Professional Services Engineer, Software Developer

🕒 il y a 1 mois

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 21%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Commit

Site WebLinkedInTous les Emplois

501 - 1000 employés

🔒 Cybersecurity

Cybersecurity

Commit est une entreprise internationale de services technologiques avec des bureaux en Israël, aux États-Unis, au Canada, au Royaume-Uni et en Europe.

Description

• Own the technical definition, scoping methodology, and quality standards for the Field Deployment Engineering program globally • Partner with regional directors and delivery teams across the Americas, EMEA, and APAC to scope engagements, define solution architectures, and ensure technical feasibility • Travel onsite to lead scoping workshops, architecture sessions, deployment reviews, and high-stakes customer engagements • Build reusable FDE frameworks, templates, and tooling that scale across regions • Design, develop, and deliver custom integrations, workflows, and extensions connecting Cellebrite platforms with customer environments • Engage directly with enterprise customers to co-design solutions and validate technical outcomes in the field • Translate complex customer requirements into robust, maintainable technical solutions • Maintain a library of reusable solution components and accelerators • Serve as the final internal escalation point for complex deployment challenges, architecture questions, and technical blockers raised by global field teams • Conduct architecture reviews for non-standard and high-complexity implementations • Collaborate with R&D and Product to bridge field realities with product capabilities • Identify and build AI-powered and automated tools to improve the efficiency, consistency, and quality of global services delivery • Apply modern AI/ML techniques, including LLM-based tooling, agents, and workflow automation, to internal services processes • Champion continuous improvement through engineering

🎯 Exigences

• 7+ years of backend engineering experience • Python preferred; Node.js or Java accepted • Experience building and integrating REST APIs, webhooks, and data pipelines • Practical AI/ML experience, including LLMs (OpenAI, Anthropic), agentic workflows, and production AI tooling • Experience with cloud infrastructure: AWS, Azure, or GCP • Experience with Docker, Kubernetes, and CI/CD • Professional services background in field engineering, solutions consulting, or customer-facing delivery • Experience scoping and architecting solutions with enterprise customers • Experience with enterprise data environments, including SQL/NoSQL, data transformation, and ETL • Ability to conduct executive briefings and technical sessions • Willingness to travel up to 50% • Leadership skills, including influence without authority and mentoring engineers in distributed teams • Digital investigations, public safety, law enforcement, or intelligence technology sector experience is nice to have • Experience with Salesforce, Gainsight, or other CS/PS operations platforms is nice to have • Experience designing or delivering training/enablement programs for technical audiences is nice to have • Experience supporting customers across multiple regions with varying compliance, legal, and operational requirements is nice to have

🏖️ Avantages

• Up to 50% international travel (Americas, EMEA, APAC)