We're seeking a technology-driven and people-focused Platform Director to lead with innovation, adaptability, and a commitment to excellence in a dynamic, complex payment solutions environment.

Responsibilities:

• Build and lead new teams to develop a cutting-edge cross-border payment system, modernize infrastructure to support business growth, and deliver customer-focused solutions.
• Be an integral part of the management team, influencing strategy and decision-making.
• Mentor and grow managers, teams, and engineers while scaling the organization.
• Foster an agile work environment and ensure adoption of agile methodologies.
• Collaborate closely with Product, SRE, DevOps, Data, Operations, and other R& D teams to achieve business goals.
• Design robust technical solutions, evaluate architectural options, and define technical direction and quality standards.
• Promote a culture of innovation and personal development within the organization.
• Take ownership of team growth, recruitment, and development processes.

Requirements:

• A collaborative team player with strong leadership, communication, and interpersonal skills.
• Demonstrated ability to mentor, inspire, and build high-performing engineering teams.
• A passion for managing and growing talent.
• Ambition and a strong eagerness to learn and adapt.
• Strategic thinking with a strong problem-solving and analytical mindset.

What you will need:

• Overall Experience: 18+ years of experience in software engineering, including hands-on development and leadership roles.
• Education: A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
• Leadership: 5+ years of managerial experience, leading large development groups or overseeing R& D in small/medium companies.
• Development: 10+ years as a developer with full-stack experience (e. g., C#, . NET, Java).
• Technical Expertise: Proficiency with REST APIs, Queues, and Microservices architecture.
• Architectural Knowledge: Strong understanding of OOP, design patterns, and system development (not just services).
• Engineering Practices: Expertise in code reviews, test coverage, and agile methodologies.

Glilot, Israel 
Hybrid 
Full-time

What you’ll do:

• Lead the design, evolution and day-to-day ownership of Payoneer’s CI/CD delivery platform used across R&D 

• Architect and maintain high-performance, fault tolerant, scalable ALM systems – from version control, builds and deployments to monitoring, configuration management and release gates 

• Drive GitOps-based delivery and Kubernetes deployment patterns across public and private cloud environments 

• Build shared pipeline templates, reusable extensions and self-service tooling that let product teams ship safely without reinventing the wheel 

• Own delivery-platform SLOs and reliability – drive root-cause analysis, permanent fixes, and continuous improvements to build/deploy speed and stability 

• Partner with Security, SRE and Compliance to embed SAST/DAST/SCA and secret scanning 

• Work closely with product, QA, developers and IT/Operations to streamline their working methods and remove friction from the software delivery lifecycle 

• As a member of the team, participate in ‘On-Call’ duties on Payoneer production systems, working in non-conventional hours including weekends and holidays (from time to time), and lead major incidents when needed 

Who you are: 

• At least 5 years’ experience as a DevOps / Platform / Build & Release Engineer, with clear senior-level scope (cross-team initiatives, technical leadership, mentoring) 
• A minimum of 3 years of exposure running production workloads in public cloud (AWS, Azure or GCP) and hybrid environments 
• Strong experience designing and operating CI/CD platforms and ALM tooling (Azure DevOps strongly preferred; GitHub Actions / GitLab CI / Jenkins also relevant), including shared templates, custom tasks/extensions and source control management (Git, SonarQube, Artifactory/Harbor, etc.) 

