Data Quality Assurance Specialist ensuring accurate documentation for Geoinformation system at DeepUp. Collaborating with teams to manage data quality and support capacity planning.
About the role
- Lead Platform Engineer in a technology company focusing on DevOps, QA, AI, and engineering excellence. Collaborate across teams for predictable software delivery and quality improvements.
Responsibilities
- Own DevOps and QA outcomes across assigned programs, ensuring delivery milestones are met in line with agreed timelines.
- Partner closely with various teams to ensure smooth, predictable execution.
- Provide clear technical direction and decision-making, reducing ambiguity for internal teams and external partners.
- Provide hands-on technical leadership across: DevOps and CI/CD pipelines, QA automation frameworks, Cloud platforms and tooling, Engineering standards and best practices.
- Define, standardize, and enforce processes, tools, and architectural patterns to ensure consistency and reuse across teams.
- Lead modernization of CI/CD pipelines, test automation frameworks, and selected platform components, creating long-term leverage across multiple programs.
- Oversee QA strategies and testing practices across teams.
- Establish quality metrics and acceptance criteria.
- Drive test automation initiatives and coverage improvements.
- Monitor defect trends and quality indicators.
- Leverage AI‑driven and automation‑first approaches to improve: delivery speed and quality, test coverage and reliability, pipeline efficiency and release confidence, observability and operational insight.
- Act as a translation layer between strategy and execution, converting enterprise standards into practical, team‑level implementation.
- Serve as a technical authority for assessing solutions, tooling options, and architectural tradeoffs.
- Drive strong day‑to‑day collaboration with engineering teams, accelerating adoption of standard platforms and tooling.
Requirements
- 8+ yrs experience leading DevOps, QA and platform engineering initiatives in complex, multi-team delivery environments.
- Strong understanding of software architecture patterns and principles.
- Deep knowledge of SDLC methodologies and development best practices.
- Deep expertise in CI/CD pipelines, cloud platforms, infrastructure tooling, and QA automation.
- Knowledge of security, performance, and scalability patterns.
- Experience with quality assurance frameworks and methodologies.
- Proven ability to design and evolve scalable, secure, and maintainable delivery platforms.
- Experience embedding automation and AI‑assisted capabilities into engineering workflows.
- Proven ability to provide clear technical leadership across teams.
- Strong stakeholder management skills, with the ability to align product, engineering, security, and enterprise architecture.
- Bachelor's degree in computer science or related field.
- Azure (or equivalent) certifications strongly preferred.
- Excellent problem-solving and communication skills.
- Self-starter with a strong execution mindset.
- Passion for modern cloud technologies, mentorship, and engineering excellence.
Benefits
- A commitment to providing reasonable accommodations to individuals with disabilities and veterans
- Equal opportunity employer
- A focus on mentoring and engineering excellence
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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