Solutions Operations Lead
About the role
The Solutions Operations Lead oversees secure, scalable, and compliant cloud operations, deployment automation, DevSecOps practices, and infrastructure reliability across mission-critical environments. This role is ideal for a hands-on technical leader with deep expertise in AWS cloud operations, Infrastructure as Code (IaC), CI/CD automation, security, compliance, and platform governance, along with proven experience leading and mentoring engineering teams.
Responsibilities
- Cloud Operations, Infrastructure Management & Reliability
- Lead day-to-day cloud and platform operations across AWS and hybrid environments, ensuring availability, resiliency, performance, and mission continuity.
- Oversee the provisioning, deployment, hardening, patching, and lifecycle management of cloud infrastructure and application environments across development, test, pre-production, and production.
- Establish and enforce operational standards for environment readiness, configuration management, backup and recovery, monitoring, alerting, and incident response.
- Drive continuous improvement in platform reliability, operational efficiency, and service maturity through automation and standardization.
- DevSecOps, Deployment Automation & Infrastructure as Code
- Lead the design, implementation, and optimization of DevSecOps pipelines and deployment automation using tools such as AWS CDK/Terraform/CloudFormation, Git, Jenkins/GitLab, GitHub Actions, AWS CodePipeline, Docker, and related technologies.
- Promote Infrastructure as Code (IaC) practices to standardize provisioning, improve repeatability, and reduce manual configuration drift across environments.
- Define and oversee deployment strategies, environment promotion processes, release readiness standards, and change control procedures.
- Security, Compliance & Operational Governance
- Partner with cybersecurity and compliance teams to implement secure operational practices aligned with NIST, CIS, FISMA, FedRAMP, and zero-trust principles.
- Ensure infrastructure, deployment workflows, and operational processes are audit-ready and support logging, monitoring, vulnerability remediation, access control, and evidence collection requirements.
- Support ATO-aligned operational activities, control implementation, and readiness documentation, as applicable.
- Leadership, Team Management & Cross-Functional Collaboration
- Lead and mentor a team of DevSecOps, cloud, and platform engineers, fostering a culture of accountability, collaboration, continuous improvement, and technical excellence.
- Provide direction for operational priorities, issue resolution, automation efforts, and deployment support activities across the team.
- Collaborate with engineering, architecture, networking, application, and security stakeholders to align operations with delivery timelines and enterprise standards.
- Communicate operational status, technical risks, recommendations, and improvement opportunities clearly to both technical and non-technical stakeholders.
- Documentation, Process Improvement & Operational Excellence
- Develop and maintain high-quality operational documentation, including SOPs, runbooks, architecture diagrams, deployment procedures, and secure configuration baselines.
- Define and track operational KPIs, deployment metrics, service health indicators, and compliance-related measures to support transparency and informed decision-making.
- Identify opportunities to improve reliability, security, efficiency, and team performance through process refinement, tooling enhancements, and automation.
- Support business continuity, disaster recovery, and operational readiness planning across supported solutions and environments.
Requirements
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
- Bachelor’s degree in Engineering, Information Technology, Computer Science, or related field (or equivalent experience).
- Minimum TEN (10) years of experience in cloud operations, infrastructure engineering, DevOps/DevSecOps, or enterprise platform operations.
- Minimum THREE (3) years of experience in a technical leadership role, including leading or mentoring a team of engineers responsible for cloud, DevOps, platform, or security operations.
- Strong hands-on experience with AWS cloud services and hybrid infrastructure environments.
- Strong experience with Infrastructure as Code (IaC), Terraform or CloudFormation or AWS CDK, for provisioning and managing cloud infrastructure.
- Strong experience building and operating CI/CD pipelines and deployment automation using tools such as Git, GitLab, GitHub Actions, AWS SDK, AWS CodePipeline, and Docker.
- Strong understanding of DevSecOps principles, secure SDLC practices, release automation, and operational governance.
- Experience implementing and supporting security and compliance controls aligned with frameworks such as NIST, CIS, FISMA, FedRAMP, and zero-trust.
- Experience with system logging, monitoring, alerting, dashboards, and operational observability to support reliability and incident management.
- Strong scripting and automation skills using Python, Bash, or similar languages.
- Demonstrated ability to troubleshoot complex operational, deployment, and infrastructure issues across cloud and hybrid enterprise environments.
- Strong written and verbal communication skills, with the ability to work effectively across engineering, security, operations, and executive stakeholders.
Qualifications
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
- Bachelor’s degree in Engineering, Information Technology, Computer Science, or related field (or equivalent experience).
- Minimum TEN (10) years of experience in cloud operations, infrastructure engineering, DevOps/DevSecOps, or enterprise platform operations.
- Minimum THREE (3) years of experience in a technical leadership role, including leading or mentoring a team of engineers responsible for cloud, DevOps, platform, or security operations.
- Strong hands-on experience with AWS cloud services and hybrid infrastructure environments.
- Strong experience with Infrastructure as Code (IaC), Terraform or CloudFormation or AWS CDK, for provisioning and managing cloud infrastructure.
- Strong experience building and operating CI/CD pipelines and deployment automation using tools such as Git, GitLab, GitHub Actions, AWS SDK, AWS CodePipeline, and Docker.
- Strong understanding of DevSecOps principles, secure SDLC practices, release automation, and operational governance.
- Experience implementing and supporting security and compliance controls aligned with frameworks such as NIST, CIS, FISMA, FedRAMP, and zero-trust.
- Experience with system logging, monitoring, alerting, dashboards, and operational observability to support reliability and incident management.
- Strong scripting and automation skills using Python, Bash, or similar languages.
- Demonstrated ability to troubleshoot complex operational, deployment, and infrastructure issues across cloud and hybrid enterprise environments.
- Strong written and verbal communication skills, with the ability to work effectively across engineering, security, operations, and executive stakeholders.
Skills
- AWS Certified DevOps Engineer – Professional, AWS Solutions Architect, AWS Security Specialty, or equivalent certification.
- CompTIA Security+, CISSP, or related cybersecurity certification.
- Experience supporting federal or highly regulated environments, including ATO, FISMA, FedRAMP, or similar compliance requirements.
- Experience with container platforms and orchestration, such as Kubernetes or Amazon EKS.
- Experience with secrets management, policy-as-code, vulnerability scanning, security automation, and compliance tooling.
- Experience supporting high-availability architectures, disaster recovery, and continuity of operations planning.
- Experience with monitoring, observability, and SIEM tools such as CloudWatch, Splunk, Prometheus, Grafana, or similar platforms.
- Experience supporting data platforms or analytics environments, including AWS-native data services or platforms such as Databricks.
- Experience using AI-assisted engineering tools to improve delivery velocity while maintaining code quality, testing discipline, and secure engineering standards.
Benefits
The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.