20 set - Torino
Bitrock
pstrong Who we are /strongp Bitrock is a high-end consulting and system integration company, strong strongly committed to offering cutting-edge and innovative solutions /strong . Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs. /pp Le seguenti informazioni hanno lo scopo di fornire ai potenziali candidati una migliore comprensione dei requisiti per questo ruolo. brp We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from strong partnerships /strong with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. /p pstrong Who we are looking for /strong /pp We're looking for a strong Datadog Observability Specialist Freelance /strong to own the end-to-end rollout of a primary observability platform for a multi-region, multi-tenant environment on Azure Kubernetes. /pp You will lead the migration from a mature but fragmented self-hosted stack (Prometheus/Thanos, Grafana, ELK, AppDynamics) to Datadog. The project is past the proof-of-concept phase: the agent is deployed via Helmfile, a Terraform repository for Datadog resources is bootstrapped, and a tagging taxonomy is agreed upon. We need a genuine Datadog expert who knows the platform's intricacies and sharp edges to drive this rollout to completion and leave behind an autonomous, self-service platform for our client's engineering teams.
/p pstrong What You'll Do /strong /pullistrong Rollout and agent configuration /strong — Take the agent from a handful of QA environments to every cluster and tier, as code in Helm/Helmfile, including host-based instrumentation on the legacy Tomcat and VMs. /lilistrong Tagging and service ownership /strong — Enforce Unified Service Tagging and our internal taxonomy across agent, chart and application CD sources, and populate the Software Catalog with real team ownership. /lilistrong Everything as code /strong — Own the Terraform estate (DataDog/datadog provider) for monitors, dashboards, SLOs, log indexes and RBAC, wired into Azure DevOps pipelines with remote state. /lilistrong Monitoring, alerting, incident routing /strong — Design actionable P1–P4 monitor tiers and SLOs, route them through On-Call and Microsoft Teams, and run the dual-run and cutover from Prometheus. /lilistrong Integrations /strong — Connect Azure, Kubernetes, Kafka/Confluent with Data Streams Monitoring, the databases, the JVM/Node/.NET runtimes, RUM, and the OpenTelemetry and Splunk HEC pipelines. /lilistrong Cost governance /strong — Control spend through log index and retention strategy, exclusion filters, metric cardinality limits and per-team usage attribution. /lilistrong Security and access /strong — Design RBAC and Restricted Datasets, and keep log scrubbing, PII redaction and SQL obfuscation a day-one constraint on regulated data. /lilistrong Enablement /strong — Leave behind runbooks, naming conventions and onboarding docs, and run workshops so application teams and partner vendors can operate the platform themselves. /li /ul pstrong Requirements /strong /pullib Datadog certifications /b b or partner accreditation /b .
/lilib Deep, demonstrable Datadog expertise /b — at least one large multi-team, multi-environment rollout personally driven, not just product usage. You know the sharp edges (Terraform provider gaps, API limits around restriction policies, index ordering, cardinality billing traps) and can talk about them concretely. /lili Strong command across b APM, Logs, Infrastructure, RUM, Database Monitoring, Data Streams Monitoring, SLOs, Software Catalog, On-Call, Watchdog /b . /lilib Terraform /b at professional level, specifically the Datadog provider — module design, remote state, CI/CD integration. /lilib Kubernetes /b in production, ideally b AKS /b , with Helm and Helmfile. /lilib OpenTelemetry /b — collector configuration, processors, filters, exporters, and a clear view of where OTel ends and vendor instrumentation begins. /lili Instrumentation across a mixed estate: JVM (Spring Boot and legacy Tomcat/Java EE), Node.js, .NET. /lilib Azure /b fundamentals and b Azure DevOps /b pipelines. /lili Migration experience from Prometheus/Grafana, ELK/Elastic APM, AppDynamics, Dynatrace or New Relic — including the political part, not just the technical part. /lili Fluent English, and the ability to write a design document other engineers actually read. /li /ul pb Nice to have /b /pulli Kafka / Confluent Cloud operations. /lili Splunk, particularly HEC ingestion patterns. /lili Regulated-data environments (GDPR and equivalents). /lili Working alongside multiple system integrators on a shared platform. xrdbqlu /lili FinOps or observability cost optimization with real numbers attached. /li /ul pb Duration: /b 1 year /ppb Start: /b September /p pb Recruitment process /b /pp Our recruitment process has 3 stages: /pulli First discovery short interview with our HR team /lili Technical interview with our Team Leaders /lili Final interview with our Client /li /ul pb How to apply: /b /pp You can apply via LinkedIn or send your cv to /p /p /p
21 set - Firenze
randstadintempo
21 set - Catania
OVER
21 set - Venezia
Marina Scafoclub
21 set - Piemonte
Teoresi Group