Q
Senior Forward Deployed Engineer
·Israel
On-siteFull-timeBackend DevelopmentIT ServicesBusiness Consulting
Join a global consulting firm to deploy and scale a next-generation AI platform that connects strategy to execution. You will bridge product engineering and client environments, ensuring production-grade deployments across cloud and hybrid infrastructures. Work with multidisciplinary teams to operationalize advanced AI systems and drive tangible impact for clients.
Responsibilities
- Own the platform delivery lifecycle, deploying and configuring production-grade systems across cloud and hybrid infrastructures (AWS, Azure, GCP).
- Validate performance, stability, and ensure structured handovers for long-term success.
- Work with containerized and distributed systems, including Kubernetes-based environments, ensuring reliability and operational stability.
- Troubleshoot issues end-to-end and ensure the platform is fully production-ready.
- Contribute to deployment tooling, automation, and product feedback loops to improve platform reliability and delivery.
- Collaborate with technical stakeholders to ensure environment readiness, resolve deployment challenges, and guide adoption through best practices.
- Document patterns, refine delivery practices, and support colleagues across engagements.
Requirements
- Bachelor’s or Master’s in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field.
- 4+ years of hands-on experience as a Software or Platform Engineer, with exposure to enterprise platform deployments.
- Strong engineering fundamentals with proficiency in Python and familiarity with modern full-stack development (e.g., React, NextJS).
- Experience designing, deploying, and managing cloud-based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks.
- Deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale.
- Experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm).
- Strong understanding of data architectures and platform design, including relational and graph databases (e.g., PostgreSQL, Neo4j), data pipelines, and system integration patterns.
- Strong problem-solving skills with a structured approach to debugging and resolving issues in complex, non-standard environments.
- Willingness to travel.
- Ability to communicate effectively with technical and non-technical stakeholders in client-facing settings, including delivering walkthroughs, documentation, and training.
Nice to have
- Familiarity with AI platform concepts, including model integration patterns, agentic workflows, and how AI-driven applications interact with underlying data and infrastructure.
- Experience with DevSecOps and infrastructure security practices (e.g., IAM/SSO, RBAC, secrets management, encryption).
- Experience with deployment standards, runbook development, and automation frameworks.
- Familiarity with observability, monitoring, and compliance tooling (e.g., Prometheus, Grafana, ELK) and experience working in secure or regulated environments.
Benefits
- Continuous learning and apprenticeship culture with structured programs.
- A voice that matters from day one, with ideas and contributions valued.
- Global community with colleagues across 65+ countries and 100+ nationalities.
- World-class benefits package, including competitive salary and holistic well-being support.