Cloud Data Stores Engineer - DevOps - Retail Engineering
Apple
Cloud Data Stores Engineer - DevOps - Retail Engineering
Job Description
Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming industry leading products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AOS team is responsible for delivering the e-commerce systems and solutions that enable and support the buying experience on apple.com. We build one of the slickest e-commerce site on planet while keeping Apple brand at the forefront in every aspect of the engineering. Our solutions are designed for global reach while keeping the regional nuances in mind. We use the latest in open source technologies in addition to building our own frameworks. The breadth of our engineering spans front-end technologies, middleware services, application servers, public cloud infrastructure (e.g. AWS along with other leading cloud providers) and various type of relational, NewSQL and NoSQL databases and sure to cater to anyone looking for a significant career in a highly transparent and rewarding environment. We are seeking a skilled Database Engineer in DevOps role, who is passionate about operational excellence through automation and engineering processes. As a DB DevOps Engineer, you will play a crucial role in ensuring the seamless integration of development and operations processes, to deliver best in class and highly available systems. The main responsibilities for this position include: Design, implement and maintain database systems, with a focus on RDBMS, noSQL and newSQL technologies (e.g. Oracle, Postgres, Cassandra, Couchbase, mongoDB, Aerospike, CockroachDB) Proficient in AWS services including data stores e.g. RDS Oracle, Aurora Postgres, AWS CloudFormation, EC2, EBS, S3, Route53, IAM, KMS Expand the capacity and performance of systems and data stores persistence layer Analyze and evaluate the DB technology options/feasibility and define the design, architecture, delivery, and deployment pipeline Provide leadership in implementing a secure, robust and highly available DevOps pipeline for data stores e.g. data refresh across environments, DB deployments Automate build & deployment processes for data stores Work closely with engineers, QA, project managers throughout the software lifecycle in optimally delivering outstanding, large scale systems Implement push button deployment at scale with zero downtime for infrastructure stack including Data stores
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing database systemsintermediate
- implementing database systemsintermediate
- maintaining database systemsintermediate
- RDBMSintermediate
- NoSQLintermediate
- NewSQLintermediate
- Oracleintermediate
- Postgresintermediate
- Cassandraintermediate
- Couchbaseintermediate
- MongoDBintermediate
- Aerospikeintermediate
- CockroachDBintermediate
- AWS servicesintermediate
- RDS Oracleintermediate
- Aurora Postgresintermediate
- AWS CloudFormationintermediate
- EC2intermediate
- EBSintermediate
- S3intermediate
- Route53intermediate
- IAMintermediate
- KMSintermediate
- expanding system capacityintermediate
- improving system performanceintermediate
- data stores persistence layerintermediate
- analyzing DB technology optionsintermediate
- evaluating DB feasibilityintermediate
- defining database designintermediate
- defining database architectureintermediate
- defining delivery pipelineintermediate
- defining deployment pipelineintermediate
- implementing DevOps pipelineintermediate
- data refresh across environmentsintermediate
- DB deploymentsintermediate
- automating build processesintermediate
- automating deployment processesintermediate
- collaborating with engineersintermediate
- collaborating with QAintermediate
- collaborating with project managersintermediate
- implementing push button deploymentintermediate
- zero downtime deploymentintermediate
- infrastructure stack managementintermediate
- operational excellenceintermediate
- automationintermediate
- engineering processesintermediate
- DevOpsintermediate
Required Qualifications
- BS degree in computer science or equivalent field with 5+ years experience (experience, 5 years)
- Successful track-record and proven expertise as a Data Store engineer having proficiency (experience)
- with Relational and NoSQL/NewSQL DB technologies (experience)
- Successful track-record and proven experience of leading projects from design/ (experience)
- architecture/build/release/deployment automation to production launch, along with (experience)
- Operations (experience)
- Good technical understanding of RDBMS and NoSQL data stores e.g. architecture, (experience)
- clusters management, data replication, conflict handling, query language, and (experience)
- performance (experience)
- Must have good oral/written communication skills and work in collaboration with cross (experience)
- functional teams and stakeholders (experience)
Preferred Qualifications
- Experience handling performance issues and tuning of data stores and database queries (experience)
- Understanding of database security concepts e.g. Certificates, SSL, TLS, mTLS, SQL (experience)
- injection, TCP/TCPS, (experience)
- Utilize AWS services for effective database management and optimization (experience)
- In-depth understanding go CloudWatch metrics e.g. CPU, IOPS, Read/Write latency, (experience)
- Read/Write throughput, (experience)
Responsibilities
- We are seeking a skilled Database Engineer in DevOps role, who is passionate about operational
- excellence through automation and engineering processes. As a DB DevOps Engineer, you will
- play a crucial role in ensuring the seamless integration of development and operations processes,
- to deliver best in class and highly available systems.
