Senior Data Platform Engineer

Voreas Laboratories Inc.; Atlanta, Northern (GA, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work option

Competitive compensation

Ownership of core platform components

Job summary

Voreas Laboratories Inc. seeks a Senior Backend / Data Platform Engineer to design and build scalable databases and APIs for customer-facing products. You will own core platform components, aligning data models and architecture with product needs.

You will collaborate with product, research, and infra teams, deploying services in Kubernetes and ensuring performance, reliability, and security at scale. Remote-friendly with Atlanta presence.

Qualifications

• Experience designing and operating large-scale databases and analytical workloads.
• Strong backend development experience in Python, Go, Java, or similar.
• Proficiency with data modeling, indexing strategies, and workload tuning.
• Experience deploying services on Kubernetes and cloud environments.

Responsibilities

• Design, implement, and operate large-scale databases (OLTP and analytical).
• Architect and develop high-performance APIs for commercial customers.
• Design data models optimized for scale and maintainability.
• Deploy and operate backend services in Kubernetes environments.
• Optimize database performance and API latency under load.
• Define API contracts, schemas, and versioning strategies.
• Collaborate on Kubernetes deployment patterns, CI/CD, and observability.
• Implement security best practices including authentication and data protection.
• Troubleshoot production issues in distributed systems.
• Provide technical leadership through reviews, docs, and mentorship.

Skills

Backend development

Data modeling

API design

Kubernetes

Software architecture

Security best practices

Distributed systems

Performance optimization

Observability

Troubleshooting

Tools

ClickHouse

Elasticsearch

BigQuery

Snowflake

Docker

AWS

GCP

Azure

Job description

We are seeking a Senior Backend / Data Platform Engineer to design and build large-scale databases and APIs that power commercial customer-facing products. This role focuses on system architecture, data modeling, and performance at scale, with deployments running in Kubernetes-based environments.

You will work closely with product, research, and infrastructure teams to translate customer requirements into reliable, scalable, and secure backend systems. This is a hands-on engineering role with ownership over core platform components.

Location
Atlanta, GA Preferred

Committment
Full-Time

Work style
Remote

Responsibilities

• Design, implement, and operate large-scale databases (OLTP and analytical workloads)
• Architect and develop high-performance APIs (REST and/or gRPC) for commercial customers
• Design data models optimized for scale, reliability, and long-term maintainability
• Deploy and operate backend services in Kubernetes environments
• Optimize database performance, query efficiency, and API latency under high load
• Define and enforce API contracts, schemas, and versioning strategies
• Partner with DevOps and platform teams on: Kubernetes deployment patterns, CI/CD pipelines, Observability (metrics, logging, tracing)
• Implement security best practices including authentication, authorization, and data protection
• Troubleshoot and resolve production issues in distributed systems
• Provide technical leadership through design reviews, documentation, and mentorship

Required Qualifications

• Strong experience designing and operating large-scale databases, such as:
• Distributed or analytical systems (e.g., ClickHouse, Elasticsearch, BigQuery, Snowflake, etc.)
• Strong backend development experience in one or more languages:
• Python, Go, Java, or similar
• Solid understanding of: Data modeling, Indexing strategies, Transactional vs analytical workloads
• Experience deploying and running services on Kubernetes
• Familiarity with containerization (Docker) and cloud environments (AWS, GCP, or Azure)
• Must be a US citizen

Preferred Qualifications

• Experience operating databases on Kubernetes (StatefulSets, Operators, persistent volumes)
• Experience with high-throughput or high-volume data systems
• Knowledge of: API gateways and service meshes, gRPC, OpenAPI, or GraphQL
• Experience with infrastructure as code (Terraform, Helm, Crossplane)
• Experience supporting commercial customers with uptime, SLA, and performance requirements
• Familiarity with security-sensitive or regulated environments

What Success Looks Like in This Role

• Databases that scale reliably as customer usage grows
• APIs that are stable, well-documented, and easy for customers to integrate
• Kubernetes deployments that are observable, resilient, and maintainable
• Clear architectural documentation and design rationale
• Strong collaboration across engineering, product, and operations

Why Join Us

• Work on real production systems at meaningful scale
• Own core architecture decisions that directly impact customers
• Collaborate with senior engineers, researchers, and product leaders
• Build systems that value correctness, performance, and maintainability