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Trade-Floor Tech Ops

Trade-Floor Tech Ops

Connvertex Technologies Inc.Portland, ME, United States
12 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Client Name : Akkodis

End Client Name : Wells Fargo

Job Title : Trade-Floor Tech Ops Citizen Only (#816515)

Location : Portland, ME; Boston, MA; Chicago, IL; San Francisco, CA

Work Type : Hybrid (1 3 days onsite / week)

Job Type : 12 18 Month+ Contract

Rate : $100 / hour on c2c / 1099

Notes : Must be a U.S. Citizen | Must have a LinkedIn Page | Must be able to speak Chinese

Must Have :

Domain knowledge of trading, brokerage operations, clearing, settlement, margin and risk - ideally familiarity with account lifecycle, order flow, P&L, books and records, reconciliations.

Strong analytical and troubleshooting skills - able to parse logs, trace flows across services, use debugging tools, query databases, interpret stack traces, and reverse-engineer behavior.

Working experience in distributed system architectures, microservices, messaging / queue systems, API integrations, databases, service dependencies.

Proficiency with SQL, familiarity with data modeling and ability to write diagnostic queries.

Must have a LinkedIn Page

Must be able to speak Chinse

Role Overview

As a Technical Operations Specialist, you will serve as the frontline investigator and troubleshooter for issues arising in our brokerage system - particularly in modules such as account opening, deposits & withdrawals, trading, risk control, and books & records. You will diagnose system problems, trace root causes, and provide clear reproducible evidence or workarounds before involving software engineering. You will act as a bridge between business operations and development, ensuring smooth, resilient operations and minimizing user disruption.

You will be expected to understand both the business domain (brokerage, trading, clearing) and technical architecture, to drive efficient incident resolution, continuous improvement, and operational resiliency.

As proficiency grows, the role may expand to more strategic responsibilities - automation, tooling, capacity planning, architecture reviews, operations design and bridging into product / engineering oversight roles.

Key Responsibilities

  • Lead and support all technical integration efforts with new clients and third-party system vendors, including API onboarding, connectivity testing, data mapping, and validation of message workflows (e.g., account opening, trading, clearing, market data, and reporting). Ensure all integrations are technically sound, compliant with internal standards, and well-documented for operational support.
  • Monitor, triage, and respond to operational alerts, system anomalies and incident events in brokerage systems (accounting, trading, risk, ledger, settlement).
  • Perform root-cause analysis and fault isolation for issues in account opening, deposits / withdrawals, order routing, trade execution, margin / risk modules, and books & records.
  • Reproduce issues in UAT environments and gather diagnostics (logs, traces, DB queries, message flows) to help isolate whether the fault lies in data, configuration, service, integration, or external dependencies.
  • Liaise with developers, QA, devops, and product teams, and provide detailed incident context (e.g. step-by-step reproduction, evidence, temporal correlation) to drive fast resolution.
  • Lead or contribute to post-incident reviews (postmortems), identify systemic gaps, propose and track mitigations or process improvement.
  • Create, maintain, and evolve runbooks, standard operating procedures (SOPs), troubleshooting guides, dashboards and metrics to increase resilience and reduce future incidents.
  • Participate in change review, deployment validation, and release readiness - validate that new builds or changes will not adversely impact core operations.
  • Provide root cause and status updates to operations leadership and stakeholders.
  • Escalate appropriately and coordinate cross-functional resolution when issue spans multiple domains or requires deeper engineering involvement.
  • Occasionally handle high priority customer escalations (internal or external) - triage, assist, and communicate clearly.
  • Stay current on domain knowledge (brokerage operations, clearing, regulatory constraints) and internal architecture.

Qualifications & Skills

Required / Core Skills

  • Domain knowledge of trading, brokerage operations, clearing, settlement, margin and risk - ideally familiarity with account lifecycle, order flow, P&L, books and records, reconciliations.
  • Strong analytical and troubleshooting skills - able to parse logs, trace flows across services, use debugging tools, query databases, interpret stack traces, and reverse-engineer behavior.
  • Working experience in distributed system architectures , microservices, messaging / queue systems, API integrations, databases, service dependencies.
  • Proficiency with SQL , familiarity with data modeling and ability to write diagnostic queries.
  • Comfortable working in Linux, shell scripting, command-line tools, and log analysis.
  • Some exposure to networking, middleware, messaging protocols (e.g., FIX, MQ, REST) is a plus.
  • Excellent communication skills - able to explain technical issues clearly to non-technical operations staff and management.
  • Ability to work under pressure , prioritize multiple active incidents, make timely decisions.
  • Strong documentation discipline and procedural mindset.
  • Bachelor's degree in CS, Engineering, Finance, or equivalent; or equivalent experience.

    • Preferred / Nice to Have

  • Prior experience in brokerage / capital markets / fintech operations (e.g., a role at a broker, exchange, or financial software company).
  • Familiarity with risk systems, margin calculators, or real-time P&L engines.
  • Exposure to observability tools (metrics, tracing, dashboards - e.g. Prometheus, Grafana, ELK, Jaeger).
  • Experience with scripting or automation (Python, shell, etc.).
  • Experience participating in postmortems, root cause tracking, and operational excellence programs.
  • Familiarity with regulatory, compliance, or accounting constraints relevant to broker operations.

    • Metrics / Success Criteria

  • Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) for incidents in core modules.
  • Percentage of incidents resolved without requiring engineering escalation.
  • Number and impact of recurring root-cause issues (i.e. reducing repeat failure modes).
  • Quality and maintenance of runbooks, SOPs, and troubleshooting documentation.
  • Contribution to postmortem findings and delivery of remediation tasks.
  • System uptime, operational SLA adherence, and user impact metrics.
  • Feedback from stakeholders across operations, dev, support, etc.
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