Product Engineer

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Infinite Lambda

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔌 API

💳 Fintech

API • Data & Analytics • Fintech

Infinite Lambda is a tech consultancy that specializes in modern data platforms, cloud transformation, and data analytics. They provide solutions that enable businesses to achieve technological independence by migrating from traditional data warehouses to advanced, AI-enabled data platforms. With expertise in various industries, including banking, life sciences, and retail, Infinite Lambda guides organizations through digital transformation, offering training and in-housing support to ensure sustainable tech practices.

📋 Description

• Implements across the stack: backend, frontend, the IDE extension, and conversion logic, in Python or whichever languages we adopt. • Ships features against the spec using agents as the default implementation tool, and writes the spec themselves for simpler, well-bounded features (with Cristiano's review). • Becomes a modernisation specialist: deep working knowledge of how Informatica, SSIS, Talend and IICS objects map onto dbt, Fivetran and the warehouse. • Demonstrates real, working understanding of the code they merge. Reads it, challenges it, and can explain every line. • Writes failing tests from the spec's acceptance criteria first. No test, no PR. • Logs every agent failure mode into the team's prompt and skill backlog.

🎯 Requirements

• 1 to 5 years of software engineering experience, or a strong portfolio of self-directed projects. • Day-to-day use of at least one agentic coding tool (Claude Code, Cursor, or equivalent), not occasional use. • Able to write and read code across the stack, primarily in Python, including frontend work and an IDE extension. • SQL and a working grasp of data transformation concepts. Exposure to dbt, Fivetran, Snowflake, or Databricks is useful but not required. • Demonstrated ability to catch wrong agent output. A specific example of an agent failure you found and corrected is required at interview. • A degree in Computer Science, Engineering, or a related field is preferred, or equivalent practical experience.

🏖️ Benefits

• We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture; • You work autonomously here in a wholesome environment and get as much paid holiday as you need; • The projects are diverse and give you plenty of opportunity to experiment with new tech; • The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.