Advanced Software Engineer

Job Description

Build and operate distributed search ingestion pipelines using Elasticsearch, including index lifecycle management (ILM), shard capacity planning, and rollover policies at scale across large workspace environments.

Build and maintain message-based consumer services for high-volume document ingestion with robust failure handling, retry policies, and observability.

Partner with architects and tech leads to implement cloud-native solutions on Azure using containerization technologies such as Docker and Kubernetes along with modern CI/CD workflows.

Drive reliability improvements, including pre-flight capacity checks, error classification, and automated recovery from cluster-level failures.

Contribute to team quality through pair programming, code reviews, and clear technical documentation.

Champion automated testing, static analysis, observability, and DevOps practices to ensure performance and reliability.

Collaborate with senior engineers and architects in design sessions and elevate team engineering practices.

Use AI-assisted coding tools to accelerate development and reduce boilerplate work.

Build tools and automation to streamline workflows across engineering disciplines.

Collaborate with product managers and engineers to deliver high-quality features.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field OR equivalent experience
• 3+ years of experience in software engineering with a focus on distributed systems
• Proficiency in programming languages such as C#, Java, or Python
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies
• Strong understanding of software design principles and performance optimization
• Able to work collaboratively in a team environment and communicate effectively

Preferred Experience

• With Elasticsearch, including index templates, ILM policies, bulk API, shard management, and cluster capacity planning
• Familiarity with message-based or event streaming platforms for building high-throughput, reliable data pipelines
• Experience with big data technologies such as Spark
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of observability tools and best practices for system reliability

Why We Could Be a Great Fit

• Impactful Mission
• Engineering at Scale
• Cutting-Edge Technology
• Growth and Ownership
• Collaborative Culture
• Inclusive Environment

Compensation and Benefits

• Competitive salary, benefits, DTO, parental leave, and equity program
• The expected salary range for this role is between $103,000 and $155,000