Job DescriptionAre you excited to work with innovative security products?Do you relish the prospect of working with cutting-edge network security systems?Join our Data Intelligene Team!Our data intelligence team builds the data platform that meters and bills Akamai Cloud compute. We turn raw usage from compute instances, GPUs, storage, networking and AI inference into accurate/auditable billing data that customers/finance teams trust.
Partner with the bestYou will join the Netstats Engineering team, which runs the large-scale usage and billing pipelines behind Akamai's products. In this hands-on engineering role, you will design pipelines, write production code, and own the correctness of data, directly driving revenue.
As a Senior Software Engineer, you will be responsible for:
- Designing, building and operating batch and streaming pipelines that ingest usage events from Akamai Cloud compute services at high volume
- Building metering/rating logic:aggregate raw usage into billable units(instance hours, GPU hours, data transfer, storage, inference tokens) and apply rate cards/contract terms
- Developing/maintaining a data lakehouse (open table formats on object storage) as the source of truth for usage and billing data
- Orchestrating workflows with Apache Airflow, including backfills, late-arriving data, retries and SLA monitoring
- Writing production-grade Python and Spark or Flink jobs, packaged and deployed with Docker
- Building reconciliation/data-quality checks so every billed unit traces back to its source usage, with audit trails finance can rely on
- Writing clean, tested, well-documented code; review others' work and raise the team's engineering standards
Do what you loveTo be successful in this role you will:
- Have 6+ years of software/data engineering experience, with a Bachelor's degree in Computer Science or a related field (or equivalent experience)
- Demonstrate great programming skills in Python; ideally experience in Java or Scala
- Have hands-on experience building large-scale pipelines with a modern data framework such as Apache Spark or Apache Flink
- Have production experience orchestrating pipelines with Apache Airflow
- Possess deep SQL experience: complex joins, window functions, query tuning, and data modeling for analytics
- Have experience building or running a data lakehouse (e.g., Delta Lake, Apache Iceberg or Apache Hudi on object storage)
- Have experience with at least one public cloud (AWS, GCP, Azure )
CompensationAkamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.
