Senior Software Engineer, Stream Processing & Analytics

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Posted: 2 days ago
Freshness: Confirmed live yesterday

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Similar $183k

$118k most similar roles pay here $247k

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TL;DR · Senior Software Engineer, Stream Processing & Analytics

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Confluent -Senior Software Engineer - Stream Processing & Analytics serves as a technical leader within the Stream Governance team, focusing on critical backend systems for the data streaming platform. You will design, architect, and develop cloud-native, multi-tenant services including Confluent Schema Registry, Data Contracts, and Policies to ensure data quality and integrity. The role involves managing mission-critical services with high availability across multiple regions and clouds while mentoring engineers through code and design reviews. Key technical requirements include proficiency in Java, Go, C/C++, or Python, along with expertise in distributed systems, event-driven architectures, and large-scale data pipelines. You will utilize tools such as Docker and Kubernetes within AWS, GCP, or Azure environments. The work addresses the challenge of providing a robust platform for real-time data by enforcing intelligent rules across every stream.

What does a Software Engineer earn?

Median $196000 from 2121 postings across 148 companies.

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Skills

Apache Kafka Microservices Docker Kubernetes AWS GCP Azure Java Go Python C++ Apache Flink Distributed Systems Event-Driven Architecture Cloud-Native Data Pipelines System Design

What you'll do

Architect and develop cloud-native, multi-tenant backend services for the Stream Governance platform.
Lead the end-to-end design and implementation of complex microservices in a distributed environment.
Manage mission-critical services with 99.99% availability across multiple global cloud regions.
Make high-level architecture decisions balancing reliability, scalability, performance, and operability.
Provide technical leadership by mentoring engineers through code reviews and design evaluations.
Drive project lifecycles from initial requirements and design through production rollout.
Evaluate and improve the platform's technology stack using modern industry best practices.
Partner with cross-functional stakeholders to define and execute the product roadmap.

What we're looking for

Bachelor's Degree or equivalent practical experience required.
Master's Degree (preferred).
8+ years of industry experience designing, building, scaling, and operating backend systems in production.
Deep proficiency in a major backend language like Java, Go, C/C++, or Python with strong fundamentals in data structures and algorithms.
Hands-on experience with distributed systems, event-driven architectures, and large-scale data pipelines.
Experience operating production services in public cloud environments (AWS, GCP, or Azure) using Docker and Kubernetes.
Proven track record of technical leadership, including mentoring teams and influencing architecture decisions.
Familiarity with data streaming technologies such as Apache Kafka or Apache Flink (preferred).

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