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Ignite IT targets federal agencies with integrated AI, cybersecurity, and cloud transformation services. The tech stack reveals a deliberate shift away from legacy analytics: SAS is being replaced by Python, NumPy, Pandas, and scikit-learn, while the project roster is dominated by cloud migration and AWS-native architecture work (Step Functions, Lambda, RDS, Aurora). Hiring velocity is accelerating with a senior-weighted engineering team, signaling active delivery against modernization backlogs.
Tech Stack 138 technologies
Core StackAWS AWS RDS AWS Lambda Docker Kubernetes MariaDB PostgreSQL Elasticsearch Python NumPy Pandas scikit-learn SAS Jira Confluence GitLab Ansible AWS Step Functions Eventbrite Tomcat Oracle RAC Aurora OpenSearch SciPy statsmodels tidyverse data.table Red Hat Enterprise Linux Bash SSSD+107 more
ReplacingSAS
What Ignite IT Is Building
◆Challenges
- Migrating applications to the cloud
- Modernizing legacy database systems
- Modernizing infrastructure
- Modernizing legacy middleware environments
- Legacy analytics migration
- Performance optimization for large datasets
- Automation opportunities identification
- Migrating legacy sas code to python/r
- Modernizing enterprise systems
- Modernizing cloud computing environments
▲Active Projects
- Enterprise-scale sas to python/r migration
- Design and architect scalable, secure, and cost-effective cloud solutions on aws
- Configure and implement ci/cd pipelines in aws
- Architect cloud-native etl processes using aws step functions, lambda, and eventbrite
- Validation and reconciliation framework design
- Aws cloud native implementation
- Legacy system migration
- System-of-systems modernization initiative
- Data ingestion pipeline design
- Migration of on-premises infrastructure to secure cloud
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
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