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Manufacturing Engineer - External Supply Chain
Optimize manufacturing efficiency and reduce downtime with predictive insights, automated production scheduling, and real-time defect detection for factories.
Responsibilities:
Manage external supply chain engineering
Coordinate manufacturing processes
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Principal Product Operations Manager
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
8+ years of experience in Product Operations, TPM, or PM roles
Other Requirements:
Strong understanding of Agile methodologies
Deep hands-on experience with JIRA
Exceptional documentation skills
High operational rigor and attention to detail
Strong analytical ability to interpret product signals
Responsibilities:
Own and operate the end-to-end product execution cadence
Act as the central intake and triage function for customer issues
Design and manage structured intake mechanisms across JIRA boards
Serve as the single source of truth for product operational artifacts
Partner with Product Managers to support prioritization
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People Partner
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
8–10 years of experience in HR or People roles
Other Requirements:
Strong interpersonal and communication skills
Ability to handle sensitive conversations with empathy
Organized, proactive, and collaborative working style
Responsibilities:
Act as a go-to contact for employees and managers on people matters
Support leaders on basic to medium complexity people issues
Partner with HR Specialists for onboarding and exit interviews
Own learning and development initiatives end-to-end
Support performance conversations and employee engagement efforts
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Software Engineer
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Attractive compensation and benefits
Employee-friendly ESOP policies
Sacred value system (HEAT)
Collaborative and problem-solving environment
Experience Requirements:
3–5 years of experience in Java development
Other Requirements:
Strong knowledge of Java, Spring Boot, and REST APIs
Experience with relational and/or NoSQL databases
Familiarity with microservices architecture
Hands-on experience with Git and CI/CD pipelines
Responsibilities:
Develop and maintain backend applications using Java
Design and implement RESTful services and APIs
Work with cross-functional teams to define and deliver solutions
Write high-quality, maintainable, and testable code
Troubleshoot production issues and improve system reliability
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Pre-Sales Architect
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
10–15 years of experience in data engineering, architecture, or solutioning roles
Other Requirements:
Hands-on expertise with Python, SQL, Spark, and data pipelines
Excellent communication and storytelling skills
Ability to learn quickly and adapt to new domains
Strong experience in customer-facing or consultative environments
Responsibilities:
Partner with Sales to understand requirements and tailor demos
Own technical solutioning, demos, and PoVs during sales cycles
Address technical questions and validate architectures
Build and maintain scalable demo pipelines and reference architectures
Provide technical feedback to Product and mentor junior engineers
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Product Manager - Platform Integrations
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
4-6 years in data infrastructure
3+ years deep Snowflake or Databricks experience
Other Requirements:
Customer-facing technical background
Fluent in SQL, data modeling, and API design
Experience with enterprise data architecture patterns
Responsibilities:
Own integration roadmap: connectors, metadata sync, and governance
Run design partnerships with Snowflake/Databricks customers
Build positioning frameworks and deployment playbooks
Track ecosystem dynamics across Modern Data Stack
Define integration requirements and technical trade-offs with engineering
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Staff Engineer – Python
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
6+ years of experience building backend systems or platform services
Other Requirements:
Strong command of Python
Ability to design, build, and scale robust APIs
Solid understanding of system design principles
Proficient in SQL
Comfortable working in containerized environments (Docker, Kubernetes)
Responsibilities:
Design and implement scalable backend services and APIs in Python or Go
Build and maintain high-performance systems and data pipelines
Write clean, testable, modular code
Collaborate with DevOps, platform, and product teams
Participate in system design, code reviews, and architecture planning
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Analytics Engineer
Upgrade your data stack to deliver AI-ready data products and reduce time to market for enterprise analytics without moving or storing unnecessary raw data.
Benefits:
Competitive compensation with performance-based incentives
Comprehensive health and wellness benefits
Flexible time off and company holidays
Remote, hybrid, and flexible work options
Opportunities for rapid professional growth
Experience Requirements:
1-3 years of experience in Analytics Engineering, Data Engineering, or related roles
Other Requirements:
Advanced proficiency in SQL
Solid working knowledge of Python
Hands-on experience with Medallion Architecture
Experience with cloud data warehouses like Snowflake
Strong understanding of ELT/ETL concepts
Responsibilities:
Design and develop scalable data models and data products
Build and maintain analytical tools, frameworks, and reusable data assets
Perform rigorous QA testing, validation, and data quality checks
Develop and maintain BI assets including dashboards and semantic layers
Optimize performance of queries, transformations, and analytical workflows
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SAP EWM Developer / Consultant (m/f/d)
Optimize industrial performance and supply chain agility through an integrated ecosystem of AI-powered software, automated hardware, and expert consulting.
Benefits:
Flexible working hours
Remote work options
Ongoing training
Personal mentoring
International project environment
Education Requirements:
Degree in IT, logistics, or related field (HBO/university level)
Experience Requirements:
Solid experience with SAP tools (EWM, S/4HANA, ABAP, IDocs, BAPIs)
Other Requirements:
Strong grasp of logistics processes
Excellent communication skills
Fluent English
Dutch or German language skills are a plus
Responsibilities:
Deliver SAP EWM projects from concept to go-live
Turn complex business needs into technical solutions
Build, test, and deliver high-quality applications
Collaborate with clients and colleagues
Travel occasionally to customer sites
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SDE IV - Backend
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Benefits:
Comprehensive Benefits
Experience Requirements:
7-10 years of experience in building and delivering complex, scalable technical products
Extensive experience with distributed systems and microservices
Proven track record with real-time interactions (web sockets, long-polling)
Hands-on experience implementing security and data protection measures
Proficiency in advanced prompt engineering
Other Requirements:
Strong advocate for Test-Driven Development (TDD)
Proficiency in Go, Java, Node.js, or Python
Responsibilities:
Architect and optimize scalable microservices and APIs
Implement complex workflows using event-driven architectures like Kafka
Design and manage robust data models using SQL and NoSQL
Conduct thorough code reviews and mentor junior developers
Ensure system reliability via monitoring and logging solutions
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Staff Engineer – Core Platform
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Experience Requirements:
8+ years of experience in backend or platform engineering
Deep understanding of scalability, consistency, concurrency control, and fault tolerance
Strong experience building service-oriented architectures with APIs and event streams
Hands-on experience with Vector DBs (Weaviate, Pinecone, etc.)
Expertise in Go, Rust, Java, or Python
Other Requirements:
Solid understanding of SQL/NoSQL databases and caching systems
Experience with cloud-native architectures (Kubernetes, Istio, Terraform)
Responsibilities:
Architect and build low-latency, fault-tolerant distributed systems
Optimize system performance from network I/O to database indexing
Enable AI integrations by designing APIs for RAG and embeddings
Implement streaming and async systems like Kafka or Pulsar
Raise the bar for code quality, observability, and technical mentoring
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Platform Engineer
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Experience Requirements:
5–8 years of core DevOps experience building infrastructure from scratch
Deep expertise in Docker, Kubernetes, Helm, and container orchestration
Hands-on with Terraform, Crossplane, and declarative infrastructure management
Proven ability to deploy AI/LLMs and agent workflows reliably in production
Expertise with vector databases (tuning and scaling)
Other Requirements:
Proficiency in monitoring and logging tools (Prometheus, Grafana)
Proficiency in scripting/programming (Python, Bash, Go)
Knowledge of security best practices in cloud environments
Responsibilities:
Design, implement, and scale infrastructure across AWS, GCP, or Azure
Build and manage Kubernetes clusters and service mesh
Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins)
Define and track key metrics for AI/LLMs and agent workflows
Implement end-to-end tracing for multi-turn queries using OpenTelemetry
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SDE III - Backend
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Experience Requirements:
4+ years of experience in backend engineering
Strong backend programming skills like Java, Node.JS, or similar
Proven experience building and scaling distributed services, APIs, and event-driven systems
Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines
Experience integrating services with data stores and message queues
Other Requirements:
Experience working on AI-enabled or ML-integrated platforms preferred
Prior experience working in fast-paced, high-growth product teams
Responsibilities:
Design and build high-availability, low-latency services
Contribute to orchestration logic for tool invocation and session management
Integrate backend systems with AI components like language models
Identify and resolve performance bottlenecks and scalability challenges
Participate in design and architecture reviews and mentor junior engineers
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Lead Security Engineer
Automate complex banking resolutions and enhance member wellness for credit unions and community banks with agentic AI that ensures 24/7 financial-grade compliance.
Education Requirements:
Bachelor's degree in Computer Science, Information Security, or a related field.
Experience Requirements:
6+ years of experience in security engineering with a primary focus on application and cloud security
Proficiency with programming languages like Java, Python, JavaScript and SQL
In-depth knowledge of application security vulnerabilities and threat modeling
Deep familiarity with AWS security architecture and services
Experience with DevSecOps tools (SAST, DAST, container scanning)
Other Requirements:
Certifications such as OSCP, AWS Security Specialty, or CISSP preferred
Experience in high-compliance industries (financial services, healthcare) preferred
Responsibilities:
Perform security assessments across our application stack
Build and maintain secure SDLC practices
Design and maintain secure configurations for AWS environments
Champion a shift-left approach to security
Support compliance initiatives by building and documenting controls
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Junior Developer
Streamline social media growth for agencies and brands with AI content creation, multi-channel scheduling, and a unified inbox for seamless brand engagement.
