Sr. Software Engineer - Analytics Services Lead

Global C2 Integration Technologies; Reston (VA); On-site; USD 140,000 - 210,000; Full time

Job summary

Global C2 Integration Technologies in Reston, VA, seeks a Senior Software Engineer - Analytics Services Lead to own the design, delivery, performance, and operational evolution of analytics services for a large-scale mission platform.

You will lead a portfolio of Java-based microservices built around Elasticsearch, Logstash, Kibana, Grafana, and Vue.js 3 interfaces, ensuring low latency and reliable operation.

Qualifications

• Four additional years of experience may substitute for a degree.
• Ten or more years of software engineering, data platform engineering, or analytics platform experience.
• Experience building and operating analytics or search services in production.
• Proven ownership of a technical analytics domain from architecture through operations.
• Experience leading engineering teams or multi-team delivery for analytics/search platforms.

Responsibilities

• Own the analytics services portfolio including user-facing analytics and dashboards.
• Lead design and delivery of Java-based microservices supporting analytics and reporting workflows.
• Define indexing, sharding, retention, query strategy for distributed analytics workloads.
• Ensure health, scalability, and observability of analytics microservices.
• Guide dashboards and role-based analytics views and reporting capabilities.
• Use telemetry data to improve reliability and perform incident analysis.

Skills

Java microservices

Analytics services design

Team leadership

Performance tuning

Troubleshooting

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related technical field

Master's degree in Data Engineering, Computer Science, Analytics, or related field

Tools

Elasticsearch

Logstash

Kibana

Grafana

Vue.js 3 interfaces

Job description

Full Time / Contract Support / Domestic and/or international project travel may be required. Active TS/SCI Clearance Required

Position Summary

GC2IT is seeking a Senior Software Engineer - Analytics Services Lead to own the design, delivery, performance, and operational evolution of analytics services for a large-scale, globally distributed mission platform. The role leads a portfolio of Java-based microservices and analytics/search infrastructure built around Elasticsearch, Logstash, Kibana, Grafana, and Vue.js 3 interfaces.

Key Responsibilities

• Own the analytics services portfolio, including user-facing analytics, search and aggregate query services, event roll-up and nested aggregation services, telemetry/APM analytics, and analytics-facing administrative and visualization interfaces.
• Lead design and delivery of Java-based microservices supporting analytics, search, aggregation, and reporting workflows.
• Own analytics architecture for cached/indexed queries, composite aggregations across multiple fields, and nested aggregations supporting rollups and hierarchy-based summaries.
• Ensure analytics services support both mission-facing reporting and operational telemetry analysis across services, infrastructure, and networking.
• Tune and optimize analytic queries and service interactions to meet strict performance and latency requirements, including real-time transaction workflows.
• Lead the design and operation of Elasticsearch, Logstash, Kibana, Grafana, and Vue.js 3 based analytics services and interfaces.
• Define indexing, sharding, retention, query strategy, data models, and service contracts for distributed analytics workloads.
• Own service-level health, scalability, and observability of analytics microservices.
• Guide dashboards, visualizations, role-specific analytics views, and reporting capabilities.
• Use telemetry and APM data to improve reliability, identify bottlenecks, support root-cause analysis, and lead major incident analysis where analytics or observability affects mission operations.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field; four additional years of experience may substitute for a degree.
• Ten or more years of software engineering, data platform engineering, search engineering, or analytics platform experience, including at least four years leading a major technical service area or team.
• Strong experience building and operating analytics or search services in production.
• Strong hands-on experience with Elasticsearch, Logstash, Kibana and/or Grafana, and Java-based backend services/microservices.
• Demonstrated ownership of a technical analytics domain from architecture through operations.
• Experience leading engineering teams or multi-team delivery for analytics/search platforms.
• Strong troubleshooting skills across ingestion, indexing, query, UI, and platform layers.
• Strong written and verbal communication skills, including the ability to explain performance, scale, and technical tradeoffs clearly.
• Proven experience with indexed query optimization, field/composite/nested aggregations, rollups, summary generation, and caching strategies.
• Experience tuning analytics and search services for strict latency and SLA-driven workflows.
• Strong understanding of data ingestion, indexing, retention, search relevance, and performance tradeoffs.
• Experience designing role-based analytics access patterns and user-facing analytics/reporting services.
• Active Top Secret/SCI security clearance.

Preferred Qualifications

• Master's degree in Data Engineering, Computer Science, Analytics, or a related field.
• Experience with Vue.js 3 or similar frameworks for analytics dashboards and role-based user interfaces.
• Experience building analytics and observability solutions in distributed microservices environments.
• Experience with large-scale telemetry pipelines for logs, events, and metrics.
• Familiarity with APM concepts, distributed tracing, and service-health correlation.
• Experience with Grafana and ELK in the same observability/analytics ecosystem.
• Experience with real-time or near-real-time event analysis in mission or operational systems.
• Familiarity with RabbitMQ, event pipelines, or stream processing supporting analytics workloads.
• Experience with multilingual analytics interfaces, region-specific reporting, capacity planning, cluster cost/performance tuning, RBAC, multi-tenant access, and reusable reporting/dashboard frameworks.
• Experience supporting globally distributed platforms with variable network conditions and remote operational support models.

Travel Requirements

• Domestic and/or international project travel may be required.

Security Clearance Requirement

Active Top Secret/SCI security clearance required.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job the employee is regularly required to climb, bend, stretch, walk, sit use hands to handle or feel; frequently use fingers to type; talk and hear; occasionally stand, kneel, stoop, crouch, bend, twist or reach out; may require lifting or moving 10 lbs; frequently required to reach with hands and arms. Vision requirements for this position include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

WORK ENVIRONMENT

Work environment will have moderate noise when working in an office environment.

ADDITIONAL INFORMATION

Equal Opportunity Employer - The Company does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

All applicants must be able to perform the essential functions of the position, including corresponding core job requirements, with or without reasonable accommodation. Reasonable accommodations may be made to

enable individuals with disabilities (and others in accordance with applicable law) to perform the essential functions of the job, consistent with applicable laws and Company policy.

Job Type: Full-time