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Date Posted:  May 15, 2025
Company:  Data Analysis Inc

Title:  Platform Engineering Lead

About Us

Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and information to omnichannel communication solutions. DAI provides leadership, oversight, and strategic direction and shapes the purpose, vision, and mission of these firms. Shared services include administration, finance, and human resources. DAI’s global team embraces an entrepreneurial focused environment fostering collaboration, teamwork, and creativity with a dynamic culture that emphasizes the value of its associates and their dedication to success. We strive to be leaders in our field, innovators with a history of being in the forefront of using technology to deliver our services. 

Summary

This is an in-house/on-site position. You must currently reside in the DFW Metroplex area of Texas to be considered. The Platform Engineering Lead will spearhead the transformation of ODS’s software development lifecycle (SDLC) by establishing scalable, cloud-native platforms and fostering a culture of engineering excellence. This role requires a hands-on leader with deep expertise in test automation, modern DevOps practices, and cross-functional team leadership. The ideal candidate will also build and mentor a high-performing team in India to support global operations while driving platform standardization, quality, and compliance across ODS’s initiatives.

Duties and Responsibilities

Platform Engineering Leadership

  • Design and implement scalable, secure, and cloud native.
  • Drive the adoption of "paved path" technologies to standardize development pipelines across teams.
  • Collaborate with cross-functional teams (Development, QE, Solution Architecture, Agile Coach) to ensure end-to-end platform alignment.

Quality Engineering Enablement

  • Build foundational tooling for quality initiatives, including source code repositories, CI/CD pipelines, and automated testing frameworks.
  • Leverage AI-powered tools like Windsurf IDE and Cursor IDE to accelerate code quality analysis and debugging workflows.
  • Implement test management solutions (e.g., Jira/X-Ray) to centralize test case creation, execution, and reporting.

Team Building & Mentorship

  • Recruit, train, and manage a platform engineering team in India to expand global capabilities.
  • Provide technical mentorship to engineers on DevOps practices, automation frameworks, and cloud architecture.
  • Foster a culture of continuous improvement through enablement sessions and cross-team collaboration.

Governance & Compliance

  • Establish governance processes to ensure compliance with PHI/PII regulations (e.g., SOC2, ISO27001).
  • Implement robust monitoring solutions (e.g., New Relic) to enhance operational resilience.
  • Develop dashboards to track platform usage metrics, test case coverage, and production issue prevention rates.

Operational Excellence

  • Drive the adoption of ITIL-based processes for change management and incident resolution.
  • Collaborate with production support teams to ensure seamless deployments and minimize downtime.
  • Conduct root cause analyses (RCA) for recurring issues and implement preventive measures.

Qualifications & Requirements

  • 10+ years of experience in platform engineering or quality engineering roles with a focus on test automation frameworks.
  • Proven expertise in Jira/X-Ray integration for SDLC traceability.
  • Hands-on experience with Agile methodologies (Scrum/SAFe) and modern DevOps tools like Jenkins, Argo CD, Playwright, Pact Broker, and JMeter.
  • Familiarity with AI-driven tools such as Windsurf IDE or Cursor IDE for code analysis and optimization.
  • Demonstrated success in building offshore teams (preferably in India) to scale global engineering operations.

Technical Skills

  • Proficiency in cloud platforms: AWS/Azure (architecture certifications preferred).
  • Strong programming skills: C#, Python, JavaScript, or Java for scripting automated tests.
  • Expertise in CI/CD pipeline optimization using Jenkins or similar tools.

Certifications (Preferred)

  • AWS Certified Solutions Architect.
  • ISTQB Advanced Test Automation Engineer Certification.
  • ITIL 4 Foundation Certification

Working Conditions

Must be able to perform the essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each work day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds.

Equal Opportunity Employer

Data Analysis Inc is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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