About the Role
ISS STOXX is seeking a Principal Platform Engineer to shape the next evolution of our platform engineering capability, focusing on multi-cloud strategy and enabling the organization's AI transformation. You will work across GCP and AWS, developing tooling, patterns, and platform services for AI-powered applications and emerging AI technologies at enterprise scale. As a Principal Engineer, you will solve complex technical challenges, influence technical direction, and evaluate emerging technologies to create practical, reusable capabilities.
Responsibilities
- Shape the architecture, evolution, and operational excellence of ISS STOXX's global cloud platforms across GCP and AWS, ensuring they remain secure, scalable, resilient, and easy for engineering teams to consume.
- Design, build, and mature AWS landing zone capabilities that align with the standards, governance, automation, security controls, and developer experience established with our GCP platform.
- Develop and enhance platform services, self-service capabilities, CI/CD tooling, observability solutions, and automation frameworks that improve developer productivity and operational effectiveness.
- Contribute to our AI transformation by building the platform capabilities, tooling, operational patterns, and guardrails required to support AI-powered applications, agentic workflows, and emerging AI technologies at enterprise scale.
- Act as a technical authority for complex platform engineering challenges, providing hands-on leadership during critical incidents and guiding the resolution of high-impact technical problems.
- Evaluate emerging technologies, develop proof-of-concepts, and translate successful innovations into practical, reusable platform capabilities that deliver measurable business value.
- Partner with engineering, architecture, security, and product teams to define technical direction, establish engineering standards, and ensure platform capabilities meet current and future business requirements.
- Drive continuous improvement across platform reliability, observability, automation, security, cost efficiency, and developer experience through data-driven engineering practices.
- Mentor and support engineers across the organisation, promoting platform engineering best practices, technical excellence, and a culture of continuous learning and collaboration.
- Contribute to the long-term evolution of the Platform and AI Engineering functions, helping balance operational excellence with innovation while enabling teams to deliver value quickly and safely.
Requirements
- At least 10 years' experience in platform engineering, cloud engineering, or related disciplines, with a proven track record of designing and operating large-scale enterprise platforms.
- Strong experience designing and implementing cloud-native platforms and engineering capabilities on GCP and/or AWS.
- Experience building or maturing cloud landing zones, platform governance frameworks, and self-service developer platforms.
- Deep understanding of modern cloud architectures, including containers, Kubernetes, serverless technologies, APIs, networking, security, and identity management.
- Strong hands-on expertise with Infrastructure as Code, with master proficiency in Terraform.
- Experience developing and operating large-scale CI/CD, automation, and platform engineering capabilities that improve developer productivity and operational excellence.
- Experience evaluating emerging technologies, developing proof-of-concepts, and translating successful concepts into production-ready platform capabilities.
- Practical experience enabling AI and data-driven workloads on cloud platforms, including familiarity with the tooling, operational considerations, and governance requirements associated with modern AI solutions.
- Strong software engineering and automation skills, with expertise in Python and experience building reusable tooling and platform services.
- Experience with modern platform and engineering tooling such as GitHub Actions, Apigee, Airflow, and related cloud-native technologies.
- Expertise with observability platforms such as Data Dog, Prometheus, Grafana, ELK, Splunk or equivalent, including monitoring, logging, tracing, reliability engineering, and incident management.
- Sound technical judgement with the ability to balance innovation, risk, operational excellence, and business outcomes.
- Proven ability to influence technical direction, build consensus, and drive adoption of engineering best practices across multiple teams.
- Experience coaching and mentoring engineers, fostering technical excellence, continuous learning, and collaborative problem-solving.
- Experience working effectively within global, distributed, or multinational engineering organisations.
- Excellent communication, documentation, and stakeholder engagement skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- A pragmatic, outcome-focused approach with a passion for simplicity, automation, observability, and continuous improvement.
- Willingness to participate in out-of-hours support and major incident escalation when required.
Skills
- GCP
- AWS
- Multi-cloud platform strategy
- AWS landing zone capabilities
- Platform services
- Self-service capabilities
- CI/CD tooling
- Observability solutions
- Automation frameworks
- AI transformation
- AI-powered applications
- Agentic workflows
- Emerging AI technologies
- Infrastructure as Code
- Terraform
- Python
- GitHub Actions
- Apigee
- Airflow
- Data Dog
- Prometheus
- Grafana
- ELK
- Splunk
- Monitoring
- Logging
- Tracing
- Reliability engineering
- Incident management
Location
- Global
Work Type
- Full-time
Experience Level
- Principal
- 10 years' experience
Education Level
- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Benefits
- Culture that values diverse skills, perspectives, and experiences
- Environment that fuels creativity, drives innovation, and has real impact
- Opportunity to grow your career
About the Company
- ISS STOXX delivers world-class research, data, and technology solutions that empower capital market participants to pursue their visions with confidence.
- Expertise spans indices, corporate governance, sustainability, cyber risk, and fund intelligence.
- Provides clients with tools to uncover opportunities, manage risks, and navigate evolving regulations.
- Comprised of 4,000 professionals operating across 20 countries and serving approximately 5,000 clients.
- Scale and reach provide deep market knowledge.
- Innovative methodologies offer tailored insights that drive impact and success.
- ISS STOXX Indices, including the renowned STOXX and DAX families, sets the standard for rules-based, transparent, and liquid benchmarks and indices.
- Products and solutions are used by sophisticated institutional investors, ETF issuers, and providers of derivatives and structured products.
Equal Opportunity
- ISS STOXX is committed to fostering, cultivating, and preserving a culture of diversity and inclusion.
- Policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law.
- All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.
