QAtronic

We are looking for medium-senior developer. Besides Go, Javascript and Python are bonuses but not required. The project will be to develop on an auction based system. Features will be to adjust bidding logic and data flow routing within the platform. The main team is in San Diego so working during PST hours is preferred. 

Requirements:

- candidates need to be experienced in Go.

- experience in Javascript and Python will be plus

- ready to work during PST hours.

We offer:

- Attractive financial package

- Paid vacation, holidays and sick leaves

- Challenging projects

- Professional & career growth

- Great atmosphere in a friendly small team

- Flexible working hours

We are seeking a highly skilled and self-driven SAP Digital Manufacturing Cloud (DMC) Consultant to provide Application Management Support (AMS) for our enterprise client. The successful candidate will support the existing SAP DMC implementation through a structured ticketing system, ensuring operational excellence and timely resolution of issues. This is a remote role, aligned with Central Time (USA) working hours, and includes regular collaboration with a cross-functional team based in Italy. 

Key Responsibilities: 

• Provide Level 1 and Level 2 AMS support for SAP DMC solutions. 

• Monitor, triage, and resolve incidents and service requests logged in the client’s ticketing system. 

• Perform issue analysis, root cause identification, and resolution for both functional and technical DMC issues. 

• Interface with end-users and stakeholders to gather clarifications and provide timely updates on ticket progress. 

• Coordinate with the Italian support/development team for escalations, enhancements, and knowledge sharing. 

• Support DMC integrations with SAP ERP (e.g., S/4HANA or ECC), MES systems, and shop floor equipment. 

• Document solutions, create knowledge base articles, and contribute to process improvement efforts. 

• Adhere to SLAs and ensure compliance with operational standards and procedures. 

Required Skills & Qualifications: 

• 3+ years of hands-on experience with SAP DMC (Digital Manufacturing Cloud). 

• Strong understanding of manufacturing processes and SAP MES/DMC architecture. 

• Experience with ticketing systems (e.g., ServiceNow, Remedy, Jira). 

• Excellent troubleshooting skills across SAP DMC modules and interfaces. 

• Ability to work independently in a remote setting while collaborating with global teams. 

• Strong verbal and written communication skills in English. 

• Ability to collaborate effectively with Italian counterparts (knowledge of Italian is a plus but not mandatory). 

• Understanding of data integration, IoT services, and cloud-based manufacturing workflows is a plus. 

Nice to Have: 

• Experience with SAP S/4HANA or legacy SAP ERP integration to DMC. 

• Familiarity with cloud platforms (SAP BTP, AWS) and IoT connectivity. 

• Exposure to Agile or ITIL frameworks for incident and service management. Work Schedule: 

• Remote role with working hours aligned to USA Central Time (CST/CDT). 

• Must be flexible to occasionally adjust hours for meetings or collaboration with the Italian team.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Responsibilities: 

The DevOps engineer will be responsible for supporting and scaling the client’s cloud infrastructure, ensuring high availability, security, and performance of systems. 

Typical day-to- day responsibilities include: 

• Managing and optimizing AWS cloud environments 

• Automating infrastructure provisioning and deployment pipelines 

• Monitoring and incident response 

• Implementing and maintaining CI/CD processes 

• Supporting development teams with environment setup and configuration 

• Ensuring best practices in infrastructure as code and system security 

• Managing identity and access tools such as Cognito and Active Directory integrations 

• Assisting with mobile app deployment pipelines 

Technical Requirements: 

We are looking for candidates with strong hands-on experience in the following: 

• AWS (extensive experience) 

• Serverless architecture

• AWS Lambda 

• AWS AppSync 

• GitHub Actions 

• AWS Amplify 

• Amazon Cognito 

• Active Directory / Microsoft Entra ID 

• CI/CD processes for mobile app deployments (Android/iOS) Personal & Communication Requirements: 

• At least upper-intermediate English level (both spoken and written) 

• Strong interpersonal skills — must enjoy working with people and collaborating across teams 

• High level of dedication, accountability, and work ethic 

• Willingness to be available occasionally outside of standard working hours if needed 

• Must be communicative, responsive, and reliable 

• Looking for a long-term, stable engagement with potential for growth

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Requirements

- 7+ years experience in data engineering, data platforms & analytics - - 

- Completed Data Engineering Professional certification & required classes

- Minimum 6-8+ projects delivered with hands-on experience in development on databricks 

- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one 

- Deep experience with distributed computing with Spark with knowledge of Spark runtime internals 

- Familiarity with CI/CD for production deployments 

- Current knowledge across the breadth of Databricks product and platform features

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

The Client is dedicated to curating premium live event experiences with the goal of creating memories that will last a lifetime for their guests. With over two decades of experience, the company has redefined luxury hospitality with unsurpassed access, trusted VIP service, and expertise in event planning, travel, hospitality, and corporate ticket sales, providing seamless convenience, comfort, and elevated entertainment for both personal and corporate clients. 

Candidate requirements (Experience, competency, etc. ) 

Hands on experience with SQL 

Strong experience with DBT 

Experience with Snowflake 

Experience with BI tools 

Great communication skills 

Upper-Intermediate English level 

Good presentation skills 

Previous experience as a business analyst is a plus 

Responsibilities 

This person wouldn’t be expected to do any ML work. 33% of the time this person would be required to do requirements' gathering and stakeholders' communication work, translate their requirements to data. This role is stakeholder facing and does require good communication skills. The other 33% of the role will likely be data modeling and transformation work in DBT The last 33% is Dashboard Development in Omni (close to Looker or Tableau). This work will be closely connected to Product Managers 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Must-have qualifications 

- 5+ years building production web applications. 

