delivery, scaling, and operational problems along the way.

Responsibilities:

• Drive Cloud & Migration Strategy: Work under the guidance of our DevOps Team Leader to architect and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
• Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
• Architect Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
• Scale Data-Intensive Infrastructure: Oversee the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
• Enforce Reliability & Observability: Enforce organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
• Balance Growth & Governance: Make high-impact technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency

Requirements:

• 5+ years of hands-on DevOps, Infrastructure, or Cloud Engineering experience, with real production ownership in high-throughput, data-intensive environments.
• Deep Cloud Expertise: Advanced knowledge of AWS architectures, including compute, networking (VPC, DNS, segmentation), IAM, and scalability patterns.
• Production Kubernetes Mastery: Strong, hands-on expertise designing, running, and optimizing Kubernetes clusters (EKS) at production scale under heavy load.
• IaC & Automation Proficiency: Expert-level experience with Terraform and solid scripting/software engineering skills in Python, Go, or TypeScript, plus confident Bash.
• Container & Pipeline Ownership: Deep familiarity with container workloads (ECS/Docker) and modern CI/CD systems (GitHub Actions) using safe rollout strategies.
• Observability at Scale: Proven track record of designing and operating robust observability and alerting stacks (metrics, logs, traces, SLOs).
• Collaborative Leadership: Pragmatic, clear communicator who thrives in a high-velocity, autonomous team environment and builds trust through sound technical judgment.

Nice to Have:

• Direct experience leading an ECS-to-Kubernetes migration in a production environment.
• Deep knowledge of EKS ecosystem tooling (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
• Experience operating analytical or wide-column databases at scale (ClickHouse, ScyllaDB)

Why this role

This is an opportunity to join a newly established Technology Transformation function at a highly specialised quantitative financial services firm — at the moment it is being built. You will work directly alongside the Head of Technology Transformation, building automation solutions, integrating systems, and helping shape how the firm operates technically for years to come.

The role sits at the intersection of engineering and business impact. You will not be maintaining legacy code in isolation — you will be building new things that people use every day, in an environment where the quality of your work is visible and the feedback loop is short.

This role suits a mid-level engineer who is energised by variety, takes ownership of their work, and wants to grow into a senior position in a firm where that path is real.

Role mission

Design and implement automation solutions, system integrations, and productivity tooling that improve operational efficiency and data workflows across the firm.

The role works closely with the Head of Technology Transformation and collaborates across internal teams to deliver practical solutions — from workflow automation and data pipelines to AI tooling and system integrations. This is a hands-on engineering role with a collaborative dimension: you will build things yourself and work with others to ensure they are adopted effectively.

Responsibilities: 

1. Automation Development

Design and implement solutions across:

• Workflow automation for internal operational processes
• Document and data processing automation
• Automated reporting and knowledge management workflows
• Integration between internal systems and third-party platforms

2. System Integration

Build and maintain integrations between:

• Internal valuation and operational systems
• Databases and data infrastructure
• Cloud environments and third-party SaaS tools
• APIs and data pipeline components

3. AI & Automation Tooling

• Support the implementation of AI productivity tools across the firm
• Contribute to internal knowledge automation and data enrichment workflows
• Evaluate and prototype new automation platforms and AI integrations
• Help ensure reliability and maintainability of deployed AI solutions

4. Technical Implementation & DevOps

• Build APIs and backend integrations to specification
• Support data architecture improvements alongside the Head of Technology and Chief Quant
• Contribute to DevOps and deployment pipelines where required
• Participate in cloud migration planning and execution as the firm moves off on-premises infrastructure

5. Collaboration & Adoption

• Work closely with internal operational teams to understand workflow pain points and translate them into technical solutions
• Collaborate with the core development team on integration points and system compatibility
• Support adoption of new tools — documentation, training, and iteration based on feedback

Requirements:

We are looking for a mid-level engineer with 4–7 years of hands-on experience building automation and integration solutions. Relevant backgrounds include DevOps engineering, automation engineering, data engineering, backend development, or cloud engineering.

• Strong Python skills — this is the primary language for automation and data work at the firm
• Solid experience with APIs and system integrations — REST, webhooks, data connectors
• Hands-on experience with workflow automation tools (e.g. n8n, Zapier, Airflow, or similar)
• Experience building and maintaining data pipelines
• Familiarity with cloud environments (AWS, Azure, or GCP) — active cloud experience or strong motivation to develop it
• Practical experience implementing or working alongside AI tools in a professional context
• Understanding of DevOps practices and deployment pipelines

Personal Profile

• Hands-on and delivery-oriented — takes ownership of tasks from start to finish
• Collaborative by default — works well across technical and non-technical teams without friction
• Curious and self-directed — keeps up with developments in automation and AI tooling and brings ideas to the table
• High attention to detail and quality — understands that reliability matters in a financial services environment
• Ambitious — looking to grow technically and take on increasing responsibility over time