- Designing and improving distributed systems that power large-scale data syncs
- Improving sync speed by finding and optimizing bottlenecks across the pipeline
- Extending the platform from batch syncing into more real-time and streaming use cases
- Scaling and hardening systems to handle the next order of magnitude of growth
- Supporting and extending a low-latency API layer on top of data warehouses (sub-30ms p90, high QPS)
- Contributing to multi-region and multi-cloud architecture, including new region rollouts and data residency needs
- Own complex distributed systems projects from design through deployment and iteration
- Profile and optimize services for latency, throughput, and cost
- Build reliable, observable services with strong monitoring and alerting
- Partner with other engineering teams to design APIs, contracts, and integrations
- Collaborate with product and customer-facing teams to understand real-world scaling and reliability needs
- Participate in code reviews, design reviews, and on-call as needed
- 5+ years of professional software engineering experience
- Strong background in distributed systems (e.g., consensus, partitioning, fault tolerance, backpressure, queues/streams)
- Experience building and operating large-scale, production systems (multi-region and/or multi-cloud is a plus)
- Solid programming skills in one or more backend languages (e.g., Go, Rust, Java, Scala, C++, etc.)
- Experience with performance tuning, profiling, and debugging complex production issues
- Strong ownership mindset and comfort working on open-ended problems
- Clear communication, ability to work closely with other teams, and desire to move quickly while maintaining quality
- Experience with data infrastructure, data warehouses, or real-time data products
- Background working on high-QPS, low-latency APIs
- Experience in high-growth startup environments
- Competitive base salary (target band: $180,000–$320,000 USD, depending on experience and location)
- Competitive equity package
- Remote-first culture within North America
- Comprehensive benefits and flexible time off
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Software Engineer Distributed Systems - San Francisco - IKR Enterprises
Description
Job Title: Software Engineer, Distributed Systems (Core)
Location: Remote (US or Canada)
Employment Type: Full-time
Sponsorship: Visa Sponsorship Available
About the Company
High-growth SaaS company in the data and AI space, backed by top-tier investors and serving hundreds of well-known brands. The platform helps business and marketing teams use their data for personalization, analytics, and operations, across a global customer base. The team values ownership, clear thinking, and fast, high-quality execution in a supportive, low-ego environment.
About the Role
We're looking for a senior-level software engineer with deep experience in distributed systems to work on the core systems that power our data syncing engine. You'll help increase throughput, reliability, and efficiency across a multi-region, multi-cloud environment that moves very large volumes of customer data.
You'll have high ownership: you'll scope and deliver projects end to end, work directly with internal stakeholders and customers on scaling issues, and influence what the team builds next.
What You'll Work On
Responsibilities
What We're Looking For
Nice to Have
Compensation & Benefits
If you have deep distributed systems experience and like working on hard scaling problems with a high degree of ownership, we'd like to hear from you.
Compensation:
$180,000-$320,000 per year
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