Application Support Engineer

No visa restrictions


1st interview is a conversation with manager and then an in office for round 2. Depending on schedules there might be a 3rd virtual round if needed


LOCAL ONLY

Title: Application Support Engineer


Location: Boston MA


Onsite Requirements: Hybrid - onsite 1x per week


Start: ASAP


Duration: 6 months
• Shift begins at 5:30 AM, ensuring coverage into later hours
• On-call rotations, including weekends, are a frequent requirement, flexibility is essential

Top skills:

• SQL
• ETL
• Linux
• Orchestration tools like Control M
• Production/Application Support

Key Responsibilities:
• Experience supporting ETL pipelines and data loaders, including troubleshooting, job monitoring, and data flow validation


• Expertise in SQL for complex querying, and data integrity validation across datasets
• Monitor, support, and troubleshoot production applications to ensure high availability and performance
• Use Control-M and other orchestration tools to monitor and manage workflow processes effectively
• Operate and manage integrations using the Snaplogic platform (low code/no code) as part of day-to-day operations
• Work with ServiceNow or similar ticketing systems to track incidents, requests, and changes
• Manage and follow change management workflows for safe and compliant release deployments
• Write and troubleshoot SQL queries to identify and resolve data-related issues
• Utilize Linux to investigate application and system-level issues
• Apply knowledge of Terraform in AWS cloud environments for infrastructure as code
• Collaborate with development teams to implement and optimize modern observability platforms such as Grafana, Prometheus, or DataDog for application monitoring and alerting
• Frequently participate in an on-call rotation, including weekends, to resolve production issues promptly

Skills You Bring:
• Strong experience with SQL for querying and troubleshooting data-related problems


• Expertise in SQL for complex querying, performance tuning, and data integrity validation across datasets
• Experience with Control-M or similar orchestration tools to monitor workflows
• Proficiency in Linux for command-line operations and log analysis
• Familiarity with ServiceNow or equivalent ticketing systems
• Proficiency in Git for version control and collaboration
• Hands-on experience with Jenkins pipeline configuration and management
• Knowledge of Terraform and AWS cloud infrastructure
• Expertise in monitoring and observability tools such as Grafana, Prometheus, or DataDog
• Understanding of financial services applications and terminology (preferred)
• Familiarity with Snaplogic or similar low code/no code integration platforms
• Experience supporting ETL pipelines and data loaders, including troubleshooting, job monitoring, and data flow validation
• Strong analytical and problem-solving skills with the ability to work under pressure
• Excellent verbal and written communication skills for interacting with stakeholders at all levels

Schedule and Flexibility
• Shift begins at 5:30 AM, ensuring coverage into later hours
• On-call rotations, including weekends, are a frequent requirement, flexibility is essential