About Us: We’re building a powerful Data Analytics Engine to transform raw market and historical data into actionable intelligence in the electronics supply chain industry. We’re now looking to bring on a full-time Data Engineer to help us accelerate and scale up our pipeline development. Job Overview: We’re seeking a hands-on Data Engineer to design, build, and optimize scalable ETL pipelines in AWS. You will take over and expand an existing pipeline currently being transitioned from prototype code (Python-based) into production-ready infrastructure. You’ll collaborate with our engineering team who will support and advise you in this transition. This is a key role with strong ownership in shaping and scaling our data infrastructure to support real-time analytics and ML/AI-driven features. Responsibilities: Build, deploy, and maintain scalable ETL pipelines for millions of data records in AWS (using tools such as AWS Glue, Step Functions S3 and PostgreSQL). Implement and manage pipeline orchestration using AWS Step Functions, transitioning towards automated execution Collaborate with the ML and product team to integrate Python-based data cleaning and anomaly detection modules into the ETL pipeline. Automate and optimize jobs with CI/CD workflows, ensuring performance, observability, and reliability. Design and manage data lakes or warehouse schemas optimized for analytics and ML. Implement robust data quality checks, versioning, and validation steps. Work closely with our engineering team who will provide architectural support. Nice to Have: Contribute to Infrastructure as Code (CDKTF) efforts for environment management. Required Qualifications: Minimum 4 years of experience as a Data Engineer or in a similar backend/data role. Proven experience building data pipelines and ETL workflows in AWS. Strong programming skills in Python. Experience working with relational databases like PostgreSQL, Redshift, or similar. Familiarity with CI/CD tools and infrastructure-as-code (e.g., Terraform, AWS CDK, CloudFormation). Understanding of basic ML/AI workflows and how to support them with data engineering. Preferred Qualifications: Experience working in AWS or other cloud environments such as Azure or GCP. Background in data science or knowledge of ML model deployment and feature engineering. Familiarity with GitHub Actions, Docker, or serverless computing models. Exposure to large-scale data processing tools like Spark, Airflow, or dbt. What We Offer: Opportunity to work on impactful problems with real-world applications in electronics supply chain intelligence. Direct mentorship from experienced engineers and AI product leads. A flexible, startup-friendly environment where your ideas and execution matter. Competitive compensation and the chance to grow with the company. Industry Business Intelligence Platforms Employment Type Full-time
About the Role We are looking for two highly skilled and experienced Front-End React Developers to join our growing product engineering team. As a senior front-end developer, you will be responsible for designing and building high-performance, scalable, and user-friendly applications using modern front-end technologies. You will work closely with designers, backend engineers, and product managers to deliver exceptional user experiences. Key Responsibilities Application Development: Develop, enhance, and maintain complex React-based web applications. Architect reusable components, UI patterns, and frameworks for scalable applications. Collaboration & Design: Collaborate with UX/UI designers to convert wireframes and visual designs into interactive applications. Work closely with backend teams to integrate APIs and ensure smooth data flow. Performance & Quality: Optimize application performance for maximum speed and scalability. Write clean, maintainable, and testable code following best practices. Conduct thorough code reviews and mentor junior developers. Innovation & Continuous Improvement: Stay updated with emerging front-end technologies and frameworks. Contribute to continuous improvements in development workflows, testing practices, and deployment processes. Required Skills and Qualifications Core Expertise: Minimum 5+ years of professional experience in front-end development. Strong proficiency in React.js, Redux (or Zustand, Recoil, or similar state management libraries). Excellent knowledge of modern JavaScript (ES6+), TypeScript, HTML5, and CSS3 (including preprocessors like SASS or LESS). Ecosystem & Tools: Experience with Next.js or similar frameworks is a strong plus. Familiarity with component libraries (e.g., Material UI, Ant Design, TailwindCSS) and design systems. Proficient in using build tools such as Vite, Webpack, or similar. Understanding of RESTful APIs, GraphQL, and JSON data structures. Quality Focus: Hands-on experience with testing frameworks (Jest, React Testing Library, Cypress). Knowledge of code quality, CI/CD pipelines, Git, and Agile development practices. Soft Skills: Strong problem-solving and debugging skills. Ability to work independently and in a team environment. Excellent communication and collaboration skills. Preferred Qualifications Experience with micro-frontend architectures. Exposure to server-side rendering (SSR) and static site generation (SSG). Knowledge of responsive, cross-browser, and accessibility (WCAG) best practices. Familiarity with cloud platforms (AWS/Azure/GCP) and DevOps tools is a plus. Education Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). What We Offer Opportunity to work on cutting-edge applications in a fast-growing technology company. Competitive salary and comprehensive benefits package. Collaborative and innovative work environment. Professional growth through training, mentorship, and challenging projects.
