TECHNICAL MANAGER

Full Stack Engineering | Cloud | Data Platforms | AI & Analytics

Organization: Prayoga

Experience: 5-8 years

Role: Full-time

About the role

We are seeking a hands-on Technical Manager to lead a skilled engineering team and build secure, scalable and cost-conscious technology platforms that support meaningful education and research programs. The role combines full-stack development, architecture, data engineering, cloud operations, analytics and practical AI adoption.

Key roles and responsibilities

Engineering leadership and full-stack delivery

Lead and mentor developers; own technical planning, solution design, code reviews, delivery quality and production readiness while remaining actively involved in development.

Build reliable web applications and APIs using a modern stack such as React/Next.js, Python/Django or

Node.js, PostgreSQL and related technologies.

¢ Apply sound engineering practices across CI/CD, automated testing, documentation, performance,

maintainability, monitoring and incident resolution.

Data collection, integration and architecture

¢ Design flexible and secure data collection systems for surveys, field observations, assessments and research workflows, including configurable forms and validation.

¢ Model and process structured, semi-structured and unstructured data such as JSON, documents, images and video; support data quality, access control and auditability.

¢ Integrate multiple applications and datasets into a trustworthy unified view, with efficient ingestion,

transformation, APIs and reporting-ready data models.

Cloud, security and operational efficiency

¢ Design, deploy and operate cloud workloads, preferably on AWS, using EC2,



RDS/PostgreSQL, S3, IAM,

VPC, Lambda and relevant AI/ML services.

¢ Build with security and privacy by design: least-privilege permissions, encryption, secrets management,

backup/recovery, logging and reliable operations.

¢ Optimize infrastructure, storage and application performance for scalability, availability and sustainable cost.

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KEY RESPONSIBILITIES (CONTINUED)

AI, automation and analytics

¢ Identify helpful AI opportunities; prototype and integrate LLM-based features with prompt engineering, tool calling, MCP, reusable agent skills and agentic workflows.

¢ Apply appropriate AI safeguards, human oversight, evaluation, access controls and usage/cost monitoring;

understand RAG and knowledge retrieval concepts.

¢ Build management dashboards, KPI reports and decision-support analytics that turn program and operational data into actionable insights.

Enterprise systems and stakeholder partnership

¢ Work with the Zoho ecosystem (such as Zoho One, CRM, Creator and Analytics) and integrate services using APIs, webhooks and secure authentication.

¢ Partner with academic, research, field and management teams to translate real-world needs into simple,

sustainable products and prioritized roadmaps.

Required qualifications and capabilities





¢ 5-8 years of relevant software engineering experience, with demonstrated hands-on full-stack delivery and experience guiding engineers or owning technical workstreams.

¢ Strong fundamentals in application architecture, relational database design, SQL/PostgreSQL, REST APIs,

security, performance and debugging.

¢ Practical AWS or equivalent cloud experience, with understanding of infrastructure, deployment, IAM,

networking, monitoring and cost controls.

¢ Experience with data collection tools, integration pipelines, data models and dashboards or analytics solutions.

¢ Working knowledge of generative AI, prompt engineering, MCP and agentic AI; ability to learn and assess evolving technologies.

¢ Clear communication, stakeholder engagement, technical judgment and a robust sense of ownership.

Preferred experience

¢ Zoho product integrations; configurable survey/form builders; JSONB, media storage or offline-first data capture.

¢ Exposure to education, research, nonprofit or social-impact environments; experience with field teams and program monitoring.

¢ AI workflow orchestration, RAG, cloud AI services, business intelligence tools and data privacy practices.

What success looks like at Prayoga

Build one-of-a-kind, high-impact education and research technology solutions that help

Prayoga deliver programs creating measurable, lasting differences in teaching and learning.

Success also means a capable engineering team, reliable and reusable platforms, trusted unified data,

better management decisions, and responsible use of cloud and AI resources.

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📌 Technical Manager (Bengaluru)
🏢 Prayoga Institute of Education Research
📍 Bengaluru