Senior Site Reliability Engineer – Fuse Team

Bloomreach

. Join the Fuse team responsible for item data management capabilities connecting Bloomreach Data Hub with Marketing, Search, Recommendations, and Loomi use cases .

Posted 11/3/2026full-timeRemote • Slovakia, CzechiaSenior💰 €41,600 - €52,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Kubernetes operations within cloud environments, particularly GCP, and excels in observability and incident diagnosis for distributed systems. Proficient in managing data consistency, API reliability, and operational sustainability through effective tooling and automation.

Highest-signal resume keywords

Kubernetes OperationsObservability and Incident DiagnosisGo or Python ProgrammingPostgreSQL or Cloud SQL ManagementCI/CD and Deployment Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Asynchronous Job-Processing SystemsDistributed Systems UnderstandingCapacity PlanningData Consistency ChecksAPI ReliabilityRate LimitingError BudgetingIndex Lifecycle ManagementLoad TestingProduction Readiness

Soft Skills

Effective CommunicationTeam CollaborationIncident Mitigation LeadershipCoaching and Mentoring

Tools & Technologies

GrafanaPrometheusOpenTelemetryPagerDutyGCPKafkaElasticsearchBigtableCloud SQLCI/CD Tools

Certifications & Qualifications

ISO ComplianceSOC 2 Compliance

Industry Keywords

Data ManagementOperational SustainabilityDistributed SystemsCatalog ManagementProduct Data Ingestion

Tech Stack

Tools & technologies

CloudDistributed SystemsElasticSearchGoogle Cloud PlatformGrafanaKafkaKubernetesPostgresPrometheusPythonSQLGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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