Senior Enterprise SRE: Reliability & Observability

Trigint Solutions LLC; Atlanta (GA); Hybrid; USD 124,000 - 220,000; Full time

Job summary

Trigint Solutions LLC in Atlanta seeks an experienced Enterprise Site Reliability Engineer to advance reliability, observability, and automation across the organization. This hands-on role spans SRE, cloud, platform, security, and IT domains, requiring strong engineering judgment and the ability to influence practices beyond direct authority.

You will lead incident investigations, design end-to-end observability, develop production-grade automation, and translate data into actionable roadmaps.

Qualifications

• 8+ years of experience in Site Reliability Engineering, Production Engineering, Platform Engineering, or software engineering for large-scale production systems.
• Deep knowledge of SRE principles, operational excellence, distributed systems, microservices, APIs, and cloud-native architecture.
• Deep hands-on experience architecting, operating, and troubleshooting large-scale AWS environments across compute, containers, serverless, networking, databases, storage, identity, and cloud observability.
• Strong hands-on experience with Kubernetes and Red Hat OpenShift Service on AWS (ROSA) architecture, operations, performance, and troubleshooting.
• Strong experience with OpenTelemetry, distributed tracing, logs, metrics, events, and Dynatrace or a comparable enterprise observability platform.
• Experience defining and operationalizing SLIs, SLOs, error budgets, production readiness criteria, and reliability scorecards.
• Demonstrated ability to assess application architecture and operational maturity from observability, reliability, resilience, and operability perspectives.
• Strong software development skills in Python, Java, Go, JavaScript/TypeScript, or similar languages.

Responsibilities

• Define and advance enterprise SRE standards for SLIs, SLOs, error budgets, production readiness, incident management, and operational excellence.
• Establish practical observability standards for OpenTelemetry, traces, logs, metrics, events, telemetry correlation, tagging, data quality, and service ownership.
• Conduct thorough application maturity assessments across observability, reliability, resilience, operability, automation, and incident readiness.
• Analyze application architecture and production operations to uncover dependencies, failure modes, capacity constraints, performance bottlenecks, and risks that may not be immediately visible.
• Connect technical and operational findings to customer experience, business impact, service risk, and investment priorities.
• Translate assessments and operational data into clear, prioritized, and measurable improvement roadmaps.
• Influence architecture and engineering decisions by recommending reliability patterns such as fault isolation, graceful degradation, circuit breakers, retries, rate limiting, load shedding, high availability, and disaster recovery.
• Design end-to-end observability across distributed services, APIs, business transactions, customer journeys, cloud platforms, and cross-domain dependencies.
• Develop production-grade automation, applications, APIs, and integrations that reduce toil, improve consistency, and scale reliability practices across the enterprise.
• Automate service onboarding, telemetry validation, SLO reporting, production readiness checks, incident enrichment, and remediation workflows.
• Integrate observability, cloud, CI/CD, IT service management, incident management, and configuration platforms using APIs, SDKs, webhooks, and event-driven patterns.
• Lead complex incident investigations and post-incident reviews, challenge assumptions, identify contributing factors, and drive corrective actions through completion.
• Analyze operational and observability data to detect patterns, quantify risks, identify systemic gaps, and generate actionable insights for engineers and leaders.
• Proactively identify opportunities to improve application operability, resilience, telemetry, support readiness, and operational processes before issues affect customers.
• Define observability for AI agents and AI-enabled applications, including workflows, model and tool interactions, dependencies, latency, failures, quality, token consumption, cost, and reliability.
• Use AI-assisted engineering tools such as Kiro, GitHub Copilot, and AI agents to accelerate development, incident analysis, correlation, pattern detection, and operational insights.
• Develop reusable reference architectures, engineering patterns, assessment frameworks, maturity models, scorecards, and implementation guidance.
• Work with SREs and engineering teams across the organization to resolve cross-domain reliability issues and promote consistent practices.
• Mentor engineers, facilitate difficult technical decisions, constructively challenge existing approaches, and build alignment across teams.
• Communicate complex technical risks, business impact, recommendations, and progress clearly to engineering teams and senior leadership.

Skills

SRE Principles

Observability

Incident Leadership

Automation

Cloud-Native

Tools

Kubernetes

ROSA

OpenTelemetry

Dynatrace

AWS

REST APIs

Git

CI/CD

IaC

Job description

Trigint Solutions LLC in Atlanta seeks an experienced Enterprise Site Reliability Engineer to advance reliability, observability, and automation across the organization. This hands-on role spans SRE, cloud, platform, security, and IT domains, requiring strong engineering judgment and the ability to influence practices beyond direct authority.

You will lead incident investigations, design end-to-end observability, develop production-grade automation, and translate data into actionable roadmaps.