Provide technical support for customer big data platforms and production environments, lead and support software installation, upgrades, and maintenance activities remotely and on customer sites, develop and maintain installation automation tools, build and support CI/CD pipelines and monitoring capabilities, troubleshoot and resolve complex infrastructure and platform issues, participate in after-hours or weekend support activities during critical customer incidents.
Responsibilities
Provide technical support for customer big data platforms and production environments.
Lead and support software installation, upgrades, and maintenance activities remotely and on customer sites.
Develop and maintain installation automation tools, deployment scripts, and infrastructure solutions.
Build and support CI/CD pipelines and monitoring capabilities for big data environments.
Troubleshoot and resolve complex infrastructure and platform issues.
Principal Software Engineer responsible for designing, developing, and maintaining cloud-based applications and services within Oracle Cloud Infrastructure.
Responsibilities
Design and develop microservices and frontend features
Lead technical architecture and code reviews
Implement CI/CD pipelines and testing frameworks
Collaborate with product, design, and support teams
Troubleshoot and resolve complex application issues
The bonus for this position is $10,000, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral.
Responsibilities
Develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements.
Directly contributes to all stages of back-end processing, analyzing, and indexing.
Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, distributed Computing, Information Retrieval (IR), and Object Oriented Design.
Works individually or as part of a team.
Reviews and tests software components for adherence to the design requirements and documents test results.
Requirements
Bachelor's degree in Computer Science or related discipline from an accredited college or university
Develop and deliver scalable transformation frameworks across Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities.
Responsibilities
Design, develop, and maintain scalable data pipelines within the Enterprise Data Lake platform using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.
Develop high-performance batch and near real-time data ingestion frameworks for onboarding enterprise source systems into the Data Lake.
Develop complex transformation logic using Spark, HiveQL, SQL, and Java-based processing frameworks.
Design and implement data ingestion patterns supporting structured, semi-structured, and unstructured datasets.
Build and maintain batch and near real-time data integration solutions.
Ability to understand complex problem and do quick PoCs by using the JS libraries available for solving the problem at hand and convincing the stakeholders about the rationale.
Helping and mentoring the team to make them productive
Assessing the quality of work produced by the team
Design and develop large‑scale backend systems for PayPay’s payment platform, leveraging AI tools and modern cloud technologies.
Compensation
Annual salary paid in 12 installments (monthly)
Based on skills, experience, and abilities
Reviewed once a year
Late overtime allowance
※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you
Responsibilities
Design large‑scale systems with high complexity to support high throughput applications
Understand how to leverage infrastructure for solving large‑scale problems
Develop tools and contribute to open source wherever possible
Adopt problem solving as a way of life – always go to root cause! Support the code you write in production
Leverage AI/LLM‑based tools for code development, reviews, testing, and documentation in daily workflows
Requirements
Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development
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