About the Role We are looking for an experienced DevOps Engineer to join our engineering team. This role involves setting up, managing, and scaling development, staging, and production environments both on AWS cloud and on-premise (open source stack) . You will be responsible for CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows for our enterprise applications and AI platform. Key Responsibilities Infrastructure Setup & Management Design and implement cloud-native architectures on AWS and be able to manage on-premise open source environments when required . Automate infrastructure provisioning using tools like Terraform or CloudFormation. Maintain scalable environments for dev, staging, and production . CI/CD & Release Management Build and maintain CI/CD pipelines for backend, frontend, and AI workloads. Enable automated testing, security scanning, and artifact deployments. Manage configuration and secret management across environments. Containerization & Orchestration Manage Docker-based containerization and Kubernetes clusters (EKS, self-managed K8s) . Implement service mesh, auto-scaling, and rolling updates. Monitoring, Security, and Reliability Implement observability (logging, metrics, tracing) using open source or cloud tools. Ensure security best practices across infrastructure, pipelines, and deployed services. Troubleshoot incidents, manage disaster recovery, and support high availability. Model DevOps / MLOps Set up pipelines for AI/ML model deployment and monitoring (LLMOps). Support data pipelines, vector databases, and model hosting for AI applications. Required Skills and Qualifications Cloud & Infra Strong expertise in AWS services : EC2, ECS/EKS, S3, IAM, RDS, Lambda, API Gateway, etc. Ability to set up and manage on-premise or hybrid environments using open source tools. DevOps & Automation Hands-on experience with Terraform / CloudFormation . Strong skills in CI/CD tools such as GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD. Containerization & Orchestration Expertise with Docker and Kubernetes (EKS or self-hosted). Familiarity with Helm charts, service mesh (Istio/Linkerd). Monitoring / Observability Tools Experience with Prometheus, Grafana, ELK/EFK stack, CloudWatch . Knowledge of distributed tracing tools like Jaeger or OpenTelemetry. Security & Compliance Understanding of cloud security best practices . Familiarity with tools like Vault, AWS Secrets Manager. Model DevOps / MLOps Tools (Preferred) Experience with MLflow, Kubeflow, BentoML, Weights & Biases (W&B) . Exposure to vector databases (pgvector, Pinecone) and AI pipeline automation . Preferred Qualifications Knowledge of cost optimization for cloud and hybrid infrastructures . Exposure to infrastructure as code (IaC) best practices and GitOps workflows. Familiarity with serverless and event-driven architectures . Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). What We Offer Opportunity to work on modern cloud-native systems and AI-powered platforms . Exposure to hybrid environments (AWS and open source on-prem). Competitive salary, benefits, and growth-oriented culture.
About the Role We are seeking a Software Quality Control (SQC) Engineer to ensure the quality and reliability of our applications. This role will focus primarily on manual testing, detailed test planning, documenting test cases, filing and tracking defects, and working closely with product managers and engineering teams to deliver high-quality releases. Some exposure to automation tools is preferred for assisting with regression and repetitive testing. Key Responsibilities Test Planning & Documentation Understand product requirements and create detailed test plans, test scenarios, and test cases . Maintain comprehensive and up-to-date documentation for test coverage. Manual Testing Execute functional, regression, integration, usability, performance, and load testing . Perform thorough exploratory testing and log defects with clear reproducible steps. Defect Management Use defect tracking tools (e.g., Jira, Azure DevOps, Trello) to log, prioritize, and track bugs. Work with engineering teams to reproduce issues and verify fixes. Collaboration Partner with engineering and product managers throughout the development lifecycle to ensure quality standards are met. Provide regular feedback on application quality and user experience. Automation Assistance (Preferred) Contribute to basic automation test scripts or support automation engineers for repetitive regression tasks. Familiarity with testing frameworks (Selenium, Cypress, Playwright, etc.) is a plus. Continuous Improvement Proactively recommend process improvements and testing best practices . Stay updated with evolving testing techniques and tools. Required Skills and Qualifications 3–6 years of experience in software testing and quality control . Strong skills in manual testing , including regression, functional, integration, performance, and load testing. Familiarity with defect tracking tools such as Jira, Bugzilla, or similar. Strong documentation skills : writing detailed test plans and test cases. Knowledge of SDLC, STLC, Agile/Scrum methodologies . Good understanding of basic SQL queries for test data validation. Preferred Qualifications Some exposure to automation testing tools such as Selenium, Cypress, or Playwright. Knowledge of API testing tools such as Postman or Swagger. Familiarity with performance/load testing tools (JMeter, Locust). ISTQB/QA certification is a plus. Soft Skills Strong analytical skills and attention to detail. Excellent communication and documentation abilities. Ability to collaborate with cross-functional teams and manage priorities in fast-paced environments. Education Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field. What We Offer Opportunity to work on high-impact applications with a dedicated engineering and product team. Competitive salary, comprehensive benefits, and growth opportunities. Collaborative, quality-focused work environment.
