Intersog

• Team Unification. Consolidate the Landing Page Builder group into one coherent unit with a shared sprint board, shared priorities, and a single delivery cadence. End the fragmentation between workstreams and establish clear ownership across the team. • Scrum and Engineering Discipline. Implement Agile and Scrum practices that drive real behavioural change. Own story sizing, sprint commitments, burndowns, and retrospectives. Create an environment of predictability and accountability. • People Development. Build structured development plans for engineers. Invest in growing senior engineers into technical leaders. Provide consistent feedback and create the conditions for expanded ownership. • Hybrid Team and Vendor Management. Manage a team spanning engineers and external vendor developers. Hold all contributors to the same standards, manage the near-term vendor transition cleanly, and ensure knowledge transfer is prioritized throughout. • AI Builder Execution. Partner with the CTO to translate architectural direction into shippable sprint work for the AI-native product. The AI Builder is directionally critical to the business; execution discipline is non-negotiable. • Parallel Workstream Management. Balance delivery across the existing Builder and the AI Builder simultaneously. Manage prioritization tension with clear judgment and ensure both workstreams receive the engineering attention they require at each stage. • Cross-Functional Partnership. Serve as a credible engineering voice in planning conversations with Product and senior leadership. Provide clear engineering input into roadmap conversations.

Role Description The Engineering Manager, Landing Page Builder is the operational and people leader for the LPB group. This is an execution role, not a strategy-setting role. The CTO sets architectural direction; this hire translates that direction into sprint work, holds the team accountable to delivery, and builds the engineering culture the group needs to scale. The role works closely with the CTO, the VP of Product, Engineering Managers, and the Director of Data & AI/ML Engineering. Senior technical leadership will be available to support the incoming hire through onboarding onto the AI Builder workstream, ensuring a strong foundation from the outset. The team comprises full-time engineers and embedded external developers across two workstreams: the existing Builder product and the AI Builder. Total team size is approximately 7 engineers, with the expectation of that composition evolving as the product transition progresses. Responsibilities - Team Unification: Consolidate the Landing Page Builder group into one coherent unit with a shared sprint board, shared priorities, and a single delivery cadence. - Scrum and Engineering Discipline: Implement Agile and Scrum practices that drive real behavioural change. - People Development: Build structured development plans for engineers and invest in growing senior engineers into technical leaders. - Hybrid Team and Vendor Management: Manage a team spanning engineers and external vendor developers. - AI Builder Execution: Partner with the CTO to translate architectural direction into shippable sprint work for the AI-native product. - Parallel Workstream Management: Balance delivery across the existing Builder and the AI Builder simultaneously. - Cross-Functional Partnership: Serve as a credible engineering voice in planning conversations with Product and senior leadership. Qualifications - 7–12 years of engineering experience, with 3+ years managing teams of 8 or more in a SaaS product environment. - Proven track record leading engineering teams through a legacy-to-modern product transition. - Demonstrated experience shipping AI-powered or agentic features in production. - Experience managing hybrid teams of full-time staff and embedded vendor or contractor developers. - Track record of developing senior engineers into technical leaders. - Modern engineering discipline: Agile and Scrum done properly, CI/CD maturity, code review culture. - Comfortable working alongside a CTO in a clear division of responsibilities. Requirements - Enough technical depth to earn credibility and make informed design decisions. - Fluent in agile delivery, knows when to run the process and when to cut it. - Hands-on familiarity with AI/ML tooling in a product integration context. - Understands CI/CD, observability, and what production-ready actually means. - Can read and reason about code, but not expected to ship it.

• Lead discovery workshops and technical assessments with customers. • Analyze current Microsoft Dynamics environments and understand existing customizations, integrations, and processes. • Identify migration opportunities, risks, and dependencies. • Define and present high-level solution designs and migration approaches. • Collaborate with sales teams during pre-sales activities and provide technical guidance. • Document findings, recommendations, and proposed architectures. • Support planning for: - Environment setup - Code upgrade strategy - Data migration and cloud migration - Warehouse implementation - Testing and User Acceptance Testing (UAT) - Training activities - Mock go-live and cutover planning • Work closely with delivery and implementation teams to ensure a smooth transition from design to execution. • Participate in customer presentations and provide technical expertise throughout the sales cycle.

