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# Platform Reliability Engineer

- **Company:** LTD Global
- **Location:** Mundelein, IL, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Systems, Distributed Systems, Domain Name System (DNS), Fault Tolerance, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Octopus Deploy, Redis, TypeScript, Datadog, System Availability, Delivery Pipeline, Snowflake, Firewalls (Computer Science), Kubernetes, Apache Kafka, Data Management, Terraform, Confluent, Golang
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/703ca948-c033-427a-9054-286253e0d30e/platform-reliability-engineer

## About the Role

* A strong track record of designing and operating large-scale, mission-critical production systems.
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 * Deep expertise in AWS architecture and operations, including networking, identity and access management, compute, storage, managed services, and multi-account environments.
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 * Advanced experience with infrastructure as code, particularly Terraform, including the design of reusable modules and controlled delivery workflows.
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 * Strong knowledge of distributed systems and reliability concepts, including failure modes, availability, consistency, capacity, recovery, and graceful degradation.
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 * Hands-on experience operating containerised workloads using Kubernetes/EKS, ECS, or comparable orchestration platforms.
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 * Demonstrated experience establishing effective observability, alerting, SLOs, incident-management practices, and post-incident improvement programmes.
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 * Strong software-engineering ability in Python, Go, TypeScript, or a comparable language, with an emphasis on maintainable operational tooling and automation.
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 * Experience leading ambiguous, cross-organisational technical initiatives without relying on formal authority.
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 * Sound judgement under pressure and the ability to make clear, risk-based decisions during production incidents.
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 * Excellent written and verbal communication, including the ability to explain complex technical decisions to engineering and non-engineering stakeholders.
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 * A pragmatic approach to engineering, with the ability to determine where standardisation is valuable, where flexibility is appropriate, and where complexity is unjustified.
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## Description

* Experience supporting trading, financial-services, or other highly regulated and time-sensitive production environments.
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 * Experience with Datadog, Terraform Enterprise, Backstage, Argo CD, GitHub Actions, or AWS CodeBuild and CodePipeline.
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 * Knowledge of high-throughput messaging and data platforms such as Kafka or Confluent.
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 * Operational experience with PostgreSQL/Aurora, CockroachDB, Redis/Valkey, QuestDB, Snowflake, or comparable data systems.
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 * Strong networking knowledge, including Transit Gateway, PrivateLink, DNS, hybrid connectivity, firewalls, and private-access platforms such as Zscaler.
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 * Experience designing multi-region systems and leading disaster-recovery or resilience-testing programmes.
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 * Familiarity with cloud cost management and designing systems that are both reliable and economically sustainable.
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 * Experience contributing to internal developer platforms, service catalogues, golden paths, or organisation-wide engineering standards.
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