DevOps Engineer jobs

What the job actually is

Build and maintain CI/CD pipelines, manage cloud infrastructure, and automate deployment processes. Ensure system reliability, scalability, and security across development and production environments.

Typical setup: a mid-level role, full-time, remote workplace.

What a day actually looks like

The day starts by checking overnight alerts in PagerDuty and the state of the pipelines, then standup with the platform or infrastructure team. Project work might be writing a Terraform module for a new service, upgrading a Kubernetes node group, or fixing a flaky GitHub Actions workflow that developers keep complaining about in Slack. Expect regular interrupts: a developer whose deploy is stuck, a Grafana alert about pod memory, a security ticket about an unpatched image. On-call weeks reshape everything, and a bad incident can mean an afternoon in a war room followed by writing the postmortem. The best days are heads-down automation work; the honest average day is half planned work, half interrupts.

What hiring teams expect

The responsibilities that show up in real postings for this role:

• Build and maintain CI/CD pipelines that let developers ship safely and frequently
• Provision and manage cloud infrastructure with Terraform, keeping everything version-controlled and peer reviewed
• Operate and troubleshoot Kubernetes clusters in production, including upgrades, autoscaling, and cost tuning
• Implement monitoring, alerting, and logging, and improve incident response runbooks
• Participate in an on-call rotation and lead post-incident reviews
• Automate away manual toil and build self-service tooling for engineering teams

Qualifications

Experience: 3 to 6 years in DevOps, SRE, cloud infrastructure, or systems engineering. Education: Bachelor's degree in Computer Science or a related field, or equivalent experience (frequently waived for strong hands-on candidates).

Certifications that carry weight on this resume:

• AWS Certified Solutions Architect Associate
• Certified Kubernetes Administrator (CKA)
• AWS Certified DevOps Engineer Professional
• HashiCorp Certified: Terraform Associate

Attributes interviewers probe for: automation-focused, problem solver, systems thinker, security-conscious, collaborative.

Tools of the trade

What this role actually works in day to day:

• Terraform
• Kubernetes (kubectl, Helm)
• GitHub Actions
• ArgoCD
• Datadog or Grafana/Prometheus
• PagerDuty
• AWS Console and CLI
• Slack

How success is measured

The numbers this role is judged on:

• Deployment frequency and change failure rate (DORA metrics)
• Mean time to recovery on incidents
• Service uptime and SLO attainment
• Reduction in manual toil (automation shipped, developer self-service adoption)
• Cloud cost efficiency of owned infrastructure

How to break in

The entry paths that actually work:

• Start in sysadmin, IT operations, NOC, or cloud support roles and automate your own job with Python, Terraform, and CI tooling
• Move internally from a software engineering seat by owning your team’s pipelines and infrastructure
• Earn AWS Solutions Architect Associate plus CKA and build a public homelab or GitHub portfolio with real Terraform and Kubernetes projects
• Target managed service providers and consultancies that hire earlier-career cloud engineers and provide broad multi-client exposure

How hiring usually works

A recruiter screen comes first, then typically a technical screen with a hiring manager or senior engineer that is scenario-heavy (debug this outage, design this pipeline) rather than LeetCode-heavy, followed by a loop with a hands-on or take-home exercise (Terraform module, pipeline build), an infrastructure design round, and a behavioral round often focused on incident stories. Resumes are screened hard for specific tool keywords (Kubernetes, Terraform, AWS), so exact naming matters more than for most roles. Pipelines usually run 3 to 5 weeks with responses within about a week per stage.

Companies known for this role

Examples of companies that regularly hire this profile: Amazon Web Services, Datadog, Cloudflare, Fidelity Investments, GitLab. Use them to calibrate your target list, then build your own tier of companies that fit you.

Worth knowing

Many companies are relabeling this role as platform engineer with the same core skills, so search both titles; on-call is nearly universal and worth asking about directly (rotation frequency and comp) before accepting an offer.

Words that show up in postings

The terms current postings use. Work them into your bullets where they are true of you.

• AWS (EKS, EC2, IAM, VPC)
• Kubernetes
• Terraform
• CI/CD (GitHub Actions, GitLab CI, or Jenkins)
• Docker and containerization
• Linux administration
• Python or Bash scripting
• GitOps (ArgoCD or Flux)
• Monitoring and observability (Prometheus, Grafana, Datadog)
• Helm
• Infrastructure as Code best practices
• Platform engineering and internal developer platforms (Backstage)
• Service mesh (Istio)
• Azure or GCP
• Security scanning in pipelines (Snyk, Trivy)
• Kafka or event streaming infrastructure
• AIOps or AI-assisted incident tooling

Purple: asked for in most postings. Outlined: nice to have.

Interview questions to prepare for

1. 1A deployment is failing in Kubernetes and the pod is in CrashLoopBackOff. Walk me through how you debug it.
2. 2How would you design a CI/CD pipeline for a team of 30 developers deploying multiple times a day?
3. 3Explain how you structure Terraform for multiple environments and manage state.
4. 4Tell me about the worst production incident you handled. What was the root cause and what changed afterward?
5. 5How do you approach GitOps, and when would you pick ArgoCD over pushing from CI?