Technical Manager

TECHNICAL MANAGER
Full Stack Engineering | Cloud | Data Platforms | AI & Analytics
Organization: Prayoga
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Experience: 5-8 years
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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 useful 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 strong 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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