Concevoir et développer des applications de traitement de données issues de capteurs afin d’optimiser le télérelevé et l’exploitation de capteurs IoT, de l’analyse des besoins au déploiement en production.
Compensation
Une politique de rémunération complète: intéressement et participation, Tickets restaurant, plan d’épargne entreprise avantageux, Mutuelle et prévoyance santé attractive pour vous et votre famille
Responsibilities
Concevoir et développer des applications de traitement de données issues de capteurs
Superviser, corriger et améliorer les applications en production
Analyse des besoins
Définition de la charge des développements
Proposition d’architecture fiable, évolutive et robuste
Lead and mentor a DevOps team, design and operate infrastructure on GCP and Kubernetes
Locations (5)
Moldova
Poland
Romania
Spain
Ukraine
Compensation
A competitive salary and good compensation package
Responsibilities
Work with your team to design, build, and operate the infrastructure the rest of engineering depends on: clusters, pipelines, databases, edge, and observability
The MarTech analytics engineering team builds and operates the data foundation behind performance marketing at Delivery Hero, creating production pipelines for ingestion, activation, feeds, and acquisition optimization.
Responsibilities
Own data domains end-to-end
Own and evolve pipeline domains (ingestion, server-to-server activation, feeds, measurement curation) on Airflow, BigQuery and dbt, from design and architecture through rollout and ongoing maintenance
Take a domain from requirements to production, monitoring and daily operation
Balance engineering rigour against business constraints and timelines
Design and maintain the curated models that budget allocation, bidding, and data science models consume
A technical team lead role combining technical depth with people leadership to build and evolve telephony and digital platforms, focusing on agentic AI services and Generative AI within a cloud-native architecture.
Compensation
Salary Range: £92,701 - £109,060; SALARY: £90,440 - £110,000 per annum
Responsibilities
Define strategy and technical direction for agentic AI services (patterns, standards, runtime quality).
Lead, develop and coach multiple teams, fostering a high-performance and inclusive engineering culture.
Design and deliver AI Agents using services such as Vertex AI (including Agent Builder), Cloud Run/GKE, Pub/Sub, CloudSQL, BigQuery, Cloud Storage, Secret Manager and IAM.
Achieve efficiently with quality: CI/CD, automated testing (unit, contract, end-to-end), performance testing, SRE practices, and actionable observability.
Engineer for safety, security and cost-effectiveness by implementing guardrails, supervising model/agent evaluations, secrets management, IAM scoping and FinOps.
A Senior Cloud DBA & Data Platform Engineer with deep expertise in SQL Server, Postgres, and Oracle, and cloud-native skills in GCP and AWS, focusing on performance tuning, operations, and automation.
Compensation
$140,000–$180,000
Responsibilities
Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR, and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.
Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O profiling.
Optimize relational and time series workloads, including hypertables, chunk management, retention policies, and compression strategies in TimescaleDB.
Implement schema changes, index strategies, and query rewrites to improve workload efficiency.
Support database lifecycle management across on prem, GCVE, and cloud native platforms.
WPP is looking for a passionate and driven Senior Site Reliability Engineer to join their team, blending hands-on coding expertise with a strategic understanding of modern application architecture, cloud-native technologies, and agile team collaboration.
Responsibilities
Design and maintain safe deployment patterns (blue-green, canary, progressive delivery) using ArgoCD for GitOps sync and Kargo for environment promotion across dev, staging and production.
Instrument logs, metrics, traces and alerts to improve signal and reduce noise; define SLIs and SLOs with service owners and drive alerting from them.
Tune and troubleshoot GKE workloads: autoscaling (HPA/VPA, cluster autoscaler), node pool strategy, network policies, resource requests/limits and workload isolation.
Build and maintain reusable Terraform modules for core infrastructure (VPCs, GKE, CloudSQL, Pub/Sub, IAM, secrets, Cloudflare), with consistent naming, tagging and policy enforcement across environments and cloud providers.
Lead or support incident response, diagnose production issues from telemetry, run blameless postmortems and drive long-term fixes to completion.
Your customers are the other engineering teams. Work with the other Engineering Managers and product development leadership to scope and prioritize platform work
Set the quality bar for your team. Lead by example.
Manage, lead, and mentor your team while working side by side with them in code quality, clean infrastructure-as-code, soft skills, best practices, etc
Lead team trainings, set SMART goals, hold performance reviews, and provide individual feedback recurrently to each of your devs
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: team through a significant architectural migration
Développeur Web (H/F)NewVeolia Environmental Services · Lyon, France
DevOps Tech LeadN-iX · Moldova+4 more
Senior Cloud Data Ops EngineerGranite Telecommunications · Quincy, US
Senior SREWPP · India