Be ready to go over:

• Cluster networking – Configuring CNI plug-ins, understanding Kube-Proxy modes, and optimizing container-to-container communication.
• Resource management – Setting appropriate requests/limits, configuring cluster autoscalers, and debugging Out-Of-Memory (OOM) kills and CPU throttling.
• Security hardening – Implementing Network Policies, Role-Based Access Control (RBAC), and securing container images in the build pipeline.
• Advanced concepts (less common) – Writing custom Admission Controllers, configuring Service Mesh traffic splitting, and managing stateful applications using operators and persistent volumes.

Example questions or scenarios:

• "A microservice in our Kubernetes cluster is experiencing sporadic 502 Bad Gateway errors. Walk us through your complete debugging flow, from the ingress level down to the container runtime."
• "How would you design a secure, multi-tenant Kubernetes platform where different engineering teams can deploy workloads without accessing each other's resources or secrets?"

Automation & Infrastructure-as-Code

We expect our engineers to treat infrastructure as software. You will be evaluated on your ability to build maintainable, modular, and secure IaC codebases and CI/CD pipelines.

Be ready to go over:

• State management – Handling remote state, locks, and state recovery in Terraform.
• CI/CD pipeline design – Building automated testing, linting, and security scanning (e.g., tfsec, Checkov) into deployment pipelines.
• Configuration management – Balancing declarative IaC (Terraform) with configuration management tools (Ansible, Packer) for VM provisioning.
• Advanced concepts (less common) – Developing custom Terraform providers, blue-green infrastructure deployments, and GitOps-based CD patterns (ArgoCD or Flux).

Example questions or scenarios:

• "How would you design a CI/CD pipeline that allows developers to safely deploy database schema migrations alongside microservice updates without risking data corruption or downtime?"
• "Describe how you would automate the rotation of database credentials across hundreds of microservices with zero downtime."

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As a DevOps Engineer at Unify, your daily work will directly impact our engineering velocity and platform reliability. You will spend your time building platform tooling, optimizing infrastructure, and collaborating across teams.

You will be responsible for designing, provisioning, and maintaining Unify's cloud infrastructure using Terraform, ensuring high availability, security, and optimal resource utilization. A significant portion of your role involves partnering with backend and data engineers to architect scalable deployment patterns for our high-throughput data pipelines and real-time APIs. You will own the health of our production environment by building comprehensive observability frameworks using tools like Prometheus, Grafana, and distributed tracing systems.

Additionally, you will drive operational excellence by automating manual tasks, optimizing CI/CD workflows, and participating in a collaborative on-call rotation. As a senior member of the team, you will author detailed post-mortems to ensure we continuously learn from production incidents, and you will mentor other engineers on cloud-native best practices, performance tuning, and system reliability.

We are looking for seasoned systems engineers who are passionate about automation, scale, and building developer-friendly platforms.

• Must-have technical skills – Strong proficiency in cloud infrastructure (AWS or GCP), expert-level experience with Kubernetes, and deep knowledge of Infrastructure-as-Code (specifically Terraform). You must also possess strong scripting and automation capabilities in Go or Python.
• Must-have experience – A solid track record (typically 5+ years for Senior, 8+ years for Staff/Tech Lead) of managing high-scale, distributed production environments, with a proven ability to troubleshoot complex networking, OS, and distributed systems issues.
• Soft skills – Exceptional communication skills, a collaborative mindset, and the ability to explain complex architectural concepts to both technical and non-technical stakeholders.
• Nice-to-have skills – Experience scaling distributed data layers (Elasticsearch, PostgreSQL, Kafka), familiarity with GitOps workflows (ArgoCD), and a background in platform engineering or developer experience tooling.

Q: What is the typical timeline for the interview process? A: The entire process, from the initial recruiter screen to a final offer, typically takes between 2 to 4 weeks. We value your time and work hard to provide prompt feedback after each stage of the interview loop.

Q: How much coding should I expect in the DevOps/SRE track? A: Coding is a core part of the role at Unify. While we do not ask esoteric dynamic programming questions, you will face practical coding challenges focused on systems automation, API integration, and log parsing. You should be highly comfortable writing clean, readable code in either Go or Python.

Q: What are the hybrid or remote work expectations for this role? A: Depending on the specific posting and location (such as San Francisco or New York), we offer both hybrid and fully remote options within the United States. For hybrid roles, engineers typically spend 2 to 3 days a week in our collaborative local offices.

Q: How is the on-call rotation structured? A: We practice a healthy, distributed on-call culture. Our product and platform teams share operational ownership. You will participate in a blameless, tiered on-call rotation focused on sustainable engineering, where every alert is actionable and post-mortems are used to systematically eliminate recurring issues.

To help you put your best foot forward, here is some insider advice from our engineering team:

• Think out loud: During system design and coding sessions, explain your thought process in real-time. This allows the interviewer to understand your methodology, even if you run out of time or make a minor mistake.
• Focus on trade-offs: There are rarely single "correct" answers in systems engineering. Always present multiple options and explain the pros and cons of each (e.g., consistency vs. availability, cost vs. performance).
• Emphasize simplicity: Avoid over-engineering. A simple, maintainable architecture that solves the immediate problem while allowing for future scaling is always preferred over a highly complex, fragile system.

• Show a passion for developer experience: Excellent DevOps and SRE teams do not just build infrastructure; they build platforms that make other engineers faster and safer. Highlight times when you built tools that improved developer velocity.

A DevOps Engineer role at Unify offers an incredible opportunity to shape the platform architecture of a rapidly growing, data-intensive GTM platform. You will work on cutting-edge distributed systems, solve genuine scaling challenges, and directly influence our engineering culture. By focusing your preparation on systems design, container orchestration, and practical systems coding, you can set yourself up for a highly successful interview experience.

The salary ranges listed above represent the base compensation for our Senior, Staff, and Senior Staff SRE roles across major tech hubs like San Francisco and New York. At Unify, we believe in attracting top-tier engineering talent and offer highly competitive packages that include significant equity ownership and comprehensive benefits. Your level and final compensation will be determined based on your technical depth, leadership experience, and performance throughout the interview loop.

To dive deeper into real-world interview experiences, salary benchmarks, and comprehensive preparation resources, explore additional community-sourced insights on Dataford. Focus on masterfully structuring your technical stories, reviewing core systems concepts, and practicing your system design flows. We wish you the best of luck and look forward to seeing how you can help us build the future of GTM infrastructure at Unify!