Sr Software Engineer - Kubernetes

Job description

We are looking for a Senior Software Engineer with strong full-stack expertise — someone who can build rich, responsive frontends, design and scale robust backend services, develop and operate distributed systems in production. You will work across the entire stack, from customer-facing experiences to the high-throughput services and pipelines that power them, and increasingly build AI-driven capabilities and agents into the products you own — from design through production operation.

What you get to do in this role

Design, build, and operate full-stack capabilities spanning backend services,frontend experiences and data pipelines. Build and scale backend services in Java and Python, designing clean, well-documented REST APIs with a focus on reliability and performance. Deploy, scale, and troubleshoot services on Kubernetes. Develop and operate distributed, high-throughput systems for ingestion, streaming, and storage, including Kafka-based streaming pipelines and ClickHouse-backed data stores.

Develop performant, reusable frontend components using ReactJS or Angular with modern JavaScript/TypeScript. Design and integrate AI-powered features and agentic workflows into products — applying LLMs, retrieval, and agent frameworks to solve real customer problems. Partner with product management, design, and peer engineering teams to take features from concept to production. Own quality end to end — instrumentation, observability, testing, and performance at scale.

Participate in design and code reviews and help raise the technical bar across the team.

Qualifications

To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 6+ years of professional software engineering experience building and operating production systems.

Backend proficiency in both Java and Python, with hands-on experience designing and building REST APIs. Hands-on experience with Kubernetes and containerization (Docker), including deploying and operating services in production.

Desired frontend skills

ReactJS or Angular, JavaScript/TypeScript, and solid HTML/CSS fundamentals. Demonstrated experience designing distributed systems — scalability, fault tolerance, and messaging/streaming (e.g., Kafka). Hands-on experience or strong working knowledge of AI/ML — building with LLMs, AI agents, MCP or agentic frameworks, and applying them in production or product contexts. Working knowledge of data stores and pipelines, including streaming systems such as Kafka; experience with analytical databases such as ClickHouse is a plus.

Familiarity with CI/CD and cloud-native development practices. A degree in Computer Science or a related field, or equivalent practical experience. Strong communication and collaboration skills, with a bias toward ownership and action.