System Soft Technologies

Role Description Client is building a new planning system and needs a Mulesoft Integration Engineer to assist. Mulesoft sits in an AWS environment. Kinaxis experience is a major plus. - Specialize in merging data from different sources, ensuring consistency and making the data accessible for users and systems through common data model definition and layer. - Designs, codes, tests, and documents new MuleSoft API platform components, including supporting applications and interfaces. - Supports cross-functional development activity in conjunction with other integration technology resources. - Develops and tests infrastructure components in Cloud and Edge-level environments. - Proactively monitors industry trends and identifies opportunities to implement new technologies. - Manages the DevOps pipeline deployment model. - Enables automated testing procedures. - Implements software in all environments. - Leverages containerization models and works with other engineers and architects to keep the architecture current. - Assists in the support and enhancement of applications. - Writes high-quality code compliant with regulations. - Collaborates with business systems data owners, product owners, and analysts to define requirements. Qualifications - Mulesoft Integration - AWS Requirements - Kinaxis (preferred)

Role Description Client is seeking a Senior Platform Engineer to help build a next-generation enterprise integration platform from the ground up. This team is leading a strategic initiative to re-platform away from MuleSoft and establish a scalable, cloud-native integration ecosystem built on modern microservices architecture. This role is focused on building the platform that enables integrations—not developing the integrations themselves. You will design and develop the foundational services, SDKs, observability capabilities, workflow orchestration, and platform tooling that enable internal teams to rapidly integrate with enterprise systems such as Salesforce, SAP, Coupa, and Kinaxis. The platform is currently in early infancy, MVP stage. - Design, build, and enhance core platform services using Python and microservices architectures. - Develop reusable SDKs, wrappers, and platform capabilities that accelerate integration development. - Build and support platform components including: - Event streaming and messaging (Kafka) - API management and governance - Secrets and configuration management - Observability, monitoring, and telemetry solutions - Workflow orchestration capabilities - Drive platform reliability, performance, and operational excellence. - Contribute to OpenTelemetry implementation and observability strategy. Qualifications - 7+ years of software engineering experience with strong Python development expertise. - Experience building cloud-native applications and microservices platforms. - Hands-on experience with Kafka or other event-driven architectures. - Strong understanding of API design, API gateways, and integration platform concepts. - Experience with monitoring, observability, and telemetry tooling such as Grafana and OpenTelemetry. - Knowledge of secrets management, configuration management, and platform security best practices. - Experience building developer-facing platforms, frameworks, SDKs, or shared engineering services. - Strong understanding of scalability, resiliency, and distributed systems design. Company Description

Role Description Remote - Only W2 - No Corp to Corp - Open to Sponsorship - Extensive development experience following the Application SDLC within an Application Engineering team. - Strong proficiency in Python as the primary programming language, with proven experience in developing, testing, and delivering multiple applications. - Azure PaaS experience preferred; however, strong Python expertise is the priority. Familiarity with Azure resources is still expected. Qualifications - Must be willing to quickly learn new skills as needed, including unfamiliar Azure cloud resources or ramping up on Python or Azure based on the defined skill set options. - Examples include gaining proficiency in Terraform and Azure Pipelines - these are not prerequisites but will be essential over time. - Learning will occur independently, with guidance and support from CPO Operations resources. Requirements - Demonstrates initiative, strong communication skills, critical thinking, and the ability to work independently to meet defined delivery deadlines. - This is essential for success in a remote role.

