Professional Services Engineer (SW Developer)

Commit; Warszawa; On-site; PLN 260,000 - 380,000; Full time

Job summary

Commit's Global Services & Customer Engagement team is hiring a Professional Services Engineer (SW Developer) to own the technical backbone of the FDE program, build custom integrations, and lead deployment reviews across regions. A senior, customer-facing role with travel up to 50%.

You will collaborate with R&D and Product to design scalable solutions and apply AI-powered automation to improve service delivery worldwide.

Qualifications

• Backend engineering with 7+ years of experience; Python preferred (Node.js/Java accepted).
• Experience with REST APIs, webhooks, and data-pipeline integration.
• Practical AI/ML experience with LLMs, agentic workflows, and production AI tooling.
• Cloud infrastructure across AWS/Azure/GCP; Docker and Kubernetes; CI/CD.
• Professional services background with field engineering and enterprise customer engagements; scoping & architecting.
• Experience with SQL/NoSQL data environments and ETL.
• Strong customer engagement and communication; travel up to 50%.
• Leadership: influence without authority; mentoring distributed engineers.

Responsibilities

• Own the Technical Ownership of the FDE program across global regions.
• Define scoping methodology, quality standards, and solutions with regional teams.
• Travel onsite to lead workshops and deployment reviews; build scalable FDE frameworks.
• Design, develop, and deliver custom integrations and workflows connecting platforms with customer environments.
• Engage directly with enterprise customers to co-design solutions and validate outcomes in the field.
• Collaborate with R&D and Product to align field realities with product capabilities.
• Identify AI-powered automation opportunities to improve delivery quality and efficiency.
• Act as final escalation point for deployment challenges and architecture questions.

Skills

Backend engineering

REST APIs

AI/ML (LLMs)

Cloud infrastructure

Professional services

SQL/NoSQL data environments

Customer engagement

Leadership

Tools

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Job description

The company is Global Services & Customer Engagement organization is hiring a Professional Services Engineer (SW Developer) — a senior technical leader at the intersection of software engineering, AI, and professional services. Reporting to the Services Director, the engineer owns the technical backbone of the Field Deployment Engineering (FDE) program, builds custom integrations for complex customer environments, serves as the internal escalation authority for challenging deployments, and drives AI-powered automation across the global services organization. Globally-scoped, customer-facing, up to 50% international travel (Americas, EMEA, APAC).

Responsibilities:

FDE Program — Technical Ownership

• Own technical definition, scoping methodology, and quality standards for the FDE program across all global regions
• Partner with regional directors and delivery teams (Americas, EMEA, APAC) to scope engagements, define solution architectures, and ensure technical feasibility before commitments
• Travel onsite to lead scoping workshops, architecture sessions, and deployment reviews
• Build reusable FDE frameworks, templates, and tooling that scale across regions

Software Engineering & Customization

• Design, develop, and deliver custom integrations, workflows, and extensions connecting Cellebrite platforms with customer environments (APIs, data pipelines, automation layers)
• 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

Technical Escalation & Architecture

• Final internal escalation point for complex deployment challenges, architecture questions, and technical blockers raised by field teams globally
• Travel to customer sites for high-stakes engagements
• Conduct architecture reviews for non-standard / high-complexity implementations
• Collaborate with R&D and Product to bridge field realities with product capabilities

Internal Automation & Process Innovation

• Identify and build AI-powered and automated tools improving efficiency, consistency, and quality of services delivery globally
• Apply modern AI/ML techniques — LLM-based tooling, agents, workflow automation — to internal processes across the services lifecycle
• Champion continuous improvement through engineering

Requirements:

Must-have skills:

• Backend engineering — 7+ yrs, Python preferred (Node.js / Java accepted) (20%)
• REST APIs, webhooks & data-pipeline integration — building and integrating (15%)
• Practical AI/ML — LLMs (OpenAI, Anthropic), agentic workflows, production AI tooling (15%)
• Cloud infrastructure — AWS / Azure / GCP, Docker / Kubernetes, CI/CD (12%)
• Professional services background — field engineering, solutions consulting, customer-facing delivery; scoping & architecting with enterprise customers (12%)
• Enterprise data environments — SQL / NoSQL, data transformation, ETL (10%)
• Customer engagement & communication — exec briefings to technical sessions; up to 50% travel (8%)
• Leadership — influence without authority, mentoring engineers in distributed teams (8%)

Nice-to-have skills:

• Digital investigations, public safety, law enforcement, or intelligence technology sectors
• Salesforce, Gainsight or other CS/PS operations platforms
• Designing or delivering training / enablement programs for technical audiences
• Supporting customers across multiple regions with varying compliance, legal, and operational requirements