Integrant, Inc.

Network Engineer

• Develop network configurations and architectures
• Operate, maintain, and support Ethernet and InfiniBand networks in a high-performance computing (HPC) and AI environment.
• Perform ongoing maintenance, upgrades, and lifecycle management of network equipment.
• Monitor network health, performance, and capacity to ensure reliable, low-latency data flow.
• Respond to and resolve network and server-related incidents in a timely manner.
• Run hardware diagnostics and coordinate replacement of failing network components.
• Support and maintain Linux-based HPC and AI platforms across a wide range of technologies.
• Collaborate with senior network engineers, software teams, and platform teams on network efficiency, reliability, and security.
• Assist with configuration, deployment, and operational support of InfiniBand and Ethernet fabrics.
• Develop and maintain operational documentation, including configuration examples, build guides, and best practices.
• Support on-site staff during hardware updates, card replacements, and infrastructure changes.
• Stay current with advancements in data center networking, HPC interconnects, and AI infrastructure technologies.
• Work within the client ticketing / IT service management system (e.g., TopDesk) to manage incidents and service requests to SLA.
• Build and maintain automation and tooling (scripting, monitoring integrations, infrastructure-as-code) to improve operational efficiency.
• Collaborate with software, platform, storage, and client teams on efficiency, reliability, and security.
• Own the quality of operational documentation: configuration examples, build guides, runbooks, and best practices.
• Lead design reviews and knowledge-sharing.
• Participate in a weekly on-call rotation and respond to network and infrastructure issues after hours when required.

Senior Lead Network Engineer

Backend Engineer

• **Job Overview**
• Integrant is seeking a highly motivated and experienced Lead Storage Engineer to join our team and play a key role in managing our data storage infrastructure. The ideal candidate will have extensive experience with DDN and VAST storage solutions, as well as a strong understanding of storage area networks (SANs) and network attached storage (NAS). In this role, you will be responsible for all aspects of storage administration, including provisioning, configuration, monitoring, and troubleshooting. This is a customer-facing position. ********Responsibilities**
• - Install, configure, build, create DataStorage Arrays that meet customer needs and availability.
• - Manage and maintain DDN,Pure,VAST storage area networks (SANs) and network attached storage (NAS) systems
• - Provision storage resources to meet application and user requirements
• - Configure and manage storage pools, volumes, and snapshots
• - Implement and maintain data protection strategies, including backups and replication
• - Monitor storage performance and capacity utilization
• - Identify and troubleshoot storage-related issues
• - Perform routine maintenance tasks
• - Document storage configurations and procedures
• - Participate in weekly on-call rotation.
• - Stay up-to-date on the latest storage technologies and best practices

Storage Lead Engineer

• Design, develop, test, and maintain high-performance backend applications using C and C++.
• Build scalable, reliable, and maintainable software solutions aligned with business requirements.
• Develop reusable components, libraries, and frameworks to improve development efficiency.
• Participate in system architecture discussions and technical design reviews.
• Optimize system performance, memory usage, and application responsiveness.
• Provide technical guidance and mentorship to software engineers.
• Review code to ensure quality, maintainability, and adherence to engineering standards.
• Drive best practices in software design, coding standards, testing, and documentation.
• Contribute to technical decision-making and architecture evolution.
• Work closely with Product Owners, Architects, Project Leads, QA Engineers, and DevOps teams.
• Participate in requirements analysis and solution design sessions.
• Communicate effectively with US-based clients and stakeholders.
• Support project planning, estimation, and risk identification.
• Write unit tests, integration tests, and support automation efforts.
• Troubleshoot and resolve complex production issues.
• Continuously evaluate and improve system reliability, performance, and security.
• Stay updated with emerging technologies and industry best practices.

