Lead Observability & Platform Engineer

In line with testing standards/procedures under guidance of management and within operating plan and allocated budget to lead plan and participate in qualification and acceptance testing activities of high complexity related to hardware and software components of SWIFT networks ensuring product quality. To act as a technical lead on qualification projects.

We are seeking a highly skilled and motivated Lead Engineer to drive the evolution of our Observability Platform focusing on ELK stack this pivotal role you will be responsible for designing implementing and continuously improving our observability and monitoring capabilities ensuring systems remain scalable and meet global standards. You will co-lead the vision and strategy for CI/CD processes across development release and deployment lifecycles taking ownership of building and optimizing automated CI/CD pipelines and release orchestration. Your expertise will enable the delivery of high-quality reliable software at speed while maintaining performance.

Key Responsibilities

Co-lead the ELK platform

• Architect deploy and scale Elasticsearch clusters (hot-warm-cold tiers ILM snapshot/restore).
• Design ingestion with Logstash/Beats/Elastic Agent; standardize parsing (grok processors) mappings and templates.
• Implement APM/tracing (e.g. OpenTelemetry) and align logs/metrics/traces for end-to-end visibility.
• Build dashboards (Kibana) and analyst-friendly views; automate alerting and anomaly detection.
• Govern access (RBAC) encryption masking; manage capacity & cost efficiency (index strategies routing).

Co-lead DevOps & Release Orchestration

• Own CI/CD pipelines end-to-end (build test package scan deploy rollback).
• Create pipelines for infra and content (Ansible for infra; version dashboards index templates alert rules).
• Implement automated release/deployment orchestration

Leadership & Collaboration

• Mentor engineers; lead technical design reviews and roadmap planning.
• Collaborate with Security/Compliance for security auditability and data governance.
• Advocate observability standards across engineering (structured logging trace context propagation).

What will make you successful

• Experience:12 years in software development including data/platform/DevOps engineering; 3 with ELK at scale (hot-warm-cold ILM index templates).
• Education:University degree in Computer Science software engineer or equivalent.

Technical Skills:

• Data & Streaming Deep knowledge of ingesting processing and managing large-scale data using big data platforms or messaging/streaming toolswith key technologies of Elastic Search Logstash Kibana Kafka;
  Equivalent technologies such as Solr/AWS OpenSearch/Algolia Apache NiFi/Fluentd/Beats RabbitMQ/AWS Kinesis/Apache Pulsar.
• Observability & Monitoring Deep knowledge of Elasticsearch internals (shards/replicas ILM index patterns snapshots query tuning);experience with APM traces metrics logs alerting strategies and on-call operations. Or equivalent knowledge of distributed data platform internals including data partitioning replication index or structure management.
• Programming & Databases- Proficiency in Java or Python with solid OOP fundamentals; experience with relational (Oracle MySQL) and NoSQL in Relational Database (e.g. Oracle MySQL) or NoSQL Databases.
• DevOps & CI/CD - Hands-on experience with CI/CD pipelines and automation tools (Jenkins/Cloudbees OpenShift Ansible Docker); familiarity with DevOps principles and supporting product delivery for monitoring and messaging platforms.
• Architecture & Integration: Experience with SOA technologies microservices REST/SOAP APIs; proficiency in both Linux and Windows working within an Agile-driven environment

Professional Skills:

• Experience in Agile-driven environments; ability to collaborate with distributed teams across time zones.
• Strong interpersonal skills and customer-centric mindset; able to build strong partnerships with internal stakeholders and delivery organizations.
• Familiarity with ITIL or structured operational processes (Incident Management Problem Management Continual Improvement) for maintaining and improving service delivery.

Following Experience will give candidates an added advantage:

• Experience in mentoring or leading engineering teams.
• Exposure to cloud observability or analytics platforms (Grafana Splunk or equivalent).
• Experience in API benchmarking with tools such as JMeter Postman.
• Knowledge of Swift products and messaging services (Alliance Access SwiftNet...).
• Knowledge of Atlassian products (Jira/Confluence/).
• Knowledge of ServiceNow.

What we offer

We put you in control of career

We give you a competitive package

We help you perform at your best

We help you make a difference

We give you the freedom to be yourself

We give you the freedom to be yourself. We are creating an environment of unique individuals like you with different perspectives on the financial industry and the world. A diverse and inclusive environment in which everyones voice counts and where you can reach your full potential.

We are committed to an inclusive and accessible recruitment process. If you require a reasonable accommodation related to accessibility during your application or interview please contact or indicate this in your application.

Please note that this mailbox is not monitored for general recruitment enquiries and should only be used for accessibility or accommodation-related requests (for example related to vision hearing or neurodiversity).

All requests are confidential and will not affect your candidacy.

Dont meet every single requirement At Swift we are dedicated to building a workplace where people can bring their full selves and ideas to the team so if you are excited about this role we encourage you to apply even if you do not meet every single qualification.