---
title: 'Sr. Observability Engineer at MX Technologies, Inc.'
canonical: 'https://feeny.ai/job/sr-observability-engineer-mx-technologies-inc-lehi-utah-xtnrz41dbser'
type: 'job'
last_seen: '2026-09-08'
---

# Sr. Observability Engineer at MX Technologies, Inc.

- **Company:** MX Technologies, Inc.
- **Location:** Lehi Utah, United States
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/mxtechnologiesinc/jobs/4339716009

## Job description

MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive financial experiences to millions of people.

Like many startups, we’ve navigated real growth challenges — and we’ve come out stronger on the other side. Today, MX is in a phase of renewed momentum and scale, with a solid foundation and a clear vision for what’s next. This is a place where thoughtful execution matters, innovation is encouraged, and individuals have real ownership over their work.

Our culture values curiosity, accountability, and impact. We give people the space to question assumptions, design better solutions, and help shape how the company grows. If you’re looking to do meaningful work, influence outcomes, and grow alongside a company that’s ready to move fast, you’ll feel at home at MX.

At MX, reliability is a product. Our infrastructure powers financial applications used by millions of people and processes billions of transactions for major financial institutions, and customers feel every second of downtime.

We're building a new observability function that runs the way we run incident response: the system does the heavy lifting, and people handle judgment, customers, and the exceptions. As a Senior Observability Engineer, you build and operate an observability control plane. You scaffold baselines, score coverage, and turn every real incident into the detection the platform should have caught. This is a multiplier role: you raise the bar for every team through standards and automation instead of building each team's dashboards by hand.

We call it the shepherd model. You shepherd Datadog and partner with our product engineering teams so they observe the right signals for their products. Service owners get real signal instead of noise, and leadership gets coverage and health as a program metric.

This role shares the team pager. Observability and incident response run one on-call roster. You take shifts with the rest of the team and act as Incident Commander when an incident needs one. It is core to the role, not an afterthought.

Engineering at MX runs hybrid infrastructure (AWS and bare metal) with services in Ruby, Go, and Java, messaging over NATS and RabbitMQ, and data on PostgreSQL and Redis. Datadog is our observability platform and incident.io is our incident response platform.

What you'll do:

- Build and operate an observability control plane: automate baseline monitors, dashboards, and tagging standards through the Datadog API and Terraform.

- After significant incidents, produce detection and dashboard gap packs grounded in Datadog and MX investigation patterns, with queries ready to apply.

- Define what "good" looks like for a Ruby, Go, or Java service on Datadog (tags, golden signals, alert quality, dashboard contracts), then audit services against that standard and accept or reject readiness.

- Validate, don't own. Service owners keep their alerts and dashboards; you confirm they are complete and correct, then move on. Escalate to engineering managers when coverage fails or an owner is missing.

- Own the monthly observability and service-catalog health report: departed owners, stale dashboards, services with no monitors, SLO gaps, and coverage trends.

- Run maturity assessments (baseline through SLO, launch-ready, self-serve) and track them over time.

- Tune alerting toward zero false SEV1/2 pages and actionable SEV3/4 alerts, and coach teams on Datadog cost and cardinality.

- Build self-serve onboarding so new services get baseline observability on day one, without a multi-week embed.

- Share the team pager. Rotate on the shared IR & Observability on-call, triage and investigate live incidents with Datadog and MX investigation patterns, and take Incident Commander or supporting technical roles as the incident needs.

- After incidents, close the detection loop (gap packs, new monitors, dashboards) so the pager gets quieter over time.

- Run high-value launch and production-readiness reviews as a checkpoint, not a permanent staffing model.

## Basic Requirements

- BS in Computer Science or equivalent experience

- 5+ years running production observability, SRE, or DevOps

- 5+ years automation-first engineering in Python, Bash, Go, and/or Terraform, plus Kubernetes proficiency

- AI- and workflow-literate. You've used or built scripted and AI-assisted workflows to scale reviews, audits, and docs

- Distributed-systems debugging across microservices: latency, connection pools, queues, and cascading failure on Kubernetes and bare metal, with NATS, RabbitMQ, Postgres, and Redis

- Shared on-call, Incident Commander-capable

## Preferred Requirements

- Fintech experience with MX-like architectures

- Datadog preferred; strong Grafana/Prometheus, Splunk, or New Relic experience counts if you can ramp on Datadog fast

- Google SRE practices: toil elimination, incident management, automation for self-healing

- Cross-functional influence without authority. You've improved teams that don't report to you

- Governance and reporting: you can produce a monthly health and compliance report leadership reads (orphans, stale entries, gaps, trends)

- OpenTelemetry instrumentation

- Incident response platforms (incident.io, PagerDuty, OpsGenie); prior formal Incident Commander experience

- Golang and Ruby on Rails (the MX stack)

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.