- Solid React + TypeScript skills (hooks, context, advanced state management). 

- Proficient in either C#.NET or PHP (ideally both) for back-end APIs. 

- Hands-on experience deploying to Kubernetes (writing Dockerfiles, basic Helm charts). 

- Confident English for daily calls; willingness to keep communication transparent and friendly. 

Nice-to-have 

- Familiarity with event-driven patterns (Kafka, RabbitMQ).

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Must-Have Skills: 

- At least 2 years of professional experience in Flutter 

- Expertise in DeepLinking 

- Fluent in English, with excellent interpersonal and communication skills 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

We’re looking for a skilled AI Developer / Prompt Engineer to join our team and help build modern, LLM-driven tools and workflows. The ideal candidate has hands-on experience with AI-native development environments and understands how to rapidly prototype with large language models.

Responsibilities: 

• Build and maintain agentic AI workflows (e.g., AutoGPT, LangGraph) 

• Design and optimize prompt engineering strategies (few-shot, system prompts, tool use) 

• Implement and manage RAG pipelines using vector databases (Chroma, Weaviate, etc.) 

• Integrate and work with LLM APIs: OpenAI, Anthropic (Claude), Google Gemini 

• Automate workflows using tools like n8n 

• Collaborate with product teams to prototype interfaces using platforms like v0.dev, Bolt, or Lovable 

• Write clean, maintainable code in AI-focused IDEs such as Cursor or Windsurf

Requirements: 

• Proven experience working with large language models (LLMs) 

• Solid knowledge of prompt engineering techniques 

• Familiarity with at least one vector database and RAG architecture 

• Experience building agent-like systems and using LLM orchestration tools 

• Proficiency with tools for low-code UI or AI-driven prototyping 

• Comfort working in fast-paced, iterative environments

Nice to have: 

• Experience with LangChain, LlamaIndex, or similar frameworks 

• Prior work on chat-based UIs or conversational agents 

• Background in automation, scripting, or no-code tools (e.g., Zapier, Make, n8n)

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Requirements: 

• Develop and maintain data pipelines and ETLs. 

• Support the development and maintenance of data visualization solutions for the developed data products. 

• Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python. 

• Build reusable components for multiple solutions. 

• Design, build, and implement data quality checks. 

• Gather and translate business requirements into technical requirements. 

• Implement Data Engineering best practices. 

• Document all developed components. 

• Assist in solution architecture design and implementation. 

• Build queries to solve analytical questions. 

• Ensure information security standards are always maintained. 

• Design, build, and maintain robust and scalable data models across various database vendors and types, including SQL and NoSQL. 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

We require a senior engineer, that's worked at startups or fast moving companies. They should have experience in working with modern product teams, from initial inception of an idea to bringing products to market. 

Candidates must have the following: 

- At least 8+ years of commercial experience. 

- Recently worked as a full stack engineer, both on the frontend and backend. 

- Experience with Tailwind, React, Next.js, Typescript,Python Mongodb, Containers, K8s and TDD or BDD. 

- They should have experience in working on deliveirng non trivial products, preferably in the regulated space (Fintech, Financial services, Regtech or Healthcare). 

- A good understanding of modern application security principles. 

- Strong written and verbal communication skills, with the ability to openly discuss ideas and be open to be challenged in a public forum. 

- Experience working in an Agile environment, especially using Scrum, Kanban or hybrid Scrumban methodologies. 

- Autonomous and a self starter. All engineers are empowered to make the right decisions at the right time, so the position wouldn't suit candidates that have worked in large organisations with an emphasis on control gates, rather than streamlined productivity, tempered with quality and security. 

Nice to haves: 

- Experience with Go as some of our services are written in that language. 

- Time series data analysis and OLAP.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

This app is an internal GenAl platform designed to support building and deploying Al-powered tools and agents. It provides infrastructure and components for working with large language models (LLMs), integrating various data sources, and orchestrating intelligent workflows. The platform includes tools for managing prompt templates, configuring model pipelines, handling input/output processing, and deploying modular Al services. It supports both open-source and commercial LLMs (e.g., OpenAl, Anthropic), and can run across multiple cloud environments. App AI is used across the organization to create custom Al assistants, automations, and decision support systems - typically combining structured business data with LLMs to generate insights, recommendations, and actions. It also includes role-based access controls, audit logging, and API integrations to ensure enterprise compliance and scalability. App AI is applied across industries such as: Healthcare: Accelerates insights from medical data. Aviation: Analyzes customer feedback to improve services. Retail: Generates personalized marketing content. Finance: Automates contract workflows and compliance processes

Typical Tasks for Python Developers 

* Build modular Python services for parsing, analyzing, and routing incoming medical and insurance documents. 

* Design and maintain custom pipelines for PDF processing, layout extraction, and field mapping using tools like pdfplumber, PyMuPDF, and heuristic matching. 

* Develop integrations with third-party APIs for document retrieval, submission, and status tracking (e.g., eFax, Athenahealth). 

* Implement and benchmark different approaches for matching patient and provider identities across unstructured data sources. 

* Create and maintain internal tools for debugging document flows and visualizing extracted metadata. 

* Automate QA checks for document classification and extraction results, reducing manual validation by >30%. 

* Prototype and deploy semantic search features using vector databases and hybrid retrieval methods. 

* Build health-check dashboards and job monitors to track performance and reliability of ingestion services. 

* Collaborate with ML and product teams to define input/output specs for document annotation and pre-processing steps. 

* Contribute to CI/CD setup, containerization, and environment management for Python services (Docker, GitHub Actions).

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team