Senior Engineer – Platform & Data Infrastructure

🕒 August 5

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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Logo of Ampd Energy

Ampd Energy

51 - 200 employees

⚡ Energy

🏗️ Construction

🔧 Hardware

💰 $8M Debt Financing on 2023-03

Energy • Construction • Hardware

Ampd Energy is a company dedicated to providing emission-free power solutions for industrial applications, particularly in environments where traditional diesel power is impractical or undesirable. They have developed the Ampd Enertainer, an advanced battery energy storage system aimed at replacing diesel generators on construction sites. The Enertainer significantly reduces harmful emissions and noise pollution and is easier, safer, and more cost-effective to operate. Ampd Energy's systems are connected and monitored remotely, ensuring reliability and efficiency. Their products are trusted by leading construction and real estate companies worldwide, aligning with the industry's shift toward electrification and sustainability.

📋 Description

• Own the telemetry data flow from AWS IoT Core and Kafka into TimescaleDB, including legacy GCP Pub/Sub, with accountability for throughput, correctness, latency, cost, stability, and scalability • Evolve the GraphQL contract and design secure, low-latency GraphQL and REST APIs for web and mobile clients • Reduce infrastructure and observability cost per device, cut latency, and eliminate throughput bottlenecks as the fleet grows • Implement Kafka partitioning, consumer groups, batched writes, backpressure, and hot-path isolation • Use Grafana to identify slow queries, monitor the pipeline, and maintain proactive alerts • Safely evolve the live system through staged reversible changes, parallel runs, shadow validation, and rollback • Review frontend and mobile work and trace issues across Vue charts, Timescale queries, and Kafka consumers • Stabilize and cost-optimize the telemetry path while maintaining latency and throughput targets • Extend APIs for new product features without regressing latency or breaking clients • Act as a senior voice in incident response and reduce support load • Collaborate with firmware, service, and commercial colleagues to turn telemetry into reliable tooling

🎯 Requirements

• 5–10 years building and operating production backend systems, including meaningful experience with high-throughput streaming or time-series data • Deep practical knowledge of Kafka partitioning, consumer groups, rebalancing, ordering, idempotency, and schema evolution • Strong SQL and time-series database skills, including TimescaleDB, ClickHouse, InfluxDB, or equivalent • Experience designing secure, low-latency GraphQL and REST APIs for web and mobile clients • Experience migrating a live system without downtime using parallel writes, shadow validation, staged cutover, and rollback • Fluency in TypeScript and Node.js; experience with NestJS services • Production AWS experience, including ECS, IoT Core, networking, and Terraform/IaC • Ability to become productive in Go quickly; prior Go experience is a plus, not a requirement • Ability to write clear technical documentation • First-hand experience managing live systems during production incidents • Ability to explain systems precisely and concisely to technical and non-technical stakeholders • Ability to set technical direction, conduct rigorous reviews, and improve engineering practices • Ability to simplify systems and work through legacy technical debt

🏖️ Benefits

• Competitive benefits • Strong opportunities for professional growth • Collaborative, multinational work environment

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