Senior Backend Engineer - Monitoring and Anomaly Detection (Monetization)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer - Monitoring and Anomaly Detection (Monetization) based in India.

We are seeking a senior backend engineer to build reliable monitoring, observability, and anomaly detection solutions for business-critical monetization systems. This role focuses on designing scalable backend services that identify billing, data, and event-related issues before they impact customers or revenue. You will contribute to a greenfield engineering initiative, shaping architecture, operational practices, and reliability standards from the ground up. The position combines backend development, site reliability engineering, data analysis, and automation to solve complex technical challenges. You will collaborate with engineering, product, finance, and operational teams in a highly distributed and asynchronous environment. This is an opportunity to leverage modern technologies, artificial intelligence, and machine learning approaches to improve system intelligence and resilience.

Accountabilities:: The Senior Backend Engineer will design, develop, and operate monitoring and anomaly detection capabilities that improve reliability, visibility, and operational excellence across monetization platforms.

Design, build, and maintain backend solutions for monitoring, telemetry, alerting, and anomaly detection across critical systems.

Develop metrics, logs, and tracing capabilities using observability tools such as Prometheus, Grafana, and OpenTelemetry.

Build automated detection mechanisms for billing anomalies, data inconsistencies, event failures, and transactional issues.

Create reconciliation processes and data integrity checks across usage, billing, and customer-related pipelines.

Define and maintain service reliability practices, including SLOs, SLIs, operational dashboards, runbooks, and incident response processes.

Investigate and apply artificial intelligence and machine learning techniques to predict anomalies and improve issue resolution.

Own engineering initiatives from design and technical planning through implementation, deployment, and production monitoring.

Review code contributions and provide constructive feedback to improve engineering quality and maintainability.

Collaborate with product, finance, support, and engineering stakeholders to transform operational needs into scalable technical solutions.

Participate in agile ceremonies, deployments, incident management activities, testing, and continuous improvement initiatives.

Help establish engineering standards and contribute knowledge sharing within a remote-first development environment.

Requirements:

The ideal candidate will have strong backend engineering experience combined with expertise in observability, reliability engineering, and building systems for complex business environments.

Professional experience developing applications with Ruby on Rails.

Strong background in backend engineering, site reliability engineering, or observability-focused roles.

Experience designing and operating monitoring, alerting, and reliability solutions using tools such as Prometheus, Grafana, and OpenTelemetry.

Experience building anomaly detection, monitoring, risk management, or data quality solutions.

Experience working with business-critical systems such as billing, financial, or transactional platforms.

Familiarity with data platforms and reporting systems, including technologies such as ClickHouse and event-driven pipelines.

Experience with change data capture, event streaming, or messaging systems is preferred.

Ability to independently own projects from concept through production delivery and ongoing optimization.

Strong understanding of software architecture, scalability, reliability, and operational best practices.

Experience using Python for data analysis, automation, or anomaly detection is an advantage.

Familiarity with platforms such as Salesforce or Zuora is preferred.

Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly in English.

Ability to collaborate effectively in a remote, distributed, and asynchronous work environment.

Benefits:

Competitive compensation package aligned with experience and market standards.

Fully remote work environment with flexibility across locations.

Opportunity to work on impactful systems supporting global business operations.

Exposure to modern technologies across backend engineering, observability, AI, and machine learning.

Health, financial, and wellbeing benefits designed to support employees.

Flexible paid time off and programs supporting work-life balance.

Employee resource groups and inclusive workplace initiatives.

Professional growth opportunities through learning programs and development support.

Opportunity to collaborate with talented engineers across international teams.

Equity compensation and employee stock purchase opportunities.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1