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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams to deliver data-intensive SaaS products, with a strong focus on architecture, operational excellence, and team development. Proficient in full-stack development and AI-driven capabilities, ensuring high standards for system performance and quality.
Highest-signal resume keywords
Tech Lead ExperienceFull-Stack DevelopmentNode.jsTypeScriptAI/LLM Engineering Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Node.jsTypeScriptReactGraphQLMongoDBK8sGCPPerformance OptimizationIncident ResponseData Quality
Soft Skills
Team ManagementMentoringCollaborationProduct JudgmentTrust Building
Industry Keywords
SaaSData-Intensive SystemsOperational ExcellenceEngineering MaturityAI-Driven Capabilities
Tech Stack
Tools & technologiesGoogle Cloud PlatformGraphQLJavaScriptKubernetesMongoDBNode.jsReactTypeScript
About the role
Key responsibilities & impact- Lead engineering for data-intensive reporting and integration products
- Turn product strategy into delivery plans and shipped outcomes
- Partner closely with Product Management to solve customer problems and deliver value
- Make architecture decisions supporting efficient partner operations at scale
- Build alongside the team in Node.js, TypeScript, React, GraphQL, MongoDB, K8s, and GCP
- Raise operational excellence and engineering maturity
- Own team development, performance management, and hiring for a team of 8+ engineers
- Establish context, trust, and team-management ownership during the first three months
- Shape roadmaps and drive technical solutions by month six
- Report to the VP of Engineering
- Collaborate with Product Management and Design
- Act as the link between engineering execution and business strategy
Requirements
What you’ll need- Proven hands-on Tech Lead or Engineering Manager experience with a product team
- Track record of shipping and running large-scale, data-intensive SaaS systems
- High standards for availability, latency, and data quality
- Full-stack competence with Node.js, TypeScript, React, GraphQL, MongoDB, K8s, and GCP
- Experience operating production systems, including observability, incident response, and performance optimization
- Strong product and engineering judgment
- Experience mentoring engineers, setting high standards, and scaling delivery systems
- Practical, production-grade AI/LLM engineering experience or strong ability to ramp quickly
- Experience shipping AI-driven capabilities safely
- Ability to use AI tools and design or optimize agent harnesses
- Ability to work from the Helsinki office 2–3 days a week
Benefits
Comp & perks- Flexible hybrid work setting
- Extensive healthcare
- Office gym and swimming pool
- Autonomy and trust without micromanagement
- Psychologically safe, supportive, and kind work environment
- Opportunity to work on a product with measurable impact against cybercrime
