• Own, maintain, and improve CI/CD pipelines and internal delivery tooling for Public Warning products. • Design and develop reusable Jenkins and GitLab pipeline templates and automation frameworks. • Drive automation across deployments, upgrades, configuration management, operational workflows, and technical documentation. • Work within Kubernetes-based environments across both cloud and on-premise infrastructures. • Support and optimize infrastructure hosted within AWS and OVH environments. • Use technologies such as Ansible, Helm, Terraform, Python, and scripting to reduce manual operational effort and improve platform reliability. • Enhance certificate management, observability, monitoring, logging, and operational readiness across environments. • Work with technologies including Grafana, Zabbix, OpenTelemetry, HAProxy, MariaDB, Kafka, and OpenShift. • Create and maintain scripts, installation materials, operational runbooks, and technical documentation for Engineering and Professional Services teams. • Collaborate with customer-facing teams and occasionally participate in customer discussions to better understand deployment challenges and operational pain points. • Support escalations and troubleshooting activities when required. There is currently no formal on-call rotation associated with this role.

• Evolve and modernize Public Warning products deployment and operation. • Focus on automation, platform reliability, delivery efficiency, and operational excellence. • Enable transition towards cloud-native delivery models. • Simplify customer deployments and reduce operational complexity. • Collaborate with engineering, infrastructure, and delivery teams to enhance internal delivery platform. • Adopt AI-enabled engineering practices and automation to improve workflows and productivity.

• Responsible for designing, developing, implementing, and supporting scalable cloud-based data platforms, pipelines, integrations, and lakehouse solutions that enable enterprise reporting, analytics, operational insights, and AI-driven initiatives. • Extracts, transforms, and optimizes data from complex and diverse data sources while ensuring reliability, performance, governance, and operational efficiency across the enterprise data ecosystem. • Designs and develops data pipelines to ingest, transform, and load data from various sources into the data ecosystem. • Designs, develops, and maintains scalable, secure, and reliable enterprise data platforms, pipelines, integrations, and cloud-native data solutions. • Implements and supports modern data platform architectures including medallion, lakehouse, dimensional, and semantic modeling patterns. • Develops and maintains notebooks, data engineering frameworks, orchestration solutions, and reusable components using SQL, Python, PySpark, and cloud-native technologies. • Supports Microsoft Fabric environments including Lakehouse, Warehouse, Data Pipelines, Notebooks, OneLake, semantic models, and Power BI integration. • Supports enterprise Power BI solutions including gateways, refresh optimization, data connectivity, semantic models, and performance tuning. • Designs and implements integration patterns including APIs, event-driven integrations, cloud-native integrations, and file-based data movement processes. • Creates and maintains monitoring, logging, alerting, observability, and operational reporting frameworks to ensure platform reliability and SLA adherence. • Supports cloud infrastructure and modernization initiatives across Azure, AWS, Microsoft Fabric, and related cloud services. • Monitors platform health, compute utilization, refresh performance, storage efficiency, reliability, and operational metrics across data environments. • Collaborates with Analytics Engineers, Data Owners, Infrastructure teams, Security teams, and business stakeholders to understand requirements and improve platform efficiencies through automation and optimization. • Troubleshoots and resolves pipeline, infrastructure, integration, data quality, and performance issues across enterprise data platforms. • Contributes to platform standards, governance practices, documentation, and operational procedures. • Researches emerging technologies, tools, and industry trends to recommend improvements to the enterprise data platform ecosystem. • Provides mentorship and technical guidance to junior engineers and team members. • Maintains a customer-first mentality while collaborating with stakeholders, leadership, and engineering teams.

Role Description We are seeking a highly skilled Senior Power Platform Developer with a strong background in Power Pages and JavaScript to join our dynamic team. - Build and customize Power Pages portals with advanced JavaScript, Liquid templates, and CSS for enhanced user experiences. - Integrate Power Platform solutions with Dataverse, SharePoint, Azure services, and third-party APIs. - Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications. - Ensure solutions are secure, scalable, and aligned with best practices and governance standards. Qualifications - 4–6 years of hands-on experience with Microsoft Power Platform, especially Power Pages. - Strong proficiency in JavaScript, HTML, CSS, and Liquid templating. - Experience with Dataverse, Power Automate flows, and custom connectors. - Familiarity with Azure AD, role-based access control, and portal authentication mechanisms. - Solid understanding of ALM (Application Lifecycle Management) in Power Platform. Benefits - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI.