Top Tech Jobs & Startup Jobs

Manage and expand enterprise client accounts through relationship building, strategic account planning, renewals, onboarding, retention, upselling, and cross-selling. Serve as a trusted advisor and escalation point, monitor client satisfaction metrics, coordinate with internal teams, and support billing and collections. Represent the company at networking events, host client events, build community engagement, and collaborate with marketing on testimonials, case studies, and thought leadership.

Develop and maintain reliable Android and cross-platform software while diagnosing complex production issues through logs, telemetry, and root-cause analysis. Build AI-enabled log analysis, incident triage, RAG workflows, and automation to reduce debugging effort and MTTR. Implement and validate fixes through CI/CD pipelines, identify recurring defects, and improve system reliability in collaboration with engineering and operations teams.

Administer, secure, monitor, patch, and troubleshoot enterprise Linux environments while providing Tier 2/3 infrastructure support. Support Windows Server, VMware, OpenShift, Kubernetes, containerized applications, enterprise applications, and security hardening. Collaborate with development, DevOps, infrastructure, and security teams, document procedures, resolve vendor issues, and participate in weekly on-call rotation with travel to other locations as required.

Designs and builds Snowflake-based enterprise analytics solutions for banking data. Responsibilities include modeling Jack Henry core banking data using Kimball dimensional methods, developing tested and documented dbt pipelines, integrating third-party feeds and API payloads, and optimizing Snowflake performance, security, and query execution. The role also involves JSON transformation, collaboration with Python developers, GitHub version control, and data quality automation in hybrid Linux and Azure environments.

Embed with client teams to rapidly prototype and iterate AI/agent solutions, own PoC-to-production handoff, troubleshoot integrations across APIs and data sources, bridge delivery and client engineering teams, and feed field learnings into reusable accelerators and playbooks.