Sr Software Engineer - Kubernetes

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.

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.