Business Development Executive and Associate

• Required minimum 1 year of Experience.
• Experience on Engine Versions: Unreal Engine 4.27, 5, and above
• Expertise in both Blueprints and C++
• Ability to build scalable and modular gameplay systems
• Nice understanding of core gameplay architecture
• Experience working with UMGs
• Ability to optimize performance for PC and console platforms
• Familiar with game loop architecture, tick handling, and event-driven programming
• Capable of writing clean, maintainable, and modular code
• Experienced in debugging, profiling, and performance analysis
• Familiar with code versioning tools like Git, Perforce, SVN, or Plastic SCM
• Ability to integrate and test third-party plugins or systems
• Passionate about learning and implementing new Unreal Engine features
• Able to work independently as well as in cross-functional teams
• Strong communication skills
• Basic understanding of shader graphs and material system (preferred)
• Eager to contribute to both game and non-game creative solutions
• Experience with simulation projects like training tools, infrastructure planning, or visualization systems
• Familiar with animation systems (characters and vehicles)
• Familiarity with AI systems like Behavior Trees and NavMesh
• Understanding of replication and multiplayer mechanics
• Experience with Niagara or Cascade particle systems

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

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Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

A Senior Automation Test Engineer at HappyFox is an integral part of the QA team responsible to ensure product quality and integrity with a special focus on the development and execution of test automation. 

Responsibilities:

• Owning the quality of any deliverables including new features and enhancements.
• Working closely with the product team in understanding the requirements and user workflow.
• Developing and executing test plans and test cases with a strong emphasis on using code to solve technical challenges and shorten the regression test cycle through automation.
• Performing automated API testing.
• Contributing to building of a Continuous Integration (CI) environment and ongoing process improvement activities.
• Identifying required improvements in the test and development processes; making contributions to our automation tools that address specific needs.
• Raising defects/bugs and tracking them till closure.

Requirements:

• Minimum 5 years of relevant experience in QA with at least 3 years of experience in automation.
• Expertise in Selenium tool for automation testing.
• Good understanding of the Agile software development methodology (Kanban or Scrum) and QA's role in it.
• Good knowledge of object-oriented programming, along with requisite coding and debugging skills.
• Design and development skills in Python and/or Java.
• Some knowledge of continuous integration practices.
• Excellent verbal and written communication skills.
• Experience working in SaaS based product company (optional)
• Knowledge of Performance / Load testing tool (optional)
• Experience working for a bootstrapped high-growth startup (optional)

If you are a technology enthusiast, we have the perfect job for you! We are looking for Node.Js Developers to join our agile team of professionals.

Responsibilities:

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Requirements:

• Bachelor's degree in computer science, information science, or similar.
• At least two years' experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

• Perform installation, setup, and configuration of hardware such as x86-based servers, NAS storage systems, Troubleshooting capabilities of Windows Server OS, Sound knowledge of AD, DNS, Group policy etc, tape drives and tape libraries, LAN switches (Layer 2 and Layer 3), desktop computer and notebooks.
• Perform installation, setup, and configuration of server and desktop operating systems, such as Microsoft Windows Server 2016, 2019 and newer, Microsoft Windows 10 and newer, Linux (Red Hat Enterprise Server, SUSE Linux Enterprise Server), standard applications on desktops such as Microsoft Office 365, email clients, antivirus clients, encryption etc.
• Upgrade hardware components such as hard disks, memory, I/O adapters in servers and storage systems.
• Upgrade Operating Systems and install patches and troubleshooting of OS.
• Perform installation, setup, and configuration of data backup / restore solutions such as Symantec Backup Exec / NetBackup, and able to provide advice to customers on backup policies.
• Remote operation of Data centre
• Knowledge of LAN, WAN, IP segments, basic installation of Firewall, L3/L2 switches, router etc will be added advantage
• To find out and understand the detail requirements of configuration settings from customers before installation and configuration starts.
• To coordinate and manage the progress of the installation and implementation of projects.

Technical Recruitment, Sourcing and End to End recruitment lifecycle.

Hiring for Mid senior to senior roles for technical team.

Stakeholder Management, Team collaboration, Reporting, Good with Data and good communication skill.