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successfactors

Specialized Technology Expert Level 4

Globant
Pune, IND
Senior · 14+ years experience
Onsite
Discovered 2 days ago
angularazurekubernetesreact

Full Job Posting

Key Responsibilities

  • Deliver high-quality production code and architecture contributions in a hands-on capacity. Partner with product, architecture, and engineering teams to define practical AI-enabled ways of working. Run workshops, coaching sessions, and pairing sessions to train engineers on effective AI-assisted software delivery. Create examples, reference implementations, and reusable artifacts that teams can adopt directly. Evaluate AI development tools, workflows, and guardrails through technical proof-of-concepts. Define what good looks like for AI-generated plans, code reviews, validation evidence, and traceability outputs. Review and improve engineering practices covering design quality, coding standards, testing, deployment readiness, and maintainability. Support observability, monitoring, automation, and operational readiness as part of the full delivery lifecycle. Help teams make sound technical decisions and retain human control over important architectural and product-impacting choices.

Required Experience

  • 14+ years of experience in software development, technical architecture, or full-stack engineering. Strong hands-on experience with .NET Core / .NET, C#, Azure, and cloud-native application design. Experience designing and delivering distributed systems, API-based solutions, and integration-heavy platforms. Demonstrated practical experience using AI-assisted development tools in real engineering work, not only experimentation. Proven ability to define or improve engineering workflows across planning, coding, testing, review, and release. Experience coaching, mentoring, or training engineers on technical practices, developer tooling, or delivery methods. Strong understanding of software design principles such as SOLID, DDD, OOP, and common design patterns. Experience with CI/CD, DevOps practices, code review, testing strategies, and production support. Ability to assess AI-generated output critically and explain trade-offs, risks, and corrective actions. Strong communication skills and ability to work effectively with cross-functional teams Preferred Experience Experience establishing engineering standards, playbooks, or governance for AI-assisted development. Experience creating reusable prompt libraries, command systems, templates, or developer enablement assets. Experience in observability, monitoring, and alerting solutions. Exposure to frontend technologies such as Angular or React. Experience with Kubernetes / AKS. Experience supporting legacy-to-modern platform migration. Azure certifications such as AZ-305 or AZ-104. What Strong Candidates Will Demonstrate They can show how they use AI to accelerate delivery without losing architectural control or engineering quality. They can explain how they plan work before implementation and how they refine that plan during execution. They can show examples of constraining AI with clear requirements, file references, coding rules, and expected outputs. They can demonstrate a repeatable workflow for AI-assisted delivery rather than relying on one-off prompting. They can explain how they review AI-generated code, validate it, and connect implementation results back to requirements. They are capable of teaching these practices clearly and raising the capability of other engineers. Why This Role Matters We are looking for someone who can improve software delivery in two ways at the same time: by contributing directly as a senior engineer and by helping the wider team adopt a disciplined, scalable, and auditable way of working with AI. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits .

Preferred Qualifications

  • 14+ years of experience in software development, technical architecture, or full-stack engineering. Strong hands-on experience with .NET Core / .NET, C#, Azure, and cloud-native application design. Experience designing and delivering distributed systems, API-based solutions, and integration-heavy platforms. Demonstrated practical experience using AI-assisted development tools in real engineering work, not only experimentation. Proven ability to define or improve engineering workflows across planning, coding, testing, review, and release. Experience coaching, mentoring, or training engineers on technical practices, developer tooling, or delivery methods. Strong understanding of software design principles such as SOLID, DDD, OOP, and common design patterns. Experience with CI/CD, DevOps practices, code review, testing strategies, and production support. Ability to assess AI-generated output critically and explain trade-offs, risks, and corrective actions. Strong communication skills and ability to work effectively with cross-functional teams Preferred Experience Experience establishing engineering standards, playbooks, or governance for AI-assisted development. Experience creating reusable prompt libraries, command systems, templates, or developer enablement assets. Experience in observability, monitoring, and alerting solutions. Exposure to frontend technologies such as Angular or React. Experience with Kubernetes / AKS. Experience supporting legacy-to-modern platform migration. Azure certifications such as AZ-305 or AZ-104. What Strong Candidates Will Demonstrate They can show how they use AI to accelerate delivery without losing architectural control or engineering quality. They can explain how they plan work before implementation and how they refine that plan during execution. They can show examples of constraining AI with clear requirements, file references, coding rules, and expected outputs. They can demonstrate a repeatable workflow for AI-assisted delivery rather than relying on one-off prompting. They can explain how they review AI-generated code, validate it, and connect implementation results back to requirements. They are capable of teaching these practices clearly and raising the capability of other engineers. Why This Role Matters We are looking for someone who can improve software delivery in two ways at the same time: by contributing directly as a senior engineer and by helping the wider team adopt a disciplined, scalable, and auditable way of working with AI. At Globant, we believe in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for all employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter. We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant’s Benefits .

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