DevOps Engineer II

ADT•Whitpain Township, PA

About The Position

We are seeking a DevOps Engineer II to strengthen our platform operations with a focus on reliable infrastructure, automation, and steady delivery of improvements across cloud and supporting systems. You will execute well-scoped platform and operational work with consistency—maintenance, hygiene, pipeline support, observability tasks, and infrastructure changes that follow team standards—and grow into broader ownership of multi-step work as you build depth in our stack (GCP, AWS, Harness, Dynatrace, Kubernetes, and infrastructure as code). This role fits an engineer with a strong foundation in enterprise infrastructure (virtualization, storage, configuration management, backup/recovery, mixed operating environments) who wants to apply that operational discipline to modern DevOps practices in a product-engineering context. You will partner daily with Sr. DevOps Engineer I and II colleagues and your manager for design direction, prioritization, and decisions when scope or trade-offs extend beyond your charter. This role participates in a shared on-call rotation. Cadence depends on team size; at least, expect to be on call approximately once every six weeks. As the team grows, time between rotations typically increases.

Requirements

Bachelor’s degree in Computer Science, Engineering, Management Information Systems, or equivalent practical experience.
5+ years of experience in infrastructure, systems, platform, or DevOps engineering, or a combination of systems administration and automation work that demonstrates comparable depth.
Demonstrated success operating business-critical environments, including accountability for availability, backup and recovery, change control, and participation in an on-call rotation.
Strong hands-on experience with Linux environments, virtualization (for example VMware or comparable hypervisors, and directory/authentication services in distributed systems.
Practical experience with configuration management and scripting (for example Bash, Python) to standardize provisioning and recurring tasks.
Working knowledge of GCP and/or AWS, or proven ability to ramp quickly with mentorship on IAM, compute, networking, and managed services.
Experience with Harness or comparable CI/CD platforms (for example GitHub Actions, GitLab CI, Jenkins); comfortable executing changes within existing pipeline patterns.
Experience with Dynatrace or equivalent APM/observability tools (for example Datadog, Prometheus/Grafana, Splunk, OpenTelemetry).
Familiarity with containerization and Kubernetes (or willingness to build proficiency through structured work and pairing).
Hands-on experience with Terraform, OpenTofu, or Pulumi at the level of contributing within established modules; designs for net-new capabilities are partnered with senior engineers.
Strong operational discipline, attention to detail, and follow-through on recurring work.
Clear communication; raises blockers early; documents assumptions and outcomes.
Growth mindset: receptive to feedback, eager to broaden from deep infrastructure roots into cloud-native platform practices.

Responsibilities

Operate and improve production and non-production infrastructure on Google Cloud Platform (GCP) and Amazon Web Services (AWS) using established patterns, modules, and runbooks.
Contribute to virtualization- and host-level reliability where applicable (capacity, patching cadence, storage and backup health, access and certificate hygiene).
Implement infrastructure changes through infrastructure as code and configuration management, with review from Sr. DevOps Engineer peers.
Support application and platform teams with connectivity, deployment dependencies, and operational troubleshooting within defined scope; escalate when impact is multi-team or architectural.
Maintain and enhance Harness-based CI/CD pipelines using team templates and playbooks.
Troubleshoot pipeline and deployment failures across environments (development, staging, production).
Apply security, compliance, and operational standards; ask for guidance when exceptions are needed.
Implement and maintain observability signals (Dynatrace and related tooling: metrics, traces, logs, alerting) per team standards.
Use runbooks during incident triage; improve documentation based on lessons learned and peer feedback.
Help reduce alert noise and improve signal quality in partnership with development and operations.
Automate repeatable operational tasks with scripting, pipelines, and IaC—preferring extension of existing patterns over one-off solutions.
Own recurring operational work (for example maintenance windows, renewals, backlog grooming for operational tickets, pipeline hygiene) with clear handoffs and follow-through.
Create and update runbooks and operational documentation; incorporate feedback from senior engineers and your manager.
Work effectively with platform, security, networking, identity, and application partners on defined deliverables with clear acceptance criteria.
Learn and apply team standards for cloud, containers, and delivery tooling; time-box discovery when requirements are incomplete and validate assumptions before committing to irreversible changes.
Support mentoring of less-experienced engineers on operational practices when asked; primary expectation for this level is hands-on execution and deepening technical breadth, not org-wide technical leadership.