• Proven experience with GitOps at scale (ArgoCD or Flux) and Helm-based delivery 

• Experience leveraging AI/LLM tooling (Cursor, Copilot, Claude Code, MCP) to accelerate delivery, and building AI-assisted automations into CI/CD pipelines and internal developer platforms 

• Strong experience with configuration management tools like Ansible, Chef or Puppet, and Infrastructure as Code (Terraform) 

• Proven scripting capabilities in PowerShell / Bash / Python, with a track record of building internal tools that remove toil for many teams 

• High level Linux OS expertise; comfortable also operating Windows server workloads 

• Programming experience (C#, NodeJS or similar) – you can contribute to real services, not just scripts 

• Experience managing application servers and web servers in regulated / mission-critical environments 

• Experience with monitoring and logging solutions (e.g. Prometheus, Grafana, ELK, Dynatrace)
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience

#LI-AG2

As a DevOps Infrastructure Engineer, you will operate and evolve Payoneer’s mission‑critical on‑premise and hybrid infrastructure that powers our financial services. You will be responsible for running secure, highly available VMware‑based data center environments, integrating them with public cloud platforms, and providing reliable infrastructure services to R&D, DataOps, and DevOps teams in a regulated FinTech environment.
This role combines hands‑on operations, automation, monitoring, infrastructure hardening, and close collaboration with security and application teams to ensure our platforms remain resilient, compliant, and ready to scale.

While titled DevOps, this is an infrastructure‑focused role, with an emphasis on operating and evolving on‑prem and hybrid platforms rather than application‑level CI/CD pipelines.

What you'll do:

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

As a Senior DevSecOps Engineer at Payoneer, you’ll play a critical role in embedding security throughout the software development lifecycle (SDLC). You’ll help design, implement, and maintain security controls and automations across our CI/CD pipelines, infrastructure, and application stack.

What you'll do:

• Integrate and maintain security tools across the CI/CD pipeline:
  • SAST (e.g., SonarQube)
  • SCA (Software Composition Analysis) / Dependency Scanning (e.g., Snyk, Trivy, GitHub Dependabot)
  • Secret Detection (e.g., Gitleaks, HashiCorp Vault)
  • Container/Image Scanning (e.g., Aqua, Prisma Cloud, Trivy)
• Drive security automation and enforcement for:
  • Infrastructure as Code (e.g., Terraform)
  • Configuration Management (e.g., Ansible, Chef)
  • GitOps workflows (e.g., ArgoCD)
  • Embed security guardrails and best practices across the SDLC
  • Automate compliance checks (e.g., OWASP Top 10, CIS Benchmarks) into development workflows
  • Integrate with observability and monitoring systems (e.g., Prometheus, Grafana, ELK, Coralogix)
• Collaborate cross-functionally with Product, QA, Development, and IT/Ops teams to continuously improve the security posture
• Participate in on-call rotations for production systems as needed

Who you are:

• At least 3 years’ experience as DevOps/DevSecOps/Security Engineer
• A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Proven experience securing CI/CD pipelines
• Expertise in SCA, SAST, secret scanning, and container security
• Hands-on experience with Kubernetes, Docker, and GitOps tooling (ArgoCD or Flux)
• Proven Scripting capabilities: (e.g. PowerShell/Bash/Python)
• Experience with logging, SIEM, and monitoring platforms
• Experience with IAM, secrets management, and compliance frameworks (SOC2, ISO, etc.)
• High level Linux OS expertise
• Strong troubleshooting skills
• Proactive by nature; internal drive for excellence and improvement
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experienc

Advantage:

• Experience with relational and non-relational databases (Oracle, PostgreSQL, SQL, MongoDB) Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ
• Knowledge and understanding Storage and Networking

#LI-AG2

We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role — you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.

What you'll do:

• Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
• Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
• Own end-to-end conversational journeys — from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
• Build and maintain prompt evaluation pipelines — designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
• Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices — helping establish Payoneer’s standards for responsible, effective AI Agent deployment.
• Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the team’s workflow.

Who you are:

• 3–4+ years of hands-on experience working with Large Language Models (LLMs) — including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
• English proficiency — Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
• Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
• Experience with AI Agent architectures and concepts — tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
• Strong analytical skills — comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management — able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service, contact center, or fintech environments.
• Experience with UX writing, content design, or conversation design as a discipline.
• Familiarity with AI safety, responsible AI frameworks, and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

#LI-AG2

Location: Gurugram - India 
Full-time

What You’ll Be Spending Your Time On:

• Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems
• Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams. 
• Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed. 
• Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements. 
• Proactively identify areas of improvement in team systems, processes, and scalability. 
• Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions. 
• Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach. 

