Jussi Sallinen
Senior Site Reliability Engineer @Haven
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WORK HISTORY
Senior Site Reliability Engineer @Haven
London, GB
Part of Site Reliability Engineering team working cross different software development and operations teams helping provide observability and making sure availability of services is inline with the business requirements.• Initiating the evaluation and implementation of Datadog as business wide observability and monitoring platform to gain unified view of all the services and cloud environments under Single Pane of Glass approach.• Taking the Datadog platform from initial PoC all the way to on-boarding users through SSO-integration and making sure business services meet the requirements in terms of tagging etc.• Troubleshooting AWS based service deployments and deploying new infrastructure using Terraform and GitHub based CI/CD pipelines.• Service Owner for Datadog, liaising with different stakeholders to make best use of the platform and to make sure best practises are followed.Evaluating new features and providing guidance in deploying different integrations.• Implementing PagerDuty deployment using Terraform for mission critical alerting to 24x7x365 Operations On-Call team.
EDUCATION
Helsinki Business College Oy
Vocational Qualification, Business Information Technology
SKILLS
ABOUT JUSSI SALLINEN
I’m a Senior Platform / Site Reliability Engineer specialising in hybrid infrastructure across on-premise data centres and public cloud environments.My background is built on end-to-end systems ownership — from physical hardware, storage, and failure domains all the way up to Kubernetes platforms and cloud-native workloads. I’ve worked in high-security, air-gapped environments with strict 24/7/365 availability requirements, as well as modern AWS-based platforms operating at scale.I’ve been on-call for real production incidents throughout my career, which has shaped how I approach engineering: reliability, observability, and performance are not theoretical concerns — they are design requirements.I work closely with development teams to improve how systems are built and operated in production, with a strong focus on Infrastructure as Code, automation, and pragmatic DevOps practices that actually hold up under pressure.What differentiates me is a systems-level understanding that spans the full stack — I can debug and reason about issues from hardware and storage performance through to distributed systems and Kubernetes workloads.Currently, I’m focusing on AI/ML platform engineering in hybrid or on-prem GPU environments, where deep understanding of performance, failure domains, and infrastructure design is critical.
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