Senior Elasticsearch & Cloud Engineer

Company Description

Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development.

Arηs Group was acquired by Accenture in July 2024.

Job Description

ARHS Group, part of Accenture, is looking for a Senior Elasticsearch & Cloud Engineer to join our internal team in Luxembourg.

In this role, you will lead the architecture, development, deployment, and continuous improvement of large-scale search and data platforms built around Elasticsearch and the Elastic Stack. Beyond project delivery, you will act as the technical lead for Search & Elastic technologies, helping define engineering standards, guiding project teams, and driving innovation across multiple customer engagements.

THE WORK:

• Lead the design, implementation, and optimization of Elasticsearch-based search platforms.
• Define reference architectures, engineering standards, and best practices for Search & Elastic technologies.
• Design and supervise ingestion pipelines to collect, transform, enrich, and index documents, metadata, logs, and events.
• Build search, observability, and detection capabilities using Kibana dashboards, alerts, and monitoring solutions.
• Deploy and operate cloud-native workloads on Azure and/or AWS using Kubernetes, Docker, Helm, Terraform, Ansible, and related technologies.
• Integrate Elasticsearch with enterprise applications through REST APIs, Java/Spring Boot microservices, messaging systems, and relational databases.
• Ensure scalability, reliability, security, performance, monitoring, backup, and disaster recovery across production platforms.
• Contribute to cloud migration, modernization, and platform upgrade initiatives while ensuring service continuity.
• Collaborate with DevSecOps teams to strengthen CI/CD pipelines, infrastructure as code, release management, and operational excellence.
• Mentor engineers, review technical designs and code, resolve complex technical challenges, and contribute to architecture documentation.

Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

HERE'S WHAT YOU'LL NEED:

• At least 6 years of experience in software, cloud, or platform engineering, including 4+ years working with production Elasticsearch platforms.
• Strong expertise with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats), including index design, Query DSL, aggregations, relevance tuning, performance optimization, security, and production operations.
• Experience designing and operating data ingestion and observability solutions.
• Strong backend development skills with Java, Spring Boot, REST APIs, SQL, and relational databases (PostgreSQL and/or Oracle).
• Experience with Microsoft Azure and/or AWS, Kubernetes, Docker, Helm, Terraform, Ansible, Nginx, and cloud-native infrastructure.
• Good understanding of DevOps practices, CI/CD pipelines, Infrastructure as Code, monitoring, and secure software delivery.
• Experience working with distributed systems and messaging technologies such as Kafka or RabbitMQ.
• Strong technical leadership, mentoring, and stakeholder communication skills.
• Experience working in Agile environments with a continuous improvement mindset.
• Fluency in English or French. Knowledge of both languages is a strong advantage.

BONUS POINTS IF YOU HAVE:

• Experience with semantic search, multilingual search, Apache Lucene, Solr, RDF/SPARQL, or OWL.
• Knowledge of AI-assisted retrieval, vector search, or hybrid search architectures.
• Experience designing highly available search platforms for public sector, regulated, or enterprise environments.
• Elastic, Azure, AWS, Kubernetes, ITIL, or architecture certifications.
• Knowledge of Python or Groovy.