## About MX Technologies, Inc.

## Company Overview
- **One-liner**: MX Technologies is a financial data platform that enables financial institutions and fintechs to securely connect, enhance, and act on financial data to drive consumer engagement and growth.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: Lehi, Utah, United States (also has offices in India)
- **Founded**: 2010
- **Founders**: Ryan Caldwell (CEO) and Brandon Dewitt (co-founder, deceased)

## Core Business
- Primary industry: Financial technology (Fintech) and Data Services
- Target customers: B2B – financial institutions (banks, credit unions) and fintech companies
- Mission: "Empower the world to be financially strong."

## Products & Services
- **Connect Accounts**: API and SDK to securely link and verify financial accounts with top financial institutions; part of the industry’s leading connectivity solutions.
- **Data Enhancement**: Cleansing, categorization, and enrichment of transaction data – achieving 95% category coverage across the platform.
- **Financial Intelligence AI Assistant**: A conversational AI layer that delivers personalized financial guidance, drives growth, and builds trust within a company’s own digital experience.
- **Verifications**: Account and income verification solutions for faster, more reliable data confirmation.
- **Data Aggregation**: Aggregates data from over 13,000 financial institution connections, processing more than 170 billion transactions (average 150M per day).

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Over 170 billion transactions processed; 13,000+ financial institution connections
- **Notable Investors/Partners**: Not explicitly listed; partners with top financial institutions and fintechs across the financial services ecosystem
- **Growth Signals**: Massive transaction volume growth, expanding engineering and sales teams (active hiring on Greenhouse), presence in both the US and India, and industry recognition as the #1 Financial Data Platform

## Competitive Advantages
- #1 Financial Data Platform (self-proclaimed) with proven scale – processing billions of transactions reliably.
- 95% category coverage for transaction data, making data actionable and insightful.
- Extensive network of 13,000+ connections to financial institutions and fintechs.
- Strong focus on security, compliance, and trust (dedicated Trust Center).
- Deep domain expertise in open finance and data intelligence.

## Strategic Focus
- Advancing open finance by expanding connectivity and data transparency.
- Leveraging AI (conversational financial intelligence assistant) to deliver personalized, real-time guidance.
- Helping financial institutions increase deposits, loans, and customer lifetime value through data-driven insights.
- Growing both domestic and international (India) engineering and client teams.

## Why Work Here
- **Culture**: Mission-driven, collaborative, and innovative with a strong emphasis on “People. Product. Purpose.” Core values include trust, constructive feedback, and innovation.
- **Work Arrangements**: Flexible working arrangements; Lehi headquarters with onsite amenities (fitness center, massage, stocked breakrooms, breakfasts/lunches on select days). Hybrid/remote-friendly policy suggested.
- **Benefits**: Subsidized health insurance, employer contributions to retirement and HSA, generous parental leave, flexible time off, paid holidays and a Winter Recharge week, sabbatical program, stock options and performance bonuses, professional development and tuition reimbursement, childcare support, free mental health care, UTA pass.
- **Employee Resource Groups**: WIN (women), Honor (veterans/military families), Mind (mental health/neurodiversity), Pride (LGBTQ+), Unite (BIPOC). Commitment to diversity, equity, inclusion, and belonging.
- **Interview Process**: Transparent and efficient – initial screening, hiring manager, panel of 3-4 team members, and senior leader. Values-based interviews.

## Sources
1. [mx.com](https://www.mx.com/)
2. [mx.com/company/](https://www.mx.com/company/)
3. [mx.com/careers/](https://www.mx.com/careers/)
4. [Bloomberg](https://www.bloomberg.com/profile/company/0570494D:US)
5. [Greenhouse](https://job-boards.greenhouse.io/mxtechnologiesinc)

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