Production Support Engineer
April 11
Airflow
Apache
AWS
Cassandra
Cloud
Docker
ElasticSearch
Hadoop
Kafka
Kubernetes
MySQL
NoSQL
PHP
PySpark
Python
Redis
Unix
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Description
• Prioritize and take ownership of Production support issues • Investigate, code and maintain web-scale data gathering, processing and delivery systems • Assist TechOps mitigate legacy systems and reduce tech debts • Document findings • Creative problem solving to necessarily complex systems • Work autonomously & across teams to achieve good customer outcomes • Research and employ cutting edge techniques & technologies • Provide code reviews, design feedback, demos, technical requirements & documentation • Scope work and provide accurate estimates for reliable delivery • Accelerate engineering productivity, reduce operational toil, increase consistency, and improve the lives of your coworkers every day
Requirements
• Full stack experience: 2+ years • Professional development experience using various Python versions (2.7, 3.4, 3.5, 3.6, 3.X): 3+ years • Other similar high-level languages considered as equivalent experience for this requirement on a case-by-case • Cloud infrastructure experience in AWS, Docker, and Kubernetes: 2+ years • Web-scale data engineering experience using technologies like MySQL, NoSQL, Hive, Hadoop, ElasticSearch, Cassandra, Redis, PySpark: 3+ years • Linux/Unix experience: 3+ years • Positive, customer-centric attitude • High Initiative • History of productivity, contributing value to the business • Attention to detail & high-quality results • Excellent written & verbal communication skills • Ability to coordinate across varied teams and departments • Believe in and practice DevOps philosophy • Excited about the security space! • Bachelor's degree or higher in Computer Science/related field or equivalent experience • Experienced in software services (SOA) troubleshooting • Production build and release management experience • Experience in Data Pipelines such as Kafka, NATS, or Apache Airflow • Experience with serverless technology such as Amazon Lambda or Google Compute Engine
Benefits
• Location: Remote within the Philippines • Working Hours: 8 AM - 4 PM Pacific • Compensation: 200,000 - 220,000 PHP / month
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