As part of Bell's AIOps program, AIOps Support Engineers perform hands-on, manual triage of alarms and monitoring alerts across a large and diverse application portfolio.
Responsibilities
Perform manual Tier 1 triage: monitor, detect, classify, and route incidents based on alarm and alert signals from a range of source applications.
Work across a diverse tool set: interpret alerts from multiple log aggregation and observability platforms Dynatrace, New Relic, ManageEngine, Glass box, and others and translate them into consistent, actionable incident data.
Support standardized, real-time telemetry help build and maintain a clean Open Tele-based data backbone, ensuring alarm and alert data is standardized, timely, and reliable.
Move from reactive to proactive: contribute to the shift from reactive incident response toward proactive issue prevention by flagging patterns, gaps, and data-quality issues in monitoring coverage.
Understand a complex app ecosystem: learn and track the technology stack, architecture disposition (Invest, Tolerate, Retire, Migrate), and ownership of each supported application.
Identify growth corridors and opportunities to continue scaling Tiktak across acquisition, retention, frequency and cross-sell; expanding the user base while optimizing LTV and CAC
Develop a deep analytical understanding of user behavior and the drivers of growth across the entire customer journey
Design and run growth experiments end-to-end; from ideation and A/B testing to roll-out and automation, iterating based on data and results
Take ownership in the ideation, testing, analysis, modeling and visualization of growth processes to identify optimization opportunities
Integrate qualitative and quantitative insights to design effective brand, marketing and growth strategies aligned with business goals
Requirements
BSc or MSc degree from a reputable university, preferably in Engineering (e.g. Industrial Engineering) or Business Administration
Lead growth strategy initiatives to scale TikTak’s user base and optimize key metrics such as LTV and CAC.
Compensation
Stock Options Based on Company Alignment and Performance
Salary Bonus
Responsibilities
Identify growth corridors and opportunities to continue scaling Tiktak across acquisition, retention, frequency and cross-sell; expanding the user base while optimizing LTV and CAC
Develop a deep analytical understanding of user behavior and the drivers of growth across the entire customer journey
Design and run growth experiments end-to-end; from ideation and A/B testing to roll-out and automation, iterating based on data and results
Take ownership in the ideation, testing, analysis, modeling and visualization of growth processes to identify optimization opportunities
Integrate qualitative and quantitative insights to design effective brand, marketing and growth strategies aligned with business goals
Requirements
BSc or MSc degree from a reputable university, preferably in Engineering (e.g. Industrial Engineering) or Business Administration
Design and implement in-house tools to automate data labelling pipelines, reducing reliance on manual annotation using Active Learning, Weak Supervision, and Synthetic Data Generation.
Responsibilities
Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
Develop 'Human-in-the-Loop' (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
Quality Assurance & Denoising: Implement algorithmic checks to identify and correct mislabelled or 'noisy' data within existing datasets.
Tooling & Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
Model Optimization: Fine-tune 'teacher' models to generate high-quality pseudo-labels for 'student' models.
Support on Microsoft services, 3rd line operation for backend applications, project management, and applications automation within a global transport and logistics environment.
Responsibilities
Support on Microsoft services such as: AD, DNS, DHCP, IIS, Active Directory, IIS, SQL, Powershell VBS.
3rd line operation and support for backend of the applications and support of hosted by team additional core business applications (AV, Goodsync, PAM, Entrust Identity)
Project management and applications automation
Create and update documentation; actively build team’s knowledge base
Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes
This role builds and extends a greenfield data and AI platform supporting federal background investigation work in a high-trust environment (FedRAMP Moderate, NIST 800-171, and CUI).
Compensation
$112,000 - $179,000
Responsibilities
Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed data products
Develop and maintain the pipelines, transformations, and data products that move the platform forward
Work alongside the platform's lead engineer
Extend the platform using infrastructure-as-code patterns
Collaborate across technical and non-technical teams
Take ownership of financial and operational risk across international payment flows. You will help protect funds, assess counterparties and strengthen risk practices as the business develops.
Responsibilities
Monitor balances held with banks, payment service providers and third-party providers.
Manage FX risk and minimise losses on multi-currency conversions and settlements between Europe and Asia.
Assess the financial stability of banks, payment gateway providers and major merchants.
Adapt risk management policies to PSD2/PSD3 requirements and local Asian regulators, including MAS in Singapore and HKMA in Hong Kong.
Prepare regular reports on operational losses and financial resilience for senior management.
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