Top Tech Jobs & Startup Jobs

Lead remediation of MQ security vulnerabilities on mainframe systems for a regulated financial services client. Design and implement Broadcom Top Secret access controls, security patterns, and governance across batch processing, CICS, user permissions, and third-party integrations. Collaborate with mainframe and MQ engineers, document security standards, and complete audit remediation within strict deadlines.

Provides expert SAP EWM functional support and optimization across multi-site warehouse operations. Responsibilities include troubleshooting, testing, functional specifications, Fiori implementation, data migration, change management through ChaRM and ITSM, third-party mobility integrations, project execution, user training, documentation, and skills transfer. The role requires advanced SAP EWM expertise, Solution Manager experience, and availability for a 24-month full-time engagement.

Leads finance-focused business transformation initiatives, including strategic planning, forecasting, financial modeling, performance improvement, process optimization, and change implementation. The consultant assesses financial and operational gaps, develops recommendations, supports transformation delivery, leverages SAP and related systems, and engages senior stakeholders to drive sustainable business and financial improvements.

Build and operate AWS-based DevOps platforms in a regulated banking environment. Responsibilities include designing CI/CD pipelines, automating infrastructure and configuration with AWS CDK and related tools, managing cloud and hybrid workloads, integrating security and compliance controls, and improving observability and reliability. The role also involves networking, incident response, platform operations, mentoring, and collaboration with engineering, architecture, security, and delivery teams.

Design, build, optimize, and maintain scalable data pipelines and cloud-based data platforms on Microsoft Azure, with a focus on Azure Synapse Analytics. Integrate, ingest, and transform data from multiple sources while ensuring reliability and performance. Collaborate with UK-based stakeholders, translate requirements into technical solutions, troubleshoot platform issues, and support existing architectures. Work independently across project deliverables in a remote, distributed environment.

Support and enhance hybrid AWS cloud environments through infrastructure automation, CI/CD implementation, observability, reliability engineering, and platform engineering. Responsibilities include provisioning workloads, automating software configuration rollouts, troubleshooting low-latency Java applications, applying networking principles, and implementing AWS Well-Architected practices in PCI-DSS-compliant environments.

Lead the functional design, configuration, and implementation of SAP GTS on SAP HANA for global trade compliance and customs processes. Responsibilities include stakeholder workshops, solution design, sanctions and embargo screening, customs management, licensing, product classification, preference determination, testing, global rollout, deployment, documentation, and hyper-care support. The consultant will work with international stakeholders in a client-facing consulting environment and travel internationally to Turkey.

Lead the design, development, and optimization of enterprise-scale cloud data platforms and pipelines. Provide technical leadership across data engineering initiatives, mentor engineers, and establish engineering standards. Build ETL/ELT frameworks, data warehouses, lakehouses, integration components, and analytics-ready data assets. Implement governance, quality, metadata, lineage, security, and observability controls. Collaborate with stakeholders, BI, architecture, governance, infrastructure, and software teams while supporting production operations, troubleshooting, deployments, and continuous improvement.

Develop and maintain reliable Android and iOS applications using Kotlin and/or Swift. Integrate RESTful APIs and backend services, implement mobile-first designs, troubleshoot and enhance existing applications, and support testing, releases, and deployments. Collaborate with product owners, designers, UX/UI teams, and backend developers while participating in code reviews and following modern development practices.

Leads advanced analytics and machine learning initiatives, including predictive, forecasting, classification, and recommendation models. Analyzes complex datasets, deploys and monitors production models, and partners with engineering teams to build scalable data solutions. Presents insights to stakeholders, drives business decisions, and mentors junior data scientists and analysts.