Senior Platform Engineer - Observability

Capital Group; Charlotte, Northern (NC, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Capital Group in Charlotte is seeking a Senior Platform Engineer - Observability to design, build, and operate observability capabilities that help thousands of engineers understand application health and performance. You'll work with metrics, events, logs, and traces, using OpenTelemetry standards and tools like Datadog, Prometheus, and Grafana.

This hands-on role requires strong Python or Go skills, IaC expertise (Terraform/OpenTofu), and experience with AWS/EKS/Kubernetes and CI/CD.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent.
• 8+ years in Software/Platform Engineering or related fields.
• Strong fundamentals in networking, security, and cloud-native architectures.
• Experience instrumenting apps and building MELT telemetry pipelines.
• Proficiency in Python or Go; familiarity with Java/.NET/Node.js is a plus.
• AI-assisted coding experience and enterprise AI governance.
• Infrastructure-as-Code with Terraform/OpenTofu; Observability-as-Code.
• Experience with AWS (EKS/Kubernetes), containers, and CI/CD.
• Ability to define SLOs/SLIs and drive reliability standards.

Responsibilities

• Design, build, and operate observability capabilities used by thousands of engineers.
• Instrument telemetry across metrics, events, logs, and traces using OpenTelemetry.
• Deliver Observability-as-Code with monitors, dashboards, and alerts as reusable modules.
• Integrate with Datadog, Prometheus, Grafana, and other backends for unified visibility.
• Define golden signals, SLI/SLO standards, and cost/cardinality controls.
• Coach and mentor engineering teams to raise observability maturity across the organization.
• Collaborate on AI-assisted tooling and secure AI-generated code within governance.

Skills

OpenTelemetry

Python

Go

Prometheus

Grafana

Datadog

Terraform

Kubernetes

AI in coding

CI/CD

Education

Bachelor's degree in CS/Engineering

Tools

Datadog

OpenTelemetry

Prometheus

Grafana

Splunk/CloudWatch

Terraform

Kubernetes

Job description

Culture and Values

\"I can be myself at work.\" You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. \"I can influence my income.\" You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. \"I can lead a full life.\" You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

Benefits Overview

Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options.

Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love.

Access on-demand professional development resources that allow you to hone existing skills and learn new ones.

Compensation

Charlotte Base Salary Range: $136,749-$218,798

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

Eligibility and Exceptions

Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

Equal Opportunity

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Capital Group is one of the largest and most trusted financial companies in the world, with the goal of improving people's lives through successful investing.

We know that our history is a testament to the strength of the people we hire.

Our shared values of integrity, client focus, long-term view, diverse perspectives and community inspire our associates every day.

A career at Capital Group means having countless opportunities to explore, grow and succeed.

More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day.

Senior Platform Engineer - Observability

\"I can succeed as a Senior Platform Engineer - Observability at Capital Group.\" As a Senior Platform Engineer on our observability platform team, you’ll design, build, and operate the observability capabilities that thousands of engineers rely on to understand the health, performance, and behavior of their applications and infrastructure. You’ll build on open telemetry standards to give teams a unified, vendor-friendly experience across metrics, events, logs, and traces—turning raw signals into actionable insight that accelerates troubleshooting, strengthens reliability, and improves the developer experience. This is a hands-on senior engineering role. You’ll engineer telemetry collection and pipelines, automate onboarding so teams get observability out of the box, and deliver Observability-as-Code - monitors, dashboards, and alerts managed as versioned, reusable modules. A central goal is a true single pane of glass: you’ll correlate metrics, events, logs, and traces into one unified experience so engineers can move seamlessly from signal to root cause without switching tools. You’ll integrate with leading observability backends (for example, a SaaS APM/metrics platform such as Datadog alongside log platforms and open-source stacks like Prometheus and Grafana) while keeping the architecture standards-based and portable, so we’re never locked to a single vendor. You’ll define golden-signal and SLI/SLO standards, tune cost and cardinality, advance AIOps and anomaly detection, and coach engineering teams to raise observability maturity across the organization. You’ll also develop with AI—using AI-assisted coding tools and agentic workflows to build and refactor platform tooling faster, while keeping quality and security high.

Requirements

• You have a bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent technical experience


• You have at least 8 years in Software Engineering, Platform Engineering, SRE, or Cloud Engineering, with a strong software background designing, building, and operating production-grade systems at scale


• You have strong software engineering fundamentals, along with a solid foundation in networking, security, and cloud-native architectures, and can apply them to solve complex platform engineering challenges at scale.


• You understand the trade-offs between reliability, performance, and cost, and apply sound engineering judgment when designing platform solutions.


• You have deep, hands-on observability platform experience—instrumenting applications and building telemetry pipelines and backends across metrics, events, logs, and traces (MELT), grounded in OpenTelemetry standards with a vendor-neutral, portable design mindset—using modern tooling such as a leading SaaS APM/metrics platform (e.g., Datadog), open-source stacks (Prometheus, Grafana, OpenTelemetry Collector), and log platforms (e.g., Splunk, CloudWatch)


• You have proven experience delivering unified, single-pane-of-glass observability—correlating metrics, events, logs, and traces (including trace-to-log correlation and consistent tagging/context propagation) so engineers move from signal to root cause in one experience without switching tools


• You are an expert in at least one of Python or Go (our primary languages for platform tooling, collectors, and automation) and are comfortable reading and instrumenting services in additional languages such as Java, .NET (C#), and Node.js/TypeScript; strong telemetry query-language skills (e.g., PromQL, SQL, or equivalent) are expected


• You develop with AI as part of your craft—using AI-assisted coding tools (e.g., GitHub Copilot or equivalent) and agentic workflows to accelerate development, testing, and refactoring of platform tooling—while applying sound engineering judgment to review, validate, and secure AI-generated code in line with approved enterprise AI platforms and controls


• You have strong Infrastructure-as-Code skills (Terraform/OpenTofu) and deliver Observability-as-Code - monitors, dashboards, and alerts as versioned, reusable modules deployed through CI/CD—plus telemetry collection and pipeline engineering (collector/agent fleet management, data hygiene and tagging standards, and cost/cardinality/sampling optimization) on cloud-native AWS (EKS/Kubernetes, containers)


• You define reliability and observability standards—golden signals, distributed tracing/context propagation, SLIs/SLOs, structured logging, RUM/synthetics—and apply AIOps/anomaly detection to accelerate detection and root-cause analysis, while leading technical workstreams independently, mentoring engineers, and communicating clearly with technical teams and stakeholders (Agile/SCRUM)