Senior Site Reliability Engineer – Fuse Team

🔥 2 minutes ago

🌐 Slovakia, Czechia – Remote

🇸🇰 Slovakia – Remote 🇨🇿 Czechia – Remote

💵 €41.6k - €52k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Bloomreach

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

✈️ Travel

💰 $30M Debt Financing on 2022-10

Consulting • Marketing • Travel

Bloomreach is a leader in ecommerce personalization solutions, providing platforms that integrate real-time customer and product data via AI. The company offers marketing automation, product discovery, and a unified data platform specifically designed for commerce applications. This enables businesses to personalize marketing efforts across multiple channels such as email, SMS, and web, optimize ecommerce search and merchandising, and manage customer and product data for advanced analytics and omnichannel personalization. Bloomreach’s solutions cater to various industries including retail, travel, hospitality, and more, to enhance profitability and customer retention.

📋 Description

• Join the Fuse team responsible for item data management capabilities connecting Bloomreach Data Hub with Marketing, Search, Recommendations, and Loomi use cases • Own and improve reliability of Fuse services, workers, APIs, queues, storage systems, and destination synchronization pipelines • Establish SLIs, SLOs, and error budgets for customer-facing APIs, asynchronous jobs, catalog freshness, synchronization, and indexing • Build end-to-end observability across item collections from API requests and job submission through processing, persistence, indexing, and downstream delivery • Create and maintain dashboards, alerts, and service health views using Grafana, Prometheus-compatible metrics, OpenTelemetry, PagerDuty, and GCP tooling • Improve capacity planning and autoscaling using workload telemetry and customer traffic patterns • Improve availability, scalability, and operability across PostgreSQL/Cloud SQL, Bigtable, Elasticsearch, GCS, Kafka, and related systems • Support catalog placement, routing, index lifecycle, shard management, migrations, and recovery across Elasticsearch clusters • Define and automate data-consistency checks across source records, transformed items, job state, storage, indexes, and downstream destinations • Establish platform limits and quotas for catalog size, API traffic, job concurrency, queue depth, payload size, and expensive operations • Own Kubernetes configuration and operational infrastructure for Fuse components • Improve deployment automation, progressive rollout, rollback, release validation, CI/CD, security checks, and migration safety • Create tooling for local development, ephemeral environments, end-to-end testing, load testing, and production diagnosis • Maintain and validate executable runbooks • Participate in and improve the Fuse L3/on-call rotation • Lead incident investigation, mitigation, stakeholder communication, blameless reviews, and follow-up • Build operational tools for job tracing, queue inspection, rate-limit diagnosis, catalog health checks, and index recovery • Reduce recurring support demand through safeguards, automation, tests, dashboards, and documentation • Help meet ISO and SOC 2 security and compliance requirements • Enforce least-privilege access, workload identity, authentication, authorization, secret rotation, encryption, auditability, customer isolation, and PII-handling requirements • Participate in design of new capabilities with reliability, recovery, observability, limits, and operational ownership defined early • Review failure modes, retries, idempotency, backpressure, ordering, consistency, timeouts, cancellation, and rollout safety • Clarify ownership boundaries and service contracts across engineering teams • Coach engineers in production readiness, operational testing, debugging, and sustainable on-call practices • Contribute to onboarding, domain mapping, dashboard and incident reviews, on-call shadowing, reliability improvements, SLI/SLO definition, production-readiness reviews, incident reviews, and cross-team reliability initiatives

🎯 Requirements

• Strong hands-on experience operating services on Kubernetes in a major cloud environment, ideally GCP • Strong experience with observability and incident diagnosis for distributed systems • Experience with Go or Python; practical ability in both is a strong advantage • Experience operating at least one relational database, preferably PostgreSQL or Cloud SQL • Experience with large-scale data or indexing systems such as Bigtable, Elasticsearch/OpenSearch, Kafka, GCS, or comparable technologies • Experience designing or operating asynchronous job-processing systems, queues, workers, and retry mechanisms • Experience with CI/CD, Infrastructure as Code, deployment automation, and safe database migrations • Understanding of API reliability, rate limiting, backpressure, idempotency, and multi-tenant isolation • Comfort participating in an on-call rotation and responding to production incidents • Ability to work effectively in a distributed, remote-first team • Practical use of AI coding tools to accelerate investigation and implementation without outsourcing engineering judgment • Ability to demonstrate reliability work improving customer outcomes, engineering velocity, deployment confidence, or operational sustainability • Ability to lead ambiguous reliability initiatives and own incidents through mitigation, root-cause analysis, and prevention • Ability to use metrics, logs, traces, profiling, and workload data to form and validate hypotheses • Strong understanding of distributed systems, partial failure, capacity planning, throughput, latency, saturation, error rates, queue behavior, database performance, and storage growth • Preferred experience with catalog, product-data, ingestion, transformation, or indexing platforms • Preferred experience with large Elasticsearch/OpenSearch clusters, shard management, index lifecycle, routing, or reindexing • Preferred experience with Bigtable or another distributed wide-column database • Preferred experience with consistency validation across multiple storage or indexing systems • Preferred experience with customer-facing data APIs, high-volume bulk ingestion, or full and incremental synchronization • Preferred familiarity with product catalogs used by search, recommendations, marketing, or personalization systems • Preferred experience coordinating reliability improvements across several engineering teams • Preferred experience with ISO, SOC 2, data-isolation, retention, and audit requirements

🏖️ Benefits

• Freedom and trust with no clocking in/out, corporate rules, or long approval processes • Flexible working hours • Virtual-first work model with Bloomreach Hubs across three continents • Company events • 5 paid days off to volunteer • People Development Program and personal development workshops • Communication coach support • Leader Development Program with feedback, coaching, and check-ins • $1,500 annual professional education budget for books, courses, certifications, etc. • Employee Assistance Program with counselors • Calm subscription • One additional DisConnect day off each quarter • Sports, yoga, and meditation opportunities • Extended parental leave up to 26 calendar weeks for Primary Caregivers • Restricted Stock Units or Stock Options, depending on role, seniority, and location • Company performance bonus • Employee referral bonus of up to $3,000 • Work anniversary rewards

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