Senior Software Engineer

ABOUT PLAYPOWER LABS PlayPower Labs builds software for leading EdTech companies that serve millions of learners. We help our clients solve hard product and engineering problems so they can deliver better learner experiences through advanced technology, thoughtful design, and reliable execution. We’ve been fully remote since before COVID and plan to stay remote. We are US-based, with a development center in Gandhinagar, India. WHAT WE BELIEVE - We believe technology is a force multiplier for education.

• Great software can make learning more engaging, effective, personalized, and accessible for millions of learners worldwide. The future of education will be shaped by advanced online learning, AI, and education data, and we want to help build that future.
• Education data combined with AI is opening up new ways to create adaptive, personalized learning experiences.

• Think security-first: auth, permissions, input validation, secrets, dependencies, OWASP risks, and safe AI usage.
• Own work end to end: UI, APIs, data flows, testing, releases, and fixes.
• Build interfaces that feel clean, fast, and intuitive, not just technically correct.
• Use AI tools, coding agents, MCPs, and automation to move faster.
• Experiment with workflows for coding, debugging, refactoring, testing, documentation, and code review.
• Connect AI tools to real systems through MCPs, APIs, internal tools, and automations.
• Review both human-written and AI-generated code with sharp judgment.
• Bring energy, ideas, and momentum to a small team building real product.

• Good with TypeScript/JavaScript, APIs, databases, Git, and modern web apps.
• Strong sense of UI/UX and care about how the product feels, not just how the code works.
• Fluent with modern AI dev tools and willing to keep experimenting as the tooling evolves.
• Experience or strong interest in AI agents, MCP servers, tool calling, and AI-assisted workflows.
• Able to guide AI, write solid prompts, validate output, and avoid leaking sensitive data.
• Solid understanding of OWASP basics, cloud security, Docker, CI/CD, and vulnerability scanning.
• Product-minded, security-aware, and comfortable moving without perfect instructions.
• Startup energy: ownership, speed, curiosity, and no “that’s not my job” attitude.

• You’ve used AI to improve testing, reviews, documentation, or dev velocity. WHAT WE OFFER Remote work, competitive pay, real ownership, space to experiment, and a small team that cares about building good products without corporate theater.

• Highlight concrete experience with scalable micro‑service architectures and cloud platforms (AWS/GCP/Azure) in your resume; include metrics (e.g., “Reduced API latency by 30 % on a 2 M+ user EdTech platform”) to demonstrate you can deliver the performance the company promises for millions of learners.
• Build a GitHub portfolio that showcases at least one end‑to‑end project involving AI/ML for education data (e.g., a recommendation engine or adaptive quiz generator). Include a README that explains the problem, your role, the tech stack, and the impact on learner outcomes—PlayPower Labs will look for this domain relevance.
• In your cover letter, reference PlayPower’s remote‑first culture by describing how you’ve collaborated across time zones (e.g., syncing with US teams via async PR reviews, daily stand‑ups, and documented hand‑offs) and mention any tools you master for remote work such as Slack, Jira, Confluence, and Miro.
• Prepare for the technical interview by brushing up on system design for high‑traffic EdTech services: be ready to diagram data pipelines that ingest clickstream data, discuss sharding strategies for learner profiles, and explain how you’d integrate an LLM‑based tutoring feature—these are core to the company’s AI‑driven roadmap.
• When negotiating compensation, research the Indian market for senior remote engineers (₹30‑40 LPA for similar roles) and factor in PlayPower’s US‑based salary bands, equity, and remote‑work allowances (internet stipend, ergonomic equipment). Cite your proven impact (e.g., cost savings, revenue uplift) to justify a package at the higher end of the range.