Senior Engineer – Platform & Data Infrastructure

Ampd Energy

Senior platform engineer scaling Enernet’s telemetry, APIs, and data infrastructure for Ampd Energy’s emission-free battery systems. Improving reliability, latency, observability, and cost as the connected fleet expands.

Posted 8/5/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing high-throughput streaming and time-series data systems, with a strong focus on designing secure, low-latency APIs and optimizing telemetry data flows. Proficient in using AWS services and Kafka for scalable backend solutions while ensuring system stability and cost efficiency.

Highest-signal resume keywords

Kafka PartitioningTimescaleDBGraphQL API DesignAWS IoT CoreTypeScript

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KafkaSQLTime-Series DatabaseGraphQLREST APINode.jsNestJSTerraformGoECS

Soft Skills

Technical DocumentationIncident ManagementStakeholder CommunicationTechnical DirectionSystem Simplification

Tools & Technologies

GrafanaClickHouseInfluxDBAWSIoT Core

Industry Keywords

Telemetry DataStreaming DataProduction SystemsCost OptimizationLatency Reduction

Tech Stack

Tools & technologies

AWSGoGoogle Cloud PlatformGrafanaGraphQLIoTJavaScriptKafkaNode.jsSQLTerraformTypeScriptVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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