M

MX

Fintech data connectivity and enhancement platform

Senior Observability Engineer

Site Reliability EngineeringUpdated on Nov 12
Full-timeChennai, Tamil Nadu, IndiaNo salary listed

About the Job

Requirements

  • A Bachelor of Science in Computer Science or equivalent experience is required.
  • At least five years of production observability, site reliability engineering, or DevOps experience is required. Datadog experience is preferred; strong Grafana/Prometheus, Splunk, or New Relic experience is acceptable with the ability to ramp up on Datadog quickly.
  • Automation-first engineering experience in Python, Bash, Go, and/or Terraform, plus Kubernetes proficiency, is required. The candidate must encode monitoring standards as code rather than configure them through the user interface.
  • Experience using or building scripted and AI-assisted workflows to scale reviews, audits, and documentation is required.
  • Alerting and SLO strategy experience, including burn-rate and error-budget thinking and evidence-based reduction of alert fatigue, is required.
  • Distributed-systems debugging experience across microservices is required, including latency, connection pools, queues, and cascading failures on Kubernetes and bare metal, with NATS, RabbitMQ, PostgreSQL, and Redis.
  • The candidate must be capable of shared on-call and Incident Commander duties, have run or supported incident bridges, written postmortems, and be willing to take shifts on the shared incident-response and observability rotation.
  • Applicants must have the legal right to work in India without sponsorship and must be able to verify their eligibility to work in the country independently.

Responsibilities

  • Build and operate an observability control plane by automating baseline monitors, dashboards, and tagging standards through the Datadog API and Terraform.
  • After significant incidents, produce detection and dashboard gap packs based on Datadog and MX investigation patterns, with queries ready to apply.
  • Define observability standards for Ruby, Go, and Java services on Datadog, including tags, golden signals, alert quality, and dashboard contracts; audit services against the standards and accept or reject readiness.
  • Validate service owners’ alerts and dashboards for completeness and correctness without taking ownership of them, and escalate to engineering managers when coverage fails or an owner is missing.
  • Own the monthly observability and service-catalog health report, covering departed owners, stale dashboards, services without monitors, SLO gaps, and coverage trends.
  • Run maturity assessments from baseline through SLO, launch-ready, and self-serve, and track progress 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 receive baseline observability on day one without a multi-week embedded engagement.
  • Participate in the shared incident-response and observability on-call rotation, triage and investigate live incidents using Datadog and MX investigation patterns, and take Incident Commander or supporting technical roles as needed.
  • After incidents, close the detection loop with gap packs, new monitors, and dashboards to reduce future pages.
  • Run high-value launch and production-readiness reviews as checkpoints rather than a permanent staffing model.

Desired Qualifications

  • Fintech experience with architectures similar to MX’s is preferred.
  • Experience with Google SRE practices, including toil elimination, incident management, and automation for self-healing, is preferred.
  • Experience influencing cross-functional teams without authority and improving teams outside the candidate’s reporting line is preferred.
  • Experience producing monthly health and compliance reports for leadership, covering orphaned ownership, stale entries, gaps, and trends, is preferred.
  • OpenTelemetry instrumentation experience is preferred.
  • Datadog cost optimization at scale, including cardinality, log indexing, and sampling, is preferred.
  • Experience with incident-response platforms such as incident.io, PagerDuty, or OpsGenie, and prior formal Incident Commander experience, is preferred.
  • Golang and Ruby on Rails experience is preferred.

About the Company

MX

Fintech data connectivity and enhancement platform

MX is a fintech company that provides businesses with tools to improve their financial data capabilities. It uses proprietary technology to securely link, verify, and enhance financial data through its APIs and developer tools, enabling companies to build personalized money experiences for customers. The product works by connecting various financial data sources, enriching the data, and delivering it through integrated APIs, with a high volume of activity (over 150 million transactions per day) to support rapid data processing and real-time insights. Compared to competitors, MX differentiates itself with a robust data engine and industry-leading connectivity, along with a strong emphasis on security and compliance to safeguard data. The company aims to help consumers reach their financial goals by empowering businesses to deliver personalized, engaging experiences that drive customer engagement and growth.

Company size
1,001-5,000
Company stage
Series C
Total funding
$472.7M
Headquarters
Lehi, UT
Founded
2010

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