Customer Solution Architect

Design, develop, and maintain data ingestion tools using advanced Python engineering practices.

Build and optimize local tool functionalities, ingestion pipelines, automation components, and on-premises services.

Refactor and modernize existing applications to improve maintainability, scalability, performance, and reliability.

Apply Clean Code principles, software design patterns, debugging, profiling, and structured documentation.

Develop and maintain GUI layers using technologies such as PyǪt, EEL, CSS, HTML, and related frameworks.

Improve usability for uploader station operators, support teams, and engineering users.

Translate operational requirements into intuitive and reliable tooling workflows.

Design and maintain CI/CD pipelines for build, test, quality validation, packaging, and release automation.

Manage GitHub repositories, version control strategies, branching models, pull requests, and GitHub workflows.

Use JFrog or similar artifact management solutions for reliable software distribution and package lifecycle management.

Implement static code analysis and quality gates using Pylint, SonarǪube, and comparable tools.

Develop and maintain unit tests, integration tests, and automated validation checks.

Perform code reviews, root cause analysis, debugging, profiling, and continuous quality improvement.

Support Azure-native services, API-based ingestion, automation, and cloud infrastructure improvements.

Manage evolving APIs, data contract alignment, onboarding of new data types, and cross-team technical interfaces.

Bridge on-premises tooling requirements with cloud-based ingestion platforms and backend services.

Work on secure data handling, credential rotation, authentication methods, and secure ingestion design.

Ensure compliance with Volkswagen Group policies, security requirements, and internal governance standards.

Support secure integration of local tools, cloud services, APIs, credentials, and operational environments.

Maintain and evolve Windows Services, packaging, installation flows, WSL interplay, and low-level OS integration.

Develop local services on Windows machines and automate operational tasks with PowerShell and Bash.

Troubleshoot Windows, Linux, networking, service, installation, and deployment issues in on-premises environments.

Maintain observability solutions using LGTM stack, Grafana dashboards, telemetry, alerts, and proactive monitoring.

Improve operational reliability across uploader stations through logs, metrics, traces, dashboards, and incident insights.

Support continuous service improvement by identifying trends, bottlenecks, and stability risks.

Expert-level Python, asynchronous programming, advanced pipelines, refactoring, scaling, debugging, profiling, and maintainable architecture.

CI/CD, GitHub workflows, version management, automation, release processes, JFrog, PowerShell, and Bash scripting.

Pylint, SonarǪube, static code analysis, clean code, design patterns, unit testing, integration testing, and code reviews.

PyǪt, EEL, CSS, HTML, GUI maintenance, UI/UX improvements, and operator-oriented tool design.

Development of local tools, Windows Services, installation flows, packaging, WSL interplay, and low-level OS integration.

Intermediate cloud engineering knowledge, Azure services, API-based integrations, data contracts, and cloud infrastructure improvements.

Authentication methods, secure credential handling, credential rotation, compliance, and secure ingestion design.

LGTM stack or similar platforms, Grafana dashboards, telemetry, proactive monitoring, and operational reliability.

Strong Windows expertise and practical Linux knowledge for troubleshooting, automation, and hybrid environments.

Experience developing on-premises tools for engineering, production-like, or enterprise environments.

Experience working with data ingestion, data transfer, telemetry, uploader stations, or data platform solutions.

Experience integrating local Windows-based applications with APIs, cloud services, and enterprise authentication mechanisms.

Experience in automotive, engineering, or large-scale enterprise environments is highly beneficial.

Familiarity with Volkswagen Group processes, security expectations, and cross-team collaboration models is an advantage.

The ideal candidate is a senior full-stack DevOps and software engineer with very strong Python expertise, solid CI/CD experience, and deep understanding of Windows-based on-premises tooling. They are comfortable developing user-facing tools, Windows services, automation scripts, API integrations, and cloud-connected ingestion workflows. The candidate combines software craftsmanship, operational reliability, observability, security awareness, and a proactive mindset to build tools that are robust, compliant, and easy to use in a demanding Volkswagen Group engineering environment.

Working with Embitel • Freedom to challenge norms, make mistakes, learn and grow • There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel • Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision

To explore an exciting & progressive Career development at Embitel India: • Visit us at: www.embitel.com • Follow us at https://www.linkedin.com/company/embitel-technologies-india