Principal Software Engineer

Job description

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 .

Responsibilities

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.

Qualifications

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