Senior Software Engineer at bmlltech

Description

BMLL, a leader in providing harmonized historical data and analytics across various financial instruments, is seeking a Senior Software Engineer. This role involves designing and implementing new features for core SaaS products like BMLL Lab & Vantage, focusing on scalable microservices and adopting modern AI agent tools. The successful candidate will collaborate with a team of Python & TypeScript engineers, work closely with the SaaS Product Owner, and contribute to cloud operations, mentorship, and ensuring quality excellence.

Required Skills

Python REST APIs
distributed microservices
Core AWS services (Cognito, Lambda, Fargate, API Gateway, S3, IAM)
Infrastructure as Code via Terraform
IAM least-privilege patterns
CloudWatch Logs for observability
PostgreSQL for relational data modelling, query optimization
AI engineering tools (Claude, GitHub Copilot, Cursor, LLM APIs, or automated agent workflows)
fast-paced agile environment
take ownership of engineering tasks end-to-end, drive progress without close supervision, and influence technical decisions constructively within a team
supporting colleagues' growth — comfortable giving constructive feedback in code reviews, explaining technical decisions clearly, and helping less experienced engineers develop good habits and confidence, without needing a formal leadership title to do so.
working in fast-moving, ambiguous environments, with a tendency to reduce complexity and work towards clear, practical decisions.
Strong communication skills with the ability to work effectively across engineering and product stakeholders, asking the right questions and keeping work aligned to outcomes.

Additional Information

Preferred Qualifications: Experience in data science and financial data visualization applications, particularly using TypeScript to build complex data interfaces.
Exposure to high-performance SaaS applications in front-office capital markets or data-intensive financial environments.
Experience with additional AWS services such as SQS, SNS, Step Functions, EventBridge, or Secrets Manager to support event-driven, resilient architectures.
Familiarity with high-scale data tools such as DuckDB, pandas, Spark, Databricks, or Snowflake.
Some exposure to semantic search, vector databases, or LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Understanding of continuous delivery practices and experience optimizing local-to-cloud development environments.
Proficiency in TypeScript for building data science interfaces and financial data visualisations

About bmlltech

bmlltech

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Senior Software Engineer at bmlltech

Description

Required Skills

Additional Information

About bmlltech

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