Software Development Engineer 2

Boon (by Swajal) builds IoT-enabled drinking-water systems used by leading hotels, offices, and communities. Our “UltraOsmosis™ + WaterAI™” stack monitors water quality in real time, powers predictive maintenance, and enables plastic-free hydration at scale.

SDE II (Backend)

• Own services end-to-end:

  design docs, implementation, tests, IaC, and production rollout.

• IoT data plane:

  MQTT topics & policies, device registry/shadows, OTA update flows, secure provisioning.

• Data pipelines:

  high-volume ingestion → storage → query (time-series + metadata).

• APIs & integrations:

  build/maintain internal & public APIs for apps, dashboards, partner integrations.

• Reliability & scale:

  SLOs, error budgets, autoscaling, back-pressure, dead-lettering, retries.

• Security & compliance:

  least-privilege IAM, secrets, audit logging, encryption in transit/at rest.

• Observability:

  logs/metrics/traces, runbooks, dashboards, on-call participation.

• Quality:

  code reviews, unit/contract/integration tests, CI/CD, performance profiling.

• Tech leadership:

  break down work, align stakeholders, mentor SDE-I/interns.

• AWS IoT Core

  , Device Registry/Shadow,

  API Gateway

  ,

  Lambda

  ,

  ECS/Fargate

  or

  EKS

  ,

  S3

  ,

  DynamoDB

  ,

  Timestream

  (or TimescaleDB/Influx),

  Kinesis/SQS/SNS

  ,

  CloudWatch

  ,

  Cognito

  ,

  IAM

  .

• Protocols:

  MQTT, HTTP; familiarity with Modbus/LoRaWAN is a plus.

• Languages:

  TypeScript/Node.js or Python/Go; SQL/no-SQL data modeling.

• Infra:

  Terraform/CDK, GitHub Actions, containerization.

• Obs:

  OpenTelemetry, Grafana/CloudWatch.

• 3–6 years’ backend experience, with

  at least 2 years on AWS

  in production.
• Built and operated

  event-driven

  or

  time-series

  systems handling high-volume telemetry.
• Strong in

  API design

  ,

  data modeling

  , and

  distributed systems fundamentals

  (idempotency, deduplication, retries, ordering, consistency).
• Hands-on with

  AWS IoT Core + MQTT

  (policies, certificates, shadows) OR equivalent IoT platform.
• Proficient with

  DynamoDB/Timestream (or similar)

  , stream processing (Kinesis/SQS/Kafka), and

  IaC

  .
• Solid testing discipline and CI/CD; can debug complex issues across services.
• Clear communication, product sensibility, and the ability to lead 1–2 engineers on a workstream.

• OTA update pipelines, device provisioning at factory, PKI/cert management.
• Edge computing patterns, offline sync, back-pressure at gateways.
• Experience with Grafana/Loki/Tempo, Prometheus, or CloudWatch X-Ray.
• Security reviews/threat modeling for IoT fleets.
• Exposure to

  Next.js/React

  (for internal tools) is a bonus.

• Telemetry pipeline v2:

  Kinesis → Lambda → Timestream with partition strategy, TTLs, and cost guards.

• Device shadow service:

  unify configs/alerts across WaterCube/Refill SKUs; safe rollout guards.

• Fleet OTA:

  signed firmware/artifact hosting, staged rollouts, automatic rollback on failure signals.

• Partner API:

  rate-limited, token-scoped endpoints for enterprise customers; audit trails & webhooks.

• Uptime & latency SLOs met; clear runbooks and dashboards.
• Cost per device and data retention within targets.
• Safe releases with automated rollbacks; low MTTR on incidents.
• Developer experience: faster CI, better tests, fewer regressions.
• Mentorship: peers learn from your reviews and docs.

• Mission with tangible impact: clean water, less plastic, happier guests.
• Ownership of meaningful systems at real-world scale.
• Pragmatic engineering culture: clarity, outcomes, and craftsmanship.