DevOps Support Senior Analyst

The aim of the role is to proactively prevent and resolve issues and to provide reactive support in a mission critical type environment. The ideal candidate will possess a broad skillset covering application support with some exposure to scripting, automation, release management, systems administration and Oracle databases. The role is most suited to candidates willing to embrace a demanding and varied but balanced and flexible work pattern, which would include covering on-site shifts, participating in the 24x7 on-call rota and supporting weekend testing according to project requirements. In addition to the above a large part of the role is project based, including playing a key part in on-boarding new applications, upgrading existing systems and implementing the integration into the operations architecture toolset. Key Responsibilities

• Provide Level 2 technical advice and risk assessment based on knowledge of applications, databases and system software
• Ensure that all operational responsibilities are performed including monitoring systems and deploying releases
• Provide effective escalation and resolution of issues and problems to stakeholders
• Gain an in depth knowledge of the unit’s processes
• Act as the operations SME for one or more of the supported applications
• Take ownership of operational live service issues and drive their resolution in order to reduce the number of recurring technical issues
• Manage the implementation of change without adverse impact to continuity of service, adhering to existing change policy and processes, liaising with other business and technical teams
• Ensure changes are correctly impact assessed and implemented
• Train level 1 team to perform an adequate level of triage for application issues
• Write and maintain support documentation, service models, incident management processes, technical specifications and user guides.
• Collaborate with other IT teams across the organisation in order to create common standards
• Proactively identify operational risks. Provide short term solutions whilst tracking long term resolution.
• Identify and implement operational improvements for processes, performance and reliability
• For any supported interfaces develop an understanding of how they all interact
• On-board new applications and integrate them into the operations architecture
• Provide impacts and implement the necessary changes to the operations architecture toolset
• Work closely with project teams to ensure operational requirements are met and changes impacted and implemented
• Provide input for change planning
• Provide input to architectural design for network, infrastructure, database and applications
• Support development changes, providing accurate estimates for time and capital costs, attending project meetings and analysing impact for proposed project work and meeting deadlines
• Develop an understanding of procedures and SLAs for supported services.
• Invoke level 3 support requests, manage their progression and provide input from an operational perspective
• Aid business representatives to write clear requirements for any new processes or software changes and provide designs in order to meet those requirements.

• 5+ years of experience in enterprise DevOps
• Strong background in Linux
• Strong coding/scripting experience (BASH/Shell)
• Experience with configuring and using a CI/CD tool such as Jenkins
• Experience with provisioning and configuration management using Bitbucket, Ansible, Terraform or equivalent
• Git source control using Bitbucket or equivalent
• Experience with AWS - AWS API, EC2, S3, RDS, Lambda, Route53, VPC, CloudFront, CloudWatch, CloudTrail, IAM, ADFS, ElastiCache, Microservices, Elastic Beanstalk.
• Experience with Hadoop Eco system or AWS Elastic MapReduce service and other ETL related AWS services such as AWS Glue, Athena, QuickSight, Lake Formation and SageMaker.
• Experience handling large volumes of structured and unstructured data in terms of storage choices such as S3, RedShift, S3 Glacier and efficient data formats such as Parquet and ORC.
• Experience with Amazon Kinesis data streaming services and real-time data analysis tools such as Spark Streaming and Kinesis Data Analytics.
• Experience with security best practices for data at rest and data in-transit using AWS tools such as SSE-KMS, security policies, cryptographic protocols.
• Excellent verbal and written communication skills
• Proven ability to share information and work individually or as part of a team to solve problems
• Understating of computer networks and underlying protocols
• Pro-active approach to learning about and adapting to new technologies.