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Senior Software Engineer – Backend Platform

AI Summary
Customer.io is hiring a senior backend platform engineer to design and operate distributed systems supporting a high-volume marketing automation platform. The role centers on Go services, real-time event processing, messaging, data pipelines, databases, and cloud infrastructure at billion-event daily scale. The engineer will lead architecture decisions, improve reliability and observability, debug production systems, and participate in an on-call rotation. This is a highly senior, ownership-oriented role requiring cross-team technical leadership and clear knowledge sharing. The position is remote across the Americas and includes a stated base-salary range plus equity.
Remote from
USA, Canada, LATAM
Salary
USD 150k–200k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
6 Dec 2026
Listing views
31
Application actions
3
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Opportunity details

About this role.

Hi, I’m Manu, Engineering Manager at Customer.io. We’re looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide.

You’ll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at Customer.io depends on. This isn’t just maintenance work — you’ll shape the architecture of systems that need to be both highly available and constantly evolving.

If you’re someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we’d love to talk.

What you’ll bring:

  • Deep experience with distributed systems and large-scale backend architecture
  • Strong instincts around reliability, observability, and fault tolerance
  • Comfort reasoning about performance, capacity, and trade-offs at scale
  • Experience with event-driven systems, message queues, or data pipelines is a plus
  • A collaborative mindset — you raise the team around you

About Customer.io

Over 9,000 companies – from scrappy startups to global brands – use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive.

We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.

What We Value

Ownership

You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line.

Engineers with customer focus

You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience.

A healthy disregard for “the way things are done”

You bring rigor and creativity. Best practices matter, but never more than forward motion.

What You’ll Do

  • Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data
  • Lead architectural decisions around performance, reliability, and real-time event processing
  • Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns
  • Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience
  • Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure
  • Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently
  • Participate in an on-call rotation as required, supporting the reliability of the systems you build
  • Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship
  • Leverage AI tools to prototype, move faster, and make better decisions

What we’re looking for

  • Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages)
  • Deep experience with databases – relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) – and how to make them fast
  • Comfort working in cloud-native environments (AWS, GCP)
  • Familiarity with APIs, observability, and operating production systems
  • A bias for action over perfection, and pride in owning technical decisions

Compensation & Benefits

We believe in transparency. Starting salary for this role is $150,000 – $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions – just a clear, human process designed to help both of us make an informed decision.

  • Application – We review everyone with care. Tell us why you’re interested.
  • Recruiter Call (30 mins) – Let’s chat about what you’re looking for and how we work.
  • Hiring Manager Interview (60 mins) – Talk with one of our hiring managers about your working style and a project you’ve owned end-to-end, plus a short AI-assisted coding exercise.
  • System Design Interview (60 mins) – A collaborative system design conversation focused on scaling challenges.
  • Coding Interview (60 mins) – Pair with one of our engineers for an agentic live coding interview.

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role requires 10+ years of experience and deep expertise in distributed systems operating at very high throughput and data scale. It combines hands-on production ownership, architectural leadership, incident response, and cross-team influence.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$175,000
US market range (per year)$160k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer states a base salary range of $150,000–$200,000 USD. The annual cadence is inferred from the senior US-market software engineering salary scale because the posting does not explicitly state a pay period. Estimated annual market compensation for a senior backend platform engineer in the US is $160,000–$220,000 USD, excluding equity and other benefits.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design an event-processing system that can reliably handle billions of events per day?

I would start by defining throughput, latency, ordering, retention, and delivery guarantees. I would use partitioned durable queues, independently scalable consumers, idempotent processing, back-pressure controls, dead-letter handling, and strong observability around lag, failures, and saturation. The design would be validated with capacity models and failure testing.

Describe a production reliability issue you led from detection through resolution.

I would explain the customer impact, the telemetry used to narrow the issue, the immediate mitigation, and the root-cause analysis. I would also describe durable follow-up actions such as improved alerts, capacity safeguards, runbooks, tests, or architecture changes, along with measurable reliability outcomes.

What trade-offs would you consider when choosing between a relational database and a NoSQL datastore?

I would evaluate consistency requirements, access patterns, data relationships, query flexibility, scale characteristics, operational burden, and failure modes. Relational databases are often preferable for transactional integrity and complex queries, while NoSQL systems can be useful for predictable, high-scale access patterns and horizontal distribution.

How do you improve observability for a distributed service ecosystem?

I would establish actionable service-level objectives and instrument services with structured logs, metrics, distributed traces, and correlation IDs. I would focus dashboards and alerts on user-impacting signals such as error rate, latency, queue lag, saturation, and dependency health, then ensure teams can use the signals effectively during incidents.

How would you lead an architectural change that affects several engineering teams?

I would align stakeholders on the customer and technical problem, document options and trade-offs, and propose an incremental migration plan with ownership boundaries and success metrics. I would communicate progress transparently, solicit feedback early, reduce migration risk through compatibility layers or pilots, and share lessons learned after delivery.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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