Application Support Engineer

OneMarketData is continuously searching for bright talent with the skills to make an impact. From developers to data scientists, at OneTick, you will have the opportunity to develop and enhance your problem-solving skills using a combination of analytics, imagination, and talent.

OVERVIEW

We’re a leading RegTech company, delivering advanced market and trade surveillance solutions to some of the world’s top financial institutions, including regulators, exchanges, and brokers.

Our flagship product, OneTick Trade Surveillance, was named Best Trade Surveillance Solution at the TradingTech Insight Awards USA 2025, and is trusted to detect complex forms of market manipulation.

Every day, our systems process and analyze massive volumes of market data - helping firms stay compliant with global regulatory standards like MiFID II, SEC, FINRA, ASIC, and IIROC.

We’re now looking for a seasoned SRE Engineer to help us ensure the stability, scalability, and performance of our services as we continue to grow!

Prior to advancing with your application, we kindly request that you review the
CONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated.

You'll thrive in this role if you're someone who

• Takes ownership of service reliability and acts quickly when systems signal problems, while trying to prevent problems proactively

• Systematically approaches bottlenecks within the system (and has map of these bottlenecks overall), converts them to measurable digits (including RPO, RTO, etc.) and provides remediation measures

• Is able to switch between operational and system level issues

• Enjoys being the bridge between technical teams and customers — translating complex issues into clear, timely communication - and is ready to accommodate partially support nature of the job

• Is methodical and detail-oriented, with process mindset and understanding of the documentation importance

• Has a genuine interest in financial markets and trading workflows

• Wants to grow in reliability of complex FinTech Cloud-based systems area, gaining exposure to a global client base

Tech stack

• Apache Airflow — monitoring pipeline health, identifying failed DAGs and data processing issues
• Sentry — tracking application errors, exceptions, and anomalies
• Grafana — reading dashboards, interpreting metrics and alert rules
• OneTick time-series database — understanding data flow context
• Basic Linux CLI for log inspection and diagnostic commands

What you'll do

SRE aspect of the job

• Build the wholistic picture out of the separate issues and improve overall system stability and reliability
• Contribute to making system stability and reliability measurable
• Deliver reporting of the system stability and reliability
• Collaborate with the Product team to remediate the systematic issues
• Consider AI for the productivity increase

Monintoring aspect of the job

• Monitor Airflow, Sentry, and Grafana continuously for alerts, failures, and anomalies
• Detect, register, and triage incidents according to severity and impact

Support aspect of the job

• Communicate proactively with customers: acknowledge issues, provide status updates, and set ETA expectations
• Escalate complex or unresolved incidents to the appropriate engineering teams with clear context
• Fulfil service requests from clients in a timely manner
• Maintain incident logs and contribute to post-incident summaries

Requirements

• Airflow: ability to navigate the UI, inspect DAG runs, identify failures and their causes
• Sentry: ability to read error traces, identify patterns, and assess severity
• Grafana: ability to interpret dashboards, understand alert conditions, and identify anomalies
• Experience of working with Git and CI/CD approach.
• Linux: basic command-line proficiency for log inspection (not system administration)
• English: professional working proficiency — both written (customer emails/tickets) and spoken
• Proven experience of working as SRE or with L1/L2 Customer support.
• ITSM fundamentals: understanding of Incident, Problem, Service Request concepts
• Experience with ticketing systems (Jira, Zendesk, or similar)
• Awareness of Kanban approach
• Computer networking: familiarity with diagnostic tools (ping, traceroute, dig)

Nice to have

• Basic knowledge of financial markets and trading workflows (equities, derivatives, trade lifecycle, corporate actions)
• Basic knowledge of AWS and Cloud technologies
• Familiarity with AI automation
• Familiarity with observability stacks (ELK, LGTM)
• Python: ability to read basic scripts for context (not required to write)
• Awareness of the best release practices

The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.