Responsibilities
Lead customer workshops, technical discovery, architecture
discussions, and solution design.
Design and implement scalable platforms for cloud-native
applications, data platforms, infrastructure services, and AI
enabled workloads.
Lead cloud migration and cloud platform modernization
assessments, planning, architecture, execution, and transition
activities.
Design migration strategies, landing zones, modernization
roadmaps, workload waves, cutover plans, and operational
handoffs.
Build reusable platform patterns, automation, self-service
workflows, developer tooling, and golden paths.
Lead AI-accelerated development initiatives that integrate AI tools
into customer software development lifecycles, engineering
workflows, and delivery practices.
Drive organization-wide AI enablement for customers through
assessments, pilots, training, playbooks, governance, adoption
roadmaps, and measurement frameworks.
Use AI coding assistants and agentic development tools for
prototyping, coding, testing, debugging, refactoring, and
documentation.
Apply human review and engineering standards to validate AI
generated code and solutions.
Develop Infrastructure as Code, CI/CD pipelines, GitOps
workflows, and cloud automation.
Work with containers, Kubernetes, APIs, event-driven systems,
observability, security, and cloud-native architectures.
Understand LLM, RAG, agent, vector database, model API, and AI
application integration patterns.
Support platform security, governance, reliability, operational
readiness, and cost optimization.
Create reusable accelerators, technical documentation,
demonstrations, and reference architectures.
Mentor engineers and contribute to internal technical communities
and enablement.
Participate in proposals, estimates, technical presentations, and
pre-sales activities.
Required Qualifications Bachelor’s degree in Computer Science, Engineering, Information
Technology, or equivalent practical experience.
8+ years of professional IT experience.
4+ years of experience in cloud, platform engineering, DevOps,
automation, application modernization, or related areas.
Hands-on experience with AWS, Azure, and/or Google Cloud.
What Success Looks like
Customers receive secure, scalable, and reusable platform
solutions.
Customers successfully migrate and modernize workloads and
cloud platforms with clear transition and operational plans.
Engineering teams improve productivity through automation, self
service, and responsible AI-assisted development.
Platform capabilities support multiple workload types rather than
only AI workloads.
AI tools are used to accelerate delivery without compromising
quality, security, or maintainability.
The consultant builds strong customer relationships and
contributes reusable knowledge to the broader practice.
Why AHEAD
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include
Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
Paid time off and company holidays, along with additional leave benefits as per policy
Flexible work arrangements, supporting work-life balance
Learning and development opportunities to support continuous growth and upskilling
Employee wellness initiatives and programs focused on physical and mental well-being
Retirement and statutory benefits in line with India regulations
Inclusive and people-first culture, with a strong focus on collaboration and ownership