SRE specialist

Intact Financial Corporation

Montreal (Hybride)
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Gestion des risques Intelligence artificielle SQL +12 autres

Détails du poste

  • Lieu de travail : Montreal (Hybride)
  • Type de poste : Permanent à temps plein
  • Salaire : 109 900,00$ - 134 300,00$ /an
  • Horaire de travail : Horaire flexible

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

109,900 - 134,300

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

15%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We are seeking a hands-on Site Reliability Engineer within the Intelligent Operations Department’s SRE & Resiliency team. This role operates across Azure, AWS, GCP, and on‑prem environments, embedded in the broader enterprise resiliency and production reliability strategy. The SRE will function as part of a special investigations unit that empowers and enables Applicative Support, Infrastructure Support, and the Incident Management team—coaching, guiding, and leading investigations into active incidents and proactive reliability improvements. Core responsibilities include deep investigations, advanced observability (OpenTelemetry, Dynatrace, Elastic), auto-healing tooling, SLI/SLO stewardship, and business-aligned reliability reporting.

What you'll do here:

Incidents & Investigations

  • Lead high‑severity investigations and RCA with App/Infra/Incident teams.

  • Proactively find systemic risks and resilience gaps; drive durable fixes.

  • Run blameless post‑mortems and coach teams.

Observability (OTel, Dynatrace, Elastic)

  • Implement end‑to‑end traces/metrics/logs with consistent semantics.

  • Build insights and anomaly detection; create topology‑aware health models.

  • Integrate synthetics, contract tests, and distributed tracing.

Auto‑Healing & Reliability Tooling

  • Build policy‑driven remediation (circuit breakers, throttling, retries).

  • Enable progressive delivery (blue/green, canary) with safe rollbacks.

  • Provide resilience tooling: validation, safeguards, chaos, DR, runbooks.

SLI/SLOs & Reporting

  • Define user‑centric SLIs/SLOs; enforce error budget policies.

  • Publish reliability reports and scorecards; drive continuous improvement.

Coaching & Leadership

  • Upskill support/incident teams; standardize playbooks and training.

  • Promote automation‑first, data‑driven, resilience culture.

Cloud & Platform Reliability

  • Operate across Azure/AWS/GCP/on‑prem; GLB, DNS, TLS, CDN, failover.

  • Improve K8s/mesh (AKS/EKS/GKE, Istio/Linkerd) and data/streaming resilience.

AI for Reliability

  • Use AI for causal detection/anomalies to cut MTTR.

  • Develop reliability copilots; monitor AI systems for reliability and cost.

What you bring to the table:

  • 8+ years of experience in SRE/Platform/Infrastructure/Software Engineering operating large-scale production systems across multi-cloud and on‑prem.

  • Strong proficiency in:

    Observability: OpenTelemetry instrumentation and standards; Dynatrace (Davis AI, SmartScape, service-level analysis, baselining); Elastic/ELK (Beats/Agent, ingest pipelines, ILM, Kibana).

    Reliability engineering: SLIs/SLOs/SLAs, error budgets, alert strategy, capacity modeling, graceful degradation, circuit breaking, retries/backoff.

    CI/CD and deployment patterns: blue/green, canary, progressive delivery, automated rollback, pipeline safeguards.

    Kubernetes and service meshes; platform-level resilience and operability.

    Data and event systems: replication, snapshots/PITR, CDC, streaming (Kafka, RabbitMQ, Pub/Sub) with DLQs/reprocessing; dependency risk management.

    Networking and traffic: DNS, load balancers, CDN/edge, TLS/mTLS; fundamentals of BGP and global traffic management.

  • Solid software engineering skills in at least one of: Go, Python, or TypeScript; experience with IaC (Terraform), GitOps (Argo CD/Flux), and policy-as-code.

  • Experience running chaos engineering, game days, and DR exercises; ability to design safe experiments and embed learnings into production hardening.

  • Excellent communication (written, visual, verbal); adept at coaching, leading investigations, and presenting to mixed technical/business audiences.

  • Bilingual (French and English): Need to interact on a regular basis with an English-speaking clientele and colleagues across the country.

  • No Canadian work experience required however must be eligible to work in Canada

#LI-Hybrid

Il s'agit d'un nouveau rôle au sein de notre équipe en plein croissance | This role is a new member of our growing team.