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Нет информации о зарплатеПродуктовая компанияСовременный стек технологийДомен финтеха
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Fintech) (Python/Kubernetes/AWS): Building observability platforms, automation, and self-healing capabilities for a cloud-native capital markets platform with an accent on production reliability, incident recovery, and operational tooling. Focus on reducing MTTD and MTTR, designing resilient infrastructure workflows, and applying reliability data to engineering priorities.
Location: London, UK
Company
hirify.global provides a unified, cloud-native capital markets platform that gives sophisticated investors access to assets and markets through modern infrastructure, technology, tools, and services.
What you will do
Own the health, resilience, and recovery of production systems while supporting incidents and reducing operational toil.
Design monitoring and observability platforms that reduce alert fatigue and accelerate root-cause analysis.
Develop automation, self-healing capabilities, diagnostic tooling, runbooks, and recovery workflows that reduce MTTD and MTTR.
Analyze incidents and systemic failure trends, then engineer solutions that prevent recurring classes of failures.
Partner with Platform Engineering on CI/CD pipelines, deployment safety, Infrastructure as Code, GitOps, and infrastructure resilience.
Measure production health through SLIs, SLOs, and SLAs, and explore AI-assisted diagnostics and developer tooling.
Requirements
Strong hands-on Python skills as the primary language for automation and tooling.
Experience in SRE, Production Engineering, Platform Engineering, or a related discipline with direct production ownership.
Proven experience building automation and diagnostic tooling that improved recovery times or reduced operational toil.
Deep familiarity with cloud-native technologies, including Kubernetes, containers, and distributed systems, and their production failure modes.
Experience with observability platforms such as Datadog and a strong understanding of effective monitoring.
Exposure to Infrastructure as Code with Terraform and GitOps-based deployment workflows using ArgoCD, GitHub Actions, or similar tools.
Familiarity with Java, Go, Kafka, Redis, Snowflake, PostgreSQL, gRPC, Protobuf, internal platform APIs, and developer tooling.
Strong analytical, problem-solving, communication, initiative, product mindset, and continuous-learning skills, with the ability to work across engineering, operations, and business stakeholders with minimal supervision.
Nice to have
Fintech or financial industry background.
Culture & Benefits
Reliability is treated as a product, with uptime and engineer experience as key goals.
Work spans engineering and operations teams to identify failure modes, quantify reliability gaps, and build scalable platform capabilities.
Success is measured through improved reliability, reduced manual toil, faster recovery, and adoption of observability and diagnostic tools.
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