Company Description
Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in many markets, including financial services, healthcare, automotive, agribusiness, insurance, and more. Experian invests in people and in new advanced technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, which is people-focused, inclusive, and purpose-driven, is recognized by several awards, including World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to find out why. Experian is also proud to be an employer that promotes equal opportunity and affirmative action.
Job Description
We are opening an Engineering Manager position to lead five platform domains: SDLC, Quality Engineering, Developer Experience, GenAI applied to engineering, and Observability. These are squads that build the technical foundation used by all engineering teams in the company, with internal products ranging from a developer portal and CI/CD pipelines to AI agents embedded in the development cycle and an observability platform.
The position reports to the Foundation Engineering Manager and leads coordinators with teams made up of Developers, QAs, and SREs.
The goal is to have a person capable of autonomously taking on a significant part of the technical and business decisions for the area, including representation in architecture forums, roadmap prioritization, and conversations with product, security, and infrastructure stakeholders.
Scope of the domains
• SDLC and Delivery Engineering: standardization of CI/CD pipelines, branching and release strategy, code owners, DORA metrics, dependency management, base images, static security integrated into the pipeline, and engineering maturity per squad.
• Quality Engineering: automated quality gates, testing strategy (contract, mocks, E2E in critical flows), coverage, database migration linters, and quality governance before merge.
• Developer Experience: evolution of the internal developer portal (IDP), service catalog with ownership and operational health, self-service provisioning of cloud resources, golden paths, templates, and the technical onboarding journey for new people.
• GenAI applied to engineering: AI agents for self-service provisioning, automatic code review with blocking of risks in pull requests, and knowledge bases that guide development. Includes agent architecture, quality evaluation of responses, and adoption by teams.
• Observability: standards for logs, traces, and metrics, automated instrumentation from service creation, structured on-call, maturity scorecard per squad, and cost dashboards.
Responsibilities
• Lead coordinators and engineers across the five domains, being accountable for technical results, roadmap delivery, and people development.
• Build and defend the domains' roadmap tied to business and engineering metrics: change failure rate, lead time, test coverage, MTTR, adoption of internal platforms, and reduction of operational support.
• Get into the technical merits of each domain's decisions: review architecture proposals, question assumptions, request data, and reject paths that add complexity without clear return.
• Represent the area in architecture forums, security committees, and conversations with product and technology leadership, with autonomy to decide without escalating everything.
• Translate internal customer pain (developers, QAs, SREs) into prioritized initiatives, with an explicit value hypothesis and a way to measure adoption.
• Sustain the operation of what is already in production: reliability of internal platforms, technical debt, cost, and incident response involving the domains.
• Coordinate initiatives that cut across domains and depend on product teams, negotiating timelines and scope without transferring friction to the squads.
• Develop the leadership layer below: provide context, delegate decisions, calibrate performance, and build succession.
• Define and track quarterly goals per domain, with objective success criteria.
Qualifications
• Prior experience as a software, platform, or infrastructure engineer, with enough depth to discuss code, architecture, and implementation trade-offs on equal footing with senior engineers.
• Mastery of CI/CD practices at scale: branching and release strategies, quality gates, versioning, rollback, and pipeline standardization for multiple stacks.
• Hands-on experience with public cloud (preferably AWS) and Kubernetes as the execution base for microservices, including deployment and security strategies.
• Infrastructure as Code (Terraform) and automation of build, release, and provisioning processes.
• Applied observability: logs, metrics, and distributed tracing, instrumentation with OpenTelemetry, SLI/SLO definition, and an on-call culture.
• Quality engineering as a technical discipline: test pyramid, contract testing, regression test automation, and use of quality data for decision-making.
• Practical understanding of GenAI applied to engineering: agents, RAG, output quality evaluation, inference cost, and the limits of what makes sense to automate.
• DevSecOps: static analysis, vulnerability and dependency management, governance of internal libraries, and security built into the pipeline instead of manual review.
• Platform-as-a-product thinking: discoverability, adoption, consuming team autonomy, and usage metrics.
Leadership expectations
• Real autonomy: ability to drive a topic end to end, decide with incomplete information, and own the consequences.
• Critical thinking: question demand without clear value, including when it comes from above, and propose alternatives instead of simply refusing.
• Direct and accessible communication, adjusting depth to the audience: engineers, product managers, or executives.
• Consultative decision-making: listen to the team and seek consensus before deciding, without turning this into paralysis.
• Managing conflict and expectations across areas without passing the cost on to the squads.
• Focus on measurable results rather than delivery volume.
Differentiators
• Experience leading an internal developer platform (Backstage or equivalent) with adoption metrics.
• Prior experience in Site Reliability Engineering or operating high-volume critical systems.
• Experience in a regulated or sensitive-data environment, with audit and compliance requirements.
• Experience putting AI into production within the development cycle, not just in proof of concept.
• Certifications in cloud, Kubernetes, or HashiCorp.
• Participation in technical communities, conferences, or open source projects.
Requirements
• Experience leading engineering teams, with at least one stint managing multiple squads or a leadership layer below.
• Track record of ownership of platform, infrastructure, or development lifecycle, not only product teams.
• Bachelor's degree in Computer Science, Software Engineering, or related fields, or equivalent experience.
• English for technical conversations with global teams.
Additional Information
Serasa Experian is much more than you might imagine. With the purpose of creating a better future by expanding opportunities for people and businesses, in Brazil we are more than 4,000 people working across many teams and specialties. Here, every skill and diversity complements the others, and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, valuing well-being.
We work hard to be one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through several market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals and have a 4.6 rating on Glassdoor. Each recognition tells us we are on the right path, providing an increasingly better work environment for our talent.
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