Senior Developer Experience (DevEx) Engineer

Developer Experience & Platform Engineering

• Define and own the Developer Experience roadmap for the Platform Team, aligned with organizational goals.

• Experience with IDP tools such as backstage, cortex etc.

• Design, build, and maintain internal developer platforms that simplify and standardize development workflows.

• Integrate and champion AI-powered developer tools (AI-assisted code generation, intelligent code review, automated documentation).

• Continuously evaluate emerging AI development tools and APIs for workflow integration.

• Establish and promote best practices for Azure DevOps CI/CD pipelines, local development environments, and cloud-native deployments.

• Reduce developer cognitive load by abstracting infrastructure complexity, improving release management, and championing self-service capabilities.

• Drive self-service solutions for engineers to provision, test, and deploy safely and autonomously.

• Optimize feedback loops in partnership with product teams to enable rapid iteration and higher-quality releases.

• Measure and improve DORA/SPACE and developer productivity metrics, using data for continuous improvements.

• Lead developer education/enablement initiatives; produce demos, presentations, and certify new DevEx features.

• Evaluate and implement security, compliance, and observability best practices into developer toolchains.

• Ensure secure and responsible AI tooling usage in line with org AI governance.

• Advocate for an engineering culture of continuous improvement.

Platform & Data Engineering

• Drive digital innovation by leveraging new technologies and methodologies to transform core data assets (SQL, NoSQL, and Cloud-based data platforms).

• Implement efficient data flows: code data pulls, transformations, and exchanges across internal/external sources.

• Work with complex, possibly "noisy" data ensuring data consistency and collaborating with upstream teams.

• Define cost-efficient data storage strategies for CI/CD data repositories.

• Architect and promote reusable data assets, managing reference data catalogs and surfacing data for end-user consumption via Azure API Apps or modern visualization tools.

• Aggregate/analyze internal/external structured and unstructured data and deliver actionable insights to decision-makers.

• Implement advanced monitoring, logging, and observability practices for developer workflows and data pipelines.

Required Qualifications:

• 8+ years' professional software engineering experience, with 3+ years in platform engineering, developer experience, or DevOps roles.

• Track record of delivering developer productivity and platform initiatives at scale.

• Deep experience with cloud-native development (Azure DevOps, GitHub Enterprise, Kubernetes), and CI/CD.

• Expertise in integrating and using AI-powered development tools (e.g., GitHub Copilot, OpenAI API, AI-based testing).

• Solid knowledge of software delivery metrics (DORA, SPACE) and improvement methods.

• Advanced proficiency in at least one programming language (Java, Go, Python, etc.) and modern IaC tools (Terraform).

• Experience building/operating new platform/DX functions and influencing technical direction.

• Exceptional communication and stakeholder management skills; able to bridge infra, product, and engineering concerns.

• Extensive Azure expertise: Azure DevOps (ADO), Azure SQL, Azure NoSQL, Azure APIs, Event Hub, Stream Analytics, Storage, Log Analytics.

• Working knowledge of ELK stack (Elastic, Logz.io, Splunk), and cloud-based monitoring/logging.

• Scripting/automation skills (PowerShell, Python, YAML).

• Experience configuring cloud monitoring (Azure Application Insights, Log Analytics/KQL).

• AWS experience (EC2, S3, EMR) and cloud data migration.

Preferred Qualifications:

• Experience in multi-team engineering environments with a core focus on developer enablement.

• Familiarity with Team Topologies and cognitive load reduction strategies.

• Previous work integrating observability, monitoring, and logging in developer-facing systems.

• Event-driven architecture and microservices experience.

• Hands-on secure software supply chain practices (SBOMs, artifact signing, etc.).

• Experience with BI tools and dashboards (Tableau, Business Objects).

• Experience with DevOps/CI/CD tooling (Maven, Jenkins, Stash, Ansible, Docker).

• Experience using Agile methodologies (Kanban, SCRUM).