Software Engineer, Distributed Systems – Core

SIVAD Consulting

. Work on the systems powering the syncing engine used by customers and engineering teams .

Posted 11/9/2026full-timeRemote • United States, CanadaSeniorLead💰 $180,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in backend engineering and distributed systems, with a strong focus on optimizing performance and scalability for high-volume data processing. Proven ability to lead projects from inception to completion while collaborating with customers to solve complex technical challenges.

Highest-signal resume keywords

Distributed Systems ExpertiseBackend Engineering ExperienceEvent Collection ServicesMessage Queues and KafkaScalability and Reliability Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance OptimizationData Streaming ServicesSyncing Engine DevelopmentSQL DatabasesKubernetesDockerLow-Latency CachingWebhooksQueuesHigh-Scale Systems

Soft Skills

Problem SolvingCustomer CollaborationInfluencing Priorities

Industry Keywords

Multi-Cloud InfrastructureGlobal Customer BaseData WarehousesTerabytes of Data ProcessingHigh-Volume Data

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKafkaKubernetesSQL

About the role

Key responsibilities & impact

Work on the systems powering the syncing engine used by customers and engineering teams
Apply distributed systems expertise, performance optimization, and troubleshooting to move massive amounts of customer data
Work on multi-cloud, multi-region infrastructure supporting a global customer base
Own and deliver projects from start to finish
Work directly with customers to solve difficult scaling problems
Influence team and company priorities
Optimize syncing processes to improve sync speed to destinations such as Facebook and Snapchat
Develop real-time syncing and streaming-source support, including webhooks and queues
Evaluate scalability and reliability bottlenecks and architect for the next order of magnitude of growth
Develop the Personalization API's low-latency caching layer over data warehouses, targeting under 30ms p90 response times and millions of QPS

Requirements

What you’ll need

7+ years of experience as a software engineer with a very high level of general aptitude and experience working in distributed systems
Strong backend engineering experience; not full stack
Passion for solving hard technical problems that generate real value for customers
Experience creating event collection or data streaming services powering company-critical systems
Experience working with message queues, Kafka, SQL databases, Kubernetes, and Docker
Experience owning systems that underwent orders of magnitude of growth and scaling them accordingly
Experience and comfort with distributed systems and high-scale systems, or ability and desire to build this experience quickly
Experience building syncing engines that process and move terabytes of data per day in a scalable way
Relevant skills and ability to learn quickly
Graduated from a top 30 CS program such as University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, Caltech, Cornell, Duke, Dartmouth, Brown, or IITs