About the Role We are looking for an experienced Technical Writer to join our product and engineering teams. This role involves creating clear, comprehensive, and user-friendly documentation for our applications, developer APIs, and integration workflows. You will work closely with engineers, product managers, and designers to produce documentation that empowers users and developers to use our platform effectively. Key Responsibilities Documentation Creation Write and maintain end-user guides, technical documentation, API reference docs, and integration guides . Ensure that all documentation is clear, concise, structured, and up-to-date. Produce quick start guides, tutorials, FAQs, and release notes . API Documentation Collaborate with engineers to document REST/GraphQL APIs using tools such as Swagger/OpenAPI . Provide code samples, request/response examples, and integration workflows. Collaboration & Process Work closely with product managers and engineers to understand requirements, workflows, and new features. Participate in scrum meetings and design sessions to anticipate documentation needs early. Content Management Own the documentation lifecycle, including organization, versioning, and publishing . Establish and maintain a documentation style guide and best practices . Tooling and Delivery Use modern documentation tools for authoring, collaboration, and publishing. Manage online documentation portals and knowledge bases for external and internal audiences. Required Skills and Qualifications Technical Writing Expertise 4+ years of experience as a technical writer or documentation specialist . Ability to explain complex technical concepts in simple, structured documentation . Domain Knowledge Experience documenting enterprise applications, APIs, and integrations . Familiarity with REST APIs, GraphQL, JSON data structures , and software development workflows. Modern Documentation Tools (Experience in several of these)Markdown / AsciiDoc / reStructuredText Swagger / OpenAPI / Postman / Redocly for API documentation Confluence / Notion / GitBook / ReadTheDocs / Docusaurus Static site generators (Hugo, MkDocs, Jekyll) for docs-as-code Version control systems (Git/GitHub) Soft Skills Excellent written and verbal communication. Detail-oriented, with strong organizational and planning skills. Ability to work independently and as part of a cross-functional team. Preferred Qualifications Experience with docs-as-code workflows integrated with CI/CD. Exposure to developer-focused documentation (SDKs, APIs, libraries). Familiarity with UX writing principles . Education Bachelor’s degree in English, Communications, Computer Science, or a related field (or equivalent experience). What We Offer Opportunity to create world-class documentation for enterprise users and developers . Collaborative environment with direct access to product managers, designers, and engineers . Competitive salary, benefits, and growth opportunities.
About the Role We are looking for a Senior AI Engineer to join our AI Platform team and play a critical role in designing, developing, and scaling next-generation AI-driven applications . You will work on Generative AI (GenAI), Agentic AI systems, AI-driven workflows, and intelligent automation , bringing together LLMs, RAG (Retrieval-Augmented Generation), embeddings, and model refinement techniques into production-ready solutions. This is a hands-on role that combines AI/ML expertise, software engineering skills, and product thinking to deliver intelligent enterprise applications. Key Responsibilities AI Application Development Design and build end-to-end AI applications , including prompt engineering, chaining, and orchestration. Implement agentic AI systems that can reason, plan, and execute workflows. Integrate AI with existing enterprise workflows and systems. LLMs and RAG Pipelines Develop RAG pipelines (embedding, vector search, retrieval) for contextual, domain-specific AI applications. Work with LLM APIs and open-source models (OpenAI, Anthropic, Llama, etc.) , and fine-tune or adapt models to domain requirements. Optimize context injection, prompt construction, and multi-turn conversational flows. Model Evaluation & Refinement Continuously evaluate AI model outputs and refine performance through prompt tuning, fine-tuning, and RLHF or similar techniques. Establish automated pipelines for model monitoring, feedback collection, and iterative improvements . Platform & Engineering Work with vector databases (pgvector, Pinecone, Weaviate, etc.), knowledge graphs, and embeddings at scale. Build API endpoints and microservices that expose AI capabilities in a scalable, production-grade manner. Ensure observability, logging, versioning, and A/B testing for AI services. Collaboration Collaborate with product managers, data engineers, and software engineers to define AI-driven features. Stay current with emerging trends in AI/ML, LLM architectures, and multi-agent systems . Required Skills and Qualifications Core Expertise Minimum 5+ years of experience in AI/ML engineering with a focus on applied AI solutions. Hands-on experience with LLMs (OpenAI, Anthropic, Hugging Face, etc.) and prompt engineering. Strong experience building RAG pipelines with embeddings and vector search . Software Engineering Proficiency in Python (FastAPI/Flask), or Java/Spring Boot for AI service development . Knowledge of microservices, APIs, and cloud-native architectures (AWS/GCP/Azure) . Data & Vector Systems Familiarity with pgvector, Pinecone, Weaviate, Milvus, or similar vector databases . Experience with data preprocessing, cleaning, and knowledge management for AI applications. AI Ops & Lifecycle Strong understanding of MLOps/LLMOps principles : model deployment, monitoring, retraining, and lifecycle management. Ability to evaluate AI outputs and incorporate feedback loops for model improvement. Soft Skills Problem-solving, analytical thinking, and a passion for innovation. Excellent communication and collaboration skills. Preferred Qualifications Experience building agentic AI systems or autonomous multi-agent workflows . Exposure to knowledge graphs and reasoning systems . Background in NLP, transformers, embeddings, and vector similarity search . Contributions to open-source AI/ML projects . Education Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. What We Offer Opportunity to build an AI platform from the ground up , shaping the future of enterprise AI. Work with cutting-edge AI technologies and research. Competitive compensation and benefits. A collaborative environment that values innovation and experimentation.
