# Staff Engineer

**Company:** [Reltio](https://hotfix.jobs/companies/reltio)
**Location:** Remote
**Role:** Backend Engineering
**Experience:** 8+ years
**Skills:** Java, AWS, Microsoft Azure, GCP, Distributed Systems, Managed Cloud Databases, Cassandra, Amazon Sqs, Kubernetes, Cloud Security, Big Data, Algorithms, Data Structures, Software Design, NoSQL
**Posted:** 2026-08-24

> Leads the design, architecture, and delivery of large-scale distributed data platform features for enterprise customers. The role requires 8+ years of product development experience, strong Java and cloud expertise, and demonstrated technical leadership and mentorship.

## Job Description

## Responsibilities
- Deliver high-quality, customer-focused features for a large enterprise MDM platform.
- Partner with product managers to build product roadmaps with clear goals and KPIs.
- Lead the design and development of features, providing technical and execution leadership.
- Collaborate with QA, DevOps, documentation, architects, and global stakeholders to ensure thorough testing, robust deployment, and clear documentation.
- Champion engineering excellence through code coverage, coding guidelines, and review processes.
- Mentor junior engineers and provide technical leadership on projects.
- Shape the architecture of the team’s work area and the broader product.
- Present designs for new initiatives to a global architecture forum.

## Requirements
- Engineering degree in computer science or a related field.
- Strong foundation in algorithms, data structures, software design, and large-scale distributed systems.
- 8+ years of experience designing and developing products for enterprise customers.
- 4+ years of experience building large-scale distributed data systems with Java and cloud technologies.
- Experience taking functionality from conception through delivery and engaging customers and partners to drive adoption and satisfaction.
- Experience leading engineering projects and providing technical mentorship.
- Hands-on experience building services with AWS, Azure, or Google Cloud and using managed cloud databases.

## Nice to Have
- Experience with Cassandra and Amazon SQS.
- Knowledge of cloud security principles.
- Experience with Kubernetes.
- Experience with big data technologies.
- Experience driving customer focus for SaaS products.

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