Senior Software Engineer Analytics Services Lead

FusionInnovations recent growth has earned us a top spot in the Inc 5000 FastestGrowing Private Companies in America and in Washington Business Journals BestPlaces to Work multiple years in a row. Our team members are passionate abouttheir work and are empowered to contribute their unique skills and perspectivesto our projects. Here at Fusion we put people first. When you join us youdont just join a company you join a family. If you are ready to be part of afun and engaging team where your innovative ideas are heard supported andmake ever lasting mission impacts for our Nations most sensitive programs youhave come to the right place.

The Senior Software Engineer Analytics Services Lead will own the architecture delivery performance and operational evolution of the analytics services domain for a large-scale globally distributed mission platform. This position leads a portfolio of Java-based microservices and supporting search visualization and observability capabilities built with Elasticsearch Logstash Kibana Grafana and 3. The ideal candidate combines deep search and aggregation expertise with strong performance engineering user-facing analytics design and end-to-end operational ownership.

• Own the analytics services portfolio including user-facing analytics search and aggregate query services event rollups nested aggregations telemetry analytics APM-related services and analytics-focused administrative and visualization interfaces.
• Lead the design development and delivery of Java-based microservices supporting analytics search aggregation and reporting workflows.
• Define architecture for cached and indexed queries composite aggregations across multiple fields and nested aggregations used for event rollups and hierarchy-based summaries.
• Ensure analytics services support both mission-facing reporting and operational telemetry analysis across applications infrastructure and networks.
• Tune queries and service interactions to meet strict latency and performance requirements including analytics embedded in real-time transaction workflows.
• Lead the design and operation of solutions using Elasticsearch Logstash Kibana Grafana and 3.
• Define indexing sharding retention caching and query strategies for operational and user-facing analytics workloads.
• Establish data models and service contracts that promote consistent analytics across distributed deployments.
• Partner with data platform and software engineering teams to improve ingestion pipelines and the structure and quality of searchable data.
• Own the health scalability observability and operational readiness of analytics microservices.
• Guide the implementation of dashboards visualizations role-specific analytics views and reusable reporting capabilities.
• Use telemetry and APM data with operations and engineering teams to improve reliability identify bottlenecks and support root-cause analysis.
• Lead incident analysis when analytics or observability performance affects mission or platform operations.

• Active Top Secret/SCI with Polygraph.
• Bachelors degree in Computer Science Software Engineering Data Engineering Information Systems or a related technical discipline; four additional years of relevant experience may substitute for a degree.
• 10 years of software engineering data platform engineering search engineering or analytics platform experience including 4 years leading a major technical service area or team.
• Demonstrated experience building and operating production analytics or search services and owning a technical domain from architecture through operations.
• Hands-on experience with Elasticsearch Logstash Kibana and/or Grafana and Java-based backend services or microservices.
• Experience leading engineering teams or coordinating multi-team delivery for analytics or search platforms.
• Strong troubleshooting ability across ingestion indexing query user interface and platform layers.
• Experience with indexed query optimization field and composite aggregations nested or document-based aggregations rollups summary generation and caching strategies.
• Experience tuning analytics and search services for strict latency and service-level requirements.
• Understanding of data ingestion indexing retention search relevance and performance tradeoffs.
• Experience designing role-based analytics access patterns and services supporting both user-facing and operational telemetry use cases.
• Strong written and verbal communication skills including the ability to explain performance scale and architectural tradeoffs.

• Masters degree in Data Engineering Computer Science Analytics or a related field.
• Experience with 3 or a similar framework for analytics dashboards and role-based interfaces.
• Experience with distributed microservices large-scale telemetry pipelines APM distributed tracing and service-health correlation.
• Experience operating Grafana and the ELK stack within the same analytics and observability ecosystem.
• Experience with real-time or near-real-time event analysis RabbitMQ event pipelines or stream-processing technologies.
• Experience with capacity planning and cost/performance tuning for analytics clusters and mixed Elasticsearch workloads.
• Experience supporting globally distributed platforms with variable network conditions and remote support models.
• Knowledge of RBAC multi-tenant analytics access multilingual interfaces or region-specific reporting.
• Experience building reusable dashboard and reporting frameworks for multiple user communities.