Top Tech Jobs & Startup Jobs

Build and lead scalable batch and real-time data pipelines on AWS for security telemetry, analytics, detection, and AI/ML use cases. Develop Python frameworks, data models, and data products while ensuring quality, reliability, observability, and security. Collaborate with data scientists and engineers to productionize models, integrate enterprise security platforms, and implement DevOps, CI/CD, automation, infrastructure-as-code, and encryption practices. Own technical strategy and the end-to-end data engineering lifecycle.

Build and operate secure, scalable full-stack digital lending products using TypeScript, React, Node.js, and GraphQL. Own end-to-end delivery from architecture and design through deployment and production operations. Develop cloud-native services, enhance automation with Generative and Agentic AI, establish observability and automated testing, and lead complex cross-team initiatives. Mentor engineers, influence technology direction, and deliver intuitive customer experiences within a FinTech environment.

Lead incident management and operational excellence for SAP-backed services. Automate and standardize support processes, improve observability and SRE practices, reduce manual work via tooling and AI, maintain runbooks and recovery plans, and support .NET infrastructure and ABAP troubleshooting. Drive DevSecOps, stakeholder communication, and reliability improvements measured by SLA/SLO/MTTR.

Designs and develops reliable, scalable AWS and hybrid-cloud platforms using automation, Infrastructure-as-Code, CI/CD, DevSecOps, and SRE practices. Manages cloud infrastructure, builds deployment pipelines, establishes security and governance standards, and improves platform resilience, observability, availability, incident response, and operational efficiency. Collaborates with cloud, network, security, and application teams to deliver secure enterprise platforms.

Design, build and maintain scalable batch and real-time data pipelines and data products on AWS to ingest security telemetry, enable analytics/ML, ensure data quality and observability, integrate with enterprise security tooling, and drive DevSecOps/automation for the Group Security Data Platform.

Provides technical leadership for scalable, secure data platforms, pipelines, and products supporting analytics, real-time data, and AI use cases. Responsibilities include designing ETL strategies, data architectures, integrations, cloud solutions, and consumption patterns; mentoring engineers; setting standards; improving automation and reliability; partnering with cross-functional teams; managing technical roadmaps; and participating in on-call support.

Leads complex Java software engineering initiatives across design, development, deployment, and operations. Provides technical strategy, governance, architecture guidance, and consultancy across projects and platforms. Drives engineering excellence, mentors engineers, manages technical roadmaps, and supports reliable systems through on-call participation and critical issue resolution. The role focuses on enterprise banking systems, distributed architectures, APIs, cloud infrastructure, DevOps, observability, security, and emerging AI technologies.

Analyze and monitor the organization’s external attack surface across cloud, datacentre, and internet-facing environments. Investigate vulnerabilities and exposures, validate exploitability and risk, reduce false positives, prioritize findings, maintain asset visibility, communicate recommendations, and improve security monitoring, reporting, platform configuration, automation, and analytical workflows.

The Staff Software Engineer will lead automation and DevSecOps practices, manage AWS and VMware platforms, and develop Infrastructure-as-Code solutions to enhance system stability and operational efficiency.

Provide technical leadership and architectural direction for high-net-worth banking technology. Design scalable, secure, resilient services, APIs, integrations, and distributed systems; guide enterprise architecture and delivery across squads; resolve complex technical problems; establish engineering standards; champion testing, CI/CD, DevSecOps, observability, and resilience; contribute hands-on to complex implementations; evaluate AI technologies; and mentor engineers.