Observability Forward Deployed Engineer

Seeking an experienced engineer with a strong software development background and a passion for observability, automation, and platform engineering. This role is responsible for designing, developing, and enabling enterprise observability capabilities through code, leveraging OpenTelemetry, APIs, automation frameworks, and modern monitoring platforms.

The ideal candidate is a hands-on developer who understands distributed systems, cloud-native architectures, and application performance monitoring. They will partner with application teams to implement telemetry standards, automate observability onboarding, develop integrations, and create scalable solutions that improve visibility, reliability, and operational resilience across the enterprise.

Key Responsibilities

• Develop and maintain observability solutions using modern programming languages and automation frameworks.

• Design and implement OpenTelemetry instrumentation, collectors, and telemetry pipelines.

• Build APIs, integrations, and self-service capabilities that simplify monitoring adoption.

• Create automation to manage monitoring configurations, maintenance windows, alerting, and platform onboarding.

• Partner with application teams to embed observability into the software development lifecycle.

• Develop dashboards, analytics, and monitoring-as-code solutions that improve operational visibility.

• Contribute to platform engineering initiatives focused on reliability, scalability, and operational excellence.

• Drive adoption of observability standards, telemetry contracts, and engineering best practices

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.), Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Designs, builds, and implements enterprise infrastructure technology platforms and systems across cloud, network, database, storage, platform, computing, or middleware domains.
2. Applies automation, monitoring, and optimization techniques to ensure high availability and performance of infrastructure.
3. Manages infrastructure engineering projects and processes aligned with organizational policies and regulatory requirements.
4. Collaborates with cross-functional teams and stakeholders to integrate new technologies and continuously improve infrastructure standards and processes.
5. Troubleshoots and resolves complex technical issues impacting infrastructure performance and reliability.
6. Supports compliance with technology strategies, standards, and governance to mitigate risks and ensure regulatory adherence.
7. Reviews and guides infrastructure designs, configurations, and procedures to support operational consistency and knowledge sharing.
8. Provides technical guidance and direction to lower-level technical professionals.
9. Develops technical solutions with deep analysis of infrastructure systems and leads infrastructure processes.

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree in Computer Science, Engineering, Information Systems, a related field, or equivalent education, training, and work-related experience.
2. Minimum of 5 years of professional experience in infrastructure engineering.
3. Strong knowledge of enterprise infrastructure technologies including cloud, network, database, storage, platform, computing, and middleware.

Preferred Qualifications

• Strong software engineering experience in Python, Java, Go, .NET, or similar languages.
• Experience with OpenTelemetry, distributed tracing, metrics, and logging.
• Knowledge of modern observability platforms such as Dynatrace, Splunk, Grafana, Datadog, or similar tools.
• Experience with APIs, CI/CD pipelines, Infrastructure as Code, and automation frameworks.
• Understanding of cloud platforms, microservices, Kubernetes, and event-driven architectures.
• Passion for building reusable solutions that enable engineering teams at scale.