Role Description Our client is seeking experienced IT Operational Support Specialists (L2/L3) to join its IT Mergers & Acquisitions (M&A) Operations team, a globally distributed group responsible for supporting large-scale acquisition integrations. This team plays a critical role in assessing, stabilizing, and integrating IT environments for newly acquired organizations. The role combines hands-on operational support with project-based integration work, ensuring continuity of services from acquisition through full integration into client's enterprise systems. Client has recently completed acquisitions totaling ~10,000 employees globally, making this a high-impact, fast-paced environment. Key Responsibilities - IT Service Operations - Provide L2/L3 support across infrastructure, applications, and end-user environments during M&A integration - Ensure stability, availability, and continuity of IT services through transition phases - Support both on-prem and cloud environments - Incident & Request Management - Own and resolve incidents and service requests via ServiceNow in line with SLAs - Perform: - Triage & impact assessment - Root cause analysis - Resolution & escalation - Act as a key point of contact during critical incidents, coordinating across global teams - Provide hands-on support across: - Workstations & endpoints - Servers & infrastructure - User accounts & access - M&A Integration Support - Support infrastructure migrations and security remediation efforts - Assist with operational readiness for major integration milestones - Identify recurring/systemic issues and drive improvements - Partner with internal teams and vendors across acquired entities - Support hardware deployment and supply chain coordination - Governance & Documentation - Maintain and enhance: - Runbooks - Knowledge articles - Operational documentation - Ensure accurate ticketing and reporting data - Identify trends to inform integration strategy and remediation planning - Contribute to M&A operational data repository - Transition to Steady-State - Support handover to client core IT operations, including: - Documentation validation - Knowledge transfer - Post-transition stabilization - Technical Environment - Microsoft ecosystem (M365, Teams, SharePoint, Azure) - Enterprise infrastructure: - Servers, storage, backup - Endpoints and identity management - ITSM tools (ServiceNow preferred) - Exposure to networking concepts (no deep specialization required) Qualifications - 5-8+ years of experience in L2/L3 IT Support - Experience supporting enterprise environments (5K-10K+ users, global preferred) - Strong hands-on experience with: - End-user support (workstations, identity, M365 tools) - Infrastructure (servers, storage, backup, VDI) - Microsoft ecosystem (Teams, SharePoint, Azure) - Experience working in multi-vendor, global IT environments - Strong communication skills with both technical and non-technical stakeholders - Ability to manage multiple concurrent projects/issues in a fast-paced setting Requirements - Prior experience supporting M&A integrations or IT transformations - Exposure to both smaller organizations and large enterprise environments - Experience with: - ServiceNow or similar ITSM tools - ITIL-based service management - Cybersecurity and information security practices - Strong documentation skills (Visio diagrams, runbooks, SOPs) Notes for Recruiters (Important) - Top priority: Strong communication + adaptability (not just technical depth) - Must have true L2/L3 hands-on experience (not just ticket routing) - Look for candidates with: - Enterprise/global exposure - M&A or integration experience (big plus) - Ability to handle fast-changing environments

Role Description Oxford client is in need of a versatile Sr. Project Manager, to assist in a number of different projects, within the PMO. These will consist of both application and infrastructure projects, moreso slanting towards applications. - Need a strong Leader / communicator, who can work with various levels of the organization, and both business and IT teams to drive projects. - Client mostly waterfall in their methodology, with some projects being somewhat more iterative. Qualifications - Strong Project Management - Able to manage a variety of projects, including ERP, Application and Infrastructure projects - Work with Business and IT teams, and third-party vendors Requirements - PMP Certification would be a bonus, but need someone with strong methodology / process acumen - Broad IT PM Expertise - Ability to manage projects across multiple functional areas, including Applications, Infrastructure, Cybersecurity, etc., preferably in a waterfall environment, but broader experience is welcome. - Strong Communication - Skilled at engaging stakeholders across all levels and functions, with the ability to create clear documentation and straightforward status updates. - Risk & Budget Management - Expertise in mitigating risks proactively and managing budgets/resources effectively. - Leadership - Ability to lead cross-functional teams and drive accountability with a bias toward action. Benefits - Initial Duration: 6-12 months, plus extension - Remote / EST timezone (Nearshore Candidates) - Target Start: mid-April

Role Description Our client is looking for a PowerBI engineer to build dashboards and reports related to S4 transformation. They are looking for someone with hands-on experience working across multiple common data layers. - Client is building out their data platform and need a Power BI developer to generate new reports. - This person will design and prepare data for visualization as appropriate for the use case, performance, and security. - Provide qualitative and descriptive metadata to support a robust data catalog. - Provide input on key business data sets to Data Intelligence Manager to help establish roadmap for certified data plan. - Apply data architecture best practices when querying or modeling data for both relational and NoSQL databases. - Support release and QA activities for data pipelines & dashboards enhancements, including the development and execution of testing strategies. Qualifications - Hands-on experience with Power BI and building dashboards and reports. - Databricks. Requirements - Pharma experience. - Experience with Jira.

Role Description Milvian is building its enterprise go to market presence in India and is hiring a senior sales leader based in Hyderabad to drive this effort. This role is suited for someone with experience selling into large enterprises that operate complex facilities across sectors such as commercial real estate, industrial, logistics, and infrastructure. The role combines enterprise sales execution with a builder mindset. You will develop relationships, drive early customer wins, and help establish Milvian's commercial presence in India. - Develop enterprise opportunities across campuses, commercial real estate, industrial facilities, logistics networks, and infrastructure environments - Build relationships with facilities leadership, operations teams, and sustainability stakeholders - Generate pipeline through industry networks, outbound engagement, and strategic account targeting - Present Aqueduct's value in improving facility performance, reducing utility waste, and increasing operational visibility - Manage the full sales cycle from initial conversations through pilots and commercial closure - Work closely with product and engineering teams during evaluations and deployments - Contribute to shaping Milvian's enterprise GTM motion in India Qualifications - Senior enterprise sales professional with experience selling into facilities, infrastructure, or operational environments - Strong understanding of building systems and facility operations - Familiarity with HVAC, energy systems, utilities, and building automation environments - Exposure to IoT platforms, analytics platforms, or building technology solutions - Proven ability to open and develop enterprise accounts - Comfortable working in a fast moving environment with high ownership

Role Description The OT Data Engineer will play a central role in building, scaling, and maintaining the data infrastructure that supports digital manufacturing, real-time operations, and advanced analytics across our pharmaceutical production network. This role focuses on integrating shop-floor systems, implementing a robust Unified Namespace (UNS) architecture, and leveraging HighByte Intelligence Hub to enable contextualized, reliable, and compliant data flows for manufacturing, quality, and business stakeholders. - Design, implement, and maintain a Unified Namespace (UNS) to standardize real-time data access across OT, IT, and enterprise systems. - Deploy and configure High Byte Intelligence Hub for data modeling, contextualization, transformation, and secure data movement between OT and cloud platforms. - Integrate data from PLC/SCADA systems, historians (e.g., PI, IP.21), MES, LIMS, and IoT devices into the UNS and analytics platforms. - Build and maintain data pipelines that support real-time monitoring, predictive analytics, digital twins, and process optimization. - Collaborate with automation, process engineering, quality, and IT teams to ensure 21 CFR Part 11, GxP, and data integrity compliance. - Develop and maintain data models, ontologies, and asset hierarchies aligned with ISA-95/ISA-88 standards. - Implement data governance, including metadata management, lineage tracking, and access control. - Support advanced analytics and machine learning initiatives by ensuring high-quality, contextualized data availability. - Troubleshoot data flow issues across OT/IT boundaries and optimize system performance. - Contribute to the roadmap for Industry 4.0, smart manufacturing, and digital transformation initiatives. Qualifications - Bachelor's degree in engineering, Computer Science, Information Systems, or related field. - 3-7 years of experience in OT data engineering, industrial data systems, or manufacturing IT. - Hands-on experience with: - Unified Namespace (UNS) architectures - HighByte Intelligence Hub (data modeling, flows, connectors) - MQTT brokers (Ignition, HiveMQ, EMQX) - Industrial protocols (OPC UA, Modbus, Ethernet/IP) - Strong understanding of pharma manufacturing environments, including GxP, validation, and data integrity requirements. - Proficiency in Python, SQL, and modern data engineering tools. - Experience with cloud platforms (Azure, AWS, or GCP) and edge-to-cloud architectures. - Experience with ISA-95/ISA-88 modeling and enterprise-to-shop-floor integration. - Knowledge of data analytics, statistical process control, or machine learning workflows. - Experience with Ignition, Kepware, or similar industrial middleware. - Familiarity with historians, MES, Tulip and automation systems. Skills and Ability - Strong problem-solving and root-cause analysis skills. - Ability to translate manufacturing needs into scalable data solutions. - Excellent communication skills for cross-functional collaboration. - Detail-oriented mindset with a focus on reliability and compliance. - Passion for digital transformation and modern OT/IT convergence.

