Job Description

As a Site Reliability Engineering (SRE), the candidate will be responsible for working within CCB Model Delivery as a Service - Production Support team and work closely with application development teams, business groups, multiple technology teams within the global technology, and senior stack holders within the firm to ensure smooth and resilient operations.

CCB Risk Model Delivery as a Service (MDAS) team helps modelers during the model development phase and then implement their models to strategic batch and real-time deployment platforms. As a Site Reliability Engineering (SRE), the candidate will be responsible for working within CCB Model Delivery as a Service - Production Support team and work closely with application development teams, business groups, multiple technology teams within the global technology, and senior stack holders within the firm to ensure smooth and resilient operations.

Apart from working on and supporting the models in production he/she will be responsible for Tech modernization, Business BAU and controls. As a Site Reliability Engineering member you'll be building and maintaining a meaningful engineering discipline, combining software and systems to develop creative engineering solutions to operations problems. Additional focuses on optimizing existing systems, building infrastructure, and reducing work through automation.

Responsibilities:

• Work on incident mgmt. through problem diagnostics and resolution and facilitate blameless post-mortems and ensure permanent closure of incidents
• Engage with development team throughout the life cycle to help develop software for reliability and scale, ensuring minimal refactoring or changes
• Identify application patterns and analytics in support of better service level objectives
• Design self-healing and resiliency patterns
• Design automated software and product upgrades, change management, and release management solutions
• Own the overall customer experience and sustainability of a product and application
• Primary operational support for assigned database environments, as well as backup support for other environments
• Responsible for database and system performance, including database monitoring, problem analysis, and tuning activities to ensure optimum database performance
• Debugging high priority issues on mission critical production environments
• Evaluating existing clusters and provide recommendations on best practices
• Providing performance and forecast reports on health to help ensure the infrastructure has adequate capacity
• Work with application development groups and system administrators to determine the best storage, access, and distribution methods for data
• Participate as a project team member providing vital information regarding database tools, structure, physical design and implementation

Skills & Qualifications:

• Bachelor's degree with 8+years or equivalent experience in an software engineering discipline and/or site reliability engineering
• 5+ years of experience in Datastax Cassandra (primary)
• Strong experience in one of the following languages: Hadoop, Spark, Java J2EE technology stack, Python and shell scripting (Unix/Linux)
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Kubernetes, AWS, Elastic search, Grafana, Kibana, etc.
• Intermediate knowledge on Cassandra Data Modeling.
• In-depth knowledge on Cluster Maintenance Cluster Setup.
• In-Depth knowledge Consistency levels Node down issues.
• In-Depth knowledge on troubleshooting (Read Write Latency Issues).
• Intermediate knowledge on Scripting (Shell/Python).
• Strong knowledge on tombstone repair Compaction issues.
• Basic knowledge on Spark
• Experience in Developing monitoring tools and log analysis tools to manage operations, working with infrastructure service teams to ensure application service uptime, and Developing and managing operations leveraging key event streaming, messaging and DB services such as Cassandra, MQ/JMS/Kafka,Hadoop , etc.
• Working knowledge of infrastructure components (e.g. cloud products, container systems, compute, storage, networks, cluster computing etc.)
• Excellent debugging and trouble shooting skills
• Hands-on experience of incident management and proficient with monitoring tools.
• Experience in banking / financial services / modelling and machine learning is preferred

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.