Cloud Architect / DevOps Engineer

Innovated Studios builds high-traffic, high-expectation interactive systems for world-class brands. That means cloud architecture, on-prem edge deployments, media pipelines, and production-grade observability, all working together.

What you’ll do

• Design and own cloud architecture for multi-tenant platforms, real-time services, and event-driven systems.
• Build deployment systems that are boring in production: CI/CD, release automation, safe rollouts, rollback plans, and environment parity.
• Operationalize “edge + cloud” deployments when needed, including secure networking, device provisioning, and reliable updates.
• Run the reliability playbook: SLOs, alerting, on-call hygiene, incident response, postmortems, capacity planning, and cost control.
• Create opinionated platform primitives (templates, Terraform modules, Helm charts, pipelines) so teams ship faster with fewer mistakes.
• Harden security by default: secrets management, IAM, least privilege, network segmentation, audits, and compliance-friendly logging.
• Make observability actually usable: traces, logs, metrics, dashboards, and alert tuning that engineers trust.
• Partner closely with product and engineering to turn “it works on my machine” into repeatable, scalable delivery.

You’re a great fit if you…

Have 5+ years in DevOps / SRE / Cloud Architecture (or equivalent battle scars and proof).

Have shipped systems with real uptime requirements and know what breaks first.

Can design across compute, networking, security, and data without creating a maze.

Are comfortable jumping between deep technical work and clear communication with non-infra stakeholders.

Think in automation and primitives, not one-off fixes.

• Care about cost as a first-class constraint (FinOps mindset).

Required skills

• Cloud architecture (Azure preferred, AWS/GCP welcome): networking, IAM, load balancing, autoscaling, managed databases, queues.
• Infrastructure as Code: Terraform (preferred), Pulumi, Bicep, or equivalent.
• Containers and orchestration: Docker, Kubernetes (AKS/EKS/GKE) and/or serverless container platforms.
• CI/CD: GitHub Actions, Azure DevOps, GitLab CI, or similar, with strong release discipline.
• Observability stack: OpenTelemetry, Prometheus, Grafana, Loki, Sentry, ELK, or equivalent.
• Security fundamentals: secrets management (Vault/Key Vault), RBAC, network policies, secure SDLC.
• Systems debugging: Linux, networking, performance bottlenecks, log forensics.

Strong pluses (depending on project)

• Media + real-time systems: WebRTC, RTSP, FFmpeg, MediaMTX, GStreamer, CDN strategies, streaming reliability.
• Event-driven architectures: Service Bus/Kafka/RabbitMQ, retries, DLQs, idempotency, backpressure.
• GPU workloads: CUDA environments, model serving, batching, throughput tuning, containerizing inference.
• Edge deployments: device fleet management, remote updates, offline-first patterns, secure tunnels/VPNs.

What success looks like (first 60–90 days)

• You’ve stabilized and standardized our deployment patterns across environments.
• We have clearer SLOs, better dashboards, fewer noisy alerts, and faster incident resolution.
• Teams are shipping faster because the platform “just works.”
• Costs are more predictable, and performance is measurably improved.

How we work

Small teams, high ownership, minimal bureaucracy.

• We value speed, but never at the expense of reliability and security.
• We ship, we measure, we iterate.