ELK Elastic Search Engineer - Radiant Digital

About Us:

Radiant Digital delivers technology consulting and business solutions for commercial and government clients.

Our flexible delivery model allows us to provide end-to-end solution delivery, single project execution, and, or strategic resources.

CMMI Maturity Level III and ISO 9001 – 2015 certified.

Description:

• Expertise in Elasticsearch, Logstash, Kibana, and employing machine learning-based anomaly detection. Proficiently manage the entire ELK stack, encompassing design, deployment, configuration, and ongoing maintenance of new ELK clusters.
• On-call rotations to provide 24/7 support and rapid incident response for critical ELK Platform.
• Streamline Elasticsearch cluster performance through proactive monitoring using PagerDuty, Prometheus and Grafana or equivalent to ensure minimal downtime and efficient issue resolution.
• Working knowledge of Security and reliability of ELK and Splunk servers using Ansible and/or Salt automation, as well as manual maintenance and OS patching for Linux systems Hands on experience in CI/CD pipeline tools such as GitHub/GitLab/Jenkins etc. for efficient code updates and seamless distribution across
• Our Global Technology Solutions group is looking for a Senior Systems & Software Engineer to lead and collaborate with portfolio teams across all LOB’s to support a framework that combines engineering and application development to drive operational stability. The ideal candidate will collaborate with the core teams combining software practices and engineering to strengthen the enterprise logging practices along with operational support.
• Advanced knowledge of system architecture, network, Centralized Logging (ELK), and operational stability will help transform the way the teams operate today.

Required Skills:

Five or more years of experience as a Full stack Linux Systems/Elastic & Application Support Engineer (Elastic Certified Engineer preferred)

• Strong knowledge of Systems Administration in Linux(RHEL/CentOS) and experience in troubleshooting applications running on these systems

• Strong Hands on experience Elastic Stack of tools(Elastic Search, Logstash & Kibana) that monitor and manage critical applications and infrastructure

• Securing, maintenance, optimization, documentation, and some design and build, Data Analytics & Visualization;

• Provide work breakdown and estimates for new requirements & Applying best practices for managing cluster, scaling and capacity planning.

• Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search and query performance tuning, RBAC security governance and administration;

• Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Configuration of index templates and data life cycle management ILM for data retention;

• Designing and implementing solutions for centralized logs, infrastructure and health metrics, distributed tracing for different applications.

• Create Dashboard on KPIs and Fine tune bulk load process.

• Hands on Scripting & Programming in Python, Ansible, bash, data parsing (regex) etc.

• Good knowledge with Tomcat, MySQL,nginx, haproxy

• Experience with Security Hardening & Vulnerability/Compliance, OS patching, SSL/SSO/LDAP

• Understanding of HA design, cross-site replication, local and global load balancers, etc

• Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN etc.

• CI/CD - Deployment pipeline experience (Ansible, GIT) • Strong knowledge of performance monitoring, metrics, capacity planning, and management

• Familiarity with Confluence and JIRA

• Ability to apply a systematic & creative approach to solve problems, out of box thinking with a sense of ownership and focus

• Strong skills in creating documentation - engineering runbooks, support procedures, user onboarding and support documentation

• Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships etc.

• Influencing other teams and engineering groups in adopting logging best practices.

• Effective communication skills with the ability to articulate technical details to different audience