Platform Automation Engineer

Codetech•Boston, MA

About The Position

The Platform Automation Engineer ensures efficient, secure, and reliable data exchange and process automation. The role configures and manages secure data feeds, automates routine tasks, and maintains Managed File Transfer (MFT) platforms. It also involves developing scripts, primarily in Python and Perl, and managing cloud technologies and containerization frameworks to improve operational processes, scalability, and reliability. The position combines technical work with platform infrastructure and workflow optimization. Some application deployments take place outside regular business hours, including evenings and weekends, and the resource is expected to be available to complete these tasks in a timely manner.

Requirements

Bachelor's degree or equivalent.
Minimum 2–5+ years of related work experience.
Strong analytical, communication, and organizational skills.
Experience managing MFT platforms.
UNIX and Windows scripting experience.
Windows and UNIX skills.

Nice To Haves

Experience with cloud technologies, including Azure and AWS.
Experience with Secure Transport, HCL Workload Automation, and IBM Connect:Direct.
Experience with containerization technologies, particularly Kubernetes.
Certificates in networking, security, scripting, Ansible, cloud, or containerization.

Responsibilities

Configure and maintain SFTP data feeds using Secure Transport, HCL Workload Automation, and Connect:Direct; monitor and troubleshoot transmission issues to ensure data integrity and availability.
Design, implement, and oversee job schedules in HCL Workload Automation; analyze performance and adjust schedules or systems to improve efficiency and resource use.
Develop and implement scripts and Ansible playbooks to automate routine manual processes and reduce human error.
Administer and operate MFT platforms, and update and patch MFT systems to maintain security standards.
Deploy and manage applications in cloud environments such as Azure and AWS; optimize cloud resources and configurations to balance performance and cost.
Implement and manage containerized applications using Kubernetes, supporting deployment, scaling, and container management.
Ensure platform operations comply with relevant laws, regulations, and company policies, and assess and strengthen security measures.
Evaluate system and application performance, identify bottlenecks, propose improvements, and implement monitoring to address potential issues proactively.
Collaborate with IT teams and other departments to align platform engineering with business goals, and provide technical support and guidance.
Stay current with developments in platform engineering, cloud services, and automation tools, and participate in learning and training activities.
Be available to complete certain application deployments outside regular business hours, including evenings and weekends.