Position: Aveva PI Project Manager Experience: 10-12 yrs Job Location: Remote Job Overview: We are looking for a Technical Project Manager with 10–12 years of experience leading complex digital transformation programs in industrial environments. This role sits at the intersection of technology and business, driving impactful solutions that deliver impactful solutions.The ideal candidate will have proven expertise in the AVEVA ecosystem, strong knowledge of digitalization strategies, and stakeholder alignment to deliver impactful solutions. The candidate will bring a client-focused approach, along with excellent verbal and written communication skills, to effectively manage projects and ensure successful outcomes. Roles and Responsibilities Lead end-to-end digitalization projects, leveraging AVEVA solutions like System Platform, MES, PI, HMI, SCADA, Insight, and Predictive Analytics. Partner with cross-functional teams—including engineering, operations, IT, and vendors—to define project scope, design architectures, and deliver high-quality digital solutions. Develop and manage project plans, timelines, budgets, risk analyses, resource allocation, and status reporting. Ensure technical feasibility, monitor risks, and maintain scope control, initiating change management as needed. Serve as client-facing lead: deliver project updates, communicate strategic direction, and build trust through clear, effective dialogue. Closely work with the Sales team. Facilitate solution architecture and hands-on implementation, potentially including AVEVA PI configurations (PI Data Archive, PI Asset Framework, PI Vision, etc.). Provide user training, perform post-implementation support, and create comprehensive documentation of system configurations and best practices. Orchestrate project close-out, ensuring deliverables, documentation, and lessons learned are finalized and shared. Skills Exceptional communication and client engagement—capable of leading meetings, delivering strategic updates, and aligning technical solutions with client objectives. Exceptional written Communication skills Leadership driven and client oriented ensuring project outcomes to client objectives Strategic thinker with strong problem-solving abilities and attention to detail under pressure. Skilled in project documentation, including functional specifications, design documents and test plans Proficient in managing conflict and negotiating timelines. Excellent organizational skills with the ability to manage multiple projects simultaneously while maintaining high quality and attention to detail. Collaborative team player with strong interpersonal skills Adaptable, collaborative, and adept at influencing cross-functional teams. Experience and Qualification 12–14 years in technical project management roles, ideally within industrial automation, digitalization, or AVEVA-focused environments. Hands-on expertise with multiple AVEVA products: e.g., System Platform, MES, PI System, SCADA, Digital Operations Control, Insight, Predictive Analytics, and more. Proven track record delivering complex digital transformation projects, including architecture design, system integration, and cutover execution. Strong knowledge of project management methodologies: Waterfall, Agile, Scrum, PMBOK standards, risk mitigation, stakeholder management, and resource planning. Technical fluency in industrial systems (SQL, .NET, DCS/PLC integration), and familiarity with AVEVA implementation practices. Expertise in training end users, troubleshooting system issues, and establishing governance documentation and standards. Bachelor’s or Master’s degree in Engineering, Computer Science, Industrial Automation, or related field. Certifications in project management (e.g., PMP, PRINCE2, Agile frameworks) are a plus. AVEVA certifications or hands-on experience with the CONNECT Ecosystem preferred. Work Timings Monday - Friday
Position: Aveva PI Project Manager Experience: 10-12 yrs Job Location: Remote Job Overview: We are looking for a Technical Project Manager with 10–12 years of experience leading complex digital transformation programs in industrial environments. This role sits at the intersection of technology and business, driving impactful solutions that deliver impactful solutions.The ideal candidate will have proven expertise in the AVEVA ecosystem, strong knowledge of digitalization strategies, and stakeholder alignment to deliver impactful solutions. The candidate will bring a client-focused approach, along with excellent verbal and written communication skills, to effectively manage projects and ensure successful outcomes. Roles and Responsibilities Lead end-to-end digitalization projects, leveraging AVEVA solutions like System Platform, MES, PI, HMI, SCADA, Insight, and Predictive Analytics. Partner with cross-functional teams—including engineering, operations, IT, and vendors—to define project scope, design architectures, and deliver high-quality digital solutions. Develop and manage project plans, timelines, budgets, risk analyses, resource allocation, and status reporting. Ensure technical feasibility, monitor risks, and maintain scope control, initiating change management as needed. Serve as client-facing lead: deliver project updates, communicate strategic direction, and build trust through clear, effective dialogue. Closely work with the Sales team. Facilitate solution architecture