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Fivetran

Lead Full Stack Engineer

Fivetran

. Set technical direction for Cloud Signals systems, including architecture, design documentation, and staged technical plans .

Posted 11/4/2026full-timeRemote • SerbiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating distributed systems and backend services, with a strong focus on data integrity and correctness. Proven ability to lead technical direction, mentor engineers, and effectively communicate complex technical concepts to diverse teams.

Highest-signal resume keywords
Technical LeadershipDistributed Systems DesignEvent-Driven ArchitecturesCloud Infrastructure ManagementAPI Development and Integration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentData ModelingRelational DatabasesInfrastructure as CodeObservabilityIncident ManagementData IntegrityIdempotencyCloud Data WarehousingBilling Integration
Soft Skills
MentoringCommunicationCollaborationProblem-SolvingTechnical Documentation
Tools & Technologies
AWSDockerKubernetesTerraformKafkaSnowflakeFivetranDbtAI Coding AssistantsETL/ELT
Industry Keywords
Cloud Signals SystemsEvent PlatformNotification SystemUsage PipelinesTelemetryAnalytics PipelinesPost-Merger System IntegrationZero-Downtime MigrationsSLOsBlameless Postmortems

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerETLKafkaKubernetesSDLCSnowflakeTerraform

About the role

Key responsibilities & impact
  • Set technical direction for Cloud Signals systems, including architecture, design documentation, and staged technical plans
  • Lead the Fivetran and dbt billing integration, including data models, usage pipelines, reconciliation, and migration strategy
  • Evolve Vortex into a reliable, cost-efficient, scalable event platform
  • Grow the Notification System into a dependable shared service
  • Collaborate with Product, Finance, RevOps, Data, and partner engineering teams across both companies
  • Prototype solutions and fill gaps in specifications before committing to a direction
  • Define SLOs, improve alerting and runbooks, participate in on-call, and lead incident response and blameless postmortems
  • Mentor engineers at every level and provide code and design reviews
  • Promote effective and responsible use of AI tools in the software development lifecycle
  • Partner with engineering leadership on roadmap, staffing, and build-versus-buy decisions across teams, departments, and time zones

Requirements

What you’ll need
  • 8+ years building and operating production software, with a track record of technical leadership on large, cross-team projects
  • Deep experience designing distributed systems and backend services, with a strong focus on correctness, idempotency, and data integrity
  • Hands-on experience with event-driven architectures and high-volume streaming or messaging systems such as Kafka
  • Strong knowledge of relational databases and data modeling, plus experience with cloud data warehouses such as Snowflake
  • Proven ability to design, build, and consume APIs and integrate with third-party systems
  • Production experience with at least one major cloud provider, preferably AWS
  • Production experience with containers and orchestration, including Docker and Kubernetes
  • Production experience with infrastructure as code, including Terraform
  • Strong operational mindset, including observability, SLOs, on-call, incident management, and zero-downtime migrations
  • Ability to identify design flaws and lead incremental improvements while continuing to ship
  • Excellent written and verbal communication, including clear design documentation and explaining technical trade-offs to non-technical partners
  • Fluency with AI coding assistants, coding agents, and conversational AI for software development and SDLC artifacts
  • Bonus: experience with billing, metering, usage-based pricing, telemetry or analytics pipelines, notification platforms, ETL/ELT, dbt, modern data stack tools, or post-merger system integration

Benefits

Comp & perks
  • 100% employer-paid medical insurance (may vary by country and worker type)
  • Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country
  • Paid sick time
  • Inclusive parental leave
  • Paid holidays, including a year-end Global Week of Rest
  • Volunteer days off
  • RSU stock grants (may vary by country and worker type)
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
  • Access to an innovative mental health support platform offering therapy, coaching, and self-guided mindfulness exercises for covered employees and dependents