
Software Development Engineer 2
2 weeks ago
About Boon
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.
The Role
We're hiring an
SDE II (Backend)
to own and scale our IoT backend: secure device connectivity, telemetry ingestion, time-series data pipelines, APIs for apps/dashboards, and reliability at thousands of edge devices. You'll design services, write production code, lead small projects end-to-end, and mentor junior engineers.
What you'll do
- 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.
Our stack (experience with analogous tech is fine)
- 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:
or Python/Go; SQL/no-SQL data modeling. - Infra:
Terraform/CDK, GitHub Actions, containerization. - Obs:
OpenTelemetry, Grafana/CloudWatch.
Must-have qualifications
- 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.
Nice-to-have
- 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
(for internal tools) is a bonus.
Example projects you might own in your first 90 days
- 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.
How we measure success
- 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.
Why Boon
- 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.
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