

Software Developer Assistant
LearnWise AI
- Manila, PhilippinesManila, Metro Manila, PhilippinesManilaMetro ManilaPhilippinesPhilippinesTELECOMMUTE
- Full timeFULL_TIME
Posted a day ago and deadline of application is on 31 Aug
Recruiter was hiring a day ago
2025-08-22T07:58:58.855452+00:002025-08-31T22:00:00+00:00Job Description
Software Developer Assistant - Engineering, Python, Data Ops
Join our EdTech scale up – a place where the best ideas win, innovation is constant, and growth is in our DNA.
We’re seeking a skilled Software Developer Assistant with strong technical and data operations experience to support our engineering and product teams. This is a remote role, working directly with our CTO and Head of AI on projects that impact higher education worldwide.
Department: Engineering
Reports to: Head of AI
Works closely with: CTO, Engineering, and Product Team
About us
We are a fast-growing, VC-backed company modernizing higher education through AI-powered assistants that improve student engagement, streamline instructor workflows, and strengthen institutional support services.
We’re looking for a proactive and detail-oriented Software Developer Assistant who can bridge engineering execution and operational excellence. You’ll work closely with leadership to implement monitoring, dashboards, and lightweight engineering improvements — with the freedom to bring your own ideas and solutions to life.
What You’ll Do
Observability & Monitoring
- Design and manage an observability stack that correlates logs, metrics, and system events.
- Implement structured logging in Python and build pipelines for aggregation and analysis.
- Maintain monitoring tools such as Grafana, CloudWatch, Loki, and Elasticsearch, while experimenting with Datadog.
Dashboards & Business Intelligence
- Expand and refine business and cost monitoring dashboards.
- Create BI dashboards (Metabase, Superset, or similar) that track user behavior, product usage, and infrastructure costs.
- Integrate multiple data sources (including MongoDB) to deliver actionable insights.
Engineering Support
- Improve and maintain CI/CD pipelines (GitHub Actions) for deployments to AWS and Vercel.
- Make targeted improvements in our Python codebase (monitoring hooks, logging improvements, and data collection integrations).
- Support the team in embedding observability and monitoring best practices across workflows.
Collaboration & Strategy
- Contribute ideas during engineering discussions and provide technical input.
- Work directly with the Head of AI and CTO on strategic projects.
- Document processes, share learnings, and help improve overall product performance.
What’s in It for You?
- Competitive compensation in a long-term remote role.
- Direct mentorship from senior leadership (CTO, Head of AI).
- Work with a global team on cutting-edge AI applications.
- Flexible working arrangements (results > hours).
Minimum Qualifications
Core Skills
- 3–5 years of experience in a software development, DevOps, or technical assistant role.
- Strong proficiency in Python.
- Solid experience working with MongoDB (queries, data structuring, optimization).
- Strong English communication skills (written and spoken).
Monitoring & Observability
- Experience with AI observability tools (e.g. LangSmith).
- Familiarity with CI/CD (GitHub Actions), AWS deployments, and error tracking (e.g. Sentry).
- Self-driven, resourceful, and passionate about applying technology to improve higher education.
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Dashboards & BI
Nice to Have
- Hands-on experience with structured logging and log aggregation pipelines.
- Familiarity with monitoring/observability tools (Grafana, CloudWatch, Loki, Elasticsearch, Datadog).
- Ability to design observability systems that connect logs, metrics, and server statistics
- Skilled at creating dashboards for business data, usage, and cost monitoring.
- Experience with Grafana and ideally at least one BI tool (Metabase, Superset, or similar).
Perks and Benefits
Work from Home
Jobs Summary
- Job Level
- Associate / Supervisor
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Office Address
- Manila, Metro Manila, Philippines
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