and hands-on implementation, potentially including AVEVA PI configurations (PI Data Archive, PI Asset Framework, PI Vision, etc.). Provide user training, perform post-implementation support, and create comprehensive documentation of system configurations and best practices. Orchestrate project close-out, ensuring deliverables, documentation, and lessons learned are finalized and shared. Skills Exceptional communication and client engagement—capable of leading meetings, delivering strategic updates, and aligning technical solutions with client objectives. Exceptional written Communication skills Leadership driven and client oriented ensuring project outcomes to client objectives Strategic thinker with strong problem-solving abilities and attention to detail under pressure. Skilled in project documentation, including functional specifications, design documents and test plans Proficient in managing conflict and negotiating timelines. Excellent organizational skills with the ability to manage multiple projects simultaneously while maintaining high quality and attention to detail. Collaborative team player with strong interpersonal skills Adaptable, collaborative, and adept at influencing cross-functional teams. Experience and Qualification 12–14 years in technical project management roles, ideally within industrial automation, digitalization, or AVEVA-focused environments. Hands-on expertise with multiple AVEVA products: e.g., System Platform, MES, PI System, SCADA, Digital Operations Control, Insight, Predictive Analytics, and more. Proven track record delivering complex digital transformation projects, including architecture design, system integration, and cutover execution. Strong knowledge of project management methodologies: Waterfall, Agile, Scrum, PMBOK standards, risk mitigation, stakeholder management, and resource planning. Technical fluency in industrial systems (SQL, .NET, DCS/PLC integration), and familiarity with AVEVA implementation practices. Expertise in training end users, troubleshooting system issues, and establishing governance documentation and standards. Bachelor’s or Master’s degree in Engineering, Computer Science, Industrial Automation, or related field. Certifications in project management (e.g., PMP, PRINCE2, Agile frameworks) are a plus. AVEVA certifications or hands-on experience with the CONNECT Ecosystem preferred. Work Timings Monday - Friday
Position: Data Engineer Experience: 2 Years + Job Location: Remote Working (WFH) About Us At Grassdoor Logistics Technologies, we are redefining the landscape of Cannabis commerce by developing a Unified Operations Center which provides seamless, technology-driven solutions tailored to the unique needs of Cannabis businesses. Our platform is built to empower brands with the tools they need to establish, manage, and scale their online and offline presence while ensuring smooth, efficient, and compliant operations. Our technology has been adopted by Stiiizy, the biggest brand in the Cannabis industry. Join us and be a part of the team that is going to take over Cannabis commerce in the US. Job Overview We are seeking a sharp and curious Data Engineer to join our team and drive data-backed decision- making across our cannabis supply chain. This role is perfect for someone who thrives at the intersection of operations and analytics, and who’s excited to work with a fast-moving, highly regulated product category.As our Data Engineer, you’ll dig into warehouse movements, deliveries, product velocity, inventory levels, and sales trends to uncover insights and help us optimize performance. You'll work closely with Supply Chain, Finance, Retail Ops, and Tech teams — leveraging tools like Amazon Redshift and Metabase to unlock the power of our data. Roles and Responsibilities ● Analyze cannabis supply chain and operations data across warehouses, retail locations, and delivery zones. ● Build dashboards and visualizations in Metabase to track KPIs like stock movement, shrink, velocity, and order fulfillment rates. ● Write complex SQL queries in Redshift to support deep-dive analytics, ad hoc reporting, and recurring metric updates. ● Partner with stakeholders in Logistics, Inventory Management, and Finance to answer business-critical questions. ● Monitor and QA data pipelines to ensure accuracy and reliability of reporting. ● Assist with forecasting, vendor analysis, and SKU performance evaluations. ● Recommend improvements in logistics, inventory, or sales processes based on your findings. Skills and Abilities ● 2 - 4+ years in an analytical role (ideally in supply chain, logistics, or operations). ● Proficiency in SQL and working with cloud data warehouses (Redshift preferred). ● Experience with Metabase or similar BI tools (e.g., Looker, Tableau). ● Understanding of cannabis-specific compliance, distribution, and inventory workflows is a major plus. ● Strong business acumen and an instinct for uncovering what matters in messy data. ● Ability to clearly communicate technical insights to both technical and non-technical stakeholders. ● Familiarity with cannabis seed-to-sale platforms (e.g., Metrc, BioTrack, LeafLink). ● Experience with ETL/ELT tools (e.g., dbt, Fivetran). ● Some knowledge of Python or R for advanced analytics or automation. ● Past work optimizing delivery networks or last-mile logistics. Work Timings: Monday- Friday Saturday, Sunday fixed off.
