Operations Engineer II

Summary

AWeber is a remote-first company providing marketing communication software that helps small businesses build customer connections and grow. The Operations Engineer II will design and build solutions for AI agents, review agent-generated infrastructure code, and help keep the operational platform reliable, secure, and fast. The role includes infrastructure provisioning, monitoring and alerting, production support, release coordination, and participation in a 24x7 on-call rotation.

Responsibilities

• Designing and building solutions for AI agents to implement
• Reviewing agent-generated configuration and code for quality, correctness, and maintainability
• Coordinating that work across systems
• Provisioning infrastructure
• Tuning monitoring and alerting
• Participating in our 24x7 on-call rotation
• Defining infrastructure as code in Terraform
• Reviewing an agent's proposed Kubernetes change before it ships
• Wiring up a new alert in Grafana so the next incident gets caught sooner
• Generating documentation that’s usable by both humans and AI agents
• Working a release through GitHub and our deployment pipeline
• Manage context switches and competing priorities without losing quality or your footing
• Care about outcomes over output, and hold yourself to delivering results, not just tickets closed
• Have a growth mindset — you learn from experience and iterate on how you work, including how you work with AI
• Are self-motivated to adopt AI-assisted development practices rather than waiting to be told to
• Have a bias for action and real ownership mentality, balanced with the humility to ask for help
• Stay resilient through setbacks, shifting priorities, and ambiguity, without letting quality slip
• Connect your day-to-day work to customer impact, and bring that perspective to your teammates
• Are comfortable working autonomously on small-to-medium projects, while staying highly collaborative with the rest of the team
• Experience in a 24x7 on-call rotation (incident response, mitigation, root cause analysis), troubleshooting across Linux and Mac-based environments, and using Git or Mercurial for version control
• Experience with containerized, cloud-based infrastructure — Kubernetes, Docker, and infrastructure-as-code tools like Terraform or CloudFormation on AWS, GCP, or similar
• Comfort with shell scripting and Python, and experience configuring monitoring and alerting with tools like Grafana, Prometheus, PagerDuty, or Sentry
• Solid grasp of networking fundamentals (DNS, VPN, load balancing, subnetting) and security concepts (firewalls, secrets management, IAM, PKI), with practical experience applying them

Skills

• * Are detail‑oriented and genuinely curious — you want to know *why* something broke, not just that it's fixed
• * Can manage context switches and competing priorities without losing quality or your footing
• * Care about outcomes over output, and hold yourself to delivering results, not just tickets closed
• * Have a growth mindset — you learn from experience and iterate on how you work, including how you work with AI
• * Are self‑motivated to adopt AI‑assisted development practices rather than waiting to be told to
• * Have a bias for action and real ownership mentality, balanced with the humility to ask for help
• * Stay resilient through setbacks, shifting priorities, and ambiguity, without letting quality slip
• * Connect your day‑to‑day work to customer impact, and bring that perspective to your teammates
• * Are comfortable working autonomously on small‑to‑medium projects, while staying highly collaborative with the rest of the team
• * Bachelor's degree in a STEM‑related field or equivalent work experience, plus 2+ years in a platform engineering or systems/operations role
• * Working knowledge of AI development tools and coding assistants, with comfort using them in day‑to‑day implementation work
• * Strong analytical and troubleshooting skills — you fix root causes, not just symptoms — paired with the communication skills to translate technical issues for different audiences
• * Experience in a 24x7 on‑call rotation (incident response, mitigation, root cause analysis), troubleshooting across Linux and Mac‑based environments, and using Git or Mercurial for version control
• * Experience with containerized, cloud‑based infrastructure — Kubernetes, Docker, and infrastructure‑as‑code tools like Terraform or CloudFormation on AWS, GCP, or similar
• * Comfort with shell scripting and Python, and experience configuring monitoring and alerting with tools like Grafana, Prometheus, PagerDuty, or Sentry
• * Solid grasp of networking fundamentals (DNS, VPN, load balancing, subnetting) and security concepts (firewalls, secrets management, IAM, PKI), with practical experience applying them

Qualifications

Must Haves

• * Are detail‑oriented and genuinely curious — you want to know *why* something broke, not just that it's fixed
• * Can manage context switches and competing priorities without losing quality or your footing
• * Care about outcomes over output, and hold yourself to delivering results, not just tickets closed
• * Have a growth mindset — you learn from experience and iterate on how you work, including how you work with AI
• * Are self‑motivated to adopt AI‑assisted development practices rather than waiting to be told to
• * Have a bias for action and real ownership mentality, balanced with the humility to ask for help
• * Stay resilient through setbacks, shifting priorities, and ambiguity, without letting quality slip
• * Connect your day‑to‑day work to customer impact, and bring that perspective to your teammates
• * Are comfortable working autonomously on small‑to‑medium projects, while staying highly collaborative with the rest of the team
• * Bachelor's degree in a STEM‑related field or equivalent work experience, plus 2+ years in a platform engineering or systems/operations role
• * Working knowledge of AI development tools and coding assistants, with comfort using them in day‑to‑day implementation work
• * Strong analytical and troubleshooting skills — you fix root causes, not just symptoms — paired with the communication skills to translate technical issues for different audiences
• * Experience in a 24x7 on‑call rotation (incident response, mitigation, root cause analysis), troubleshooting across Linux and Mac‑based environments, and using Git or Mercurial for version control
• * Experience with containerized, cloud‑based infrastructure — Kubernetes, Docker, and infrastructure‑as‑code tools like Terraform or CloudFormation on AWS, GCP, or similar
• * Comfort with shell scripting and Python, and experience configuring monitoring and alerting with tools like Grafana, Prometheus, PagerDuty, or Sentry
• * Solid grasp of networking fundamentals (DNS, VPN, load balancing, subnetting) and security concepts (firewalls, secrets management, IAM, PKI), with practical experience applying them

Benefits

• 100% Remote
• Strong culture that supports flexibility, entrepreneurialism, and collaboration.
• 100% Company Paid PPO medical, dental, vision insurance (spousal and domestic partner benefits available).
• 4-7 weeks of paid time off and holidays (based on tenure).
• 4 week paid sabbatical (based on tenure).
• 401K retirement plan with 4% company match.
• Company Profit Share.
• Home office equipment and internet stipend.
• Tuition reimbursement, conferences, and learning opportunities.
• Gym Memberships Reimbursement.
• Company Paid Short Term Disability Insurance.
• Company Paid Life Insurance.
• Additional Supplemental Benefits (Long Term Disability, Critical Illness, and Additional Life Insurance).