aKube, Inc.
Senior Software Engineer -Data Platform (Ad Intelligence)
aKube, Inc., Santa Monica, California, United States, 90403
Job DescriptionLocation: Santa Monica CA
Onsite/ Hybrid/ Remote:
Onsite, 4 days a week
Duration: 18 months
Rate Range:
$ 103/hr on
W2
depending on experience (no C2C or 1099 or sub-contract)
Work Authorization:
GC, USC, All valid EADs except H1b
Must Have:
Primary skillsets looking for(In the order of importance from left to right):
Primary/Relevant Work experience: Software Engineering with Big Data ExperiencePrimary Languages: Scala, Java, PythonPrimary Technologies: Spark, SpringBootPrimary Ecosystems: AWS, HadoopBasic Qualifications:
4+ years of professional programming in Java, Scala, Python, and etc.3+ years of big data development experience with technical stacks like Spark, Flink,Singlestore, Kafka, Nifi and AWS big data technologiesKnowledge of system, application design and architectureExperience of building industry level high available and scalable servicePassion about technologies, and openness to interdisciplinary workResponsibilites:
Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needsBuild next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availabilityContribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated testChip in ground-breaking innovation and apply the state-of-the-art technologiesAs a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environmentNICE-TO-HAVES:
Experience with processing large amount of data at petabyte levelDemonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)
Onsite/ Hybrid/ Remote:
Onsite, 4 days a week
Duration: 18 months
Rate Range:
$ 103/hr on
W2
depending on experience (no C2C or 1099 or sub-contract)
Work Authorization:
GC, USC, All valid EADs except H1b
Must Have:
Primary skillsets looking for(In the order of importance from left to right):
Primary/Relevant Work experience: Software Engineering with Big Data ExperiencePrimary Languages: Scala, Java, PythonPrimary Technologies: Spark, SpringBootPrimary Ecosystems: AWS, HadoopBasic Qualifications:
4+ years of professional programming in Java, Scala, Python, and etc.3+ years of big data development experience with technical stacks like Spark, Flink,Singlestore, Kafka, Nifi and AWS big data technologiesKnowledge of system, application design and architectureExperience of building industry level high available and scalable servicePassion about technologies, and openness to interdisciplinary workResponsibilites:
Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needsBuild next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availabilityContribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated testChip in ground-breaking innovation and apply the state-of-the-art technologiesAs a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing.Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environmentNICE-TO-HAVES:
Experience with processing large amount of data at petabyte levelDemonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.Experience with ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc.Experience in widely used Web frameworks (SpringBoot, React.js, Vue.js, Angular, etc.)