Job Summary
Synechron is seeking an experienced ELK Developer to design implement and optimize logging and observability solutions across enterprise systems. The ideal candidate will have deep expertise in Elasticsearch Logstash and Kibana to support log ingestion analysis and visualization. This role is essential in enabling effective monitoring anomaly detection and operational insights contributing directly to system reliability and business performance.
Software Requirements
Required Skills:
Proficiency with Elasticsearch (version 7.x or higher) Logstash and Kibana
Strong experience with log ingestion parsing enrichment and indexing
Familiarity with Beats (Filebeat Metricbeat etc.) for log and metric collection
Experience with Kibana dashboard creation and data visualization techniques
Working knowledge of YAML JSON and structured data formats
Basic understanding of monitoring alerting and anomaly detection mechanisms
Ability to troubleshoot and optimize ELK stack performance
Understanding of distributed systems architecture and microservices environments
Preferred Skills:
Experience with Elastic APM or OpenTelemetry for application performance monitoring
Knowledge of Elastic ML features for anomaly detection and forecasting
Scripting skills in Bash Python or similar for automation tasks
Familiarity with cloud deployment platforms (AWS Azure GCP)
Understanding of security access control and encryption within ELK stack
Experience with CI/CD pipelines for deploying ELK configurations and updates
Overall Responsibilities
Design and implement log ingestion pipelines including parsing enrichment and indexing of data
Develop and maintain Kibana dashboards visualizations and reporting tools for real-time monitoring
Optimize the performance and scalability of ELK stack deployments
Implement alerting anomaly detection and ML integrations to enhance observability
Troubleshoot and resolve issues related to log ingestion search performance or visualization inaccuracies
Collaborate with frontend and backend teams to integrate logs and metrics into overall monitoring architectures
Document ELK configurations pipelines and best practices for ongoing support and knowledge sharing
Support infrastructure automation and deployment of ELK components in cloud or on-prem environments
Keep up-to-date with new features and industry best practices related to ELK and observability
Technical Skills (By Category)
Programming Languages & Data Formats:
Essential: JSON YAML scripting in Bash or Python (basic automation)
Preferred: Python for automation and data processing scripts
Log Management & Monitoring Tools:
Essential: Elasticsearch Logstash Kibana
Preferred: Elastic APM OpenTelemetry
Data Management & Analytics:
Experience working with time-series data logs and metrics data
Skills to interpret patterns alerts and anomalies within large datasets
Cloud & Infrastructure Technologies:
Knowledge of cloud platforms (AWS Azure GCP) for deploying ELK solutions
Familiarity with Kubernetes or container orchestration for scalable deployments
Security & Compliance:
Basic understanding of access controls encryption and data security standards within ELK
DevOps & Automation:
Exposure to CI/CD pipelines for deploying configuration and code updates
Familiarity with version control tools (Git)
Experience Requirements
Minimum 3 years experience developing and managing ELK-based logging and monitoring solutions
Proven ability to troubleshoot optimize and scale ELK deployments in complex environments
Practical experience configuring and implementing alerting monitoring and anomaly detection systems
Experience with log ingestion pipelines involving Beats Logstash or equivalents
Familiarity with distributed systems microservice architectures and cloud environments is preferred
Prior experience in implementing security controls within ELK is advantageous
Day-to-Day Activities
Monitor system logs and dashboards to ensure system health and performance
Develop and refine log ingestion flows including filtering parsing and enrichment
Create and update Kibana dashboards for business and operational insights
Investigate and resolve performance bottlenecks or log data anomalies
Collaborate with engineering teams to integrate logs/metrics with business workflows
Automate routine tasks with scripting and support continuous deployment of ELK components
Document configurations processes and best practices for future reference
Conduct data quality checks incident investigations and trend analysis
Identify opportunities for advanced analytics including leveraging ML capabilities
Qualifications
Degree in Computer Science Information Technology or a related field; equivalent industry experience accepted
Relevant certifications in Elasticsearch ELK stack or cloud platforms (optional but beneficial)
Ongoing learning in observability security and data analytics within DevOps environments
Professional Competencies
Strong analytical and problem-solving ability in complex system environments
Clear and effective communication skills for collaborating across technical teams
Ability to interpret large datasets into actionable insights
Self-driven proactive and capable of managing multiple priorities with minimal supervision
Adaptability to evolving technologies and industry best practices
A strong focus on data accuracy security and operational excellence
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
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