- Ensure platform reliability and availability across production and pre-production environments through proactive monitoring, alerting, and automation. - First response for incidents, contribute to problem management and root cause analysis. - Supporting the development team's effort towards reliability, creating a solid reliability culture within the development lifecycle. - Develop troubleshooting documentation for production support resources. - Collaborate with Engineering teams to develop optimised and productive runbooks, operational documentation and automation of operational tasks. - Collaborate with development and cloud engineering teams to embed reliability and performance into the software delivery lifecycle. - Design, implement, and evolve observability solutions (metrics, logs, traces, dashboards) using tools such as Prometheus, Grafana, and ELK. - Participate in on-call rotations and continuously improve alert quality and response processes. - Champion a culture of reliability, performance, and continuous improvement across teams.

Role Description This is a hands-on, get-it-done engineer who keeps ZIRO’s software running smoothly from code to production and everything in between. You take complex, inherited systems and turn them into clean, scalable, well-documented infrastructure that teams actually love to use. You build and improve CI/CD pipelines, monitoring, and release processes that make shipping software fast, safe, and repeatable. At the end of the day, your work empowers engineers to move quickly with confidence and ensures our platforms are stable, reliable, and ready for anything. What you will do - Build, Scale and Maintain a Consistent and repeatable release process for products managed by the R&D Ops team - Build and maintain infrastructure to support ZIRO’s SaaS products with high availability (failover/disaster recovery) - Plan and maintain infrastructure to support CI/CD pipeline and automated testing - Writing, updating documentation such as runbooks/playbooks for operations to follow - Point of escalation for operations and engineering - Provide support and escalation for CI/CD pipeline - Build and Maintain monitoring and management systems for systems managed by the R&D Ops team Qualifications - 5–8+ years in DevOps, SRE, or Infrastructure roles supporting SaaS or enterprise platforms - Strong experience designing and maintaining CI/CD pipelines, automated testing, and release workflows - Deep knowledge of cloud infrastructure (Azure/AWS) including high availability and disaster recovery - Hands-on experience with Infrastructure as Code tools (e.g., Terraform, Ansible) and system automation - Proven ability to troubleshoot production issues, build monitoring/alerting systems, and partner closely with engineering and ops teams Benefits - Flexible, take what you need PTO 🏖️ - Competitive wages 💵 - Company sponsored health, vision and dental plans ⚕️ - Fully remote roles 💻 - Home office budget 📎 - Company sponsored social events 🤩 Company Description ZIRO is a leader in Unified Communications, helping customers deliver modern voice through Teams Phone and Microsoft 365. We help companies migrate, automate and manage their phone systems with industry-leading technology and decades of expertise with enterprise calling. Our platform simplifies the complex, helps IT teams move faster, and deliver a unified experience to every user. We’re a growing, people-first team that values accountability, courage, innovation, passion, selflessness and good judgment. We are on the mission to make every conversation count, and you can be too!

