HireHire › Bloomreach jobs › Senior Site Reliability Engineer - Data Pipeline
Senior Site Reliability Engineer - Data Pipeline
at Bloomreach · Marketing & AdTech
Czechia
On-site
6 days ago
₹33.25–36.75 LPA (est.)
Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.
- We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
- We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
- We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.
And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
The Data Pipeline team is a backend-focused engineering team that is built on strong DevOps principles. We believe in autonomy, and we trust data. As the team grows we need to support it by onboarding another DevOps/SRE to pair with our existing one to form an effective duo helping the team to accelerate. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.
Intrigued? Read on 🙂…
Your responsibilities
- Your task is to build and maintain an ecosystem where engineers can safely and efficiently develop, debug and operate their services running in GCP, Kubernetes using DataFlow, DataProc and Python with Go
- You make sure the services have high level of observability, enabling us to provide quality service for our customers
- Further services can scale vertically and horizontally based on current load, operational and telemetric data (OTEL, Prometheus, Victoria Metrics)
- Team have enough insights about health of our services (Grafana, Alerting, PageDuty)
- You helps the team to fulfill security requirements given ISO and SOC2 audits, by enforce security principles like key distribution, key rotation, authorisation & authentication on service level, data encryption at transit, data isolation, resource limitations, quality of service, audit logs (mainly by Enovy proxies)
- You contribute to our tooling, so we have tools in place for debugging, troubleshoot and performance testing
- You automate manual/semi-manual steps deployment and instance setup
- You have hands on on L3 support and incident resolutions
- CI pipelines have linters, security scans, code smell detection enabling engineers to produce quality MRs<
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