Senior Cloud Platform Engineer responsible for ensuring reliability, availability, and performance of applications and services, building monitoring, automation, and incident management.
Responsibilities
Develop and implement strategies for monitoring and alerting of systems health, performance, and security
Develop and implement strategies for incident management, problem management, and change management
Lead creation and maintenance of automation tools and code for configuration management, deployment, and maintenance of cloud-based infrastructure
Collaborate with development and operations teams to ensure proper testing, deployment, and maintenance of application and infrastructure changes
Provide knowledge sharing as a recognized SME through writing complex knowledge articles, mentoring, and staff technical development
Requirements
Bachelor’s degree in information systems/technology, Computer Science, a related field in technical engineering, or equivalent experience
Nice to have: AWS or Azure certifications (AWS/Azure Solutions Architect, Developer, etc)
Lead a portfolio of forward-deployed engineering engagements across business and platform domains, serving as the senior technical lead in discovery and solution design.
Responsibilities
Lead a portfolio of forward-deployed engineering engagements across business and platform domains; define priorities, allocate resources, and ensure delivery of measurable outcomes within defined timelines.
Serve as the senior technical lead in discovery and solution design with executive stakeholders; translate ambiguous opportunities into actionable, production-ready plans.
Own and evolve forward deployment methodologies, including engagement standards, delivery playbooks, and handoff frameworks.
Champion a reuse-first approach, driving the creation of reusable patterns, reference architectures, and platform contributions from field learnings.
Establish and enforce engineering quality standards, including secure-by-default practices, observability, testability, and operational readiness.
Requirements
Bachelor’s degree in Computer Science, Engineering, or related field
Lead end-to-end software delivery and platform resiliency for business-critical applications.
Responsibilities
Lead end-to-end software delivery: requirements, design, development, testing, deployment, and post-release support across multiple applications and services
Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Modernize and maintain applications: reduce technical debt, improve code coverage, manage dependency hygiene, and execute structured refactoring plans
Champion secure SDLC: ensure code quality, security scanning/remediation, secure configurations, and compliance in partnership with security and risk teams
Drive DevOps excellence: automate CI/CD pipelines, environment provisioning, and release management with robust rollback strategies
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Requirements
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
Nice to have: Experience with NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA
Nice to have: Integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems
Lead cloud architecture and engineering workstreams for PwC Southeast Asia Consulting, driving cloud strategy, migration, and implementation across public, private, and hybrid environments.
Responsibilities
Represent PwC in delivery holding a workstream lead for cloud architecture & engineering
Work with customers to understand current state and design future cloud environment
Deliver implementation owning architecture design and planning
Craft cloud strategy and conduct migration assessment
Serve as technical cloud SME to clients
Requirements
Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field or foreign equivalent
Nice to have: Microsoft Certified Azure Solution Architect Expert
The role involves reviewing and optimizing current credit risk criteria for underwriting and offers, focusing on enhancing merchant performance, reducing losses, and increasing portfolio profitability.
Responsibilities
Review and optimize underwriting decision criteria, approval strategies, and offer structures to improve risk-adjusted performance and profitability
Analyze customer, merchant, and portfolio performance to identify growth opportunities, loss drivers, and emerging credit or fraud risks
Evaluate merchant-level performance, including approval rates, conversion rates, customer payment behavior, losses, and profitability trends
Develop data-based recommendations to enhance merchant outcomes while maintaining appropriate credit risk controls
Manage and refine line assignment strategies to ensure offers are appropriately aligned to customer risk, affordability, and profitability objectives
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