Senior Site Reliability Engineer - Data Pipeline
BloomreachSlovakiaPosted 31 March 2026
Job Description
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 AI — 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 . Salary range starting from 4 200 EUR gross per month, going up depending on your experience and skills. 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
Your qualifications
Impact:
You can articulate how your contributions have transformed the way engineers work and think by fostering a strong DevOps/SRE culture.
You can demonstrate how impactful your work as an SRE or DevOps Engineer can be in connection to business success
Ownership:
You understand the importance of you build - you run it principle and you love the feeling you own it
You are mindful of the costs associated with running our service, which translates into effective vertical and horizontal pod autoscaling and detailed telemetry insights.
Systematic approach:
You believe the infrastructure as a code is the only thing that can bring stability into chaos
Terraform is your daily bread, and HELM deployments are your second-best friend
Data-driven:
You use telemetry data and metrics to provide feedback to engineers on how the application and services behave
You can navigate yourself in complex service architec ... (truncated, view full listing at source)
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