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Ad Hoc LLC · 9 hours ago

Engineer Lead (Remote)

United States

Full-time

Remote

Senior Level, Lead/Staff

$160K/yr - $180K/yr

9+ years exp

Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. The Engineer Lead will oversee and mentor teams responsible for building and operating a next-generation digital platform focused on public health communication, AI capabilities, and advanced data integration.

ComputerData ManagementSoftware

Culture & Values

Responsibilities

Cloud-native infrastructure design and automation

Kubernetes-based compute platforms

Enterprise CI/CD modernization

Observability, reliability, and automated recovery frameworks

Secure environments optimized for AI, high-velocity data, and modern application architectures

Define and enforce standards for Infrastructure as Code, enabling the organization to operate with full automation, consistency, and auditability across environments

Ensure infrastructure is versioned, tested, policy-validated, and easily scalable

Rapidly integrate new data sources and AI capabilities

Scale to support national-level communication and analytical workloads

Operate with resilience, security, and reliability

Innovate quickly while maintaining trust and performance

Ability to design and review complex automation services, internal APIs, and tooling that streamline deployments, platform operations, and AI-driven workflows

Guide teams in standardized patterns for automation, data integration, and platform observability

Deep experience architecting IaC patterns for large-scale cloud environments

Ability to set organization-wide standards for provisioning, configuration, compliance enforcement, and environment lifecycle management

Lead the shift toward fully automated, reproducible, policy-driven infrastructure

Design and govern real-time event pipelines supporting: AI/ML triggers, High-frequency social/media data ingestion, Real-time system monitoring and health automation, Platform-wide event-driven workflows

Mentor teams on building durable, scalable streaming systems

Expert-level experience running production workloads in Kubernetes (EKS/AKS/GKE)

Strong foundation in cloud networking, multi-region high availability, service mesh, autoscaling, and secure distributed architecture

Ability to architect and standardize enterprise CI/CD frameworks enabling rapid, safe delivery

Skilled in automated testing, security gates, policy-as-code, and zero-downtime deployment strategies

Define organizational SLIs/SLOs and implement resilient monitoring, alerting, and automated remediation

Lead incident response and ensure long-term reliability improvements

Experience managing DevOps, SRE, or Platform Engineering teams, including hiring, mentoring, and performance management

Strength in stakeholder communication and cross-team technical alignment

Ability to establish a strategic platform roadmap that supports emerging AI and data capabilities

Qualification

Infrastructure as CodeCloud-native infrastructure designKubernetes expertiseCI/CD ArchitectureEvent-Driven ArchitectureObservability EngineeringCloud & Container PlatformsSecurity & Compliance AutomationLeadership & People ManagementStakeholder CommunicationHealthcare Interoperability

Required

Bachelor's degree and 9+ years of experience

+ Relevant years of experience may be substituted for education

Ability to design and review complex automation services, internal APIs, and tooling that streamline deployments, platform operations, and AI-driven workflows

Guides teams in standardized patterns for automation, data integration, and platform observability

Infrastructure as Code (Terraform, Pulumi, or CloudFormation)

Deep experience architecting IaC patterns for large-scale cloud environments

Ability to set organization-wide standards for provisioning, configuration, compliance enforcement, and environment lifecycle management

Leads the shift toward fully automated, reproducible, policy-driven infrastructure

Event-Driven Architecture Expertise (Kafka, AWS EventBridge, Azure Event Hubs)

Designs and governs real-time event pipelines supporting: AI/ML triggers, High-frequency social/media data ingestion, Real-time system monitoring and health automation, Platform-wide event-driven workflows

Mentors teams on building durable, scalable streaming systems

Cloud & Container Platform Mastery (AWS, Azure, or GCP + Docker + Kubernetes)

Expert-level experience running production workloads in Kubernetes (EKS/AKS/GKE)

Strong foundation in cloud networking, multi-region high availability, service mesh, autoscaling, and secure distributed architecture

CI/CD Architecture Leadership (GitHub Actions, GitLab CI, Jenkins, or similar)

Ability to architect and standardize enterprise CI/CD frameworks enabling rapid, safe delivery

Skilled in automated testing, security gates, policy-as-code, and zero-downtime deployment strategies

Observability & Reliability Engineering (Prometheus, Grafana, Datadog, CloudWatch, ELK)

Defines organizational SLIs/SLOs and implements resilient monitoring, alerting, and automated remediation

Leads incident response and ensures long-term reliability improvements

Experience managing DevOps, SRE, or Platform Engineering teams, including hiring, mentoring, and performance management

Strength in stakeholder communication and cross-team technical alignment

Ability to establish a strategic platform roadmap that supports emerging AI and data capabilities

Preferred

Security & Compliance Automation (FedRAMP, NIST, Zero Trust) - Experience embedding automated controls, scanning, and compliance policies into CI/CD and runtime environments

Workflow Orchestration (Airflow, Prefect) - Useful for managing complex operational tasks, data processing pipelines, and platform automation efforts

Healthcare Interoperability Experience (FHIR, HL7) - Helpful for data exchange and system-integration needs across HHS

Program-Level Platform Strategy - Experience defining cross-cutting platform modernization plans spanning infrastructure, automation, data, and AI readiness