aKube, Inc.
Senior Software Engineer - Big Data, Backend & Data Engineering
aKube, Inc., San Francisco, California, United States, 94199
Job Description
City:
San Francisco (preferred), Seattle, WA or Los Angeles
Onsite/ Hybrid/ Remote:
Hyrbid (3-4 days a week)
Duration : 12 months
Rate Range : Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
Strong programming experience in
Scala
(primary), plus
Java
or
Python HTML5, CSS3, JavaScript (ES6+)/TypeScript React Next.js 3+ years of big data development (Spark, Hive, SingleStore, Airflow, AWS) Strong knowledge of system/application design and architecture Experience building highly available, scalable backend services Proven ability to process large-scale datasets (petabyte-level) Responsibilities:
Develop and enhance components of a large-scale data platform for batch and real-time processing Contribute to both backend services and data engineering pipelines, working across components as needed Build next-generation cloud-based big data infrastructure for batch and streaming applications Ensure scalability, performance, and maintainability through sound architectural design Collaborate closely with researchers and ML engineers to productize advanced machine learning models for ad inventory forecasting Work with cross-functional teams including product managers, program managers, QA engineers, and researchers Follow best engineering practices including CI/CD, code reviews, automated testing, and use of design patterns Qualifications:
Bachelor's or Master's degree in Computer Science, Electronics Engineering, or related field 5+ years of professional programming experience in Java, Scala, Python (all three preferred) 3+ years of hands-on experience with big data tools such as Spark, Hive, SingleStore, Airflow, AWS Proven track record of building scalable, high-availability systems and services Experience working on complex systems with long-term maintainability. Strong communication and teamwork skills with the ability to work in a collaborative, fast-paced environment Preferred Qualifications:
Experience with cloud infrastructure tools (Terraform, Kubernetes, Spinnaker) Familiarity with monitoring/observability tools (Grafana, Datadog) Exposure to modern web frameworks (React.js, Vue.js, Angular) and web technologies (HTML, CSS, Webpack) Domain experience in digital advertising or ad inventory forecasting Nice to have: Tailwind CSS, shadcn/ui Experience contributing to a 01 frontend project (from concept to launch) is a plus.
San Francisco (preferred), Seattle, WA or Los Angeles
Onsite/ Hybrid/ Remote:
Hyrbid (3-4 days a week)
Duration : 12 months
Rate Range : Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization : GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
Strong programming experience in
Scala
(primary), plus
Java
or
Python HTML5, CSS3, JavaScript (ES6+)/TypeScript React Next.js 3+ years of big data development (Spark, Hive, SingleStore, Airflow, AWS) Strong knowledge of system/application design and architecture Experience building highly available, scalable backend services Proven ability to process large-scale datasets (petabyte-level) Responsibilities:
Develop and enhance components of a large-scale data platform for batch and real-time processing Contribute to both backend services and data engineering pipelines, working across components as needed Build next-generation cloud-based big data infrastructure for batch and streaming applications Ensure scalability, performance, and maintainability through sound architectural design Collaborate closely with researchers and ML engineers to productize advanced machine learning models for ad inventory forecasting Work with cross-functional teams including product managers, program managers, QA engineers, and researchers Follow best engineering practices including CI/CD, code reviews, automated testing, and use of design patterns Qualifications:
Bachelor's or Master's degree in Computer Science, Electronics Engineering, or related field 5+ years of professional programming experience in Java, Scala, Python (all three preferred) 3+ years of hands-on experience with big data tools such as Spark, Hive, SingleStore, Airflow, AWS Proven track record of building scalable, high-availability systems and services Experience working on complex systems with long-term maintainability. Strong communication and teamwork skills with the ability to work in a collaborative, fast-paced environment Preferred Qualifications:
Experience with cloud infrastructure tools (Terraform, Kubernetes, Spinnaker) Familiarity with monitoring/observability tools (Grafana, Datadog) Exposure to modern web frameworks (React.js, Vue.js, Angular) and web technologies (HTML, CSS, Webpack) Domain experience in digital advertising or ad inventory forecasting Nice to have: Tailwind CSS, shadcn/ui Experience contributing to a 01 frontend project (from concept to launch) is a plus.