Principal Platform Engineer at DTCC Candidate Experience Site

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Ansible, Terraform, BGP, OSPF, MPLS, AI/ML, AWS, Azure, GCP, GitOps, IaC, MLOps, Automation, Collaboration, Security

Industry

Financial Services

Description

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The impact you will have in this role: We are seeking a highly skilled and innovative Network Automation Engineer with expertise in AI/ML technologies to join our Platform Engineering team. This role will focus on designing, developing, and deploying intelligent automation solutions to optimize network operations, enhance performance, and reduce manual intervention across our infrastructure. Your Primary Responsibilities: Design and implement network automation workflows using Python, Ansible, and other relevant tools. Integrate AI/ML models to predict network anomalies, optimize traffic routing, and enhance fault detection. Collaborate with data scientists and network engineers to build intelligent systems that improve operational efficiency. Develop APIs and microservices to support automation and orchestration platforms. Monitor and analyze network performance metrics using AI-driven insights. Maintain and improve CI/CD pipelines for network automation deployments. Document automation processes and provide training/support to operations teams. **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Bachelors / Masters or with equivalent experience. 5+ years of experience in network engineering and automation. Talents Needed for Success: Proficiency in scripting languages (Python, Bash) and automation tools (Ansible, Terraform). Strong understanding of networking protocols (BGP, OSPF, MPLS, etc.). Experience with AI/ML frameworks. Hands-on experience with cloud platforms (AWS, Azure, GCP) and SDN technologies. Excellent problem-solving and communication skills. Certifications: CCNP, DevNet, AWS/Azure Certified, or equivalent. Experience with network telemetry and observability platforms. Knowledge of MLOps practices and model deployment strategies. Experience with GitOps and Infrastructure as Code (IaC). Systems Thinking: Ability to understand and optimize complex, interconnected network environments. Innovation Mindset: Passion for exploring emerging technologies and applying AI/ML creatively to solve operational challenges. Automation First Mentality: Strong drive to eliminate manual tasks through scalable automation. Data-Driven Decision Making: Skilled in interpreting data and applying machine learning insights to guide network strategies. Collaboration & Communication: Comfortable working across teams and translating technical concepts for non-technical stakeholders. Adaptability: Thrives in a fast-paced environment and embraces change as an opportunity for growth. Security Awareness: Understands the importance of secure automation practices and integrates security into design and implementation. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Responsibilities

Design and implement network automation workflows and integrate AI/ML models to enhance network operations. Collaborate with teams to build intelligent systems and maintain CI/CD pipelines for automation deployments.