Staff Software Developer, Essentials (Calgary)

Syndio; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Syndio is seeking a Staff-level engineer to join the Essentials team in the United States. You will design and optimize high-performance data workflows, handling large datasets with complexity and scale.

You’ll also build agent tooling to automate validation, analysis setup, and reporting, while improving observability and reliability across the platform. You will collaborate with engineering leaders to raise the bar for testing, performance, and engineering excellence, mentoring teammates and

Qualifications

• 8+ years of hands-on software engineering experience.
• Deep experience in distributed service-based systems and failure modes.
• Ability to reason about data consistency and latency across service boundaries.

Responsibilities

• Build and optimize high-performance data workflows that process hundreds of thousands of records.
• Own end-to-end performance: query plans, indexing, batching, caching, and memory behavior.
• Design for partial failure and long-running multi-stage pipelines.
• Develop agent tooling for Essentials workflows: data validation, analysis setup, and report generation.
• Create observability to diagnose slow or incorrect runs and ensure trustworthy outputs.

Skills

Staff-level IC

Distributed systems

Performance optimization

PostgreSQL

Redis caching

Tools

PostgreSQL

Redis

Workflow orchestration

Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role

Essentials is our pay equity product, and its analyses are relied on for high-stakes decisions. Delivering that means running complex statistical work across datasets that routinely reach hundreds of thousands of records, fast enough that a customer can iterate on a real question instead of waiting overnight for a job to finish.

This role is for the engineer who makes that computation fast, scalable, and trustworthy. You’ll work on the workflows that move large datasets through ingestion, validation, modeling, and reporting: making them performant, making them observable, making them resilient when a single customer’s dataset is an order of magnitude larger than anyone planned for. The architecture is genuinely complex, and you’ll be one of the people who makes it more tractable rather than less.

The second half of this role is agentic. We are investing heavily in AI agents across the company, and Essentials is one of the highest-leverage places to apply them. You’ll build the tooling that lets our agents carry out Essentials workflows — the harnesses, the guardrails, the context, and the evaluation that make an agent’s output something we can stand behind, building on the AI capabilities our AI team provides.

This is a Staff role, sitting one level below Principal, and it carries the scope and expectations that implies. Success is measured two ways: how much larger and more complex a dataset we can handle without degrading, and how much of the Essentials workflow our agents can carry reliably.

What You’ll Own

High-Performance Data Workflows

• Build and optimize workflows that run complex mathematical and statistical calculations over datasets of hundreds of thousands of records — and design them so the next order of magnitude doesn’t require a rewrite.
• Own performance end to end: query plans and indexing in Postgres, batching and parallelism, memory behavior, caching strategy with Redis, and the difference between an algorithm that’s clever and one that’s actually fast on real customer data.
• Make correctness verifiable. These results carry real consequences for our customers — performance work that quietly changes an output is worse than no performance work at all.

Orchestration & Scale

• Work with the technologies that make large workflows dependable: message and queueing systems, workflow orchestration, job scheduling, retries, idempotency, and backpressure.
• Design for partial failure. Long-running multi-stage pipelines fail in the middle; the interesting engineering is in what happens next.
• Build the observability that makes a slow or wrong run diagnosable — timing, lineage, and intermediate state you can actually inspect.

Agentic Tooling for Essentials

• Build the tooling that lets our agents execute Essentials workflows: data validation and remediation, analysis setup, exception triage, report generation, and the long tail of work that currently requires a human to babysit it.
• Design the harnesses that make agent output trustworthy in a domain where being confidently wrong is unacceptable — evaluation sets, verification steps, constrained tool surfaces, and clear human review points.
• Give agents the context they need to be productive across a large codebase: documentation, schemas, conventions, and project state that stay current.
• Continuously sharpen your own agentic development workflow, and turn what works into practices the rest of the team adopts.

Raising the Bar on the Essentials Team

• Partner with the Engineering Manager and technical leaders to set standards for testing, performance, and agentic practice — and hold the line on them.
• Improve the testing story for a complex service-based architecture: integration and end-to-end coverage that gives engineers and agents fast, honest feedback.
• Mentor through the work — design review, pairing, and code review that leaves the team stronger.

What We’re Looking For

• Staff-level engineer. A high-output individual contributor who raises the output of everyone around you with 8+ years of professional hands-on experience.
• Deep experience in complex, distributed, service-based systems — you’re comfortable reasoning about failure modes, data consistency, and latency across service boundaries, not just within one service.