Professional Services Engineer, Software Developer
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Job Description
Senior engineer building AI-powered integrations between Cellebrite platforms and enterprise customer environments. Owning global deployment architecture, technical escalations, and services automation.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Up to 50% international travel (Americas, EMEA, APAC)
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