- The main responsibilities for this position include:
- Design, implement and maintain database systems, with a focus on RDBMS, noSQL and
- newSQL technologies (e.g. Oracle, Postgres, Cassandra, Couchbase, mongoDB,
- Aerospike, CockroachDB)
- Proficient in AWS services including data stores e.g. RDS Oracle, Aurora Postgres, AWS
- CloudFormation, EC2, EBS, S3, Route53, IAM, KMS
- Expand the capacity and performance of systems and data stores persistence layer
- Analyze and evaluate the DB technology options/feasibility and define the design,
- architecture, delivery, and deployment pipeline
- Provide leadership in implementing a secure, robust and highly available DevOps
- pipeline for data stores e.g. data refresh across environments, DB deployments
- Automate build & deployment processes for data stores
- Work closely with engineers, QA, project managers throughout the software lifecycle in
- optimally delivering outstanding, large scale systems
- Implement push button deployment at scale with zero downtime for infrastructure stack
- including Data stores
Tags & Categories
Answer 10 quick questions to check your fit for Cloud Data Stores Engineer - DevOps - Retail Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Cloud Data Stores Engineer - DevOps - Retail Engineering
Apple
Cloud Data Stores Engineer - DevOps - Retail Engineering
Job Description
Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming industry leading products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AOS team is responsible for delivering the e-commerce systems and solutions that enable and support the buying experience on apple.com. We build one of the slickest e-commerce site on planet while keeping Apple brand at the forefront in every aspect of the engineering. Our solutions are designed for global reach while keeping the regional nuances in mind. We use the latest in open source technologies in addition to building our own frameworks. The breadth of our engineering spans front-end technologies, middleware services, application servers, public cloud infrastructure (e.g. AWS along with other leading cloud providers) and various type of relational, NewSQL and NoSQL databases and sure to cater to anyone looking for a significant career in a highly transparent and rewarding environment. We are seeking a skilled Database Engineer in DevOps role, who is passionate about operational excellence through automation and engineering processes. As a DB DevOps Engineer, you will play a crucial role in ensuring the seamless integration of development and operations processes, to deliver best in class and highly available systems. The main responsibilities for this position include: Design, implement and maintain database systems, with a focus on RDBMS, noSQL and newSQL technologies (e.g. Oracle, Postgres, Cassandra, Couchbase, mongoDB, Aerospike, CockroachDB) Proficient in AWS services including data stores e.g. RDS Oracle, Aurora Postgres, AWS CloudFormation, EC2, EBS, S3, Route53, IAM, KMS Expand the capacity and performance of systems and data stores persistence layer Analyze and evaluate the DB technology options/feasibility and define the design, architecture, delivery, and deployment pipeline Provide leadership in implementing a secure, robust and highly available DevOps pipeline for data stores e.g. data refresh across environments, DB deployments Automate build & deployment processes for data stores Work closely with engineers, QA, project managers throughout the software lifecycle in optimally delivering outstanding, large scale systems Implement push button deployment at scale with zero downtime for infrastructure stack including Data stores
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing database systemsintermediate
- implementing database systemsintermediate
- maintaining database systemsintermediate
- RDBMSintermediate
- NoSQLintermediate
- NewSQLintermediate
- Oracleintermediate
- Postgresintermediate
- Cassandraintermediate
- Couchbaseintermediate
- MongoDBintermediate
- Aerospikeintermediate
- CockroachDBintermediate
- AWS servicesintermediate