Benefits:
Work directly on a globally recognized product
Gain mentorship and hands-on experience
Collaborative and learning-focused environment
Competitive compensation package
Education Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Experience Requirements:
Hands-on experience or academic exposure to React and Python
Familiarity with Laravel, and Vue/React is a strong plus
Other Requirements:
Strong understanding of web development fundamentals
Good problem-solving skills
Ability to work on-site in Bahria Town Phase 4, Rawalpindi
Team-oriented attitude with excellent communication skills
Responsibilities:
Collaborate with senior developer on product features
Develop front-end interfaces using React
Build and maintain back-end services using Python, FastAPI, and Go
Work with MongoDB, ClickHouse and other databases
Debug, test, and document code
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Inbox Manager
Reduce employee attrition and boost engagement with AI-driven conversational surveys and predictive analytics designed for HR leaders in IT, BPM, and retail.
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Microsoft Power Platform & Automation Architect
Transform business operations with custom generative AI applications and expert-led data strategies designed to improve efficiency and accelerate revenue growth.
Experience Requirements:
8+ years of experience in solution architecture
2 years focused on Microsoft Power Platform (Power Apps, Power Automate, Dataverse, Power BI)
Proven track record designing enterprise-scale workflow and data integration solutions across Microsoft and SAP ecosystems
Understanding of SAP ECC or S/4HANA master data, validation rules, and common automation use cases
Experience with Azure Logic Apps, API Management, and SAP connectors/gateways
Other Requirements:
Proficiency in agile delivery, backlog management, and iterative development using tools such as Azure DevOps
Strong knowledge of data governance, security models, and change management in enterprise automation
Experience with Winshuttle migration projects or similar SAP data-automation modernization efforts (Preferred)
Microsoft Certified: Power Platform Solution Architect Expert or Azure Solutions Architect Expert (Preferred)
Responsibilities:
Lead design and implementation of Power Platform solutions
Architect modular, reusable frameworks for SAP master data loads with validation and security workflows
Define end-to-end architecture including Power Apps, Power Automate, Dataverse, and Azure connectors
Oversee technical design documents (FDD, TDD, SDD) and alignment with project objectives
Establish CI/CD pipelines, monitoring, and logging frameworks for Power Platform applications
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Data Lead
Optimize senior living operations and reduce caregiver burnout with AI-powered automation, predictive analytics, and data-driven insights for aging services.
Benefits:
Opportunity to work on cutting-edge AI projects with a meaningful impact on society
Collaborative and innovative work environment
Professional growth and development opportunities
Competitive salary and benefits package
Experience Requirements:
5–6 years of experience in managing data projects
Experience designing data architectures
Experience implementing end-to-end data solutions on Microsoft platform
Hands-on expertise in data warehousing
Expertise in ETL processes
Other Requirements:
Strong experience with Microsoft data stack (SQL Server, Azure Data Factory, etc.)
Excellent communication skills
Responsibilities:
Build and maintain data pipelines and data warehouse solutions
Design scalable and efficient data models
Collaborate with cross-functional teams and stakeholders
Manage data projects
Design data architectures
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Independent Part-time Contractor- Data Research Operations
Accelerate workforce planning and hiring with AI-powered 3D talent data that reveals candidate performance and potential for strategic recruiting teams.
Benefits:
Certificate
Letter of recommendation
Flexible work hours
5 days a week
Education Requirements:
Non BE/ B.Tech graduates
Experience Requirements:
relevant skills and interests
Other Requirements:
available for the work-from-home
can start immediately
Women wanting to start/restart their career
Responsibilities:
Carrying out data research activities on the internet or our proprietary system
Updating data fields using internal tools
Performing any other secondary data research activity as required
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Contract IT Support Engineer (US Shift)
Accelerate workforce planning and hiring with AI-powered 3D talent data that reveals candidate performance and potential for strategic recruiting teams.
Experience Requirements:
5-8 years of IT support or systems support experience
Strong hands-on experience with macOS and Windows laptops
Strong understanding of Google Workspace and Microsoft 365 Administration
Experience with MDM tools (Rippling, Intune, Jamf, Kandji)
Basic knowledge of networking (DNS, VPN, Wi-Fi)
Other Requirements:
Willing to work in the US shift timings
Strong communication and problem-solving skills
Experience with SOC 2, ISO 27001, or similar compliance frameworks
CompTIA Security+ and Google Cybersecurity Professional Certificates
Responsibilities:
Provide Level 1 & Level 2 support for macOS, Windows, applications, network, VPN, and SSO
Troubleshoot and resolve technical issues for users across multiple regions and time zones
Manage and resolve IT tickets with defined SLAs
Configure and provision laptops and devices using MDM tools
Create, modify and deactivate user accounts across business applications
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