Professional Services Engineer (SW Developer)

Commit; Warszawa; On-site; PLN 240,000 - 360,000; Full time

Job summary

Commit is seeking a Professional Services Engineer (SW Developer) to serve as a senior technical leader at the intersection of software engineering, AI, and professional services. You will own the technical backbone of the Field Deployment Engineering program and build custom integrations for complex customer environments.

You will act as internal escalation authority for deployments, drive AI-powered automation across the global services organization, and travel up to 50% to the Americas, EMEA,

Qualifications

• Backend engineering with 7+ years, Python preferred (Node.js / Java accepted)
• REST APIs, webhooks & data-pipeline integration experience
• Practical AI/ML with LLMs, agentic workflows and production AI tooling
• Cloud infrastructure knowledge (AWS / Azure / GCP), Docker / Kubernetes, CI/CD
• Professional services background including field engineering and enterprise customer delivery
• Experience with enterprise data environments (SQL/NoSQL, ETL)
• Strong customer engagement skills and ability to travel up to 50%
• Leadership: influence and mentoring in distributed teams

Responsibilities

• Own technical definition, scoping methodology and quality standards for the FDE program across global regions
• Partner with regional directors to scope engagements, define solution architectures and ensure feasibility
• Travel onsite to lead scoping workshops, architecture sessions and deployment reviews
• Build reusable FDE frameworks, templates and tooling across regions
• Design, develop and deliver custom integrations connecting Cellebrite platforms with customer environments
• Engage with enterprise customers to co-design solutions and validate outcomes in the field
• Translate complex customer requirements into robust technical solutions
• Maintain a library of reusable components and accelerators
• Act as final escalation point for deployment challenges and architectural questions
• Collaborate with R&D and Product to bridge field realities with product capabilities
• Identify and build AI-powered tools to improve efficiency and quality across services lifecycle
• Apply AI/ML techniques to internal processes and enable workflow automation
• Champion continuous improvement through engineering

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