- RDS Oracleintermediate
- Aurora Postgresintermediate
- AWS CloudFormationintermediate
- EC2intermediate
- EBSintermediate
- S3intermediate
- Route53intermediate
- IAMintermediate
- KMSintermediate
- expanding system capacityintermediate
- improving system performanceintermediate
- data stores persistence layerintermediate
- analyzing DB technology optionsintermediate
- evaluating DB feasibilityintermediate
- defining database designintermediate
- defining database architectureintermediate
- defining delivery pipelineintermediate
- defining deployment pipelineintermediate
- implementing DevOps pipelineintermediate
- data refresh across environmentsintermediate
- DB deploymentsintermediate
- automating build processesintermediate
- automating deployment processesintermediate
- collaborating with engineersintermediate
- collaborating with QAintermediate
- collaborating with project managersintermediate
- implementing push button deploymentintermediate
- zero downtime deploymentintermediate
- infrastructure stack managementintermediate
- operational excellenceintermediate
- automationintermediate
- engineering processesintermediate
- DevOpsintermediate
Required Qualifications
- BS degree in computer science or equivalent field with 5+ years experience (experience, 5 years)
- Successful track-record and proven expertise as a Data Store engineer having proficiency (experience)
- with Relational and NoSQL/NewSQL DB technologies (experience)
- Successful track-record and proven experience of leading projects from design/ (experience)
- architecture/build/release/deployment automation to production launch, along with (experience)
- Operations (experience)
- Good technical understanding of RDBMS and NoSQL data stores e.g. architecture, (experience)
- clusters management, data replication, conflict handling, query language, and (experience)
- performance (experience)
- Must have good oral/written communication skills and work in collaboration with cross (experience)
- functional teams and stakeholders (experience)
Preferred Qualifications
- Experience handling performance issues and tuning of data stores and database queries (experience)
- Understanding of database security concepts e.g. Certificates, SSL, TLS, mTLS, SQL (experience)
- injection, TCP/TCPS, (experience)
- Utilize AWS services for effective database management and optimization (experience)
- In-depth understanding go CloudWatch metrics e.g. CPU, IOPS, Read/Write latency, (experience)
- Read/Write throughput, (experience)
Responsibilities
- We are seeking a skilled Database Engineer in DevOps role, who is passionate about operational
- excellence through automation and engineering processes. As a DB DevOps Engineer, you will
- play a crucial role in ensuring the seamless integration of development and operations processes,
- to deliver best in class and highly available systems.
- The main responsibilities for this position include:
- Design, implement and maintain database systems, with a focus on RDBMS, noSQL and
- newSQL technologies (e.g. Oracle, Postgres, Cassandra, Couchbase, mongoDB,
- Aerospike, CockroachDB)
- Proficient in AWS services including data stores e.g. RDS Oracle, Aurora Postgres, AWS
- CloudFormation, EC2, EBS, S3, Route53, IAM, KMS
- Expand the capacity and performance of systems and data stores persistence layer
- Analyze and evaluate the DB technology options/feasibility and define the design,
- architecture, delivery, and deployment pipeline
- Provide leadership in implementing a secure, robust and highly available DevOps
- pipeline for data stores e.g. data refresh across environments, DB deployments
- Automate build & deployment processes for data stores
- Work closely with engineers, QA, project managers throughout the software lifecycle in
- optimally delivering outstanding, large scale systems
- Implement push button deployment at scale with zero downtime for infrastructure stack
- including Data stores
Tags & Categories
Answer 10 quick questions to check your fit for Cloud Data Stores Engineer - DevOps - Retail Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs