Role Description Are you an experienced DevOps/Systems admin skilled with PowerShell and API and want to make an immediate impact? At Ivanti, we work passionately and authentically, striving to win together and make a real impact for our customers and each other. Join us to elevate your career and help deliver innovative solutions in a dynamic, empowering environment. Why this role matters: - This role handles DevOps tooling for the entire company. - Will have opportunity to handle tickets leveraging automation such as PowerShell and Python. - This role also contributes to development/project work like improving GitHub instances and building systems. Qualifications - 2-3 years’ experience with APIs and automation in PowerShell or Python. - Development experience with an object-oriented language. - Experience administrating an instance of Git based source control. - Experience using Virtual Machine systems (vSphere). - Experience installing applications into a Linux or Windows environment and image creation. - Experience with build systems and pipelines. - Basic networking concepts and authentication methods. - Support/administration of enterprise or development toolsets. - Understanding of Azure. Requirements - Automating with PowerShell with API. - Ticket resolution on access troubleshooting. - Project work Automating with PowerShell and API. - Responsive operation work in a DevOps system admin environment. - Migrate source control from one to another during acquisitions. Benefits - Friendly flexible working model: Empower excellence whether you’re at home or in the office and support work-life balance. - Competitive compensation & total rewards: Including health, wellness, and financial plans tailored for you and your family. - Global, diverse teams: Collaborate with talented people from 23+ countries. - Learning & development: Grow your skills with access to best-in-class learning tools and programs. - Equity & belonging: We value every voice. Your story helps inform our solutions for a changing world.

Role Description As a Forward Deployment Engineer in our Professional Services Team, you will be instrumental in guiding new clients through a smooth and successful integration with our SaaS platform and implementations on client premises. You will leverage your knowledge of modern development, deployment, and security practices to manage client-specific configurations, ensure optimal performance within our infrastructure, and help clients understand how to utilize our product suite effectively. This role requires adaptability, strong communication skills, and the ability to balance multiple client engagements. Key Responsibilities - Collaborate with clients and internal teams to onboard them in our FinTech platform seamlessly and within the agreed schedule. - Work with automation tools (GitHub, YAML, Helm) to package, deploy, and configure applications in Kubernetes (basic to intermediate knowledge). - Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting. - Develop and review XML-based configurations and data exchange schemas. - Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, Architecture Design, and basic networking considerations. - Advocate and implement best practices for version control, CI/CD pipelines, and deployment patterns. - Research emerging technologies and proactively identify areas for improvement. - Provide ongoing support, troubleshooting, and documentation for deployed solutions. - Deploy AI/ML models as part of compliance solutions, including model endpoints and integration with existing infrastructure. - Assist with data preparation, validation, and feature engineering for AI applications, ensuring high-quality inputs for model performance. - Educate and train clients on how to interpret and leverage AI-powered features and outputs. - Troubleshoot and monitor deployed AI solutions, identifying issues such as data drift, model degradation, or unexpected output, and escalate where necessary. Qualifications - Hands-on experience using GitHub for version control. - Familiarity with YAML syntax and Helm charts for application configuration and deployment. - Working knowledge of Kubernetes (no deep expertise required, but willingness to learn). - Experience writing shell scripts (e.g., Bash) for automation and troubleshooting. - Proficiency with SQL for data manipulation, reporting, and basic performance tuning. - Solid understanding of XML-based configurations and integrations. - Basic knowledge of SAML, SSO, and similar authentication and security protocols. - Familiarity with REST APIs and how they fit into broader integration strategies. - General understanding of networking fundamentals. - Excellent communication skills for client-facing interactions and the ability to explain complex concepts into clear, actionable guidance. - Demonstrated ability to manage multiple projects and adapt to shifting priorities. - Basic understanding of machine learning concepts and model deployment practices. - Ability to monitor AI solution performance and assist with troubleshooting and optimization. Nice-to-Have Experience - Experience with financial crime, AML, KYC, or fraud detection solutions. - Coding experience in one of the main modern languages: python, java, etc… - Understanding of DevOps, CI/CD, and cloud automation best practices. - Certification with any of the major cloud providers: GCP, AWS, Azure. - Understanding of AI model governance concepts such as explainability, auditability, and data privacy in production deployments. Company Description SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth verticals, including retail, consumer packaged goods, financial services, manufacturing, media, and business IT. SymphonyAI verticals have many leading enterprises as clients. Since its founding in 2017, SymphonyAI has grown rapidly to 2,000 talented leaders, data scientists, and other professionals across 35 countries. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from Dr. Romesh Wadhwani, a successful entrepreneur and philanthropist.

• Lead the development of Domino's internal AI-assisted reliability tooling, including systems that analyze tickets, logs, traces, and documentation to help teams resolve outages faster with less recurring toil • Improve the observability coverage and signal quality for our most critical customer-facing systems, so engineers have more to work with throughout the development and support lifecycle • Own incident response end-to-end, from detection to remediation, and leave each problem space better documented, better understood, and less likely to recur • Guide the development of customer and user-facing observability tools within our products • Define and mature SLO/SLI frameworks for priority services, turning abstract reliability goals into measurable, actionable standards • Scale cloud operations practices for Domino’s single-tenant SaaS offering, and work with engineering teams to improve the reliability and repeatability of customer deployments and upgrades • Mentor other engineers and shape how SRE is practiced at Domino, including incident response workflows, operational readiness expectations, and post-incident learning culture

• Leading design, architecture, and optimization for networking infrastructure & devices in Large scale DCs and/or Offices • Overseeing entire site deployment cycles from initial requirements to operational handover • Collaborating with cross-functional IT, security, and facility teams plus external vendors • Enforcing and maintaining robust technical documentation and architectural standards • Developing Python and/or Ansible scripts to drive network automation initiatives