Work Location(s): Parsippany, NJ, US
ADP’s DataCloud is searching for a hands-on Sr. DevOps Engineer to join our high-performance Big Data Platform DevOps team. The successful candidate will have a strong command of designing and implementing our CI/CD pipelines and Cloud initiatives, working side-by-side with our Architecture & Application Development teams. This is a senior position responsible for developing innovative, flexible and scalable solutions, driving the automation and adoption of DevOps processes both on premise and on the Cloud. The candidate is expected to have experience in operating and administering a big data platform.
We believe people make great companies, not the other way around. Our people make all the difference in delivering innovative HR technologies and solutions that help employees all over the world do their jobs better. The result? We’re building the next generation of ADP technologies.
Things You’ll Do:
- Collaborate with Application Architects, Developers, Data Scientists and System Engineers to capture functional and non-functional requirements
- Support the tools and technologies that are part of the Big Data Platform
- Be responsible for monitoring and executions of the data engineering workflows
- Design and implement extensions to our existing DevOps and CI/CD tools
- Design, implement and drive the adoption of containers (Docker, Kubernetes)
- Design, implement and drive the adoption of cloud solutions (AWS)
- Create new solutions in order to push the boundaries of our automation capabilities
- Generate proper designs, diagrams and documentation of the implemented solutions
- Provide technical leadership and coaching to other team members
- Use Agile methods (Scrum/Kanban) to organize project deliverables, to track and to report progress
- Support software operations, test and debug programs, both in Lab and Production environments
- 10+ years of experience with high performing IT projects
- 5+ years of hands-on experience delivering robust DevOps solutions
- Strong experience in maintaining Big Data technologies and infrastructure like EMR, Hadoop, Databricks, MPP databases, Snowflake, Kafka, Kinesis, Apache Airflow, Step Functions
- Expert in DevOps and CI/CD practices and tools (Jenkins, Ansible, Git, CloudFormation/Terraform, or similar)
- Strong experience with Configuration Management concepts tools and implementations (Chef, Puppet, BakerCM, or similar)
- Strong experience with application telemetry, monitoring and alerting solutions (Splunk, CloudWatch, Flowdock, or similar)
- Strong experience with Cloud solutions i.e. AWS (VPC, EC2, S3, ECS, EKS, Fargate, RDS)
- Strong experience with containers (Docker, Kubernetes)
- Strong programming skills in Python (or equivalent)
- Strong programming skills with Linux Schell scripts i.e. Bash or similar
- Strong Experience with networking (HTTP, HTTPS, Telnet, SSH, Firewall, VPN, Routing and Load Balancing)
- Strong Experience with Linux and open source software
- Programming skills on other languages i.e. Groovy, Java, PHP, NodeJs or others
- Experience with code-quality and automated testing (Sonar, Junit, Selenium or similar)
- Experience with markup languages (JSON, XML, YAML)
- Experience with API standards (REST, SOAP)
- Experience with SQL and NoSQL databases (Oracle, MongoDb, Redis)
- Good understanding of agile development
- Strong written and verbal communication skills
- Bachelor’s degree in Computer Science, Engineering or related discipline is desirable
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