Technical Development Lead

Role Description

The Leidos Digital Modernization Sector has a career opportunity for a Technical Development Lead - Real-Time Visibility supporting the Global Solutions Management - Operations II (GSM-O II) contract with the Defense Information Systems Agency (DISA). The GSM-O II program supports the Operations, Sustainment, Maintenance, Repair, and Defense of the Defense Information System Network (DISN) within the DoD Information Network (DODIN), as well as mission modernization efforts that improve operational effectiveness, resiliency, and service delivery for DISA and its mission partners.

The RTV Technical Lead will serve as a senior technical leader responsible for developing and leading execution of the project data visualization strategy across the Global Management System (GMS) and Real-Time Visibility environment. This role owns technical direction for:

• Single-pane-of-glass dashboards
• User experiences
• Visual analytics patterns
• Data products
• Reporting
• Alerting
• Integration approaches

The successful candidate will lead execution across a complex AWS IL5/IL6 cloud-based system-of-systems that uses various technologies including:

• Confluent Kafka
• Elasticsearch
• Logstash
• Kibana
• Watson AIOps
• Databricks
• ServiceNow
• Palantir integration
• Network automation capabilities
• DevSecOps/CI/CD tooling

This is a senior technical leadership role for a candidate who can move fluidly between:

• Customer engagement
• Product strategy
• Architecture
• Data engineering
• Software development
• UI/UX
• Visualization design
• Agile delivery
• Security
• Operational transition

The RTV Technical Lead will work closely with:

• Product owners
• Data Driven Operations Manager
• Architects
• Data engineers
• Visualization engineers
• Software developers
• UI/UX engineers
• Network engineers
• Cyber teams
• Operations users
• Vendors
• Government stakeholders

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Data Engineering, Software Engineering, Systems Engineering, Human-Computer Interaction, Information Systems, or a related technical discipline with 8+ years of relevant experience; Master’s degree with 6+ years; or equivalent additional experience in lieu of degree.
• Demonstrated experience leading strategy, architecture, design, development, and delivery of data visualization, observability, analytics, or data-driven operations capabilities in complex enterprise or mission environments.
• Hands-on experience designing, building, deploying, and sustaining operational dashboards, reports, visualizations, and data products using Elastic/Kibana or comparable enterprise visualization platforms.
• Experience with the Elastic Stack, including Elasticsearch, Logstash, Kibana, indexing strategies, dashboarding, alerting, role-based access, retention, observability, and performance tuning.
• Experience with real-time or near-real-time operational data, such as network events, performance metrics, configuration data, telemetry, syslog, SNMP polling/traps, incident/ticketing data, cybersecurity data, or customer impact data.
• Experience translating mission, business, and user needs into technical requirements, user stories, acceptance criteria, architecture/design artifacts, development tasks, and implementation plans.
• Experience with user-centered design practices, including stakeholder interviews, workflow analysis, personas, user journeys, wireframes, prototypes, usability reviews, visual design principles, accessibility, and iterative feedback loops.
• Experience leading technical teams or cross-functional delivery efforts, including mentoring engineers, influencing without direct authority, facilitating design decisions, resolving technical issues, managing delivery risk, and aligning execution to business outcomes.
• Experience with data integration and pipeline concepts, including Kafka or comparable messaging platforms, ETL/ELT, APIs, data modeling, schema management, metadata, data quality, data lineage, and secure access patterns.
• Software development or scripting experience using JavaScript, React, HTML, CSS, JSON/REST APIs, Python, Java, SQL, or comparable languages used for visualization, automation, platform integration, and data engineering.
• Experience with DevSecOps and Agile delivery practices, including Git/Bitbucket, Jira, Confluence, Jenkins/CloudBees or equivalent CI/CD tooling, Artifactory, Ansible, automated testing, controlled release processes, and infrastructure/configuration as code concepts.
• Experience with cloud and containerized environments such as AWS, AWS GovCloud, OpenShift, Kubernetes, Docker, or comparable technologies.
• Working knowledge of cybersecurity and compliance principles, including access controls, encryption, least privilege, auditability, RMF, DISA STIGs, DoD IA policies, or comparable secure mission environment requirements.
• Strong written and verbal communication skills, including the ability to brief technical solutions, tradeoffs, risks, status, and recommendations to customers, senior leadership, architects, engineers, operators, and non-technical stakeholders.
• Ability to obtain and maintain a DoD Secret security clearance; active Secret clearance preferred for start.
• Ability to obtain Security+ or equivalent DoD 8570 IAT II certification within the program-required timeframe after start.

Requirements

• Experience supporting DISA, DISN, DODIN, GSM-O, GMS, DoD network operations, cyber operations, or mission command-and-control environments.
• Deep understanding of network operations data and workflows, including service health, event correlation, topology, customer impact, incident management, root cause analysis, performance management, configuration management, and operational reporting.
• Experience with tools or data sources such as DXNetOps, Netscout, Netcool, Watson AIOps, Syslog, SNMP polling/traps, Juniper Northstar, CTPView, Cisco EPNM, Ciena MCP, Silvx, Cisco Prime Optical, ServiceNow ITSM/TSOM/TNI/OMT, Palantir, Cisco NSO, and Ansible.
• Elastic/Kibana certification or demonstrated expert-level experience with Elastic/Kibana dashboard development, Kibana Lens, Canvas, Maps, alerting, Spaces, security, saved objects, APIs, custom plugins, or advanced visualization patterns.
• Experience with Confluent Kafka or Apache Kafka, including topics, partitions, connectors, schema management, stream processing, Kafka Streams, ksqlDB/KSQL, and operational troubleshooting.
• Experience with Databricks, Spark, Delta Lake, Unity Catalog or comparable data catalog/governance capabilities, Apache NiFi, Apache Flink, or similar data engineering technologies.
• Experience designing visual analytics and operational data products that support predictive analytics, anomaly detection, AIOps, event correlation, auto-ticketing, automated troubleshooting, automated remediation, or self-healing network capabilities.
• Familiarity with AI/ML, NLP, LLM-enabled operational support, Elastic AI Assistant or similar capabilities, feature engineering, model-ready data preparation, and governance of data used for machine learning workloads.
• Experience optimizing Elastic, Kafka, cloud, or data visualization platforms for throughput, latency, query performance, storage lifecycle, high availability, resiliency, cost, and operational supportability.
• Experience designing solutions that move, replicate, or consolidate data across security boundaries, including IL5/IL6 patterns, cross-domain transfer concepts, diode-based transfer patterns, and secure data consolidation.
• Experience developing data visualization standards, reference architectures, reusable dashboard patterns, naming conventions, dashboard governance processes, and reusable UX components that accelerate delivery and improve enterprise consistency.
• Experience with network fundamentals, routing and switching concepts, BGP, MPLS, IP, optical networking, transport protocols, network device configurations, and network management systems.
• Experience with Engineering Review Boards, architecture governance, analysis of alternatives, trade studies, cost-benefit analysis, proposal/ROM support, senior customer demonstrations, and executive-level briefings.
• Relevant certifications such as AWS Solutions Architect, AWS Data Engineer, AWS DevOps Engineer, Elastic Certified Engineer, Confluent/Kafka, Databricks, Certified Kubernetes Administrator, Security+, CISSP, ITIL, or comparable technical certifications.

Benefits

• Competitive salary
• Comprehensive health benefits
• Retirement plans
• Professional development opportunities
• Flexible work arrangements

Company Description

At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Original Posting: August 18, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range: $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.