About the Role We are looking for a Systems Integration Engineer to join our Z2 Enterprise platform team. This role focuses on integrating enterprise systems (PLM, ERP, CRM, etc.) such as Agile PLM, Teamcenter, Windchill, SAP, Salesforce, and others , building bi-directional connectors and integration flows . You will be responsible for enabling smooth data synchronization between Z2 Enterprise and external enterprise applications through APIs, middleware, and ETL pipelines. Key Responsibilities Integration Design & Development Analyze requirements and design integration workflows between Z2 Enterprise and external systems (PLM, ERP, CRM). Develop connectors, APIs, and middleware services to enable bi-directional data exchange. Implement real-time (API/webhook) and batch/scheduled data flows . System Connectivity & APIs Work with REST, SOAP, OData, GraphQL APIs , and message queues to integrate heterogeneous systems. Understand and leverage vendor-specific APIs for Agile PLM, Teamcenter, Windchill, SAP, Salesforce, etc. Data Transformation & Synchronization Map and transform data models and schemas between different enterprise systems. Ensure data quality, consistency, and conflict resolution during integration. Monitoring & Maintenance Set up monitoring, logging, and alerting for integration pipelines. Troubleshoot and resolve integration failures in a timely manner. Collaboration Partner with product managers, enterprise architects, and engineering teams to define integration strategies. Document APIs, workflows, and best practices. Required Skills and Qualifications Enterprise Systems Expertise Hands-on experience with PLM systems (Agile PLM, Teamcenter, Windchill, etc.) . Familiarity with ERP (SAP, Oracle EBS, NetSuite) and CRM (Salesforce, Dynamics 365) . Integration & API Development Strong experience with RESTful and SOAP API design and consumption . Familiarity with API management platforms (Mulesoft, Boomi, Dell Boomi, Apigee, etc.) or custom middleware. Knowledge of message brokers (Kafka, RabbitMQ, ActiveMQ) . Programming & Data Skills Proficiency in Java, Spring Boot, or Node.js for building integration services. Experience with ETL processes, JSON/XML data transformation , and schema mapping. Security & Best Practices Knowledge of authentication/authorization standards (OAuth2, SAML, SSO) . Strong debugging and problem-solving skills. Preferred Qualifications Experience working with large-scale enterprise integration projects . Familiarity with iPaaS (Integration Platform as a Service) tools . Understanding of enterprise data modeling and master data management (MDM) concepts. Exposure to cloud services (AWS, Azure, GCP) for hosting integrations. Education Bachelor’s degree in Computer Science, Engineering, or related field. What We Offer Work on complex, high-impact integrations between Z2 Enterprise and global enterprise systems. Competitive salary and comprehensive benefits. A collaborative, cross-functional work environment. Opportunities to work on cutting-edge integration technologies and enterprise architectures .
About the Role We are seeking a Senior Backend Engineer with expertise in Java, Spring Boot, API design, security, and data infrastructure . This role combines backend development with strong data engineering skills , including ETL pipelines, search/indexing systems (Elastic or similar), reporting flows, and scaling PostgreSQL databases . You will be responsible for designing and implementing secure, high-performance backend services while also building data capabilities that support analytics and business insights. Key Responsibilities Backend Services & Architecture Design, develop, and maintain backend services and APIs using Java and Spring Boot . Architect solutions for scalability, performance, and reliability in a microservices/cloud environment. Data Infrastructure & ETL Design and implement ETL pipelines to ingest, transform, and serve data for analytics and reporting. Work on setting up and managing Elasticsearch (or OpenSearch) clusters for search and analytics . Build reporting and data flow pipelines that integrate transactional and analytical data. Database Performance & Scaling Optimize PostgreSQL schemas, queries, and indexes for high-performance data access. Plan for horizontal and vertical scaling, partitioning, and caching strategies for large data volumes. Monitor and resolve database bottlenecks. API Design & Data Access Build robust, secure, and versioned REST APIs (GraphQL experience is a plus). Ensure proper data governance, security, and access control in all backend services. Security & Best Practices Implement strong security practices (Spring Security, OAuth2, JWT). Enforce best practices for code quality, CI/CD, and cloud-native deployments. Collaboration & Mentorship Partner with product managers, frontend engineers, and data analysts. Mentor junior developers and participate in architecture reviews. Required Skills and Qualifications Core Backend Skills 5+ years of experience in backend development with Java and Spring Boot . Strong understanding of object-oriented programming, design patterns, and microservices . Data Engineering / Infrastructure Expertise Hands-on experience building ETL pipelines for reporting and analytics. Experience with Elasticsearch / OpenSearch or similar indexing/search systems . Expertise in PostgreSQL performance tuning, indexing, partitioning, and scaling strategies . API Design & Cloud Proficiency in RESTful API design ; GraphQL experience preferred. Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD. Security & Performance Experience with Spring Security, OAuth2, SSO . Knowledge of profiling, monitoring, and optimizing backend systems. Preferred Qualifications Knowledge of distributed data processing systems (Kafka, Spark, Airflow) . Experience with data warehouses, OLAP tools, or BI/reporting solutions . Exposure to cloud-native data services (AWS RDS, Aurora, OpenSearch, etc.) . Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). What We Offer Opportunity to work on mission-critical backend systems and data infrastructure . Competitive salary and comprehensive benefits package. Collaborative and innovative work environment with modern tools and processes.
