Skai

About Skai Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to combine data intelligence with performance media, enabling smarter decision-making, increased efficiency, and maximized returns for businesses around the world. Its partners include Google, Meta, Amazon, Microsoft, and more. Approximately $10 billion in ad spending is managed on the Skai platform every year. Established in 2006, we're 700 employees strong. We work hybrid, with a great home/office mix. What will you do? As the Senior DevOps Architect, you will own the architectural direction of Skai's cloud infrastructure, engineering platforms, and developer experience across our Cloud and DevEx groups. Combining infrastructure expertise with hands-on software engineering, you will turn business and engineering needs into technical roadmaps and production solutions, including AI services and agents for internal and external-facing systems. As part of your work you will be responsible for: Own the technical roadmap and architecture across DevOps and DevEx, establish shared standards, and lead initiatives from design to production through hands-on implementation. Architect scalable, secure, and resilient cloud infrastructure, covering Kubernetes, networking, infrastructure as code, and modernization. Design shared platforms and self-service workflows that simplify development, CI/CD, deployment, and troubleshooting. Define architectural standards for observability, availability, disaster recovery, and capacity planning. Architect and contribute to production AI services and agents, including system integration, evaluation, security, and reliable operation. Align priorities with R&D, Product, and Security, resolve cross-team dependencies, and mentor engineers and technical leads. Requirements 3+ years experience as DevOps Architect, owning architecture and leading technical initiatives across multiple teams, with 8+ years of overall experience in infrastructure, DevOps, platform engineering, or software engineering. 5+ years of hands-on programming experience in languages such as Python, Go, or Java, including designing and maintaining production services, APIs, or shared engineering tools. Demonstrated experience architecting distributed production systems, including defining service boundaries, selecting technologies, documenting trade-offs, and leading implementation and migration. Deep expertise in at least one major cloud platform AWS, GCP, or Azure and hands-on experience with Kubernetes, infrastructure as code tools such as Terraform, and CI/CD or GitOps tooling such as Jenkins, GitHub Actions, or Argo CD. Experience designing developer platforms, reusable infrastructure components, and self-service workflows adopted by multiple engineering teams. Strong understanding of networking, cloud security, observability, high availability, and disaster recovery, supported by experience operating and troubleshooting production systems. Proven experience building and deploying AI services and agents to production, including model integration, orchestration, tool calling, evaluation, and integration with internal or external systems. Experience defining technical requirements with stakeholders, presenting architectural proposals, and leading cross-team decisions through implementation and adoption. Advantages: Experience designing and operating data infrastructure, including streaming, workflow orchestration, and large-scale processing with technologies such as Kafka, Airflow, or Spark. Experience with database, data warehouse, or data lake architecture and operations, including performance tuning, capacity planning, backup and recovery, and data reliability. Experience building shared AI platforms or delivering both internal automation agents and customer-facing AI services.

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company operating in a hybrid work model that combines remote flexibility with in-office collaboration. We continuously modernize our stack to handle commerce decisions at a massive global scale. What will you do? As the Infrastructure Engineering Lead, you will own the technical direction, architecture, and delivery of Skai's core production data infrastructure (MySQL, SingleStore, Snowflake, Airflow, and Microservices). In this role, you will balance in-house, open-source, and SaaS solutions to manage petabyte-scale data while ensuring system reliability, scalability, and cost-efficiency. You will blend hands-on engineering, technical architecture, vendor management, and team mentorship. You will lead cross-functional delivery, drive operational excellence across a 24/7 production environment, and set engineering guardrails for cloud-based data systems across the company. Responsibilities: Technical Leadership & Architecture: Set engineering guardrails, lead architectural reviews, lead the pod's daily, and balance design tradeoffs for cloud-based data systems across all business units. Execution & Delivery: Own the pod's Scrum processes (epics, stories, tracking), balance technical debt management with rapid feature delivery, and drive multi-project execution. Hands-on Engineering & Escalations: Stay active in code and infrastructure, serving as the primary technical escalation point for complex, 24/7 production issues. Ops, High Availability & Reliability: Oversee operational readiness, rotation schedules, high availability (HA), backup and recovery processes, and automation to maintain 24/7 production uptime. Mentorship & Team Culture: Raise the technical bar, foster a culture of engineering excellence, mentor team members, and drive professional growth within the pod. Stakeholder & Vendor Alignment: Act as a strategic partner to align roadmap planning, bridge technical execution with business goals, and serve as the main point of contact for data infrastructure vendors. Requirements 5+ years of proven experience in a DBA, DevOps, DataOps, or Data Engineering role with deep hands-on ownership of production databases (e.g., MySQL, SingleStore, PostgreSQL). Proven track record in designing, operating, and maintaining large-scale data infrastructure (capacity planning, performance tuning and upgrades, monitoring, CI/CD (Jenkins/GHA/ArgoCD)). Strong software engineering capabilities in Python, Java, or Go within a microservices architecture, as well as Bash scripting. Hands-on expertise with Linux environments and at least one major cloud provider (AWS preferred). Demonstrated experience in leading technical design reviews, setting engineering guardrails, and mentoring engineers. Strong analytical problem-solving skills with a data-informed approach to resolving complex, cross-system production issues in a 24/7 environment. Exceptional communication, teamwork, and stakeholder management skills. Advantages: Experience with modern Big Data technologies at scale (e.g., Snowflake, Kafka, Spark). Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or Ansible. Previous experience as a Tech Lead, Team Lead, or Acting Lead on a mission-critical production team. Working with AI tools / integrating AI into engineering and operational workflows.

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company with around 650 employees. We operate in a hybrid work model that combines remote flexibility with in-office collaboration. What will you do? As an AI Engineer, your primary focus will be delivering working features while adopting a Builder Mindset to shape the future of software development at Skai. You will leverage cutting-edge GenAI tools (such as Claude Code and others) to accelerate development, streamline workflows, and bring high-quality, production-ready features to life. In this role, you will work closely with PMs, designers, and fellow engineers across frontend, backend, and data domains. You will use AI to tackle complex debugging, conduct research, and eliminate repetitive tasks—continuously improving your productivity while delivering functional, impactful features within your pod. Responsibilities: Feature Delivery: Own and deliver working features from end to end, contributing production-ready code with guidance and driving tangible product value. AI-Accelerated Development: Utilize GenAI tools (e.g., Claude Code) to accelerate feature development, improve personal productivity, and optimize daily workflows. Problem Solving & Debugging: Leverage AI for rapid debugging, technical research, and reducing repetitive manual work during feature delivery. Cross-Domain Collaboration: Build a solid understanding across product, frontend, backend, and data domains, collaborating effectively with PMs, designers, and engineers. Context & Documentation: Document technical decisions clearly and contribute to building shared team context and knowledge bases. Continuous Learning & Adaptability: Learn the tech stack quickly, adapt smoothly to new tools/workflows, and actively apply feedback to grow as a builder. Pod Reliability: Act as a dependable, collaborative contributor within your pod, helping drive team momentum and execution. Requirements 2–5 years of experience in software development. Relevant Academic Degree (B.Sc. in Computer Science, Software Engineering, or related fields) OR Relevant Military Experience (e.g., tech/intelligence units such as 8200, Mamram, Ofek, etc.). Builder Mindset: Strong passion for GenAI tools (such as Claude Code, etc.) and a proven desire to integrate them into daily coding workflows. Ability to quickly learn new tech stacks, adapt to changing tools, and translate feedback into rapid growth. Strong cross-domain curiosity - eager to understand product context, backend logic, frontend UX, and data flow. Excellent communication skills and a strong collaborative mindset in a hybrid working environment.