Systems Reliability Engineer (Remote) at Long-Term Stock Exchange

The Role

The Systems Reliability Engineer plays a critical role in ensuring that the Long-Term Stock Exchange’s cloud-native infrastructure, regulatory reporting workflows, and compliance-driven data systems operate reliably and transparently.

The SRE will own key responsibilities across billing, security, business intelligence/data science infrastructure, technical debt remediation, and AWS-based data engineering. This role requires a self-starter who is highly curious, excited about financial markets, and eager to take full ownership (Directly-Responsible Individual – DRI) of processes, pipelines, and improvements. It is a hands-on engineering position suited for someone who thrives in a small, high-impact team with shifting priorities and minimal oversight.

Duties & Responsibilities

• Billing & Regulatory Reporting

  • Assist the finance team with monthly billing workflow execution, ensuring accuracy, auditability, and adherence to regulatory/SEC requirements.
  • Help design and build automated reporting and billing pipelines using AWS services and Terraform/Terragrunt-managed infrastructure.
  • Create tickets for required changes, improvements, or patches, drive these items through completion.
  • Manage secure compute environments (e.g., restricted-access EC2 instances) used for billing and regulatory batch workflows.
  • Maintain documentation, runbooks, checklists, and archival processes for billing artifacts and audit requirements.
  • Proactively initiate conversations and escalate when anomalies, risks, or high-importance issues are detected.

• Security & Exposure Management

  • Address cloud security findings and coordinate remediation, with a focus on daily Tenable findings and high/critical vulnerabilities.
  • Disposition, categorize, and document findings to maintain compliance and audit readiness.
  • Oversee vendor patching operations for data-center or platform-related vulnerabilities.
  • Track SLA expectations for remediation and ensure timely closure.
  • Proactively initiate discussions if severe risks or unusual patterns emerge.

• Business Intelligence and Data Science Support

  • Collaborate with engineering and BI/DS functions on infrastructure needs, data source integration, and pipeline enhancements.
  • Support proof-of-concept efforts, prototype new tooling, and assist with vendor evaluations.
  • Help manage AWS infrastructure, permissions, and resource provisioning needed for BI and analytical workloads.
  • Proactively raise observations or concerns related to data quality, pipeline stability, or analytical tooling.

• Technical Debt and Operational Excellence

  • Assist the team in addressing ongoing technical debt, including cleanup, patching, refactoring, and modernization.
  • Take ownership of repetitive tasks, deployments, documentation, and operational workflows to reduce team overhead.
  • Ensure all changes follow proper audit trails, checklists, and change-management processes.
  • Maintain high-quality documentation, runbooks, diagrams, engineering design specs, and operational logs.
  • Proactively highlight high-priority issues, gaps, or improvement opportunities.

• General Engineering Responsibilities

  • Participate in on-call rotations, respond to incidents, perform first-level triage, and escalate when necessary.
  • Communicate clearly, promptly, and respectfully - especially in public Slack channels.
  • Coordinate with vendors (platform operators, network providers, tools vendors) to ensure timely resolution and SLA compliance.

Mindset & Team Expectations

• Learn new tools and technologies quickly, adapt to shifting priorities with flexibility and resilience.
• Collaborate openly, ask questions early, and always seek clarity when needed.
• Operate transparently: work in public channels, document decisions, ensure shared understanding.
• Take ownership - be the DRI for systems, workflows, and improvements you manage.
• Be very curious, passionate about markets and technology, and willing to learn about trading platforms and stock-market operations.
• Voice opinions thoughtfully, understand context, “read the room,” and know when to pivot or persevere.

Required Skills & Abilities

• Strong AWS experience, especially with data pipeline architectures.
• Proficiency with Terraform/Terragrunt and GitHub workflows.
• Expert scripting skills.
• Experience with Go (preferred) and Python (legacy).
• Familiarity with vulnerability management tools (Tenable or similar).
• Strong Linux fundamentals.
• Ability to manage compliance-oriented, audit-driven workflows.
• Strong communication and documentation habits.
• Ability to triage issues independently and escalate appropriately.

Education & Experience

• Experience in regulated or compliance-heavy environments (finance, fintech, health, etc.).
• Experience in data-driven systems, billing or financial reporting pipelines, or BI/DS infrastructure support.
• Prior vendor coordination or SLA-driven operational experience is a plus.
• Demonstrated history of direct responsibility for, background or strong interest in financial markets is highly desirable.

LTSE's Compensation Philosophy

The target salary range for this role is $140,000 - 180,000 with an anticipated midpoint of $160,000.

Base compensation is part of a total rewards package including stock options and benefits, and may include additional performance incentives. We review all employee pay and compensation programs annually using multiple databases including Pave, Radford, McLagan, and other peersets, to ensure competitive and fair pay.

To determine the compensation for the role, we use a data-driven, blended rate approach to ensure we are paying competitively among our peers by benchmarking to companies of similar size and stage, and hire at the 50th percentile (midpoint) of the salary range.