About the Role Were building a next-generation Data Analytics Engine that transforms raw market and historical data into actionable intelligence for the electronics supply chain industry. Our platform ingests, processes, and analyzes high-volume data across suppliers, parts, and trends powering real-time insights and ML-driven applications. We are looking for a highly experienced Lead or Staff Data Engineer to help us shape and scale our core data infrastructure. The ideal candidate brings a proven track record of designing and delivering scalable ETL pipelines and real-time data systems in AWS and open-source environments (e.g., Airflow, Spark, Kafka). This role requires deep technical ownership and leadership to enhance our architecture, implement best practices, and guide junior engineers. Key Responsibilities Design, implement, and optimize scalable ETL pipelines for billions of records using AWS-native tools (Glue, Step Functions, S3, PostgreSQL). Migrate and evolve existing pipelines toward open-source orchestration tools such as Apache Airflow and Kafka . Lead data lake and data warehouse architecture design for analytics and ML workflows. Own and maintain CI/CD workflows ensuring reliability, observability, and deployment automation. Implement data validation, schema evolution, anomaly detection, and data quality checks . Contribute to Infrastructure as Code (Terraform, AWS CDK) for reproducible deployments. Provide technical mentorship , make architectural decisions, and establish best practices. Required Qualifications 8+ years of experience as a Data Engineer or similar role with production ownership. Expertise in AWS tools : Glue, Step Functions, S3, Athena, Lambda. Deep knowledge of open-source data stack : Apache Airflow, Spark, Kafka, dbt. Strong Python programming skills for modular workflows and automation. Expert-level SQL and experience with PostgreSQL (or similar databases). Experience with CI/CD tools (GitHub Actions, Jenkins, etc.). Familiarity with Infrastructure as Code : Terraform, AWS CDK, or CloudFormation. Ability to mentor engineers and lead architectural decisions . Preferred Qualifications Background in ML/AI pipelines or feature engineering . Experience with serverless technologies or containerized deployments (Docker, Lambda). Familiarity with data observability tools and alerting systems . Education Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience). What We Offer Opportunity to work on impactful, real-world problems in supply chain intelligence. Direct mentorship from experienced engineers and AI product leads. A flexible, startup-friendly environment where your contributions matter. Competitive compensation and opportunities for career growth. Show more Show less
About the Role We are looking for an experienced Technical Writer to join our product and engineering teams. This role involves creating clear, comprehensive, and user-friendly documentation for our applications, developer APIs, and integration workflows. You will work closely with engineers, product managers, and designers to produce documentation that empowers users and developers to use our platform effectively. Key Responsibilities Documentation Creation Write and maintain end-user guides, technical documentation, API reference docs, and integration guides . Ensure that all documentation is clear, concise, structured, and up-to-date. Produce quick start guides, tutorials, FAQs, and release notes . API Documentation Collaborate with engineers to document REST/GraphQL APIs using tools such as Swagger/OpenAPI . Provide code samples, request/response examples, and integration workflows. Collaboration & Process Work closely with product managers and engineers to understand requirements, workflows, and new features. Participate in scrum meetings and design sessions to anticipate documentation needs early. Content Management Own the documentation lifecycle, including organization, versioning, and publishing . Establish and maintain a documentation style guide and best practices . Tooling and Delivery Use modern documentation tools for authoring, collaboration, and publishing. Manage online documentation portals and knowledge bases for external and internal audiences. Required Skills and Qualifications Technical Writing Expertise 4+ years of experience as a technical writer or documentation specialist . Ability to explain complex technical concepts in simple, structured documentation . Domain Knowledge Experience documenting enterprise applications, APIs, and integrations . Familiarity with REST APIs, GraphQL, JSON data structures , and software development workflows. Modern Documentation Tools (Experience in several of these)Markdown / AsciiDoc / reStructuredText Swagger / OpenAPI / Postman / Redocly for API documentation Confluence / Notion / GitBook / ReadTheDocs / Docusaurus Static site generators (Hugo, MkDocs, Jekyll) for docs-as-code Version control systems (Git/GitHub) Soft Skills Excellent written and verbal communication. Detail-oriented, with strong organizational and planning skills. Ability to work independently and as part of a cross-functional team. Preferred Qualifications Experience with docs-as-code workflows integrated with CI/CD. Exposure to developer-focused documentation (SDKs, APIs, libraries). Familiarity with UX writing principles . Education Bachelors degree in English, Communications, Computer Science, or a related field (or equivalent experience). What We Offer Opportunity to create world-class documentation for enterprise users and developers . Collaborative environment with direct access to product managers, designers, and engineers . Competitive salary, benefits, and growth opportunities. Show more Show less
About the Role We are seeking a Software Quality Control (SQC) Engineer to ensure the quality and reliability of our applications. This role will focus primarily on manual testing, detailed test planning, documenting test cases, filing and tracking defects, and working closely with product managers and engineering teams to deliver high-quality releases. Some exposure to automation tools is preferred for assisting with regression and repetitive testing. Key Responsibilities Test Planning & Documentation Understand product requirements and create detailed test plans, test scenarios, and test cases . Maintain comprehensive and up-to-date documentation for test coverage. Manual Testing Execute functional, regression, integration, usability, performance, and load testing . Perform thorough exploratory testing and log defects with clear reproducible steps. Defect Management Use defect tracking tools (e.g., Jira, Azure DevOps, Trello) to log, prioritize, and track bugs. Work with engineering teams to reproduce issues and verify fixes. Collaboration Partner with engineering and product managers throughout the development lifecycle to ensure quality standards are met. Provide regular feedback on application quality and user experience. Automation Assistance (Preferred) Contribute to basic automation test scripts or support automation engineers for repetitive regression tasks. Familiarity with testing frameworks (Selenium, Cypress, Playwright, etc.) is a plus. Continuous Improvement Proactively recommend process improvements and testing best practices . Stay updated with evolving testing techniques and tools. Required Skills and Qualifications 36 years of experience in software testing and quality control . Strong skills in manual testing , including regression, functional, integration, performance, and load testing. Familiarity with defect tracking tools such as Jira, Bugzilla, or similar. Strong documentation skills : writing detailed test plans and test cases. Knowledge of SDLC, STLC, Agile/Scrum methodologies . Good understanding of basic SQL queries for test data validation. Preferred Qualifications Some exposure to automation testing tools such as Selenium, Cypress, or Playwright. Knowledge of API testing tools such as Postman or Swagger. Familiarity with performance/load testing tools (JMeter, Locust). ISTQB/QA certification is a plus. Soft Skills Strong analytical skills and attention to detail. Excellent communication and documentation abilities. Ability to collaborate with cross-functional teams and manage priorities in fast-paced environments. Education Bachelors degree in Computer Science, Engineering, Information Technology, or related field. What We Offer Opportunity to work on high-impact applications with a dedicated engineering and product team. Competitive salary, comprehensive benefits, and growth opportunities. Collaborative, quality-focused work environment. Show more Show less
About the Role We are looking for an experienced DevOps Engineer to join our engineering team. This role involves setting up, managing, and scaling development, staging, and production environments both on AWS cloud and on-premise (open source stack) . You will be responsible for CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows for our enterprise applications and AI platform. Key Responsibilities Infrastructure Setup & Management Design and implement cloud-native architectures on AWS and be able to manage on-premise open source environments when required . Automate infrastructure provisioning using tools like Terraform or CloudFormation. Maintain scalable environments for dev, staging, and production . CI/CD & Release Management Build and maintain CI/CD pipelines for backend, frontend, and AI workloads. Enable automated testing, security scanning, and artifact deployments. Manage configuration and secret management across environments. Containerization & Orchestration Manage Docker-based containerization and Kubernetes clusters (EKS, self-managed K8s) . Implement service mesh, auto-scaling, and rolling updates. Monitoring, Security, and Reliability Implement observability (logging, metrics, tracing) using open source or cloud tools. Ensure security best practices across infrastructure, pipelines, and deployed services. Troubleshoot incidents, manage disaster recovery, and support high availability. Model DevOps / MLOps Set up pipelines for AI/ML model deployment and monitoring (LLMOps). Support data pipelines, vector databases, and model hosting for AI applications. Required Skills and Qualifications Cloud & Infra Strong expertise in AWS services : EC2, ECS/EKS, S3, IAM, RDS, Lambda, API Gateway, etc. Ability to set up and manage on-premise or hybrid environments using open source tools. DevOps & Automation Hands-on experience with Terraform / CloudFormation . Strong skills in CI/CD tools such as GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD. Containerization & Orchestration Expertise with Docker and Kubernetes (EKS or self-hosted). Familiarity with Helm charts, service mesh (Istio/Linkerd). Monitoring / Observability Tools Experience with Prometheus, Grafana, ELK/EFK stack, CloudWatch . Knowledge of distributed tracing tools like Jaeger or OpenTelemetry. Security & Compliance Understanding of cloud security best practices . Familiarity with tools like Vault, AWS Secrets Manager. Model DevOps / MLOps Tools (Preferred) Experience with MLflow, Kubeflow, BentoML, Weights & Biases (W&B) . Exposure to vector databases (pgvector, Pinecone) and AI pipeline automation . Preferred Qualifications Knowledge of cost optimization for cloud and hybrid infrastructures . Exposure to infrastructure as code (IaC) best practices and GitOps workflows. Familiarity with serverless and event-driven architectures . Education Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience). What We Offer Opportunity to work on modern cloud-native systems and AI-powered platforms . Exposure to hybrid environments (AWS and open source on-prem). Competitive salary, benefits, and growth-oriented culture. Show more Show less
As a highly skilled and experienced Front-End React Developer, you will be a key member of our growing product engineering team. Your primary responsibility will be to design and build high-performance, scalable, and user-friendly applications using modern front-end technologies. You will collaborate closely with UX/UI designers, backend engineers, and product managers to ensure exceptional user experiences are delivered. Your key responsibilities will include developing, enhancing, and maintaining complex React-based web applications. You will architect reusable components, UI patterns, and frameworks to create scalable applications. Collaborating with UX/UI designers to convert wireframes and visual designs into interactive applications will be an essential part of your role. Additionally, you will work with backend teams to integrate APIs and ensure smooth data flow. To ensure optimal application performance, you will optimize for speed and scalability while following best practices to write clean, maintainable, and testable code. Conducting thorough code reviews and mentoring junior developers will also be part of your responsibilities. Staying updated with emerging front-end technologies and frameworks will be crucial, as you will contribute to continuous improvements in development workflows, testing