Software Engineer - Cost Monitoring Automation (Python, SQL, Cloud Platforms)

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

About the Client:

Join one of the Fortune 500 leaders in the pharmaceutical industry that is looking innovate and expand our technological capabilities. The person would join a product team working on their self-service company-wide platform that enables all the teams and business units to deploy their AI solutions, making them accessible across the entire company.

We are looking for a Software Engineer to design and implement a cost monitoring solution across multiple platforms. The ideal candidate has strong experience in Python and SQL, as well as hands-on familiarity with programmatic cost extraction and automation across cloud tools like AWS, Databricks, Snowflake, and more.

• Build automations to extract cost and usage data from various tools and platforms including AWS (Bedrock, Lambda, Sagemaker), Databricks, EKS, DataIKU, and Snowflake.
• Design and implement logic to aggregate and consolidate cost data across sources for unified reporting.
• Develop monitoring and alerting pipelines to track anomalies and ensure cost thresholds are enforced.
• Work with AWS Step Functions, Lambda, and API Gateway to orchestrate and expose cost monitoring workflows.
• Collaborate with data and platform teams to validate accuracy and consistency of extracted and computed cost data.

• 6+ years of experience in software enigneering
• Strong programming skills in Python and solid SQL experience for data querying and transformation.
• Proven ability to automate cost reporting or monitoring tasks using APIs or cloud-native tools.
• Detail-oriented with strong analytical skills – able to validate and troubleshoot financial metrics.
• Hands-on experience with AWS Step Functions, Lambda, and API Gateway.
• Experience extracting cost data from at least one of the following: AWS, Databricks, EKS, DataIKU, Snowflake.

Preferred Qualifications:

• Familiarity with FinOps practices and cost optimization strategies.
• Experience in building dashboards or reports for cost visualization.

• Knowledge of tagging strategies and chargeback models in multi-tenant cloud environments.