Principal Software Engineer

We are looking for a Principal Software Engineer to shape the architecture and delivery of our modern, AWS-native platform powering underwriting intelligence, GenAI-driven analysis, and high-volume content processing.

Working across Python, .NET, PostgreSQL/Aurora, OpenSearch, and LangGraph-based services, you will own technical direction, system quality, scalability, and reliability across the platform. This is a senior individual contributor role with significant technical leadership responsibility, including setting engineering standards, mentoring engineers, driving architectural decisions, and coordinating across product and platform teams.

• Shape platform architecture across ingestion, transformation, storage, APIs, and AI-powered services, ensuring scalability, resilience, and maintainability.
• Own end-to-end technical delivery of AWS Batch content pipelines, Lambda-based workflows, and .NET 8 REST/GraphQL APIs.
• Drive architecture decisions around Aurora PostgreSQL, graph-based data models, and OpenSearch to support GenAI retrieval and high-volume workloads.
• Define and champion engineering, data quality, testing, and observability standards across platforms including Pentaho, ThoughtSpot, CloudWatch, and Splunk.
• Partner with ML and Product Engineering teams to ensure LangGraph-based RAG pipelines have reliable, current, and well-structured data and service layers.
• Shape LLM evaluation and prompt data pipelines, including ground-truth and synthetic datasets for testing and model quality.
• Apply senior technical judgment to review and validate AI-assisted engineering output before production deployment.
• Lead architecture discussions through technical briefs, RFCs, design reviews, and documented trade-offs.
• Define testing, rollout, monitoring, and rollback strategies for critical platform changes.
• Lead production incident reviews and postmortems, driving actions that improve reliability and operational resilience.
• Establish and evolve engineering standards and best practices, reinforcing them through code reviews and practical examples.
• Mentor engineers on software architecture, data engineering, design patterns, and responsible AI-assisted development.
• Coordinate technical dependencies across product squads, ensuring clear interfaces, effective collaboration, and smooth delivery.
• Communicate technical decisions, risks, dependencies, and delivery impacts clearly to engineering and business stakeholders.
• Extensive software engineering experience, with a proven track record of building and operating production systems and data pipelines at scale.
• Strong software architecture and system design expertise, with experience making and documenting complex technical trade-offs.
• Advanced experience with .NET / C#, including production services and APIs using REST and GraphQL.
• Deep hands-on experience with AWS, including S3, Batch, Lambda, SNS, RDS/Aurora PostgreSQL, EKS, and CloudWatch.
• Strong SQL and PostgreSQL expertise, including schema design, query optimization, and graph-based data modelling.
• Experience designing distributed, scalable, and fault-tolerant systems, with robust observability, recovery, and rollback strategies.
• Strong troubleshooting skills across distributed services, using logs, metrics, and traces with tools such as Splunk and CloudWatch.
• Experience with CI/CD and Agile delivery, using tools such as Jenkins, GitHub Actions, or GitLab CI.
• Demonstrated technical leadership, including mentoring engineers, leading design reviews and RFCs, and coordinating across teams.
• Excellent written and verbal communication skills, with the ability to clearly explain complex technical decisions to technical and non-technical stakeholders.

Nice to have

• Python 3.10+ experience, including Pandas, BeautifulSoup, and XML/HTML processing.
• Hands-on experience with LangGraph, LangChain, or other LLM/agentic frameworks.
• Experience with OpenSearch or vector search technologies for RAG applications.

We offer

• The opportunity to shape the architecture of a modern, AWS-native platform with significant technical ownership.
• The chance to work with cutting-edge technologies across cloud, data engineering, GenAI, and AI-powered services.
• A collaborative environment where you can influence engineering standards, mentor engineers, and drive technical decisions.
• A hybrid work model with flexible working hours.
• Private health insurance, medical care, and a Multisport card.

#LI-AA1

#LI-Hybrid