practices, and deployment processes. To excel in this role, you should have a minimum of 5+ years of professional experience in front-end development. Proficiency in React.js, Redux (or similar state management libraries), modern JavaScript, TypeScript, HTML5, and CSS3 is required. Experience with Next.js or similar frameworks, component libraries, build tools, RESTful APIs, GraphQL, and testing frameworks is highly beneficial. Soft skills such as problem-solving, teamwork, communication, and collaboration are also essential. Preferred qualifications include experience with micro-frontend architectures, server-side rendering, static site generation, responsive design, cross-browser compatibility, accessibility best practices, and familiarity with cloud platforms and DevOps tools. A Bachelor's degree in Computer Science, Engineering, or a related field is preferred. In return, we offer you the opportunity to work on cutting-edge applications in a fast-growing technology company. You will receive a competitive salary and comprehensive benefits package, work in a collaborative and innovative environment, and have opportunities for professional growth through training, mentorship, and challenging projects.,
You will be part of a team responsible for developing a next-generation Data Analytics Engine that converts raw market and historical data into actionable insights for the electronics supply chain industry. This platform processes high-volume data from suppliers, parts, and trends to provide real-time insights and ML-driven applications. We are seeking an experienced Lead or Staff Data Engineer to assist in shaping and expanding our core data infrastructure. The ideal candidate should have a strong background in designing and implementing scalable ETL pipelines and real-time data systems in AWS and open-source environments such as Airflow, Spark, and Kafka. This role involves taking technical ownership, providing leadership, improving our architecture, enforcing best practices, and mentoring junior engineers. Your responsibilities will include designing, implementing, and optimizing scalable ETL pipelines using AWS-native tools, migrating existing pipelines to open-source orchestration tools, leading data lake and data warehouse architecture design, managing CI/CD workflows, implementing data validation and quality checks, contributing to Infrastructure as Code, and offering technical mentorship and guidance on architectural decisions. To qualify for this role, you should have at least 8 years of experience as a Data Engineer or similar role with production ownership, expertise in AWS tools, deep knowledge of open-source data stack, strong Python programming skills, expert-level SQL proficiency, experience with CI/CD tools, familiarity with Infrastructure as Code, and the ability to mentor engineers and drive architectural decisions. Preferred qualifications include a background in ML/AI pipelines, experience with serverless technologies and containerized deployments, and familiarity with data observability tools and alerting systems. A Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field is preferred. In return, you will have the opportunity to work on impactful supply chain intelligence problems, receive mentorship from experienced engineers and AI product leads, work in a flexible and startup-friendly environment, and enjoy competitive compensation with opportunities for career growth.,
About the Role We are looking for an experienced DevOps Engineer to join our engineering team. This role involves setting up, managing, and scaling development, staging, and production environments both on AWS cloud and on-premise (open source stack) . You will be responsible for CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows for our enterprise applications and AI platform. Key Responsibilities Infrastructure Setup & Management Design and implement cloud-native architectures on AWS and be able to manage on-premise open source environments when required . Automate infrastructure provisioning using tools like Terraform or CloudFormation. Maintain scalable environments for dev, staging, and production . CI/CD & Release Management Build and maintain CI/CD pipelines for backend, frontend, and AI workloads. Enable automated testing, security scanning, and artifact deployments. Manage configuration and secret management across environments. Containerization & Orchestration Manage Docker-based containerization and Kubernetes clusters (EKS, self-managed K8s) . Implement service mesh, auto-scaling, and rolling updates. Monitoring, Security, and Reliability Implement observability (logging, metrics, tracing) using open source or cloud tools. Ensure security best practices across infrastructure, pipelines, and deployed services. Troubleshoot incidents, manage disaster recovery, and support high availability. Model DevOps / MLOps Set up pipelines for AI/ML model deployment and monitoring (LLMOps). Support data pipelines, vector databases, and model hosting for AI applications. Required Skills and Qualifications Cloud & Infra Strong expertise in AWS services : EC2, ECS/EKS, S3, IAM, RDS, Lambda, API Gateway, etc. Ability to set up and manage on-premise or hybrid environments using open source tools. DevOps & Automation Hands-on experience with Terraform / CloudFormation . Strong skills in CI/CD tools such as GitHub Actions, Jenkins, GitLab CI/CD, or ArgoCD. Containerization & Orchestration Expertise with Docker and Kubernetes (EKS or self-hosted). Familiarity with Helm charts, service mesh (Istio/Linkerd). Monitoring / Observability Tools Experience with Prometheus, Grafana, ELK/EFK stack, CloudWatch . Knowledge of distributed tracing tools like Jaeger or OpenTelemetry. Security & Compliance Understanding of cloud security best practices . Familiarity with tools like Vault, AWS Secrets Manager. Model DevOps / MLOps Tools (Preferred) Experience with MLflow, Kubeflow, BentoML, Weights & Biases (W&B) . Exposure to vector databases (pgvector, Pinecone) and AI pipeline automation . Preferred Qualifications Knowledge of cost optimization for cloud and hybrid infrastructures . Exposure to infrastructure as code (IaC) best practices and GitOps workflows. Familiarity with serverless and event-driven architectures . Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). What We Offer Opportunity to work on modern cloud-native systems and AI-powered platforms . Exposure to hybrid environments (AWS and open source on-prem). Competitive salary, benefits, and growth-oriented culture.
