About The Team :

We are building our next-generation Data Enrichment Platform and we need a heavy hitter to help us scale.

We aren't just moving data; we are building the real-time engine that powers our business.

As a core member of our engineering team, you will architect high-throughput pipelines, solve complex latency challenges, and define the standards for a robust "Lakehouse" architecture.

If you obsess over JVM internals, distributed consistency, and Exactly-Once semantics, this is the role for you.

How You'll Make An Impact :

Architect at Scale :

- Lead the design of distributed streaming architectures using Kafka Streams, Spark, and Flink.

- You will build the roadmap for our transition to a robust Lakehouse architecture.

Performance Tuning :

- Dive deep into the system to identify bottlenecks.

- You will own the stability of pipelines processing massive events per second, solving for data integrity and low latency.

Quality by Design :

- Set the engineering standard.

- You will drive a culture of reliability through robust monitoring (Datadog/Prometheus), observability, and automated testing frameworks.

Modernization :

- Proactively identify opportunities to refactor and modernize the platform for maximum efficiency and cost-effectiveness.

The Must Have Skills :

- 8+ years of software engineering experience, with at least 5 years of deep production expertise in Scala or Java (concurrency, memory management, GC tuning).

- Deep JVM knowledge required.

- Streaming Expert: 5+ years hands-on with the Kafka ecosystem.

- You understand offsets, partitions, rebalancing, and state stores intimately.

- Apache Kafka, Kafka Streams, Kafka Connect, Flink, Spark.

Data Architect :

- You have a proven track record of designing systems that remain resilient under heavy load.

- You understand the trade-offs between consistency models and storage formats.

AWS Native :

- Mastery of the AWS ecosystem (handling TBs of data) is second nature to you.

- AWS (MSK, EMR, Athena, Lambda), Terraform, Kubernetes.

Why Youll Love Working with Us?:

Work with cutting-edge technology in a collaborative, global team.

Competitive salary + good benefits (insurance, annual leave, bonuses, referral rewards, and more).

Were Great Place to Work Certified (4 years in a row!).

Hybrid work model (3 days in office Prestige Tech Pacific).

Interview Process:

Tech Round 1: Coding interview with our team.

Tech Round 2: System design discussion.

Hiring Manager Meeting: Team, values & culture check.

Final Round: Chat with HR/Senior Leadership.

If this sounds like you, lets talk.