Position: Data Engineer Experience: 2 Years + Job Location: Remote Working (WFH) About Us At Grassdoor Logistics Technologies, we are redefining the landscape of Cannabis commerce by developing a Unified Operations Center which provides seamless, technology-driven solutions tailored to the unique needs of Cannabis businesses. Our platform is built to empower brands with the tools they need to establish, manage, and scale their online and offline presence while ensuring smooth, efficient, and compliant operations. Our technology has been adopted by Stiiizy, the biggest brand in the Cannabis industry. Join us and be a part of the team that is going to take over Cannabis commerce in the US. Job Overview We are seeking a sharp and curious Data Engineer to join our team and drive data-backed decision- making across our cannabis supply chain. This role is perfect for someone who thrives at the intersection of operations and analytics, and who's excited to work with a fast-moving, highly regulated product category.As our Data Engineer, you'll dig into warehouse movements, deliveries, product velocity, inventory levels, and sales trends to uncover insights and help us optimize performance. You'll work closely with Supply Chain, Finance, Retail Ops, and Tech teams leveraging tools like Amazon Redshift and Metabase to unlock the power of our data. Roles and Responsibilities ? Analyze cannabis supply chain and operations data across warehouses, retail locations, and delivery zones. ? Build dashboards and visualizations in Metabase to track KPIs like stock movement, shrink, velocity, and order fulfillment rates. ? Write complex SQL queries in Redshift to support deep-dive analytics, ad hoc reporting, and recurring metric updates. ? Partner with stakeholders in Logistics, Inventory Management, and Finance to answer business-critical questions. ? Monitor and QA data pipelines to ensure accuracy and reliability of reporting. ? Assist with forecasting, vendor analysis, and SKU performance evaluations. ? Recommend improvements in logistics, inventory, or sales processes based on your findings. Skills and Abilities ? 2 - 4+ years in an analytical role (ideally in supply chain, logistics, or operations). ? Proficiency in SQL and working with cloud data warehouses (Redshift preferred). ? Experience with Metabase or similar BI tools (e.g., Looker, Tableau). ? Understanding of cannabis-specific compliance, distribution, and inventory workflows is a major plus. ? Strong business acumen and an instinct for uncovering what matters in messy data. ? Ability to clearly communicate technical insights to both technical and non-technical stakeholders. ? Familiarity with cannabis seed-to-sale platforms (e.g., Metrc, BioTrack, LeafLink). ? Experience with ETL/ELT tools (e.g., dbt, Fivetran). ? Some knowledge of Python or R for advanced analytics or automation. ? Past work optimizing delivery networks or last-mile logistics. Work Timings: Monday- Friday Saturday, Sunday fixed off.
