JOB DESCRIPTION
Join our dynamic team to innovate and refine technology operations, impacting the core of our business services.
As a Technology Support Lead in the Technology Support team, you will play a leadership role in ensuring the operational stability, availability, and performance of our production services.
Job Responsibilities
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Own end-to-end production support for mission-critical applications and platform components supporting treasury/trading/risk/data/reporting workflows
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Lead major incident (P1/P2) response: triage, decisioning, restoration, communications, and post-incident review
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Drive problem management and stability engineering by setting standards for RCA quality and timeliness
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Define prevention roadmaps, track actions to closure, and reduce repeat incidents while improving MTTR/MTBF
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Apply an SRE approach: identify operational toil, prioritize automation, and deliver measurable reduction in manual effort and failure rates
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Build and enforce governance across production operations (runbook standards, operational readiness reviews, change governance, control/evidence routines)
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Provide KPI/MIS reporting on incidents, availability, batch health, and risk themes
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Strengthen observability and monitoring across applications and data pipelines (define SLOs/SLIs, alerting standards, improve signal-to-noise, dashboards, proactive detection)
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Lead batch and data operations governance across AutoSys, Airflow, and data platforms including Databricks/DataLake/ETL
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Partner with engineering/platform teams to improve resiliency (capacity, performance, HA/DR, error budgets where applicable)
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Coach and lead a support team (where applicable) and act as a senior stakeholder interface for business, technology, and control partners with clear executive-level communication
Required Qualifications, Capabilities, and Skills
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8+ years of experience in production/application support and/or SRE/operations for mission-critical platforms in banking/financial services (mandatory), including leadership accountability
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Demonstrated SRE mindset and execution with proven toil identification and elimination
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Proven delivery of automation and operational simplification
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Strong governance and controls ownership (audit-ready)
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Strong hands-on technical depth in Linux and SQL
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Automation skills in Python and shell scripting
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Scheduling/orchestration experience with AutoSys and Airflow
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Cloud/platform experience with AWS, Kubernetes, and cloud technologies
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Data platform experience with Databricks, DataLake, and ETL
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Observability experience with Grafana, Dynatrace, Splunk, and OpenTelemetry
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Strong incident/problem/change management expertise, including operating under ambiguity and time pressure, plus experience with SLOs/reliability dashboards/alert tuning, DR testing, resiliency reviews, operational risk assessments, and senior stakeholder communication/reporting
Preferred Qualifications, Capabilities, and Skills
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Experience with containerized microservices, service meshes, and event-driven architectures.
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