: Observability Platform architecture, OpenTelemetry,Java/J2EE, SaaS Platform, Kafka, Kubernetes ,AI observability,

Position : Observability Platform architecture, OpenTelemetry,Java/J2EE, SaaS Platform, Kafka, Kubernetes ,AI observability, : Only USA

Location : USA -Remote : candidates to work with the India team (time zone)

Type of Job : Contract : 12 Months

Experience : 15+ Years

Job description as per new update

Strongly align with hands-on observability platform architecture, OpenTelemetry, distributed SaaS platforms, large-scale telemetry pipelines, and platform-building experience?

stronger in the implementation and delivery of observability solutions rather than in architecting and building large-scale observability platforms.

Please focus on sourcing candidates with strong hands-on experience in the following areas:

Observability Platform Architecture

OpenTelemetry (OTEL) and observability platforms

Telemetry ingestion and processing pipelines

Java / Spring Boot microservices

Distributed, multi-tenant SaaS platforms

Kafka, streaming architectures, and event-driven systems

Kubernetes, cloud-native architectures, and platform engineering

AI observability, monitoring, tracing, governance, and auditability

Please set the expectation with the candidate that they will be working closely with the India-based development team. As a result, they will be required to maintain approximately 3 4 hours of overlap with the India team each day to support effective collaboration and communication.

Must-haves:

- Hands-on OpenTelemetry OTel Collector and OTTL, plus normalizing telemetry to OTel semantic conventions

- Strong Java + Spring / Spring Boot microservices (built in production)

- Multi-tenant, distributed SaaS platform engineering

- Building scalable observability platforms with large-scale log processing and deriving inference

- Deep streaming / data-pipeline work Kafka + Kinesis / Event Hub / PubSub; Flink / Kafka Streams; data warehousing and analytics

- Multi-cloud ingestion CloudTrail, Azure Monitor, Google Cloud Platform Audit Logs, Splunk, Sentinel, API logs

- Detection engine/service (rules + ML anomaly detection), analytics for usage patterns and risk scoring, real-time alerting, immutable audit logging, and DLQ / replay pipelines

Nice-to-haves:

- Kubernetes and Infrastructure as Code

The strongest profiles lead with what they've built shipping an observability or telemetry platform to production rather than SIEM operations or security governance. That's the filter that best separates fit from near-fit here.