About the Roles We are seeking a Senior Backend Engineer with expertise in Java, Spring Boot, Python (FastAPI), API design, security, and enterprise platform development . This role focuses on building robust, scalable, and secure backend services that power the Z2 Enterprise Platform , enabling rich functionality across supply chain applications, user workflows, and AI-driven features. In addition to traditional backend responsibilities, this role includes integrating with Generative AI systems and LLMs , building API endpoints for intelligent assistants, enabling search and indexing via systems like Elasticsearch , and supporting scalable PostgreSQL-based persistence layers. You’ll work closely with frontend, DevOps, product, and AI/ML teams to deliver enterprise-grade capabilities with modern architectural patterns. You will be responsible for designing and implementing secure, high-performance, and extensible backend components that support multi-tenant, microservices-based enterprise applications — while also embedding AI-powered workflows and intelligent features using LLMs and vector stores. The ideal candidate combines deep backend engineering skills with a strong product mindset, and is excited about delivering AI-native enterprise features at scale . Key Responsibilities Backend Services & Architecture Design, develop, and maintain backend services and APIs using Java (Spring Boot) and Python (FastAPI) . Architect systems for scalability, security, and performance in microservices/cloud-native environments. Implement modular service layers to support domain logic, integrations, and cross-cutting concerns. Database Performance & Scaling Optimize PostgreSQL schemas, queries, indexes, and connections for high-performance data access. Architect scalable data models and sharding/partitioning strategies for large datasets. Proactively monitor and troubleshoot database performance bottlenecks . API Design & Data Access Build secure, versioned RESTful APIs (GraphQL experience is a plus) for web, mobile, and AI integrations. Implement structured API contracts with proper governance, validation, and observability. Ensure data access follows RBAC/ABAC principles and supports multi-tenant contexts. LLM & AI Integration Integrate with LLM platforms (OpenAI, Anthropic, Hugging Face, etc.) to expose AI-powered capabilities via backend services. Build RAG (Retrieval-Augmented Generation) flows and streaming pipelines to support GenAI workflows. Collaborate with AI/ML engineers to expose model endpoints, prompt templates, and feedback loops via APIs. Manage vector databases (e.g., pgvector, Pinecone ) and embed AI inference into core platform services. Security & Best Practices Implement strong authentication/authorization using Spring Security, JWT, OAuth2, and SSO. Enforce backend security best practices , API rate-limiting, and protection against common vulnerabilities (OWASP). Drive code quality through unit testing, static analysis, and CI/CD workflows . Collaboration & Mentorship Collaborate with product managers, frontend engineers, DevOps, and AI/ML teams to define architecture and roadmap. Mentor junior developers and conduct code reviews and design walkthroughs . Contribute to technical documentation, RFCs, and system design artifacts . Required Skills and Qualifications Core Backend Skills 5+ years of backend development experience with Java (Spring Boot) and Python (FastAPI or Flask) . Strong understanding of object-oriented design , microservices , and distributed systems. Data Engineering / Infrastructure Expertise Experience building and managing ETL pipelines for large-scale data ingestion. Strong experience with Elasticsearch / OpenSearch , schema design, indexing, and tuning. Deep knowledge of PostgreSQL performance optimization, scaling, partitioning , and replication. API Design & Cloud-Native Architecture Proficiency in designing REST APIs ; familiarity with GraphQL is a plus. Experience with Docker, Kubernetes, Helm , and CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD. Security & Performance Hands-on experience with Spring Security, OAuth2, JWT, and secure API practices . Familiarity with profiling, monitoring, and performance tuning tools (Prometheus, Grafana, etc.). AI/LLM Integration (Preferred) Exposure to LLM integration (e.g., OpenAI, Hugging Face Transformers, LangChain). Experience with vector databases , embeddings, and RAG architectures . Understanding of AI observability, prompt logging, and feedback-driven refinement is a plus. Preferred Qualifications Experience with event-driven architectures (Kafka, RabbitMQ) . Familiarity with serverless deployments (AWS Lambda, API Gateway). Exposure to data observability and anomaly detection tools . Prior work on LLMOps or GenAI product workflows is highly desirable. Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). What We Offer Opportunity to work on mission-critical backend systems and data infrastructure. Competitive salary and comprehensive benefits package. Collaborative and innovative work environment with modern tools and processes.
About the Role We are looking for two highly skilled and experienced Senior Front-End React Developer to join our growing product engineering team. As a senior front-end developer, you will be responsible for designing and building high-performance, scalable, and user-friendly applications using modern front-end technologies. You will work closely with designers, backend engineers, and product managers to deliver exceptional user experiences. Key Responsibilities Application Development: Develop, enhance, and maintain complex React-based web applications. Architect reusable components, UI patterns, and frameworks for scalable applications. Collaboration & Design: Collaborate with UX/UI designers to convert wireframes and visual designs into interactive applications. Work closely with backend teams to integrate APIs and ensure smooth data flow. Performance & Quality: Optimize application performance for maximum speed and scalability. Write clean, maintainable, and testable code following best practices. Conduct thorough code reviews and mentor junior developers. Innovation & Continuous Improvement: Stay updated with emerging front-end technologies and frameworks. Contribute to continuous improvements in development workflows, testing practices, and deployment processes. Required Skills and Qualifications Core Expertise: Minimum 5+ years of professional experience in front-end development. Strong proficiency in React.js, Redux (or Zustand, Recoil, or similar state management libraries). Excellent knowledge of modern JavaScript (ES6+), TypeScript, HTML5, and CSS3 (including preprocessors like SASS or LESS). Ecosystem & Tools: Experience with Next.js or similar frameworks is a strong plus. Familiarity with component libraries (e.g., Material UI, Ant Design, TailwindCSS) and design systems. Proficient in using build tools such as Vite, Webpack, or similar. Understanding of RESTful APIs, GraphQL, and JSON data structures. Quality Focus: Hands-on experience with testing frameworks (Jest, React Testing Library, Cypress). Knowledge of code quality, CI/CD pipelines, Git, and Agile development practices. Soft Skills: Strong problem-solving and debugging skills. Ability to work independently and in a team environment. Excellent communication and collaboration skills. Preferred Qualifications Experience with micro-frontend architectures. Exposure to server-side rendering (SSR) and static site generation (SSG). Knowledge of responsive, cross-browser, and accessibility (WCAG) best practices. Familiarity with cloud platforms (AWS/Azure/GCP) and DevOps tools is a plus. Education Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). What We Offer Opportunity to work on cutting-edge applications in a fast-growing technology company. Competitive salary and comprehensive benefits package. Collaborative and innovative work environment. Professional growth through training, mentorship, and challenging projects.