Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. 

As an Innovation engineer, you will play a pivotal role in driving ideation, rapid prototyping, and early-stage incubation of AI and GenAI initiatives. We are obsessed with customer centricity and strongly believe in an "outside in" human centered approach. You will help craft the innovation lifecycle—from problem discovery to proof-of-concept and transition to path 2 pilot — working closely with business partners, platform engineers, product, and researchers.

This is a hands-on, highly collaborative role that bridges the gap between imagination and implementation—leveraging platform capabilities, reference architectures, standards, and starter kits. You’ll also play a key role in shaping strategy and recommendations through experimentation and assessment, presenting insights to stakeholders with clarity and impact. Strong storytelling skills and the ability to craft compelling slide decks and pitch presentations are essential to success in this role.

FlatGigs is hiring a DevOps & QA Engineer for a tech company specializing in logistics software. You’ll manage cloud infrastructure, CI/CD pipelines, and automated testing to ensure smooth, reliable deployments. The role bridges operations and engineering — ideal for someone who loves automation, efficiency, and quality control.

Key Responsibilities

• Design and maintain secure, scalable cloud infrastructure
• Build and manage CI/CD pipelines and automated deployments
• Implement Infrastructure as Code (IaC)
• Manage monitoring, logging, and alerting for uptime reliability
• Define and run QA automation frameworks
• Collaborate with engineering teams to streamline testing and releases

Requirements

• 3+ years in DevOps, Site Reliability, or QA Automation
• Strong command of cloud systems, CI/CD, and containerization
• Scripting experience and problem-solving mindset

About the Company 

We are a UAE-based technology company focused on building scalable digital platforms and logistic solutions for modern enterprises. Our team operates in both physical and remote environments, bringing together experienced engineers who value innovation and collaboration. We strive to deliver products that are efficient, secure, and designed for long-term growth. 

About the Role 

This is a remote opportunity within our engineering team. The DevOps and QA Engineer will be responsible for managing cloud infrastructure while ensuring the quality and stability of our software platforms. The role includes designing and maintaining automated pipelines, enhancing system reliability, and leading the development of robust testing strategies across all components of the company’s technological ecosystem. 

Requirements

Key Responsibilities 

We are looking for a Technical Support Engineer who enjoys solving complex challenges and making a real impact on product quality.

You will work with technically challenging cases: analyzing logs, SQL queries, APIs, and services, restoring stability, and improving the user experience.

In this role, you’ll become a key link between clients, the support team, and development: helping first-line support filter requests, identifying root causes of issues, and providing feedback to the product team. Every solution you find will increase the product’s value and contribute to the company’s growth.

Responsibilities

• Handle requests from first-line support and clients, reproduce and clarify issues.
• Analyze incidents, identify root causes, and provide clear context to developers and DevOps.
• Monitor task status and explain situations to clients in simple terms.
• Document solutions and share them with colleagues.
• Provide feedback to the product team based on incoming requests.

Requirements

A DevSecOps Engineer is responsible for integrating security practices into the entire software development lifecycle, ensuring that applications, infrastructure, and operations are secure by design. This role blends development, operations, and security expertise to maintain high-availability systems while proactively managing security risks and compliance requirements.

Responsibilities:

• Security Integration in CI/CD: Embed security checks, vulnerability scanning, and automated compliance tests into CI/CD pipelines.
• Infrastructure Security: Implement secure cloud and on-premises infrastructure using best practices for access control, encryption, and network segmentation.
• Container & Kubernetes Security: Manage and harden containerized environments, including image scanning, runtime protection, and pod security policies.
• Monitoring & Incident Response: Use observability tools to monitor systems for security threats, respond to incidents, and implement continuous improvements.
• Collaboration & Education: Work closely with developers, SREs, and QA teams to ensure security-first development practices, provide guidance on secure coding, and conduct threat modeling.
• Compliance & Governance: Ensure systems and processes comply with standards like ISO27001, SOC 2, GDPR, NIST, and maintain audit readiness.

Requirements

GoMining is seeking a talented DevOps/SRE Engineer to join our team, ensuring the reliability, scalability, and security of our advanced crypto and fintech products.

This role is ideal for professionals passionate about building robust infrastructure, streamlining CI/CD processes, and maintaining high-availability systems in fast-paced, technology-driven environments. You will play a pivotal role in optimizing system performance, automating operations, and enhancing the resilience of our services.

We are looking for someone who brings technical expertise, problem-solving skills, and innovation to the table.

Responsibilities:

Infrastructure Development & Maintenance

• Design, deploy, and maintain Kubernetes clusters, virtual machines, and local infrastructure.
• Develop and enhance platform architectures with a focus on scalability, reliability, and security.
• Apply DevOps principles across product teams to improve the Software Development Life Cycle (SDLC).

Application Support & Collaboration

• Develop and support business-critical applications.
• Collaborate with developers to streamline features and resolve operational issues.
• Ensure reliable application operations using modern SRE practices (SLI, SLO, Error Budgets).

Automation & CI/CD

DSI, a Dallas-based sales enablement company has an immediate opportunity for an analytical Contact Center Administrator to support and expand the capabilities of our sales call center(s).

As the Contact Center Administrator, you will own the day-to-day operational administration of our call center platform and user management of related user applications for our sales call center team. You will be responsible for system configuration and user management based on best practices and business requirements, provide specialized expertise around products and implementation, and analyze performance metrics.

This position will report through our Systems Operations team and requires daily collaboration with senior level call center management (including international centers).

This is a remote opportunity; candidates must reside in the United States.

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

We are looking for a Game Mathematician to design and fine-tune game math models and perform simulations. You will collaborate with developers and product owners, providing mathematical insights and specifications throughout the game development process.

Requirements

• University degree in mathematics / computer science / technology / engineering;
• At least 1.5 years commercial experience as a game mathematician (or similar position) in online gambling;
• An understanding of how different slot mechanics work;
• A high level of attention to detail: the ability to spot even small mistakes in your math models and troubleshoot them;
• Brilliant at solving abstract and highly complex math problems;
• Data-driven and analytical mindset in decision-making;
• Teamwork experience;
• English B2+.

Will be a plus:

• Scripting skills in Python;
• Experience with Git (or other VCS);
• Motivated by challenges and stretch goals;
• Strong mathematical intuition, creativity and curiosity;
• Ability to look at games from players' point of view;
• Self-organization, ability to prioritize tasks.

Responsibilities:

As an Azure Data Engineer you can expect to…

Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with presence in more than 200 countries worldwide? If so, this is the chance to apply now! 📥

PeopleCert is seeking a MLOps Engineer who will ensure that PeopleCert’s AI models run reliably, securely, and at scale in production. You’ll design and maintain the pipelines that allow models to be trained, deployed, monitored, and continuously improved. Your mission is to turn prototypes into trusted enterprise services and to keep them healthy once they’re live.  

As a MLOps Engineer, your tasks will include the following:  

• Design, implement, and manage CI/CD pipelines for AI/ML models.  

• Automate deployment workflows for training, testing, and serving models in enterprise environments.  

• Set up monitoring and observability frameworks to detect model drift, bias, and performance degradation.  

• Collaborate with Machine Learning Engineers to transition models from prototype to production.  

• Optimize infrastructure for scalability, performance, and cost efficiency.  

• Ensure compliance with enterprise security, data protection, and regulatory requirements.  

• Document workflows and establish best practices for AI operations.