Platform Engineer - Washington, DC

Platform Engineer
6 months, extension
Washington, DC
We are looking for candidates that CURRENTLY HAVE A PUPLIC TRUST.

Key Responsibilities:

• Lead the design and implementation of robust platform solutions, focusing on scalability, performance, and security.
• Collaborate with architects and other stakeholders to define platform strategies, ensuring alignment with business goals and technical requirements.
• Evaluate and recommend new platform technologies, tools, and methodologies to optimize performance and cost-effectiveness.
• Design and implement cloud-based platforms (AWS, Azure, Google Cloud Platform) and ensure seamless integration with internal systems and applications.
• Drive the automation of infrastructure provisioning and management using tools such as Terraform, Ansible, Chef, or Puppet.
• Implement and maintain CI/CD pipelines to automate deployments and reduce manual intervention in platform management.
• Ensure infrastructure as code (IaC) practices are followed to ensure consistency and repeatability in deployments.
• Lead and mentor a team of platform engineers, providing technical guidance and helping them develop their skills.
• Manage and prioritize tasks within the team, ensuring timely delivery of projects and effective resource utilization.
• Manage and maintain cloud infrastructure, including provisioning, monitoring, and scaling cloud resources (compute, storage, networking).
• Collaborate with DevOps teams to integrate platform solutions with automated deployment pipelines and container orchestration (e.g., Kubernetes).
• Develop and maintain detailed documentation for platform architecture, configurations, and procedures.
• Work closely with other engineering teams (DevOps, software, network, security) to align platform solutions with application and infrastructure needs.
• Communicate technical solutions and strategies to non-technical stakeholders, ensuring alignment on platform goals and expectations.
• Provide technical leadership and support for ongoing projects, ensuring platform solutions meet both business and technical requirements.

Qualifications:

• Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).
• 7+ years of experience in platform engineering, infrastructure management, or a related technical field, with at least 3 years in a leadership role.
• Expertise in cloud platforms (AWS, Azure, Google Cloud Platform) and multi-cloud environments.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration.
• Proficient in infrastructure as code (IaC) tools such as Terraform, CloudFormation, or Ansible.
• Strong experience with CI/CD pipelines (Jenkins, GitLab CI, CircleCI, etc.).
• In-depth understanding of networking, storage, and compute resources in both cloud and on-prem environments.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Splunk).
• Knowledge of Linux/Unix and/or Windows server administration and performance tuning.
• Proven ability to lead and mentor a team of engineers, facilitating knowledge sharing and fostering a collaborative work environment.
• Strong troubleshooting skills, with the ability to analyze complex platform issues and implement effective solutions.
• Understanding of security best practices for cloud platforms and infrastructure.
• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Ability to manage multiple projects, prioritize tasks, and deliver solutions within set deadlines.

Desirable Skills:

• Certifications in relevant cloud technologies (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, Google Cloud Professional Cloud Architect).
• Experience with microservices architecture and designing platforms for microservices-based applications.
• Knowledge of Agile methodologies and experience working in an Agile environment.
• Familiarity with serverless technologies and frameworks (e.g., AWS Lambda, Azure Functions).
• Experience with enterprise-scale platform engineering solutions and working with large-scale, high-availability systems.