Senior Software Engineer, Stream Processing & Analytics

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Posted: 3 days ago
Freshness: Confirmed live yesterday

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Similar $183k

$117k 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 backend engineering team, overseeing critical systems that power the data streaming platform. You will lead the design and implementation of complex, large-scale distributed services in a cloud-native, microservices-based environment while making key architecture decisions regarding reliability, scalability, and performance. Day-to-day responsibilities include driving projects from requirements through production rollout, mentoring other engineers, and improving service observability. The role requires proficiency in Java, Go, C/C++, or Python, along with experience in distributed systems, high-throughput services, and data pipelines. You will utilize tools like Docker and Kubernetes across public clouds such as AWS, GCP, or Azure. Essential skills include SQL and NoSQL database management, CI/CD pipeline integration, and expertise in building secure, highly available backend infrastructure for data streaming.

What does a Software Engineer earn?

Median $196000 from 2121 postings across 148 companies.

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Skills

Java Go C++ Python Distributed Systems Microservices AWS GCP Azure Docker Kubernetes SQL NoSQL CI/CD Agile Observability Data Modeling System Design

What you'll do

Design and implement complex backend services within a cloud-native, microservices-based environment.
Make architectural decisions that balance reliability, scalability, performance, and operability across different regions and clouds.
Manage projects end-to-end from initial requirements and design through implementation and production rollout.
Improve service reliability by defining SLOs/SLAs and strengthening observability and telemetry systems.
Define APIs, integration points, and data models to ensure platform consistency and evolvability.
Drive engineering productivity by developing tools, automation, and improved internal processes.
Mentor other engineers through code reviews, design reviews, and technical guidance.

What we're looking for

Bachelor's degree required; Master's degree preferred.
5+ years of industry experience building, scaling, and operating backend systems in production.
Proficiency in a major backend language like Java, Go, C/C++, or Python with strong fundamentals in data structures and algorithms.
Experience with distributed systems including event-driven architectures, high-throughput services, and large-scale data pipelines.
Experience running services in public clouds (AWS, GCP, or Azure) using containers and orchestration tools like Docker and Kubernetes.
Proficiency in working with SQL and/or NoSQL databases, including data modeling and performance optimization.
Proven track record of technical leadership, including architecture decisions, project ownership, and mentoring other engineers.
Experience with observability (metrics, logging, tracing), CI/CD pipelines, and Agile methodologies (preferred).

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