DevOps Engineer, Local and go In person
Listed on 2026-06-24
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure, AWS
Dev Ops Engineer, Local candidates and can go for In person interview.
Bethesda, Maryland, US Posted 5 weeks ago
Role OverviewAjace Inc is hiring a mid-level Dev Ops Engineer, Local candidates and can go for In person interview. This is a contract hybrid role, based in Bethesda. Part of Ajace Inc's Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary ContextSalary is not disclosed in this posting. Market median for Mid-level Lifecycle roles is $100k-$125k (based on 122 comparable listings). Many employers share specifics during the interview process or after an initial screen.
Job Description Position SummaryWe are seeking a highly skilled Senior Dev Ops / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (Google Cloud Platform) environment. This role requires deep hands‑on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance‑driven engineering, and AI platform deployment and configuration management.
Key Responsibilities- Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
- Assist in building and operationalizing Google Cloud Platform support capabilities for new and future workloads.
- Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.
- Deploy, manage, and troubleshoot applications across AWS and Google Cloud Platform environments.
- Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
- Implement and support Infrastructure as Code and environment standardization practices.
- Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.
- Automate provisioning, configuration, and lifecycle management for AI‑enabled infrastructure and services.
- Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands‑on AI application or model development.
- Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.
- Monitor system health, availability, and performance, and proactively resolve operational issues.
- Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
- Independently manage assigned work items, priorities, and deliverables with minimal supervision.
- Contribute to platform engineering best practices, cloud governance, and automation strategy.
- 10+ years of overall IT experience, with significant focus on Dev Ops, cloud engineering, systems engineering, or platform engineering.
- Strong hands‑on experience supporting and deploying workloads in AWS.
- Working knowledge or hands‑on experience with Google Cloud Platform, including deployment and support of applications and cloud services.
- Proven experience designing and implementing CI/CD processes and tools in enterprise environments.
- Strong hands‑on experience with automation and scripting using Ansible and Python.
- Experience deploying, configuring, and supporting applications in cloud environments.
- Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.
- Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
- Experience working in compliance‑driven environments, such as FedRAMP, NIST‑based environments, or similar regulated frameworks.
- Experience with source control and Dev Ops tool chains such as Git, Jenkins, Git Lab CI, Git Hub Actions, or similar platforms.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Strong troubleshooting, problem‑solving, and root cause analysis skills.
- Excellent verbal and written communication skills.
- Ability to work independently and deliver…
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