Global Financial Backbone: The world’s leading provider of secure financial messaging services, connecting over 12,000 banks and financial institutions across 200+ countries.
Critical Scale & Trust: Responsible for securely moving global value across borders with a strict emphasis on precision, pace, and absolute reliability.
Innovation & Quality: Combines a five-decade legacy with modern agility, adhering to exhaustive testing and qualification procedures before fast implementation.
Regulated & Budget-Conscious: Operates within highly structured frameworks, defined operating plans, and strict allocated budgets to ensure network integrity.
Inclusive Culture: Promotes a diverse global environment that values unique perspectives and encourages employees to bring their full selves to work.
Dual Focus Core: Pivotal role split between leading the evolution of a massive enterprise Observability Platform and co-leading automated CI/CD release orchestration.
ELK Architecture at Scale: Responsible for designing, deploying, and tuning distributed Elasticsearch clusters utilizing hot-warm-cold data tiering, ILM strategies, and custom data ingestion pipelines.
End-to-End Visibility: Driving the implementation of advanced tracing, metrics, and APM (such as OpenTelemetry) alongside structured logging.
Automation-First Pipelines: Owning full-lifecycle CI/CD processes to deploy infrastructure as code, application content, dashboard versions, and alert rules seamlessly.
Strict Minimum Requirements: Requires a university degree in Computer Science (or equivalent), 12+ years of total software/DevOps engineering experience, and 3+ years specifically scaling ELK.
Technical Skills
Observability & Monitoring: Deep knowledge of Elasticsearch internals (shards/replicas, index patterns, snapshots, and query tuning). Experience with APM, distributed tracing, metrics, logs, alerting strategies, and handling on-call operations.
DevOps & CI/CD: Hands-on experience building automated CI/CD pipelines and release orchestration using Jenkins/Cloudbees, OpenShift (Kubernetes), Ansible, and Docker.
Data & Streaming: Core expertise in ingesting, processing, and managing large-scale data using Elasticsearch, Logstash, Kibana, and Kafka (or equivalents like Solr, OpenSearch, Fluentd, Beats, Apache NiFi, RabbitMQ, or Pulsar).
Programming & Databases: Proficiency in Java or Python with strong Object-Oriented Programming (OOP) fundamentals. Experience working with relational databases (Oracle, MySQL) or NoSQL databases.
Architecture: Solid understanding of Service-Oriented Architecture (SOA), microservices, and REST/SOAP APIs across both Linux and Windows environments.
