Jobs at Test Triangle

Build and support data pipelines, data assets, integrations, and models for enterprise analytics. Manage datasets for feature engineering, APIs, and ingestion; implement ETL across platforms; create reusable real-time and analytical data assets; and establish data quality monitoring and alerting. Collaborate with data scientists, data wranglers, and technical teams, with preferred hands-on GCP experience.

Provide onsite and remote desktop support in London, troubleshooting hardware, software, network, application, and access issues. Install, configure, deploy, maintain, and track devices and peripherals. Manage incidents and service requests within SLA targets, document resolutions, support users, coordinate escalations and vendors, and maintain security, compliance, asset, and service records.

Designs, implements, administers, and improves DevOps tooling and Azure infrastructure, with an initial focus on artifact management and repository modernization. Responsibilities include CI/CD tool administration, Kubernetes and Helm operations, infrastructure sizing, security improvements, monitoring, troubleshooting, migrations, automation, vulnerability management, and outage remediation. The role also evaluates requirements, configures build automation, supports high availability, and collaborates across global technology teams.

Define, architect, and lead delivery of machine learning and AI solutions. Support exploratory data analysis, proofs of concept, and the end-to-end data science lifecycle. Translate business problems into analytical and modeling solutions, communicate findings to technical and non-technical stakeholders, and provide specialist model delivery support. Design, develop, test, implement, and monitor models while tracking advances in data science and advising leadership on competitive capabilities.

Create Figma designs for five business-facing Store Allocation Suite applications, supporting an MVP and future capability development. Redesign existing systems using modern design best practices, develop reusable components with engineers, use Figma Make to accelerate delivery and handoff, and incorporate business feedback and change requests.

Performs business-focused data analysis, SQL reporting, dashboard development, root cause investigations, data profiling, and proof-of-concept analytics. Partners with stakeholders, customers, BI, data engineering, and product teams to translate business needs into technical solutions. Uses Azure data platform technologies, Python, and Power BI to develop insights, improve reporting, support data governance, and influence data-driven decisions.

Serves as the onsite Oracle HCM functional consultant and client-facing SME for Core HR and Absence Management. Responsibilities include requirements gathering, fit-gap analysis, configuration of workforce structures and absence processes, solution documentation, testing, demonstrations, data migration validation, quarterly release support, post-go-live issue resolution, and HR process improvement.

Leads customer-embedded data center transformation from assessment and strategy through target-state architecture, migration planning, governance, and execution assurance. Owns compute, storage, networking, virtualization, security alignment, resilience, disaster recovery, documentation, and operational readiness. Coordinates cross-functional delivery teams, vendors, and customer stakeholders while managing technical risks, design decisions, cutovers, and knowledge transfer.

Leads multidisciplinary engineering squads delivering large-scale banking technology programs. Responsibilities include setting engineering strategy, guiding cloud-native and microservices architecture, owning end-to-end delivery, enforcing quality and security standards, driving DevOps and operational excellence, managing stakeholders and risks, and developing distributed engineering teams. The role also oversees governance, release readiness, technical debt reduction, platform modernization, regulatory compliance, and production stability across strategic banking initiatives.

Lead large-scale data center and infrastructure migration programs for an investment banking client. Manage governance, budgets, risks, scope, timelines, resources, stakeholder approvals, and project reporting. Ensure compliance with organizational policies and banking standards while resolving delivery issues and improving team productivity. The role requires strong IT project management experience in infrastructure and data center environments, financial acumen, PMO proficiency, and excellent communication and organizational skills.

Designs, installs, configures, upgrades, patches, and maintains Sybase ASE and IQ databases across Linux and Unix platforms. Responsibilities include performance tuning, backup and recovery, security administration, high availability, replication, disaster recovery, bulk loading, capacity planning, automation, data warehouse support, cloud and cross-platform migrations, and database decommissioning. Supports production issues through on-call rotations and collaborates with application, development, and infrastructure teams in large-scale banking and financial services environments.

Designs and implements AI-driven solutions across the software development life cycle using the GitHub ecosystem. Responsibilities include architecting and tuning coding agents, building evaluation frameworks, governing prompt libraries, integrating AI with CI/CD pipelines and MCP servers, and embedding agentic workflows into enterprise engineering processes. The role requires advanced programming expertise, strong AI architecture knowledge, and experience applying generative AI within complex enterprise SDLC environments.

Own and evolve EMEIA infrastructure across VM-based and managed container environments. Design and build a Kubernetes-based platform, migrate existing workloads, manage networking, access controls, certificates, cloud infrastructure, RHEL systems, and infrastructure-as-code. Establish deployment and observability practices, troubleshoot incidents, maintain reliability and documentation, and support rapidly developed AI-assisted applications. Collaborate with developers, data teams, analysts, vendors, and global stakeholders.

Build and operate backend services in Golang, designing microservices and distributed systems for high-throughput transaction processing. Develop event-driven architectures using messaging systems such as Kafka and RabbitMQ, work with relational and NoSQL databases, and deploy containerized services using Docker and Kubernetes. Fintech or payments production experience is ideal, while PHP experience is beneficial.

Own the product backlog, roadmap, OKRs, release priorities, and developer experience for a mobile security product squad. Partner with engineers, product teams, and stakeholders to deliver secure mobile capabilities, balance technical and business needs, manage governance and business readiness, and support cross-functional transformation in a regulated financial-services environment.

Design, develop, and optimize enterprise-scale Snowflake data warehouses, pipelines, models, queries, and workflows. Build ingestion and transformation processes with Python, PySpark, Airflow, and AWS. Ensure data quality, governance, security, compliance, performance, and cost efficiency. Automate deployment and monitoring through CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders and engineering teams. Provide technical leadership, lead discussions, and mentor engineers.

Analyzes Salesforce business requirements by collaborating with stakeholders, defining epics and features, refining user stories and acceptance criteria, documenting requirements in traceability matrices or Azure DevOps, creating process flows, supporting solution design, and participating in Scrum and Agile delivery activities.

Configure, govern, optimize, and troubleshoot multilingual Adobe AEM web platforms, DAM integrations, templates, components, workflows, permissions, publishing, and releases. Translate business needs into technical specifications, validate component behavior, support production delivery, and improve authoring and publishing processes across locales. Collaborate with marketing, creative, and technology teams while maintaining platform standards, documentation, and governance.

Identify and analyze end-to-end business processes, uncover operational challenges, and translate them into Robotics, AI, and low-code automation opportunities. Responsibilities include process discovery and mapping, value assessment, prioritizing use cases, collaborating on solution designs and roadmaps, supporting pilots, and recommending process simplification, standardization, and digitization. The role requires strong operational excellence, analytical problem-solving, stakeholder management, and communication skills.

Develop and optimize a global derivatives algorithmic trading platform, including exchange connectivity, market-data processing, order gateways, and trading engines. Implement trading algorithms, integrate exchange APIs, improve multithreaded performance and reliability, maintain testing suites, enhance monitoring, troubleshoot production issues, and manage releases and deployments. Collaborate closely with traders, quants, technologists, and operations teams in a high-pressure trading environment.