Role Description Delivery Associates (DA) is seeking a Head of Data Ops and Systems to lead and strengthen our internal technology infrastructure, data capability, and systems operations. This is a senior leadership role responsible for ensuring DA's internal systems are fit for purpose, well-integrated, and built on a foundation of strong data architecture and governance. This is an internally focused role. The successful candidate will be responsible for keeping DA’s data and technology foundations reliable and evolving, leading and working alongside platform engineers, full stack developers, and data teams to build the infrastructure and data architecture that underpins how we operate globally. Key Responsibilities - Systems & Infrastructure - Own DA's systems strategy, architecture, and investment direction, ensuring infrastructure, platforms, and security enable reliability and scale. - Lead a lean technical team, ensuring the infrastructure and systems that support DA’s global operations are built, maintained and continuously improved. - Lead technology architecture and platform decisions, balancing operational resilience with the need to evolve systems over time. - Ensure appropriate cybersecurity governance is in place, including oversight of controls, access policies, data protection and compliance requirements. - Manage system performance, uptime, and incident response, ensuring operational continuity across geographies. - Manage relationships and contracts with technology vendors and system providers, ensuring DA receives value, appropriate service levels, and contract compliance. - Maintain and improve IT documentation, processes, and standards across the organisation. - Systems Integration - Lead the integration strategy across DA's internal platforms and tools, ensuring systems connect effectively and data flows reliably between them. - Identify and resolve integration gaps that create friction, duplication, or data inconsistencies across the organisation. - Evaluate and recommend systems changes or replacements where current tools are not fit for purpose. - Translate operational needs from across the business into clear systems requirements and solutions. - Data Architecture, Quality & Governance - Own and evolve DA’s data architecture, designing and maintaining the structures, pipelines and infrastructure through which data flows across the organisation. - Own DA's internal data quality agenda, defining standards, building and managing processes to identify and resolve data issues, and embedding accountability for data quality across teams. - Develop and maintain a data governance framework, including data definitions, ownership, lineage, and access policies. - Provide strategic direction and oversight of data science work, ensuring data is structured, analysed and used effectively across the organisation. - Lead data modelling, data mining and data extraction approaches to improve the quality and usability of DA’s internal data assets. - Act as DA’s Data Protection Officer (DPO), taking responsibility for data protection obligations and ensuring compliance with relevant regulations across global jurisdictions. - Governance, Strategy & Execution - Develop and maintain a clear technology and data roadmap with defined priorities, milestones, and success metrics. - Establish strong technology governance, including decision rights, escalation paths, and investment discipline. - Ensure alignment between IT investments, systems, and broader organisational strategy. - Identify, evaluate and manage technology and data risk at an organisational level, ensuring risks are understood, prioritised and addressed effectively across DA’s systems and data landscape. - Lead a portfolio of change initiatives across data and systems, managing interdependencies, sequencing work effectively, and maintaining momentum across multiple concurrent priorities. - Drive organisational change effectively, managing stakeholder expectations, communicating progress clearly, and ensuring new ways of working are embedded across the organisation. - Translate strategy into execution through clear plans, routines, and accountability. - Leadership & Collaboration - Build, lead, and develop a high-performing data and systems team, setting clear expectations and creating the conditions for accountability and growth. - Work closely with senior leaders and internal stakeholders across DA's practices and regions to understand needs and deliver effective solutions. - Communicate complex technical topics clearly and confidently to non-technical audiences. - Actively seek ways to innovate across data, systems, and technology, and support delivery teams across DA to do the same. - Foster a culture of reliability, continuous improvement, and high operational standards. Qualifications - Bachelor's degree in computer science, engineering, information systems, data science, or a related field. Extensive professional experience may be considered in place of formal education. - Significant senior experience leading data operations, data architecture, and systems functions in global organisations. - Strong background in data science and data governance, including data quality management, data modelling and governance frameworks. - Proven experience designing and evolving data architecture, pipelines, and infrastructure. Experience leading and managing teams of platform engineers and developers. - Proven experience managing and improving integrations across enterprise platforms and tools, with a solid grounding in IT systems, infrastructure, and security. - Significant experience in data protection with a strong working knowledge of data protection obligations across global jurisdictions. - Proven ability to establish technology and data governance, manage risk, and translate strategy into executable roadmaps. - Demonstrated experience managing a portfolio of technology and data initiatives, delivering organisational change, and managing stakeholder expectations across complex, fast-paced environments. - Excellent written and verbal communication skills, with the ability to engage effectively with senior leaders and non-technical audiences. Fluency in English is required; additional languages are a plus. Benefits - Opportunities to engage with senior leaders and contribute to an organisation delivering meaningful social outcomes globally. - Work with diverse teams across geographies. - Access to world-class training programmes and mentorship from senior leaders. - Be part of a growing organisation committed to continuous improvement. - Remote working environment with opportunities for global collaboration. - Comprehensive benefits package for the effort they put in. Company Description Delivery Associates (DA) is a global social impact consultancy specialising in transforming the public sector. We help governments, philanthropies, and social impact organisations turn ambitious goals into an everyday reality for the people they serve. At DA, we value excellence, humility, and passion, ensuring that we deliver the highest quality work while staying committed to making a meaningful difference.

• You will be working day to day on AWS, our infrastructure-as-code, our CI/CD setup, observability, and the on-call rotation. • A meaningful part of the work is automation: when we find ourselves doing the same thing twice, we usually invest in tooling rather than writing another runbook. • Most of that tooling is written in Go. • Infrastructure is defined with Terraform and Terramate, with Atlantis running plan and apply on pull requests. • Workloads run on EKS with Karpenter and Fargate, deployed through ArgoCD. • Observability is built on Grafana, Loki, Tempo, and Prometheus compatible metrics.