Jobs at Deeplight AI

The Senior Cloud Solutions Architect will design secure, scalable cloud-native banking platforms on Azure and AWS, ensuring compliance with banking regulations while guiding engineering teams in implementation.

The Senior AWS Platform Engineer will architect and deploy AWS environments, manage AI/ML services, standardize deployments, and oversee cloud costs while ensuring seamless integration within the enterprise architecture.

The Senior Azure Platform Engineer will architect and deploy secure and automated Azure infrastructures, manage Azure AI services, and ensure cost-effective operations while leading FinTech integration projects.

The Specialist - Vulnerability Management will assess, prioritize, and track vulnerabilities in a banking environment, ensuring compliance with security policies and regulations.

Responsible for designing, developing, and maintaining enterprise-grade Power BI dashboards and reports, translating cybersecurity data into actionable insights for executives within a banking environment.

The Senior Specialist for SOC Threat Intelligence analyzes cyber threats, implements detection capabilities, monitors adversary tactics, and supports incident response within a bank's SOC.

Lead the design and implementation of security controls in banking environments, ensuring compliance and technical integrity across systems while mentoring other engineers.

The role involves managing cloud security vulnerabilities for a banking client, overseeing vulnerability management, collaborating with engineering teams, and producing risk reports.

Lead design and implementation of secure, compliant multi‑cloud (Azure/AWS) architectures for AI and banking platforms. Own HLDs/LLDs, cloud governance, FinOps, CI/CD pipeline security, zero‑trust networking, and mentor engineering squads while advising senior stakeholders on architecture and regulatory risk.

Own and automate the AWA platform deployment architecture in Azure: IaC (Terraform/Bicep), AKS cluster and namespace management, CI/CD pipelines, image signing, security policies, monitoring (KQL/Azure Monitor), private connectivity, Key Vault secret management, and automated DR to meet RTO/RPO targets.

Lead design and implementation of end-to-end test automation and validation frameworks for web UIs, microservice APIs, Kafka streaming pipelines, and Generative AI/LLM outputs. Build Playwright-based suites, API tests, prompt/ground-truth datasets, integrate tests into CI/CD, and collaborate with AI engineers and DevOps to ensure accuracy, safety, and reliability of enterprise AI systems.

Build and maintain human-facing surfaces for the Agentic Workflow Automation platform, including HITL reviewer UI, AgentOps dashboards, internal tooling, and design system. Integrate real-time streams, Azure monitoring, secure APIs, authentication, containerized deployments (AKS), and optimise performance and accessibility for enterprise banking workflows.

Engineer, deploy, and scale enterprise-grade AI systems (conversational agents, RAG, automation) for banking. Build MLOps pipelines, vector DB/knowledge-graph search, APIs/CI-CD, model optimization/fine-tuning, observability, and standards for fairness, security, and resilience. Translate analytics to business value and present technical solutions to stakeholders.

The AWS Glue Data Engineer will migrate source systems to the Lakehouse, build and optimize ingestion pipelines, and ensure data quality and compliance, collaborating closely with various teams.