Back to Browse Jobs
MetAntz
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Anywhere · Hybrid · 1-3 Yrs · Oct 18
3 views
1 to 50 Employees · Palo Alto, US
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Cloud & Infrastructure Site Reliability Engineer (SRE)
Responsibilities
- Cloud & Infrastructure Operations: Design, deploy, operate, and troubleshoot cloud-native infrastructure across AWS, Azure, and GCP - including compute, storage, networking, and containers. Handle provisioning, upgrades, patching, and capacity management; resolve connectivity, DNS, and load-balancing issues.
- Site Reliability Engineering: Define and improve SLIs, SLOs, monitor for reliability risks, and drive incident response, root-cause analysis, and post-incident reviews. Automate away recurring operational work and improve system resilience through redundancy and automated recovery.
- Kubernetes & Microservices: Deploy, manage, and troubleshoot containerized microservices on Kubernetes (EKS, AKS, GKE), including ingress, storage, secrets, and cluster health.
- Infrastructure as Code & Automation: Automate provisioning and operational workflows with Terraform, Ansible, Python, and Bash; build reusable IaC modules integrated into CI, CD.
- Monitoring & Observability: Implement monitoring, logging, tracing, and alerting (Prometheus, Grafana, OpenTelemetry, Datadog, CloudWatch, etc.) with meaningful dashboards and low-noise alerting.
- Networking & Security: Troubleshoot cloud networking (VPC, VNet, DNS, VPN, firewalls, load balancers); apply IAM, RBAC, secrets, and least-privilege security practices.
- Incident & Production Support: Participate in on-call rotations, own incidents end-to-end, and maintain runbooks and automated remediation procedures.
- Cost & Performance Optimization: Identify underutilized resources and support FinOps initiatives (rightsizing, scheduling, lifecycle management) while balancing cost with reliability.
Qualifications
- Strong hands-on experience with at least one major public cloud - AWS, Azure, or GCP.
- Solid understanding of Linux administration and infrastructure fundamentals.
- Experience with Kubernetes and containerized microservices.
- Experience with Infrastructure as Code (Terraform and, or Ansible).
- Strong automation, scripting skills in Python and Bash (PowerShell a plus).
- Good understanding of networking, DNS, load balancing, firewalls, and cloud routing.
- Experience with monitoring, logging, alerting, and observability platforms.
- Understanding of CI, CD, Git, APIs, and modern DevOps practices.
- Experience troubleshooting distributed production environments.
- Understanding of security, IAM, RBAC, secrets, certificates, and infrastructure security.
- Familiarity with database operations a plus.
- Experience operating hybrid-cloud or multi-cloud environments.
- Experience with VMware, Nutanix, OpenShift, or similar private-cloud technologies.
- Experience building automated remediation or self-healing workflows.
- Familiarity with AIOps, event correlation, anomaly detection, and AI-assisted operations.
- Understanding of FinOps and cloud cost optimization.
- Experience with ITSM platforms such as ServiceNow.
- Cloud, Kubernetes, Linux, or Terraform certifications (AWS, Azure, GCP) are a strong plus. SRE Mindset
- Automate before repeating, and engineer permanent fixes instead of resolving the same incident twice.
- Treat infrastructure and operational configuration as code.
- Design for failure and recovery, and measure reliability using data.
- Build reusable automation and operational standards.
- Reduce operational toil and unnecessary tickets.
- Continuously improve reliability, performance, security, and cost efficiency.
- Bachelor's or Master's degree in Computer Science or a related field, with minimum of 70%.
- SRE Engineer - 2–6 years of relevant Cloud, Infrastructure, DevOps, SRE experience.
- Cloud certifications (AWS, Azure, or GCP) are a strong plus. Roles and responsibilities
- Design, deploy, operate, and troubleshoot cloud-native infrastructure across AWS, Azure, and GCP. Handle provisioning, upgrades, patching, and capacity management.
- Define and improve SLIs, SLOs, monitor for reliability risks, and drive incident response.
- Automate away recurring operational work.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 25 October 2026
- How do I apply for SRE / Cloud Engineer at MetAntz?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. MetAntz may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this SRE / Cloud Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is SRE / Cloud Engineer remote or on-site in Anywhere?
- This listing is marked hybrid with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this SRE / Cloud Engineer role at MetAntz?
- This is a mid-level SRE / Cloud Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.