DevOps Engineer

Senior / Staff DevOps Engineer (Platform \& Reliability)

Location:

Remote (U.S. or Canada)

Company:

Peerlogic

The Role

Peerlogic is hiring a

Senior / Staff DevOps Engineer

to own the platform, infrastructure, and reliability of a production system that spans

application services, AI/ML workloads, and real-time voice infrastructure

.

You are replacing a strong DevOps leader and not building from scratch. The system works. Your job is to

make it exceptional

.

This is not a support role.

This is not a ticket-driven role.

You will:

• Own reliability end-to-end
• Make architectural decisions with real consequences
• Operate in ambiguity without waiting for direction

If you prefer clearly defined scopes, narrow ownership, or “assigned work,” this is not the role.

What You’ll Own

Platform \& Infrastructure

• End-to-end ownership of

cloud \+ hybrid infrastructure

(AWS, GCP, and physical environments)

• Multi-region architecture targeting

99\.999% uptime

• Kubernetes clusters and container orchestration across all services
• CI/CD pipelines (GitHub Actions); reliability, speed, and developer experience
• Infrastructure as Code (Terraform, Ansible)

Reliability \& Observability

• Design and enforce

SLOs, SLIs, and error budgets

• Build a

best-in-class observability stack

(metrics, logs, traces)

• Drive incident response, postmortems, and systemic fixes (not band-aids)
• Reduce MTTR and eliminate repeat incidents

Data \& Event Systems

• Ownership of

event-driven architecture

(RabbitMQ or equivalent)

• Ensure

durability, replayability, and correctness

of pipelines

• Design and maintain

backfill and recovery strategies

• Improve debuggability of asynchronous systems

AI / ML Infrastructure

• Operate and scale

LLM-powered systems

(Bedrock, SageMaker, or equivalent)

• Manage inference workloads with a focus on:
• Latency
• Cost
• Reliability
• Build and maintain:
• Evaluation pipelines
• Dataset versioning
• Reproducible ML workflows

Performance \& Cost

• Own

infrastructure cost efficiency

across:

• Compute
• Storage
• LLM usage
• Continuously optimize tradeoffs between:
• Performance
• Reliability
• Cost

Security \& Compliance

• Own infrastructure posture for

SOC 2 and HIPAA

• Ensure secure handling of PHI (encryption, access controls, auditability)
• Implement and enforce:
• Secrets management
• IAM best practices
• Network isolation
• Partner with compliance tooling (e.g., Sprinto)

What You Will NOT Own

• SIP routing, dial plans, or telecom call flows
• Carrier integrations or VoIP-specific logic

(You will collaborate closely with a dedicated VoIP Infrastructure Engineer where systems intersect.)

What We’re Looking For

Experience

• 5–10\+ years in DevOps, SRE, or Infrastructure Engineering
• Proven ownership of

production systems at scale

• Experience operating

multi-region, high-availability systems

Technical Depth

Strong hands-on experience with:

• Kubernetes, ECS, and containerized systems
• Terraform and infrastructure as code
• CI/CD systems (GitHub Actions preferred)
• Networking fundamentals (TCP/IP, DNS, ip tables, load balancing)

You should also:

• Be comfortable writing code (Python, Go, or similar)
• Have experience with

real-time or low-latency systems

• Understand

event-driven architectures

deeply

Mindset (this matters more than tools)

• You take ownership beyond your “area”
• You fix root causes, not symptoms
• You make decisions with incomplete information
• You care about

systems, not just infrastructure

Our Stack (Partial)

• AWS, GCP, Kubernetes
• Python, Postgres
• RabbitMQ / async pipelines
• LLM systems (multi-agent, inference pipelines)
• VoIP \+ EHR integrations (adjacent systems)

What Success Looks Like

Within 3–6 months:

• Reliability improves measurably (fewer incidents, faster recovery)
• Observability provides

clear, actionable insights

across systems

• CI/CD becomes faster, safer, and more predictable
• Event-driven systems are easier to debug and recover

Within 6–12 months:

• Platform operates at or near

5-nines reliability

• Infrastructure scales cleanly across app, AI, and voice workloads
• AI systems are

cost-efficient and production-grade

• Engineering velocity increases due to strong platform foundations

Team \& Environment

• \~10 person engineering team
• Reports directly to CTO
• High-ownership, fast-moving startup
• Expectation of after-hours ownership when needed

Compensation

• $140K – $180K CAD base (flexible for Senior vs Staff)
• Equity included
• Will stretch for the right candidate

Why This Role Matters

Peerlogic sits at the intersection of

healthcare, AI, and real-time communication

.

This role ensures the platform is:

• Fast enough for real-time interaction
• Reliable enough for healthcare workflows
• Scalable enough to support rapid growth