• Design, implement, and optimise complex infrastructure solutions across customer and internal environments • Support cloud, server, networking, and endpoint management initiatives • Ensure infrastructure solutions are secure, scalable, and aligned with business requirements • Participate in the planning and delivery of strategic technology projects • Lead and support cybersecurity initiatives across client environments • Manage vulnerability remediation and security improvement programs • Implement and maintain security technologies and controls • Conduct risk assessments and provide recommendations to strengthen security posture • Deliver internal and customer-facing project work across infrastructure, security, automation, and operational initiatives • Conduct project scoping, solution design, and risk assessments • Collaborate with stakeholders to ensure successful project outcomes • Support pre-sales activities by providing technical expertise and solution recommendations • Act as a senior escalation point for Service Desk and support teams • Troubleshoot and resolve complex technical issues across infrastructure and cloud environments • Provide guidance and mentorship to technical team members • Ensure operational stability and service excellence across managed environments • Identify opportunities to automate repetitive tasks and operational workflows • Develop automation solutions using scripting and modern management platforms • Drive continuous improvement initiatives that enhance efficiency and service quality • Contribute to operational best practices and technical standards

Role Description We are seeking a skilled Mainframe Systems Programmer to support, maintain, and enhance our IBM z/OS mainframe environment. This role is responsible for installing, configuring, upgrading, and tuning system software and hardware to ensure high availability, performance, and security of mission-critical systems. The ideal candidate will work closely with application development, operations, security, and infrastructure teams to support both production and non-production environments. - Monitor system performance, and resource utilization, diagnose root cause, and remedy. - Shared responsibility for maintaining the z/OS and JES2 software environment. - Work with application programmers to ensure that application problems do not adversely affect production operations. - Provide guidance to application programmers where appropriate. - Assist with the analysis, design, programming, and implementation of internal products. - Develop/maintain/monitor proper system use and security policies and rules. - Create, maintain, and upgrade operating system software for development environments. - Analyze requirements and recommend policies, procedures, and standards for operating system software. - Implement and verify backup and recovery procedures. - Install new z/OS releases as they become available and configure to support Development environments. - Keep supported systems current with the latest maintenance provided by IBM to maintain system reliability and ensure availability. - Be available after hours for emergencies or exceptional situations concerning the mainframe environment. - Resolve any system-related problems that may arise in a timely and efficient manner. Qualifications - Minimum 7 years of experience as a Mainframe Systems Programmer. - Strong hands-on experience with IBM z/OS in an enterprise environment. - Deep understanding of JCL, DASDM, catalogs, and VSAM. - Understanding of Parallel Sysplex, Coupling Facilities, shared DASD, and related. - Experience with SMP/E, system upgrades, and maintenance processes. - Solid understanding of JES2, system libraries, and z/OS initialization and configuration. - Solid understanding of the hardware and how it works, including DS8000, VTL, HMC, CSM. - Experience with system IPLs and system recovery activities. - Familiarity with mainframe security concepts and tools (e.g., RACF). - Familiarity with other IBM strategic products such as z/VM, CICS, IMS, DB2. - Ability to produce and review RMF and SMF-based reports. - Knowledge of TCP/IP AT-TLS, encryption, and certificates. - Some programming experience in one of Assembler, Rexx, Python, C, or PL/I would be favorable. - Good understanding of USS, OMVS, and bash-family scripting. - Experience of cloud backups would be useful. Company Description Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products, and strategic services. Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Our 2500 employees are unified by four company core values: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning, and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices on over 5 continents. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks.

• Build and operate backend systems that serve AI-powered insurance workflows in production. • Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. • Build inference pipelines for LLM-based and AI-assisted automation systems. • Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). • Design stable service boundaries between backend systems, ML components, and product APIs. • Implement observability: logging, metrics, tracing, alerting, and incident response workflows. • Debug production issues across distributed AI systems and resolve root causes. • Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. • Continuously improve system reliability, scalability, and performance.

• Build and operate backend systems that serve AI-powered insurance workflows in production. • Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. • Build inference pipelines for LLM-based and AI-assisted automation systems. • Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). • Design stable service boundaries between backend systems, ML components, and product APIs. • Implement observability: logging, metrics, tracing, alerting, and incident response workflows. • Debug production issues across distributed AI systems and resolve root causes. • Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. • Continuously improve system reliability, scalability, and performance.