Have You Done This Kind of Stuff:

• 4 - 6 years in backend software engineering roles, with demonstrated ability to navigate technical trade-offs and ambiguity effectively. 
• Extensive experience in C# and .Net ecosystem is a mandatory requirement. 
• Hands-on experience in SQL Server and database management 
• Experience with message queues or streaming platforms (e.g., RabbitMQ, SQS, Kafka). 
• Experience in writing unit test and strong knowledge of design principles, data structures and algorithms. 
• Experience with microservices architecture. 
• Experience in designing new functionality for existing complex components while maintaining scalability and performance. 
• Ability to collaborate effectively and communicate technical concepts to diverse stakeholders. 
• BSc/BE/B.Tech in Computer Science, Software Engineering, or equivalent degree 

Not a Must, but a Great Advantage:

• Practical experience with Agile development methodologies. 
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud). 
• Practical knowledge of non-relational databases (eg. MongoDB) 
• Experience in mentoring new hires and interns, fostering a culture of collaboration and best practices.

#LI-AK1

Israel
Hybrid
Full-time

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If you’re a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.

What You'll do:

As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.

• Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.

• Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.

• Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.

• Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.

• Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.

• Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

Who you are:

• The Experience: 7+ years in DevOps, SRE, or Platform Engineering, with at least 5 years specifically managing high-scale cloud production workloads (AWS / GCP).

• Orchestration: Deep expertise in Kubernetes and OCI container ecosystems.

• IaaC Mastery: Advanced scripting and deployment skills in Terraform (Crossplane is a major plus).

• CI/CD: Proven track record of designing and maintaining robust CI/CD pipelines to ensure seamless code-to-production workflows.

• Networking & Connectivity: Strong grasp of advanced networking concepts, including VPCs, Load Balancing, DNS, Service Mesh, and hybrid-cloud connectivity.

• Security & Compliance: Commitment to Security Best Practices - implementing "Security as Code," IAM least-privilege principles, container security, and secret management.

• Version Control: Expert-level proficiency with Git, including advanced branching strategies and repository management.

• Linux & Scripting: Strong Linux administration background with proficiency in Python, Bash, or PowerShell.

• Observability: Hands-on experience with Prometheus, Grafana, and ELK to diagnose and resolve complex production issues.

• Trouble Shooting: Fluent and comfortable working in the Linux terminal.

• Education: BS in Computer Science, Engineering, or equivalent practical "in-the-trenches" experience.

Advantage:

• Cloud Certified: AWS Professional level certifications (Solutions Architect or DevOps Engineer).

• Modern Delivery: Experience with GitOps workflows (ArgoCD or Flux).

• Messaging: Familiarity with Kafka or RabbitMQ.

• Legacy/Hybrid: Experience with VMware, SQL/NoSQL databases, or older SCM tools like TFVC.

• Dev Background: You’ve spent time on the "other side" writing software or working with dev frameworks.

#LI-AG2

What you'll do:

• Own the end-to-end technical health, stability, and scalability of operational systems and internal tools
• Manage and continuously optimize the Zendesk ticketing ecosystem, including workflows, integrations, and automation
• Lead the design and development of automated and self-service solutions to reduce manual effort and improve operational efficiency
• Own the resolution of complex technical issues, from investigation through root cause and permanent fix
• Plan and execute work within a two-week sprint cycle, balancing operational reliability with continuous improvement and innovation
• Design, build, and maintain system integrations and new platform capabilities supporting Operations and CX teams
• Leverage AI capabilities (including LLM-based applications and multi-agent systems) to enhance system intelligence and automate decision-making
• Identify manual, repetitive processes and transform them into scalable, AI-driven workflows
• Partner closely with Operations, Product, and Engineering stakeholders to translate business needs into technical solutions
• Ensure internal tools are reliable, observable, secure, and continuously evolving through proactive improvements and monitoring