Role Description We are seeking a Pre-Sales Solution Engineer to support a new U.S.-based client on Microsoft Dynamics modernization and migration initiatives. This role is ideal for a hands-on technical professional who can work closely with customers during the early phases of an engagement, understand their current systems, and help define the best migration strategy. The ideal candidate combines technical knowledge with strong communication skills and is comfortable leading discovery sessions, analyzing existing environments, and translating business and technical requirements into solution designs. This is not an architect-level position; we are seeking an engineer with practical experience and a consultative mindset. What You'll Lead and Build - Lead discovery workshops and technical assessments with customers. - Analyze current Microsoft Dynamics environments and understand existing customizations, integrations, and processes. - Identify migration opportunities, risks, and dependencies. - Define and present high-level solution designs and migration approaches. - Collaborate with sales teams during pre-sales activities and provide technical guidance. - Document findings, recommendations, and proposed architectures. - Support planning for: - Environment setup - Code upgrade strategy - Data migration and cloud migration - Warehouse implementation - Testing and User Acceptance Testing (UAT) - Training activities - Mock go-live and cutover planning - Work closely with delivery and implementation teams to ensure a smooth transition from design to execution. - Participate in customer presentations and provide technical expertise throughout the sales cycle. Qualifications - Fluent English. - 3+ years of experience as a Solution Engineer, Systems Engineer, Technical Consultant, or in a similar role. - Hands-on experience with Microsoft Dynamics (Dynamics 365, AX, NAV, Business Central, or related products), including configuration, customization, integrations, troubleshooting, and supporting upgrade or migration initiatives. - Experience participating in ERP modernization, upgrade, or migration projects. - Ability to conduct discovery sessions and analyze existing business and technical environments. - Understanding of application architecture, APIs, integrations, databases, and cloud-based solutions. - Experience creating solution designs, technical documentation, and migration recommendations. - Familiarity with code upgrade strategies, data migration, and cloud migration approaches. - Knowledge of testing processes, User Acceptance Testing (UAT), and deployment activities. - Strong communication and presentation skills with customer-facing experience. - Ability to collaborate with sales, delivery, and engineering teams throughout the project lifecycle. Nice to Have - Experience with Microsoft Azure and cloud migrations. - Knowledge of data warehousing concepts and reporting solutions. - Experience with Microsoft Power Platform. - Exposure to enterprise architecture concepts. - Microsoft Dynamics certifications are a plus.

• Lead end-to-end delivery of data platform initiatives with full ownership of quality and documentation • Partner directly with stakeholders to define requirements and proactively communicate scope or technical impacts • Operate autonomously, escalating blockers with recommended solutions • Drive technical decisions and mentor peers on platform design and engineering best practices • Represent the engineering team confidently in cross-functional and stakeholder discussions

• Own data engineering projects end-to-end, ensuring quality and thorough documentation • Communicate directly with business and technical stakeholders to gather requirements and proactively manage scope changes • Work independently with minimal supervision while identifying blockers early and proposing solutions • Provide technical guidance and influence architecture and design decisions • Represent the engineering team professionally during stakeholder interactions

• Java Backend Service Development: Design, develop, and maintain scalable and resilient Java-based Kubernetes services using the Spring Boot framework and its code generation capabilities. Leverage Spring's robust features, such as dependency injection, data access, and web development, to build efficient and maintainable microservices. • Microservices Architecture: Design and implement new microservices, and enhance existing ones, adhering to best practices of microservices architecture. This entails utilizing message-based communication systems and effectively leveraging SDK clients or APIs for inter-service interaction. Additionally, employ efficient data querying techniques to retrieve information from diverse data systems and ensure transactional data integrity to ensure no instruction is lost. • Akka Actors and Distributed Systems: Design, Build, and test execution logic partitioned by akka actors. Develop new distributed systems designs as needed to support the volume of experiment requests in a laboratory. • Constraint Solvers: The core capability of the Orchestration Layer is solving a scheduling problem. The scheduling problem is created by an input experiment and the available inventory in a target laboratory. Choose the best algorithms and frameworks for the experiment request volume and the quantity of workcells and devices present in our client laboratories. • Execution Engine: Computing the execution plan for an input experiment is the first half of the Orchestration Layer. The second half is managing the execution of said plan. Design, Build, and test the execution engine in the Orchestration Layer. • Workcell Software Expertise: Gain a deep knowledge of the execution models and access patterns for Workcell Software Systems. The Orchestration Layer does not communicate directly with Workcell Software Systems but must generate execution plans and execute them in accordance with the current capabilities of Workcell Software Systems.

Intersog® is a Chicago-based provider of tailored software engineering solutions, offering dedicated development teams and custom software applications to help businesses meet their IT challenges. Our focus on innovation and efficiency allows us to partner effectively with clients across various industries. We are looking for a talented Java Software Engineer (BackEnd). Our client is looking to transform experiments into executable instructions for Workcells and devices. This is why we are looking for a dynamic Software Engineer to join our team. You will collaborate with a talented team of engineers and with cross-functional departments to deliver high-quality solutions that meet our clients' needs. If you're passionate about technology and creating user-centric applications, we want to hear from you! Responsibilities: - Java Backend Service Development: Design, develop, and maintain scalable and resilient Java-based Kubernetes services using the Spring Boot framework and its code generation capabilities. Leverage Spring's robust features, such as dependency injection, data access, and web development, to build efficient and maintainable microservices. - Microservices Architecture: Design and implement new microservices, and enhance existing ones, adhering to best practices of microservices architecture. This entails utilizing message-based communication systems and effectively leveraging SDK clients or APIs for inter-service interaction. Additionally, employ efficient data querying techniques to retrieve information from diverse data systems and ensure transactional data integrity to ensure no instruction is lost. - Akka Actors and Distributed Systems: Design, Build, and test execution logic partitioned by akka actors. Develop new distributed systems designs as needed to support the volume of experiment requests in a laboratory. - Constraint Solvers: The core capability of the Orchestration Layer is solving a scheduling problem. The scheduling problem is created by an input experiment and the available inventory in a target laboratory. Choose the best algorithms and frameworks for the experiment request volume and the quantity of workcells and devices present in our client laboratories. - Execution Engine: Computing the execution plan for an input experiment is the first half of the Orchestration Layer. The second half is managing the execution of said plan. Design, Build, and test the execution engine in the Orchestration Layer. - Workcell Software Expertise: Gain a deep knowledge of the execution models and access patterns for Workcell Software Systems. The Orchestration Layer does not communicate directly with Workcell Software Systems but must generate execution plans and execute them in accordance with the current capabilities of Workcell Software Systems.

