Professional Services Engineer, Software Developer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Take ownership of the technical definition, scoping methodology, and quality standards for the Field Deployment Engineering program on a global scale.

• Collaborate with regional directors and delivery teams across the Americas, EMEA, and APAC to define engagements, outline solution architectures, and ensure technical feasibility.

• Travel to client sites to lead scoping workshops, architecture discussions, deployment evaluations, and critical customer interactions.

• Develop reusable FDE frameworks, templates, and tools that can be scaled across various regions.

• Design, develop, and implement custom integrations, workflows, and extensions that connect Cellebrite platforms with customer environments.

• Work directly with enterprise clients to co-create solutions and confirm technical outcomes in real-world settings.

• Convert intricate customer requirements into solid, maintainable technical solutions.

• Maintain a repository of reusable solution components and accelerators.

• Act as the final internal escalation point for complex deployment issues, architectural inquiries, and technical impediments raised by global field teams.

• Carry out architecture reviews for non-standard and highly complex implementations.

• Collaborate with R&D and Product teams to align field realities with product capabilities.

• Identify and develop AI-driven and automated tools to enhance the efficiency, consistency, and quality of global service delivery.

• Utilize modern AI/ML techniques, including LLM-based tools, agents, and workflow automation, in internal service processes.

• Promote continuous improvement through engineering practices.

⛳️ Requirements

• A minimum of 7 years of experience in backend engineering.

• Proficiency in Python is preferred; experience in Node.js or Java is also accepted.

• Demonstrated experience in building and integrating REST APIs, webhooks, and data pipelines.

• Practical experience with AI/ML, including LLMs (OpenAI, Anthropic), agentic workflows, and production AI tools.

• Familiarity with cloud infrastructure such as AWS, Azure, or GCP.

• Knowledge of Docker, Kubernetes, and CI/CD practices.

• A background in professional services, particularly in field engineering, solutions consulting, or customer-facing delivery.

• Experience in scoping and architecting solutions for enterprise clients.

• Knowledge of enterprise data environments, including SQL/NoSQL, data transformation, and ETL processes.

• Capability to conduct executive briefings and technical sessions.

• Willingness to travel up to 50% of the time.

• Leadership skills, including the ability to influence without authority and mentor engineers in distributed teams.

• Experience in digital investigations, public safety, law enforcement, or the intelligence technology sector is a plus.

• Familiarity with Salesforce, Gainsight, or other Customer Success/Professional Services operations platforms is a plus.

• Experience in designing or delivering training/enablement programs for technical audiences is a plus.

• Background in supporting customers across different regions with varying compliance, legal, and operational requirements is a plus.

🏝️ Benefits

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