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Data QA Engineer - Remote

posted by: spj_bot

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

Role Overview

Data QA is how we make sure the data we deliver is right before the customer sees it. As a Data QA Engineer, you will check the data our spiders and AI-assisted projects produce against what the customer asked for, find what is wrong and tell the team exactly what you found.

Quality assurance is more useful as a question asked at the start than a gate at the end. Is this requirement testable and how would we know if it were wrong? Part of this role is asking that question early, so problems are fixed before they reach the customer.

Key Responsibilities

Job Skills

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Senior React Engineer (TypeScript) - 6 to 12 months - Immediate Hire

posted by: spj_bot

About the Role

We are looking for a Senior React Developer to join an international delivery team supporting a growing technology platform. The ideal candidate will have strong hands-on experience with React and TypeScript, front-end architecture, and the delivery of scalable, accessible, and production-ready applications.

This role requires someone who can take ownership of front-end components from technical design through implementation, testing, deployment, and stabilization, while establishing engineering best practices and mentoring other developers.

Key Responsibilities

Job Skills

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Power Platform Developer - 6-12 Months Contract - Immediate Hire

posted by: spj_bot

Role and engagement model

  • Work as an external delivery specialist embedded in the client's agile platform team.
  • Take ownership of defined work packages from refinement and design through build, test, deployment and stabilization.
  • Collaborate closely with developers, architects, product owners and business stakeholders while following the client's governance and engineering standards.

Key responsibilities

  • Design, build and enhancemodel-driven apps and Canvas apps using reusableand maintainablepatterns.
  • Create Power Automate cloud flows, approvals and integrations with appropriate error handling and monitoring.
  • Design Dataverse tables, relationships, security roles, business rules and solution components.
  • Integrate Microsoft and third-party services through standard connectors, custom connectors and REST APIs.
  • Deliver changes through managed solutions, source control and Azure DevOps based ALM.
  • Perform unit testing, peer reviews, defect fixing, technical documentation and production support.
  • Coach internal developers through pairing, code reviews and concise technical handovers.

Requirements

Mandatory experience

Job Skills

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Tech Lead (Go) - Software Engineering

posted by: spj_bot

We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality.

This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges.

You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers.

Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems.

We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity.

Job Skills

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Full Stack Engineer (Mid - Level)

posted by: spj_bot

We are hiring on behalf of our client Full Stack Engineer (Mid – Level).

The Full Stack Engineer will join a dynamic team and contribute to the design, development, and delivery of reliable, scalable web applications. The role involves working across both frontend and backend technologies, developing new features, integrating databases and APIs, and contributing to code quality, testing, and continuous improvement throughout the development lifecycle.

Responsibilities

Frontend Development

  • Develop and maintain modern web applications using React and Next.js.
  • Build responsive, reusable, and maintainable UI components.
  • Work with server-side and client-side rendering where appropriate.
  • Implement structured styling using SCSS and CSS Modules.
  • Optimize frontend performance, usability, and application responsiveness.

Backend Development

Job Skills

data models professional adaptability postgresql product managers c # integrations validation usability server side unstructured datum ul data integration agile data management scalable data rendering code review maintainable business requirement communication agile delivery supervision maintainability data driven computer science write business logic backend continuous improvement integration tests CSS web development engineers product information technology web application analytical skill problem solve stand ups manager mongodb database performance data processing collaborate root causes software engineering automated testing reliable best practices improve processes collaboration integrating databases personal attributes rest apis problem solving git tested code API software development scrum collaborative react maternity next js sprint planning serialization solutions bitbucket database index
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CRM Dynamics Consultant - KSA - On-site - 4 Months

posted by: spj_bot

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Job Skills

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Microsoft DevOps Engineer

posted by: spj_bot

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.

Job Skills

data models modern microsoft automate infrastructure cloud engineering VPN microsoft certified endpoint management architecture diagrams dashboards governance experience design azure data controls secure python reliable docker operations rest apis microsoft intune business system cloud platform problem solving networking storage data governance resilient ERP root cause analysis microsoft sql server enterprise environments manage diagrams auditing networking compute disaster recovery microsoft designs delivery pipeline operational datum dictionary microservices RBAC storage arm arm vulnerability management stakeholder management kubernetes database design automated azure kubernete service virtual machine scripting azure devops devops incident management yaml power bi indexing database administration engineer designs terraform configuration management reliability automation models entity relationship cloud operation data integration management control agile integration azure azure cloud native data integrity landing zones corrective actions technical solutions collaboration investigate technical documentation change control application deployment git scrum accountable itil foundation certification powershell azure sql database structures planning cloud infrastructure resilience infrastructure security compliance requirement operate microsoft platforms design review azure policy vulnerability management devsecops troubleshooting continuous improvement translate tooling analytical positive templates data lake analytics personal attributes coding application insights infrastructure as code azure monitor agile change operational efficiency infrastructure microsoft azure continuous integration bash workflow factory azure azure services engineer relational database workflow automation audits
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Senior Data Engineer

posted by: spj_bot

We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms.

You will be responsible for designing and developing scalable data infrastructure, building reliable data pipelines, and establishing engineering best practices across our data ecosystem. This role is ideal for someone who enjoys solving complex engineering challenges while enabling analytics, machine learning, and product teams with high-quality data.

Job Skills

datum mart professional dataflow terraform apache airflow reliability automation integrate data data data streaming data ul data integration data engineer quality data scalable cloud platforms data platforms design build data modeling solving complex distributed systems management data product sql data pipeline data architectures data quality data infrastructure analytical airflow nice bigquery senior engineer data engineering python experience designing google cloud platform data processing collaborate software engineering programs structured reliable best practices analytics workflows docker kubernetes data warehouses rest apis technical documentation data science google cloud infrastructure as code git scalability API product teams machine learning ETL operational efficiency data systems infrastructure performance review engineering productivity english scale data architecture quality monitoring data pipelines integrations
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Lead AI Engineer

posted by: spj_bot

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.

Requirements

Job Skills

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Data Scientist

posted by: spj_bot

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

Job Skills

professional refine communication data pipeline dashboards data platform python finance reliable operations rest apis predictive models verbal communication skill miss datum source engineering support iterate data architecture integrate investment strategy data products security policy cross functional research investigations sql operational problem solve open source communicate organizational strategy source datum business intelligence data science stage raw datum models marketplaces mitigating track data collection datasets operational data self directed production engineering artificial intelligence executive leadership cryptocurrency agency environment write independent analyses data analysis manage production product management reconciliation decision support managed securely value problems collaboration performance report workflows blockchain innovation benchmarks language model physics computer predictive modeling venture capital operating CRM ad hoc engineering features optimized sql github computer science translate tooling analytical data engineering quantitative research analytics strategic decision debug experimentation infrastructure applicable data workflow automation production system
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