Role Description Python developer with Azure. It is basically Python + Azure PaaS. - Extensive development experience following the Application SDLC within an Application Engineering team. - Strong proficiency in Python as the primary programming language, with proven experience in developing, testing, and delivering multiple applications. - Azure PaaS experience preferred; however, strong Python expertise is the priority. Familiarity with Azure resources is still expected. - Significant experience developing Azure PaaS cloud applications (e.g., Logic Apps, Function Apps, Durable Functions, Databricks, ADF, KeyVaults, ALDS/Storage Accounts). - Application SDLC experience within an Application Engineering team using .NET C# or PowerShell. Python is preferred but not mandatory if Azure PaaS expertise is strong. - Must be able to quickly ramp up in Python to perform assignments effectively. Qualifications - Adaptability: Must be willing to quickly learn new skills as needed, including unfamiliar Azure cloud resources or ramping up on Python or Azure based on the defined skill set options. - Examples include gaining proficiency in Terraform and Azure Pipelines - these are not prerequisites but will be essential over time. Learning will occur independently, with guidance and support from CPO Operations resources. - Self-Starter: Demonstrates initiative, strong communication skills, critical thinking, and the ability to work independently to meet defined delivery deadlines. This is essential for success in a remote role.

Role Description Client is seeking an experienced Data Spoke Technical Lead to support the People Data domain within a federated enterprise data organization. This role will serve as the primary liaison between business stakeholders, IT, data engineering, and data governance teams, ensuring successful delivery of People Data initiatives while driving governance adoption and technical alignment. This is primarily a technical leadership and coordination role (70%), with a focus on governance execution (20%) and limited hands-on technical support (10%). Responsibilities - Data Spoke Leadership & Delivery - Support execution of the People Data roadmap and priorities. - Manage intake, triage, prioritization, and tracking of data-related work requests. - Maintain and govern backlogs, ensuring alignment with business priorities and enterprise strategy. - Coordinate across business, IT, data engineering, and governance stakeholders. - Facilitate Agile ceremonies including backlog reviews, sprint planning, and status updates. - Provide visibility into delivery progress, risks, and dependencies. - Data Governance - Drive adoption of governance practices within the People domain. - Support metadata management, data ownership, stewardship, classification, and retention activities. - Partner with Data Owners and Data Stewards to execute governance responsibilities. - Monitor and report on governance and data quality KPIs. - Technical Leadership - Provide technical leadership for People Data solutions and assets. - Support SQL-based data modeling, including dimensional modeling and Slowly Changing Dimensions (SCD). - Guide data pipeline and integration initiatives using Azure Data Factory or similar technologies. - Support data warehouse and semantic model design. - Assist with troubleshooting and solution design in partnership with engineering teams. - Contribute to DevOps processes including backlog management, epics, and user stories. Qualifications - 10+ years of experience in Data Management, Data Engineering, Analytics, or Business Intelligence. - Experience working within enterprise data governance frameworks. - Proven experience leading or supporting a data domain or business-facing data function. - Strong experience operating within a hub-and-spoke or federated data model. - Demonstrated success coordinating across business, IT, data engineering, and governance teams. - Advanced SQL and data modeling expertise, including dimensional modeling and SCD concepts. - Experience with data pipelines and ingestion frameworks such as Azure Data Factory or equivalent. - Experience with data warehouse and semantic model design. - Strong stakeholder management, communication, and delivery coordination skills. - Experience with Agile delivery methodologies and DevOps backlog management. Preferred Qualifications - Experience supporting HR, People, Workforce, or Human Capital data domains. - Experience with Power BI, including data modeling, DAX, and reporting. - Familiarity with Azure Databricks and the broader Azure Data Platform ecosystem. - Working knowledge of C# or similar programming languages. - Experience with Collibra or other metadata management and data catalog tools. - Experience implementing data ownership, stewardship, and governance operating models. - Master's degree in Information Systems, Computer Science, Data Analytics, or a related discipline.