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Maintain and improve the reliability of ASX’s market-critical trading and clearing systems by automating operations, strengthening observability, and running CI/CD pipelines on AWS and Kubernetes.
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Build and operate a unified observability platform across Azure, GCP, Kubernetes, and hybrid environments to provide real-time visibility into infrastructure, apps, and customer transactions.
Build and maintain the bank’s observability platform, automating monitoring, alerting, and incident response to keep services highly available and efficient.
Build and evolve cloud-native Java microservices for mission-critical fintech platforms using Spring Boot, Kafka, and Kubernetes, while modernizing legacy systems.
Lead a full-stack engineering team building a wealth-management trading and rebalancing platform in Java/Spring Boot, Angular, and NestJS GraphQL, ensuring correctness, resilience, and scalability for multi-custodian workflows.
Designs and maintains monitoring, observability, and automation systems (Splunk, Ansible/Python) to ensure reliability and security of Euroclear’s critical IT services in a regulated environment.
Build and maintain Python-based validation frameworks for OpenStack, Kubernetes, and APIs, troubleshoot platform issues, and drive AI-assisted engineering workflows.
Build and own IG’s reliability platform using OpenTelemetry, Kubernetes, and AWS, setting SLOs and automating incident response for a high-throughput fintech trading system.
Build and maintain the internal AI agent platform that lets Procore teams create, deploy, and evaluate agents for ConTech workflows.
Build and deploy Java microservices and cloud-native apps on AWS, using Kubernetes, Docker, and CI/CD pipelines while balancing DevOps and development tasks.
Build and operate secure, scalable cloud-native infrastructure services for NVIDIA’s DGX Cloud and SuperPod, using Python, Go, Kubernetes, and observability tools.
Lead a team to build and scale a proactive, automated SRE practice that embeds reliability, observability, and incident response into Salesforce’s AI-driven platform and services.
Build and maintain enterprise-scale security data pipelines and SIEM integrations to power AI-driven threat detection and cybersecurity analytics for a global financial services firm.
Design and build enterprise-grade MLOps/LLMOps platforms on AWS SageMaker and EKS, automating model lifecycle from training to monitoring and ensuring scalable, secure AI deployments.
Builds and deploys secure enterprise AI workloads by writing production code, designing low-latency topologies, and integrating Prisma AIRS with microservices and multi-cloud architectures.
Senior AI Software Engineer specializing in Generative AI, designing and implementing production-ready applications using LLMs, agents, RAG, and cloud architectures (AWS/Azure). Core technologies include Python, LangChain, Docker, Git, and cloud services.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
About Artic Consulting Artic Consulting is a Microsoft-focused consulting partner helping clients modernize applications, data platforms, cloud operations, and business workflows through Microsoft cloud, AI,…
Principal Architect defines long-term software architecture for Experian’s products, sets enterprise standards, and guides engineering teams to build scalable, secure, and resilient systems using cloud-native and event-driven patterns.
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