Job Description
Application
Add your info [here]
About the Project
We are partnering with a fast-growing AI-driven software company that centralizes large-scale customer feedback data from diverse public and private sources. Their platform powers advanced analytics, insights and decision-making for global organizations.
You will join the platform engineering group responsible for the end-to-end ingestion layer — a mission-critical system that ingests, normalizes and transforms data from APIs, data lakes, streaming services and web sources. This role focuses on high performance, scalability, data quality and robust distributed workflows.
- Role and Responsibilities
- Lead the development and evolution of a large-scale data ingestion platform built primarily in Go.
- Design, implement and maintain streaming and batch data pipelines, async/sync APIs and distributed workflows.
- Ensure data quality, consistency, reliability and performance across ingestion pipelines and system integrations.
- Work closely with platform, application and infra teams to guarantee scalable, observable and well-monitored ingestion architecture.
- Drive improvements in infrastructure automation (IaC), monitoring and operational excellence using modern cloud-native tools.
- Contribute to hiring, onboarding and mentoring engineers within the ingestion team, fostering strong engineering practices.
- Participate in architectural discussions, technical decision-making and long-term platform planning.
What We’re Looking For
- Must-Haves:
- Strong hands-on experience with Go (Golang).
- Experience with cloud platforms (GCP preferred, but AWS/Azure experience also valid).
- Solid experience building streaming/batch data pipelines, async/sync APIs and distributed systems.
- Familiarity with infrastructure-as-code (Terraform) and observability/monitoring practices.
- Experience providing technical leadership within engineering teams.
- Strong understanding of scalability, data quality and distributed processing challenges. Nice-to-Haves:
- Experience with managed messaging or streaming platforms (e.g., Pub/Sub, Kafka, Kinesis).
- Background in web scraping or ingestion of heterogeneous data sources.
- Experience with Kubernetes, Postgres or large-scale data lake architectures.
- Previous experience in high-growth startup environments or platform teams.
Benefits:
20 PTO days/ year
HolidaysHealthcare
Equity involvment depending on performance in the process
- Why Join Us?
- Lead a mission-critical ingestion platform powering analytics used by global organizations.
- High-impact role owning scalability, data quality and performance of core pipelines.
- Fast-moving, pragmatic engineering culture focused on building, shipping and learning quickly.
- Opportunity to influence platform architecture and mentor a growing engineering team.
- Work with modern tooling across Go, GCP, Kubernetes, Terraform and large-scale distributed systems.
Application Instructions
- Please send the following [here] and we will contact you:
- Your résumé/CV highlighting data ingestion, Golang and distributed systems experience.
- Links to GitHub, portfolio or relevant backend/platform projects.
- Your availability (start date) and expected compensation.
- Any leadership, platform engineering or large-scale data pipeline experience (optional).
Apply tot his job
Apply To this Job