• Design, build, and maintain infrastructure using **Terraform & Azure DevOps** [Ansible as Secondary objective] • Develop reusable modules for multi-environment deployments (dev, test, production) • Automate provisioning of Virtual machines (VMware / Hyper-V), Networking components (VLANs, firewalls, load balancers), Storage systems, Cloud resources (Azure/AWS if applicable) • Develop and maintain **Ansible playbooks and Terraform Plans, Azure pipelines and roles** • Automate OS provisioning and hardening, Application deployments, Patch management, Configuration drift remediation • Integrate Ansible/Terraform with CI/CD pipelines • Integrate automation workflows with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) • Build automated pipelines for infrastructure deployment and validation • Implement version control and change tracking for all automation artifacts • Support and automate Virtualization platforms (VMware ESXi / Hyper-V), Windows Server and/or Linux systems, Networking (routing, switching, firewall policies) • Work closely with infrastructure and security teams to ensure compliance • Automate monitoring deployment and alerting configurations • Improve system reliability through automation and self-healing scripts • Troubleshoot automation failures and infrastructure issues • Implement secure configurations aligned with NIST, ISO 27001, or similar frameworks • Automate security baselines and compliance checks • Manage secrets securely (e.g., Vault, Key Vault) • Develop and maintain Automation standards, SOPs and runbooks • Ensure all automation is Version-controlled, Documented and Auditable

Role Description We are seeking a highly skilled Automation Engineer to design, implement, and maintain infrastructure automation across our IT and OT environments. This role will focus on Infrastructure as Code (IaC), configuration management, and system orchestration using tools such as Terraform and Ansible. The ideal candidate is a hands-on engineer with strong experience in infrastructure, virtualization, networking, and automation who can drive efficiency, consistency, and scalability across multiple environments. - Infrastructure Automation & IaC - Design, build, and maintain infrastructure using Terraform & Azure DevOps [Ansible as Secondary objective] - Develop reusable modules for multi-environment deployments (dev, test, production) - Automate provisioning of Virtual machines (VMware / Hyper-V), Networking components (VLANs, firewalls, load balancers), Storage systems, Cloud resources (Azure/AWS if applicable) - Configuration Management & Orchestration - Develop and maintain Ansible playbooks and Terraform Plans, Azure pipelines and roles - Automate OS provisioning and hardening, Application deployments, Patch management, Configuration drift remediation - Integrate Ansible/Terraform with CI/CD pipelines - System Integration & DevOps Enablement - Integrate automation workflows with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) - Build automated pipelines for infrastructure deployment and validation - Implement version control and change tracking for all automation artifacts - Infrastructure & Platform Engineering - Support and automate Virtualization platforms (VMware ESXi / Hyper-V), Windows Server and/or Linux systems, Networking (routing, switching, firewall policies) - Work closely with infrastructure and security teams to ensure compliance - Monitoring, Logging & Reliability - Automate monitoring deployment and alerting configurations - Improve system reliability through automation and self-healing scripts - Troubleshoot automation failures and infrastructure issues - Security & Compliance - Implement secure configurations aligned with NIST, ISO 27001, or similar frameworks - Automate security baselines and compliance checks - Manage secrets securely (e.g., Vault, Key Vault) - Documentation & Standards - Develop and maintain Automation standards, SOPs and runbooks - Ensure all automation is Version-controlled, Documented and Auditable Qualifications - Bachelor’s degree in Computer Science, Engineering, or equivalent experience - 7+ years of hands-on experience in infrastructure or DevOps engineering - Strong experience with Terraform (advanced) / Ansible (advanced) - Experience with Virtualization (VMware ESXi, Hyper-V), Windows Server and/or Linux administration, Networking fundamentals (TCP/IP, VLANs, routing) Preferred Qualifications - Experience with Azure or AWS cloud platforms - CI/CD pipelines (Azure DevOps preferred) - Veeam Backup & Replication - Knowledge of OT/SCADA environments (highly desirable) - Cybersecurity frameworks (NERC CIP, IEC 62443) - Scripting experience - PowerShell, Python, Bash Soft Skills - Strong problem-solving and troubleshooting skills - Ability to work independently and own environments - Excellent documentation and communication skills - Detail-oriented with a focus on automation quality and reliability Work Conditions - Participation in on-call rotation and off-hours work when required - Support patching windows and deployment activities Nice-to-Have - Experience building end-to-end automated environments from scratch - Strong understanding of hybrid IT/OT infrastructure - Experience with infrastructure migration or transformation projects