Technology Support [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

13d•Onsite

About The Position

This role is responsible for resolving all user and technology issues. The Technology Support professional will support and maintain various Linux and Java RDBMS based applications on a cloud platform. Key responsibilities include monitoring and troubleshooting batch jobs scheduled in Control-M and Autosys, coordinating and executing software deployments into the production environment, and liaising with application development and infrastructure teams for ongoing development, production activity, and release management. The position also involves managing major production incidents, working with other technology teams to resolve business-impacting issues, and proactively improving system and service quality to increase business value. Applying DevOps practices throughout the software development life cycle and building, evolving, and operating rapidly changing resilient systems at scale are essential. The role also requires managing the relationship between operational users and the technology department through service review meetings and serving as a key point of escalation for technology issues or concerns within operational areas.

Requirements

Developing and maintaining Python applications for data manipulation, web scraping, and API integration using Pandas, BeautifulSoup, Requests, SQLAlchemy, Pymssql, PyODBC, Logging, Subprocess, JSON, OS, SYS, and NumPy libraries
Debugging and optimizing Python code and analyzing complex problems and automating workflow solutions using Python
Shell scripting for automation and ETL
Integrating Shell scripts with SQL databases and command-line tools for query execution and database management
Troubleshooting and tuning SQL queries on MSSQL, Oracle PLSQL, Cassandra, and Snowflake
Observability utilizing AWS CloudWatch for system monitoring, logging, alerting, and dashboard configuration
Designing and implementing monitoring solutions using ITRS Geneos
Datadog for alerting, notification systems, and threshold configuration
Splunk for security monitoring, log management, and analysis
Grafana and Dynatrace for system performance analysis and optimization
Designing and implementing recovery strategies to maintain data integrity and availability during system failures
Building microservices architectures with Python, Shell scripting, and SQL
Implementing secure file transfer protocols and ensuring compliance with EDI transactions and translations
Using AWS EC2, S3, REDIS, Lambda, SQS, Kafka, Spark ETL, Neo4j, Aurora RDS services and EKS for instance selection, configuration, and deployment
Implementing container orchestration and management using AWS EKS
Facilitating the deployment, scaling, and operation of containerized applications in Kubernetes
Developing secure web applications and RESTful APIs with Python frameworks Flask or Django with secure service communication
Configuring and maintaining CI/CD pipelines with Argo Scheduler
Automating deployment of Java-based application software changes
Conducting performance analysis and tuning using monitoring tools to identify bottlenecks and implementing solutions
Operating large-scale distributed systems and microservices for compliance and security best practices in cloud environments
Researching stock market indices, portfolio analytics, and PnL reporting

Responsibilities

Resolution of all user and technology issues.
Support and maintain various Linux and Java RDBMS based applications on cloud platform.
Monitor and troubleshoot batch jobs that are scheduled in Control-M and Autosys.
Coordinate and execute all software deployments into the production environment.
Liaise with application development and infrastructure teams for ongoing development, production activity and release management.
Maintain responsibility for major production incidents and work closely with other technology teams to resolve business-impacting issues.
Proactively improve the quality of systems and services and increase business value.
Apply DevOps practices to the entire software development life cycle and build, evolve, and operate rapidly changing resilient systems at scale.
Manage the relationship between the operational users and the technology department through service review meetings and serving as a key point of escalation for technology issues or concerns within the operational areas.