Bring modern SRE, distributed systems, observability, automation, and resilience practices to applications supporting financial-crime prevention and regulatory compliance.
Compensation
The annual base salary range is $125,000 to $140,000 per year. Total on-target compensation includes a base salary plus annual incentives that align with individual and company performance.
Responsibilities
Design, implement, and continuously improve the reliability, scalability, performance, and resiliency of Risk and Compliance platforms.
Establish and manage service level indicators, service level objectives, error budgets, recovery time objectives, and recovery point objectives for critical services.
Build observability solutions that provide visibility into both technical system health and business-processing health.
Develop monitoring, reconciliation, exception management, replay, recovery, and validation capabilities.
Design telemetry, dashboards, logging, distributed tracing, and alerting.
Manages and supervises the Production Engineering org unit according to defined objectives and KPIs.
Compensation
Weekly pay, Major Medical Insurance, and Life Insurance.
Responsibilities
Designs and leads initiatives with regard to Production Engineering
Takes responsibility for standards, governance and processes in area of responsibility
Defines and steers budgets for the development of activities within area of responsibility
Proposes and implements measures for improving team performance, organizational flexibility, diversity, succession planning, coaching, change management and personal growth
Ensures the implementation of defined standards relating to equipment, processes, software and systems within the Plant Engineering organization
The Sr Manufacturing Engineer is responsible for developing and optimizing manufacturing processes for new and existing Airside Handling Unit products, with strong emphasis on product process design, sequence of events (SOE), time study, layout planning, lean line design, automation, and new product development (NPD).
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Lead product process design for new product introduction and existing product improvements.
Develop and maintain manufacturing process flow, routing, and sequence of events (SOE) to ensure efficient and repeatable production.
Conduct time studies and analyze labor content, cycle time, and line balance to optimize productivity.
Create and improve work instructions, process standards, and manufacturing documentation.
Drive layout planning for production areas, equipment placement, material flow, and operator movement.
Requirements
Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or related field.
Seeking Principal Engineers to drive the future of the platform across Production Engineering (Reliability & Scale) and Dev Infrastructure (Developer Velocity & Platforms).
Compensation
$156,400.00 - $253,000.00/yr
Responsibilities
Solve complex distributed systems problems at the largest scales in the world.
Scale production infrastructure and architecture globally using Kubernetes, GCP, and AWS.
Use Go to build and operate highly scalable, resilient backend services.
Develop the internal tools necessary to monitor, alert, and optimize our live production footprint.
Architect & Build: high-scale developer tooling, dynamic testing environments, and CI/CD pipelines in a 100% modern, containerized microservices ecosystem.
Requirements
Nice to have: AI-Native Engineering
Nice to have: AI-enabled agentic development workflows
Lead Infrastructure Operations Engineer responsible for enabling, coordinating, and improving infrastructure capabilities to support AI-enabled use cases.
Compensation
$130,000 - $150,000 annual base salary depending on experience, qualifications, and geographic location
Responsibilities
Enable AI infrastructure and environments
Translate AI solution designs into infrastructure requirements
Coordinate infrastructure provisioning and changes with AWS managed services
Support operational readiness for AI solutions
Identify infrastructure dependencies and risks
Requirements
Bachelor’s degree in computer science, engineering, information technology, or related field
Lead the department to deliver safe, efficient and sustainable manufacturing performance. Drive operational excellence through process optimization, maintenance standards, cost management and continuous improvement, while developing team capabilities and ensuring compliance with Safety, Quality and Manufacturing Excellence standards.
Responsibilities
Lead and optimize manufacturing processes using statistical and quality tools.
Ensure compliance with Safety, Quality, Maintenance and Manufacturing Excellence standards.
Drive continuous improvement through root cause analysis, process control and standarisation.
Manage the department budget, resources and maintenance plans.
Monitor KPIs and develop improvement actions to achieve business objectives.
Requirements
Bachelor’s degree in Electromechanical, Automation & Control, Robotics, Mechatronics, Industrial or Mechanical Engineering