6 days ago
Remote, United StatesStaff+
Responsibilities
- Define a reusable agentic platform engineering approach including shared tool interfaces, workflows, coding conventions, evaluation harnesses, telemetry, and adoption patterns.
- Build agents and tools integrated with Terraform, Kubernetes, Argo CD, cloud APIs, CI/CD systems, API gateways, Kafka, Redis, databases, observability tools, and change-management systems.
- Develop AI-supported workflows for code review, infrastructure planning, module and chart creation, testing, dependency analysis, deployment, scaling, and secure pull requests.
- Build day-two operational agents for health and drift detection, incident triage, diagnostics, root-cause hypotheses, capacity analysis, upgrade readiness, runbook assistance, and recovery verification.
- Implement controlled workflows that progress from read-only diagnosis to recommended actions and policy-authorized execution with approvals, audit trails, rollback boundaries, and kill switches.
- Use Prometheus, Grafana, Loki, Thanos, Grafana Alloy, and OpenTelemetry to retrieve and correlate operational telemetry and generate verifiable diagnostic recommendations.
- Implement evaluation frameworks for agent correctness, false positives, tool behavior, failure handling, security conformance, and outcome quality before production rollout.
- Embed compliance, explainability, evidence traceability, data minimization, and continuous control validation into agent workflows.
- Partner with security, SRE/CloudOps, and platform teams to establish agent permissions, ownership, escalation paths, and operational boundaries.
- Coach engineers, lead adoption, and measure value through cycle time, toil reduction, diagnostic lead time, quality, safe automation, and reliability metrics.
Requirements
- 7+ years of experience in software or platform engineering, DevOps, or SRE, including production Kubernetes, Terraform, and GitOps experience.
- Strong Python or Go software engineering, API design, testing, integration, and debugging skills.
- Hands-on experience building agentic workflows using LLM APIs, tool or function calling, and orchestration, with the ability to explain system evaluations and failure cases.
- Working knowledge of Azure, GCP, AWS, identity, Kubernetes APIs, Argo CD, CI/CD, observability, and change-management processes.
- Practical experience with Kafka, Redis, relational and document databases, API gateways, Kubernetes networking and security, scaling, deployment failures, and day-two recovery.
- Experience integrating Prometheus, Grafana, Loki, Thanos, Grafana Alloy, or comparable metrics, logging, and telemetry backends.
- Strong security judgment involving privileged tools, least privilege, zero trust, and data access in regulated enterprise environments.
- Ability to coach technical peers, standardize engineering patterns, and introduce practices across teams while maintaining operational reliability.
- Experience working at startup-like pace with ambiguous requirements, rapid iteration, and measurable engineering outcomes.
- Preferred experience with MCP and agent-tool protocols, retrieval, event-driven systems, policy engines, sandboxed execution, and human-in-the-loop workflows.
- Preferred experience with FedRAMP, PCI DSS, SOC 2 technical evidence requirements, auditable automation, cloud networking, Istio, Keycloak, cert-manager, API gateways, DNS, and agents for diagnosis, remediation, deployment safety, or infrastructure change at scale.
- Bachelor degree or equivalent experience in Computer Science or Engineering.
Benefits
- Benefits are offered, though specific benefits are not detailed in the posting.
- The position is listed as remote.
- The posting describes work in regulated enterprise environments and identifies Avaya as an equal opportunity employer and U.S. Federal Contractor.
Tech Stack
Apache KafkaArgo CDAWSAzureGoGoogle Cloud PlatformGrafanaIstioKubernetesPrometheusPythonRedisTerraform
Categories
About Avaya
Avaya builds enterprise communications and contact-center software delivered as UCaaS, CCaaS, and CPaaS, along with services and devices, for large organizations and government agencies. Its portfolio—including the Avaya Infinity platform—supports cloud, hybrid, and on-prem deployments and modernization of legacy voice systems under subscription and support contracts. Founded in 2000 as a Lucent spinoff and now privately held under Silver Lake, Avaya is headquartered in Morristown, New Jersey and serves customers worldwide.