Lead Backend Engineer, C/C++

• Be part of a high performing team of software engineers delivering scalable and robust solutions within our microservices platform
• Design, develop, automate testing , document and maintain software applications.
• Actively participate in technical requirements elicitation from the client
• Software Development Implementation Perform programming tasks according to the project plan and functional specifications.
• Perform unit testing of the tasks.
• Integrating team output into the project solution and packages.
• Responsible for project configuration management and releases deployment.
• Finally smoke test for deployed releases.
• Gathering and preparing release notes.
• Team Leading and technical coaching
• Coaching and guiding technical team for best practices, standards, & appropriate design patterns.
• Perform code reviews for development team
• Ultimately responsible for project code quality.
• Guiding the team on adopting and using Agile approaching and practices.
• Breaking down backlog features into smaller tasks to be easier & more effective for team members.
• Divide tasks among team members with agreement with the PM based on priorities & deliverables.
• Updating the PM with project & team status and performance.
• Raising any project or task risks or impact of any impediments to the PM.
• Conducting technical research to gain technical knowledge and resolve technical difficulties.
• Estimations and Sizing
• Provides the development effort estimation of new features & components with the development team for the project he is leading.
• Participate in estimating potential new projects modules & features and provide it to the PM.
• Highlight to the PM development potential risks and tasks dependencies.
• Architectural and Analysis
• Participate in the analysis of new functional requirement and systems.
• Building solution architecture in collaboration with the team.
• Confirming solution architecture with PM before implementation kickoff.
• Providing the team the design of project systems and component.

Lead Software Engineer – Java full-stack

Data Scientist

• We Are Hiring!
• Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities:
• - Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
• - Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
• - Conduct open research and experimentation to develop innovative solutions for complex client challenges.
• - Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
• - Design and implement end-to-end Machine Learning and Generative AI solutions.
• - Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
• - Develop scalable model deployment and monitoring solutions using MLOps best practices.
• - Monitor model performance, detect concept drift, and continuously improve deployed systems.
• - Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
• - Mentor and coach junior Data Scientists and Machine Learning Engineers.
• - Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
• - Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.

Lead Data Scientist – AI, Machine Learning

• Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data.
• Design, develop, evaluate, and deploy predictive and prescriptive machine learning models.
• Conduct open research and experimentation to develop innovative solutions for complex client challenges.
• Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions.
• Design and implement end-to-end Machine Learning and Generative AI solutions.
• Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications.
• Develop scalable model deployment and monitoring solutions using MLOps best practices.
• Monitor model performance, detect concept drift, and continuously improve deployed systems.
• Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability.
• Mentor and coach junior Data Scientists and Machine Learning Engineers.
• Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements.
• Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks.

Principal Data Scientist – AI & Machine Learning

Recruitment

• Develop and execute creative sourcing strategies to identify and attract top technical talent.
• Utilize LinkedIn Recruiter, professional networks, referrals, communities, and advanced search techniques to build talent pipelines.
• Conduct market mapping and competitor talent research.
• Build and maintain strong passive candidate networks.
• Continuously generate qualified candidates for current and future hiring needs.
• Conduct comprehensive HR screening interviews.
• Evaluate candidates' technical backgrounds, career progression, motivations, and cultural fit.
• Present qualified candidates with clear recommendations and insights.
• Manage candidate relationships throughout the recruitment lifecycle.
• Deliver an exceptional candidate experience.
• Collaborate with hiring managers and technical SMEs to understand hiring requirements.
• Participate in profiling sessions and recruitment strategy discussions.
• Provide market intelligence and hiring insights.
• Act as a trusted advisor regarding talent availability, salary expectations, and hiring trends.
• Maintain accurate candidate records within the ATS.
• Track recruitment KPIs and pipeline metrics.
• Ensure compliance with recruitment processes and standards.
• Contribute to employer branding and talent community initiatives.

Senior Talent Acquisition Specialist – Technical Headhunter

• - Design, develop, debug, and maintain enterprise software using C and C++.
• - Enhance, fix, and regression-test existing product code under production pressure.
• - Work with SQL Server and database-backed features; understand data, performance, and availability impact.
• - Troubleshoot complex production issues using logs, diagnostics, and systematic root-cause analysis.
• - Collaborate with Product Owners, QA, architects, and client technical stakeholders; participate in Agile delivery.
• - Apply strong OOP, SOLID, data structures, memory management, and multithreading judgment in real codebases.
• - Support high-reliability expectations for mission-critical systems; uphold production quality, security, and maintainability on long-lived enterprise codebases.
• - Apply disciplined software engineering across design, implementation, testing, and delivery on complex production systems.
• - Mentor and raise the bar through code review and clear technical communication (English) with client stakeholders.
• - Work effectively with AI-assisted development workflows where appropriate — while maintaining accountability for production quality, security, and correctness on legacy C/C++ code.