• Own end-to-end deployment, publishing, and configuration for iOS and Android mobile applications • Manage App Store Connect and Google Play Console workflows, including signing, provisioning, and compliance • Automate mobile build and release processes to improve consistency and reduce manual effort • Coordinate closely with Engineering, Product, and Professional Services teams to ensure smooth releases • Design, build, and maintain Ansible automation for deployments, APIs, IIS configuration, certificate rotation, and environment standardization • Use Terraform to provision and manage infrastructure in a repeatable, auditable manner • Reduce configuration drift by establishing infrastructure-as-code as the source of truth • Create reusable automation patterns that support both mobile and backend systems • Operate and tune IIS in Windows-based production environments, including performance optimization and safe restarts • Support containerized workloads (Docker/Kubernetes) and help guide their adoption as part of the platform’s future state • Contribute to CI/CD pipeline improvements that support reliable, predictable deployments

• Design, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queueing, quota management). • Automate infrastructure provisioning and configuration using infrastructure‑as‑code (Terraform, CloudFormation, cluster‑tooling) and configuration management. • Build and maintain robust ML pipelines (data ingestion, training, evaluation, deployment) with strong guarantees around reproducibility, traceability, and rollback. • Implement and evolve ML‑centric CI/CD: testing, packaging, deployment of models and services. • Own monitoring, logging, and alerting across training and serving: GPU/CPU utilization, latency, throughput, failures, and data/model drift (Grafana, Prometheus, Loki, CloudWatch). • Work with terabyte‑scale datasets and the associated storage, networking, and performance challenges. • Partner closely with ML engineers and researchers to productionize their work, translating experimental setups into robust, scalable systems. • Participate in on‑call rotation for critical ML infrastructure and lead incident response and post‑mortems when things break.

• Design, implement, and manage CI/CD pipelines using GitHub Actions, GitOps, GCP-native tools, Azure DevOps, and Jenkins. • Develop, automate, and maintain infrastructure as code across multi-cloud environments (GCP, Azure; Kubernetes, Cloud Run, AKS, GKE). • Build, deploy, and operate containerized services, ensuring health, security, scalability, and high availability. • Integrate tools, platforms, and APIs to streamline operations across AI/ML and virtual agent ecosystems. • Develop and maintain automation scripts and tooling using Python, Shell, and Java/Groovy where appropriate. • Monitor system and application health, implement proactive alerting, and continuously improve reliability and performance. • Troubleshoot infrastructure, networking, and deployment issues across cloud services and application stacks. • Collaborate with engineering and product teams to optimize release processes and platform reliability. • Promote DevOps best practices and maintain clear documentation for system architecture, operations, and troubleshooting.

• Design, implement, and maintain the organization’s security architecture in alignment with federal security standards (e.g., FISMA, NIST SP 800-53, 800-171) and contract requirements • Lead security planning and risk assessments for government systems hosted in AWS • Serve as the primary security point of contact for government programs, overseeing incident response, vulnerability management, and system hardening activities • Develop and maintain security documentation required for system authorization, including System Security Plans (SSPs), Plans of Action and Milestones (POA&Ms), Security Assessment Reports (SARs), and Continuous Monitoring strategies • Support the Authority to Operate (ATO) process across multiple projects, working closely with compliance teams, federal partners, and internal stakeholders • Architect, oversee and support implementation of security controls across AWS services (e.g., IAM, KMS, Security Hub, GuardDuty, CloudTrail, Config, WAF, etc.) • Perform regular audits, security assessments, and continuous monitoring to ensure compliance with government standards and internal policies • Collaborate with engineering teams to integrate security into SDLC/DevOps pipelines, using tools such as SonarQube, Snyk, Tenable, and Jenkins • Lead incident response efforts for government systems, including containment, eradication, and recovery, while maintaining proper documentation and communication protocols • Research and recommend emerging AWS security services and technologies to improve security posture and maintain compliance • Mentor junior DevSecOps team members and foster a culture of security-first thinking across the organization • Interface with federal agency stakeholders, auditors, and security assessors to represent the organization’s security practices and compliance efforts • Participate in proposal development and pre-award planning by advising on security architecture and compliance strategies for new federal opportunities