Who you are:

• AI & Prompt Engineering: Proven experience leveraging cutting-edge AI tools and Large Language Models (LLMs) to accelerate development, automate complex tasks, and enhance solution quality. Must demonstrate an ability to craft sophisticated prompts and integrate AI outputs into functional workflows.
• Azure Platform Expertise: Hands-on experience building and managing solutions within the Azure ecosystem, specifically:
  • Function Apps (Serverless compute)
  • Automation Accounts (Process automation and configuration)
  • Logic Apps (Workflow orchestration)
  • Azure DevOps (Boards, Repos, and Pipelines)
• API Integration: Proven experience working with REST APIs to connect disparate systems and build cohesive technical ecosystems.
• Agile & Operations: Must have experience working within a formal ticketing system (ZenDesk, SF) and delivering work through structured sprints.
• Business Translation: A demonstrated ability to take high-level business requirements and architect the technical "how-to" from scratch.
• Problem Solving: Excellent analytical skills with a track record of troubleshooting complex environment issues independently.
• Ability to work independently and manage multiple tasks effectively
• Microsoft Power Platform: Experience with Power Apps or Power Automate.

Advantage:

• Data & Scripting: Advantage for candidates with strong proficiency in data manipulation and scripting (PowerShell, Bash, or SQL).
• Coding: Advantage Experience with Python coding is a significant plus.
• Familiarity with additional languages.

#LI-AG2

We are looking for an AI & Cloud FinOps Specialist to join our FinOps team and help drive cost efficiency, governance, and visibility across both cloud and AI environments.
This role combines traditional FinOps (Cloud and SaaS) with emerging AI cost management practices. The ideal candidate comes from a FinOps or cloud cost management background, with strong technical orientation and the ability to work closely with engineering teams.
Depending on experience and strengths, the role will focus on either:

1. building and owning AI FinOps capabilities
   OR
2. driving execution across cloud FinOps and vendor management

This is a high-impact role with both execution and ownership opportunities, working across engineering, finance, and procurement.

What you'll do:

• Monitor, analyze, and optimize cloud, SaaS, and AI-related spend (AWS / GCP / Azure, vendors, LLMs)
• Create visibility into usage, cost drivers, and efficiency metrics
• Identify and drive optimization of inefficiencies (e.g., underutilization, over-provisioning, inefficient usage, excess AI consumption)
• Work closely with engineering, DevOps, and data teams to translate usage into cost drivers and influence cost-aware architecture decisions
• Build or support dashboards, tools, and automation for cost visibility and monitoring
• Contribute to AI FinOps (governance, automation, agents) and/or Cloud/Vendor FinOps (vendor management, budgeting, forecasting)

Who you are:

• 2+ years of experience in FinOps, cloud cost management, or SaaS cost governance
• Hands-on experience working with cloud billing data and cost analysis
• Practical experience with pricing models, contracts, and billing structures (cloud, SaaS, or AI); experience with AI tools and token-based pricing is an advantage
• Strong ability to work with engineering and technical stakeholder
• Ability to understand and challenge usage patterns and technical decisions
• Solid understanding of:
  • cloud environments (AWS / GCP / Azure)
  • resource usage and billing models
  • APIs and system usage patterns
  • how technical decisions impact cost
• Strong analytical skills with the ability to translate data into clear insights and actions
• Demonstrated ownership mindset and ability to drive initiatives end-to-end

Advantage:

• Familiarity with AI tools, LLMs, or token-based pricing models
• Experience with FinOps tools or SaaS management platforms
• Experience working in cross-functional environments (engineering + finance + procurement)
• Experience building processes, dashboards, or automation tools

#LI-AG2