Senior Cloud Data​/DevSecOps Engineer - Security Clearance

Position: Senior Cloud Data / DevSecOps Engineer - OPEN ASAP with Security Clearance
Senior Cloud Data / Dev Sec Ops  Engineer

Location:

Dayton, OH — Onsite/Hybrid Required
Clearance:
Active TS/SCI required
Citizenship: U.S. Citizenship required

Position Summary:

inQ is seeking a Senior Cloud Data / Dev Sec Ops  Engineer (OPEN Position to fill ASAP) to support the maintenance, sustainment, and minor enhancement of operational software within the Foundation and Integration Collection. This role supports mission-critical cloud-native services, including message bus, logging and telemetry, workflow automation, database management, session management, security marking, and serverless/function-as-a-service capabilities. The engineer will work with modern Dev Sec Ops , Data Ops, and cloud-native technologies to maintain, enhance, automate, and deploy secure software artifacts into the Unified Cloud Architecture through established CI/CD pipelines.

Deployments may support multiple security enclaves, including NIPRNet, SIPRNet, and JWICS, as well as DAF CLOUD works or other government-approved cloud architectures.
This position is ideal for a hands-on engineer with strong experience in Kafka, Kubernetes, AWS Gov Cloud, Terraform, Cloud Formation, PostgreSQL, Python, Bash, SQL, Docker, Git Lab/Git Hub CI/CD, Open Shift, MongoDB, ETL/ELT pipelines, and secure DoD cloud environments. The preferred candidate is a hands-on senior engineer who can bridge database engineering, API development, Dev Sec Ops  automation, and secure platform architecture.

This person should be comfortable taking an initial concept, building an MVP, working directly with platform teams, and turning the solution into reusable templates and implementation patterns for multiple database technologies.

Key Responsibilities:

• Maintain, sustain, and enhance operational software services supporting the Foundation and Integration Collection. Support cloud-native platform services, including:
o Kafka-based message bus services
o Logging, telemetry, and observability services
o Workflow services using Argo or similar tools
o Database management services
o Session management services
o Security marking services
o Serverless and Function-as-a-Service capabilities
• Develop, maintain, and troubleshoot CI/CD pipelines for secure deployment of software artifacts into government cloud environments.

• Deploy and manage containerized workloads using Docker, Kubernetes, Open Shift, and/or AWS EKS.

• Develop Infrastructure as Code using Terraform, Cloud Formation, and related automation tools.

• Build, operate, and maintain data pipelines using Kafka, Debezium, PostgreSQL, MySQL, S3, RDS, Lambda, SNS, and related AWS services.

• Design, tune, and maintain relational and No

SQL databases, including PostgreSQL, MySQL, Aurora, Oracle, MongoDB, and AWS RDS-based services.

• Support database migration, backup, replication, disaster recovery, and point-in-time recovery activities.

• Develop automation scripts and backend services using Python, Bash, SQL, PL/pgSQL, Node.js, and related technologies.

• Support ETL/ELT workflows, data ingestion, data transformation, and downstream API integration.

• Configure and maintain observability and logging stacks such as Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Filebeat, Loki, or similar tools.

• Support secure software delivery in accordance with DoD, IC, RMF, ICD-503, NIST SP 800-53, STIG, and continuous monitoring requirements.

• Collaborate with software engineers, data engineers, cybersecurity teams, system administrators, mission stakeholders, and government technical leads.

• Produce technical documentation, SOPs, deployment notes, architecture diagrams, and operational support artifacts.

• Troubleshoot production issues across cloud infrastructure, containers, databases, pipelines, APIs, and mission applications.

Required Qualifications

• Active TS/SCI clearance.

• Ability to work onsite/hybrid in Dayton, OH; remote-only candidates will not be considered.

• Minimum 8–10 years of relevant experience in data engineering, Dev Sec Ops , software engineering, cloud engineering, or platform engineering.

• Strong hands-on experience with AWS commercial, AWS Gov Cloud, or classified cloud environments.

• Experience…