Position: L1 DevOps professional (Night Shift, Rotational) Experience: 2 - 4 years Job Location: Remote (Night Shift, Rotational) About Us At Grassdoor Logistics Technologies, we are redefining the landscape of Cannabis commerce by developing a Unified Operations Center which provides seamless, technology-driven solutions tailored to the unique needs of Cannabis businesses. Our platform is built to empower brands with the tools they need to establish, manage, and scale their online and offline presence while ensuring smooth, efficient, and compliant operations. Our technology has been adopted by Stiiizy, the biggest brand in the Cannabis industry. Join us and be a part of the team that is going to take over Cannabis commerce in the US. Job Overview: We are seeking an L1 DevOps professional responsible for monitoring and maintaining the health, performance, and availability of servers and RDS instances during the night shift, ensuring timely incident response and smooth operations. Roles and Responsibilities: 1. Server & RDS Monitoring Monitor CPU, Memory, Disk, Network utilization for Linux/Windows servers. Track RDS metrics: CPU utilization, Connections, IOPS, Free Storage, Latency, Deadlocks, Query performance. Check CloudWatch dashboards/alarms or any monitoring tools like Datadog, Grafana, Zabbix, Nagios. 2. Incident Management Respond to alerts during night shift and perform first-level troubleshooting. Restart services, check logs, validate connectivity, and apply temporary fixes where required. Create incident tickets and escalate to relevant teams (DBA, DevOps, Infra) when needed. 3. Performance Analysis Analyze resource spikes, slow queries, or abnormal behavior. Perform trend analysis and share daily performance reports. Recommend optimization (instance resize, storage upgrade, index suggestions—basic level). 4. Backup & Maintenance Checks Verify RDS automated backups, snapshots, and retention policies. Check server patching status, scheduled maintenance windows, and backup job completion. 5. Log Monitoring Review application logs, error logs, slow query logs, and OS logs. Identify repeated failures or patterns during night hours. 6. Security & Access Monitor unauthorized access attempts, expired keys, or failed login attempts. Ensure compliance with access control procedures. 7. Documentation Maintain shift handover notes, incident summaries, and monitoring SOPs. Update runbooks for standard troubleshooting steps. Experience and Qualifications: Experience with AWS RDS (MySQL/PostgreSQL/SQL Server). Knowledge of CloudWatch, Datadog, Grafana, Nagios, Zabbix, or similar tools. Basic SQL knowledge for checking performance (slow queries, locks, status). Strong understanding of Linux/Windows server administration basics. Experience in incident management and ticketing tools (Jira, ServiceNow). Good communication skills for handover & escalation. Ability to work independently during night shift. Preferred Skills Basic knowledge of AWS services: EC2, ELB, VPC, IAM, S3. Understanding of RDS failover, Multi-AZ, read replicas. Work Timings: Rotational Shift Night Shift
Position: L1 DevOps professional (Night Shift, Rotational) Experience: 2 - 4 years Job Location: Remote (Night Shift, Rotational) About Us At Grassdoor Logistics Technologies, we are redefining the landscape of Cannabis commerce by developing a Unified Operations Center which provides seamless, technology-driven solutions tailored to the unique needs of Cannabis businesses. Our platform is built to empower brands with the tools they need to establish, manage, and scale their online and offline presence while ensuring smooth, efficient, and compliant operations. Our technology has been adopted by Stiiizy, the biggest brand in the Cannabis industry. Join us and be a part of the team that is going to take over Cannabis commerce in the US. Job Overview: We are seeking an L1 DevOps professional responsible for monitoring and maintaining the health, performance, and availability of servers and RDS instances during the night shift, ensuring timely incident response and smooth operations. Roles and Responsibilities: 1. Server & RDS Monitoring Monitor CPU, Memory, Disk, Network utilization for Linux/Windows servers. Track RDS metrics: CPU utilization, Connections, IOPS, Free Storage, Latency, Deadlocks, Query performance. Check CloudWatch dashboards/alarms or any monitoring tools like Datadog, Grafana, Zabbix, Nagios. 2. Incident Management Respond to alerts during night shift and perform first-level troubleshooting. Restart services, check logs, validate connectivity, and apply temporary fixes where required. Create incident tickets and escalate to relevant teams (DBA, DevOps, Infra) when needed. 3. Performance Analysis Analyze resource spikes, slow queries, or abnormal behavior. Perform trend analysis and share daily performance reports. Recommend optimization (instance resize, storage upgrade, index suggestionsbasic level). 4. Backup & Maintenance Checks Verify RDS automated backups, snapshots, and retention policies. Check server patching status, scheduled maintenance windows, and backup job completion. 5. Log Monitoring Review application logs, error logs, slow query logs, and OS logs. Identify repeated failures or patterns during night hours. 6. Security & Access Monitor unauthorized access attempts, expired keys, or failed login attempts. Ensure compliance with access control procedures. 7. Documentation Maintain shift handover notes, incident summaries, and monitoring SOPs. Update runbooks for standard troubleshooting steps. Experience and Qualifications: Experience with AWS RDS (MySQL/PostgreSQL/SQL Server). Knowledge of CloudWatch, Datadog, Grafana, Nagios, Zabbix, or similar tools. Basic SQL knowledge for checking performance (slow queries, locks, status). Strong understanding of Linux/Windows server administration basics. Experience in incident management and ticketing tools (Jira, ServiceNow). Good communication skills for handover & escalation. Ability to work independently during night shift. Preferred Skills Basic knowledge of AWS services: EC2, ELB, VPC, IAM, S3. Understanding of RDS failover, Multi-AZ, read replicas. Work Timings: Rotational Shift Night Shift
Position: AVEVA PI Analytics Engineer Experience: 4–7 years Job Location: Remote Job Overview: We are seeking an AVEVA PI Analytics Engineer with 4–7 years of experience. Responsible for developing analytics and calculations in the AVEVA PI System to transform raw data into meaningful operational and business insights. Roles and Responsibilities Design and implement analytics using: o PI Asset Framework (AF) o PI Analysis Service o Aveva Advanced Analysis o Aveva Predictive Analysis Develop calculations and KPIs for: o Equipment performance o Quality metrics (e.g., SPC/SQC) o Production and yield metrics o Energy and utilities monitoring and more Create and manage Event Frames for operational events Validate analytics with business and process stakeholders Optimize analysis performance and execution schedules Support visualization teams with correct KPI definitions Skills 4–8 years in industrial automation and PI System implementations Strong experience with AVEVA PI System, PI AF and Advanced Analysis Service Solid understanding of data analysis and industrial KPIs Basic knowledge of statistics and process analysis Ability to translate requirements into analytical logic Work Timings Monday - Friday
Position: AVEVA PI Interface and Integration Engineer Experience: 4–8 years Job Location: Remote Job Overview: We are seeking an AVEVA PI Interface and Integration Engineer with 4–8 years of experience to support the integration of industrial data sources into the AVEVA PI System.The role focuses on ensuring reliable, secure, and high-quality data acquisition from automation and enterprise systems Roles and Responsibilities Design, configure, and maintain PI Interfaces for: o OPC DA / OPC UA / OPC HDA o Modbus TCP o RDBMS / OLEDB o UFL and Other interfaces Work with DCS, PLC, and SCADA systems to acquire process data Perform interface sizing, scan class tuning, buffering, and failover configuration Implement tag naming standards, units, and metadata Monitor and troubleshoot data quality issues such as gaps, bad values, and latency Support historical data migration from legacy systems where required Collaborate with AF, Analytics, and Visualization teams Skills 4–7 years in analytics, manufacturing intelligence, or PI-based analysis Strong background in industrial automation (DCS, PLC, SCADA) Hands-on experience with AVEVA PI System and PI Interfaces Knowledge of industrial communication protocols (OPC, Modbus, OLEDB) Basic understanding of PI Data Archive and PI System architecture Work Timings Monday - Friday
Position: AVEVA PI Vision Dashboard Engineer Experience: 5–6 years Job Location: Remote Job Overview: We are seeking an AVEVA PI Vision Dashboard Engineer with 5–6 years of experience. The ideal candidate must be responsible for designing and developing intuitive, role-based dashboards using AVEVA PI Vision for operational, engineering, and management users. Roles and Responsibilities Design and build dashboards in PI Vision Develop visualizations for: o Process monitoring o Asset performance o Quality and energy KPIs Apply UI/UX best practices for industrial environments Create navigation structures, drill-downs, and time-based views Ensure dashboards are performant and easy to use Incorporate user feedback and continuously improve dashboard design Skills 5–6 years in PI Vision, industrial dashboards, or operational BI tools Hands-on experience with AVEVA PI Vision Strong understanding of industrial dashboard design Awareness of UI/UX principles (clarity, usability, consistency) Experience working with real-time and historical data Work Timings Monday - Friday