ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data for [mention industry]). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.
We are seeking a dynamic and results-oriented Marketing Head to spearhead all aspects of our web lead generation efforts. This role will be crucial in driving qualified traffic to our website, nurturing leads, and ultimately converting them into paying customers. The ideal candidate will be a data-driven marketer with a proven track record of success in B2B lead generation campaigns. Key Responsibilities: Develop and execute comprehensive digital marketing strategies to drive website traffic and generate high-quality leads. Manage and optimize all digital marketing channels , including: Search Engine Optimization (SEO): On-page and off-page optimization, keyword research, competitor analysis. Search Engine Marketing (SEM): Paid search campaigns (Google Ads, etc.), campaign optimization, and budget management. Social Media Marketing (SMM): Organic and paid social media campaigns on relevant platforms (LinkedIn, Twitter, etc.). Content Marketing: Develop and publish high-quality, engaging content (blog posts, white papers, case studies, webinars) to attract and nurture leads. Email Marketing: Develop and execute targeted email campaigns for lead nurturing and conversion. Website Analytics & Tracking: Monitor website traffic, track key metrics (e.g., conversion rates, cost per acquisition), and analyze data to optimize campaigns. Build and maintain a strong online presence through social media engagement, online communities, and industry events. Conduct market research to identify target audiences, competitor analysis, and industry trends. Manage the marketing budget effectively and efficiently. Collaborate with sales and other departments to ensure seamless lead flow and customer acquisition. Stay abreast of the latest digital marketing trends and technologies and continuously improve our marketing efforts. Qualifications: Bachelor's degree in Marketing, Business Administration, or a related field. 7+ years of experience in B2B digital marketing, with a strong focus on lead generation. Proven track record of success in driving website traffic and generating qualified leads. Strong understanding of SEO, SEM, SMM, and content marketing principles. Experience with CRM and marketing automation platforms (e.g., HubSpot, Marketo, Salesforce). Excellent analytical and data-driven decision-making skills. Strong project management and organizational skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.
We are looking for a Senior .NET Developer with strong expertise in building scalable APIs and cloud-native solutions using AWS. This role focuses on logistics/transportation systems and requires leadership, mentoring, and hands-on development across modern .NET technologies. Key Technical Skills : Languages/Frameworks: C#, .NET Core, ASP.NET Core Web API Data Access: Entity Framework Core, LINQ, Dapper (Micro-ORM), PostgreSQL Cloud: AWS (Lambda, S3, SQS/SNS, X-Ray, Secrets Manager) Architecture: Clean Architecture, SOLID principles, Microservices Testing/Dev Tools: xUnit, Swagger, Git, Fluent Validation, Serilog Security: CORS, API Versioning, Secure Coding Practices Responsibilities: Design and develop high-performance APIs and microservices Build and deploy cloud-native apps using AWS services Lead code reviews, enforce clean code and architecture principles • Mentor junior developers and foster best practices • Collaborate on requirement analysis, planning, and estimation Maintain documentation, ensure test coverage and system reliability Preferred Experience & Domain : 3–4 years of hands-on experience in .NET development 2+ years working with AWS cloud infrastructure Experience in logistics or transportation domains (preferred) Technical leadership or mentoring background Soft Skills: Excellent problem-solving and debugging skills Strong communication and collaboration abilities Experience in planning, estimation, and project execution Passion for knowledge sharing and team growth Education & Certifications: Bachelor’s degree in Computer Science or related field Preferred: AWS or Microsoft .NET certifications
About the Role: We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI – capable of intelligent provisioning, configuration, observability, and self-healing. Key Responsibilities: Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities. Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows. Build solutions that automate infrastructure provisioning , CI/CD , incident remediation , and drift detection . Develop reusable components and frameworks using IaC (Terraform, Pulumi, CloudFormation) and configuration management tools (Ansible, Chef, etc.). Partner with AI/ML engineers and SREs to design intelligent infrastructure decision-making logic. Implement secure and scalable infrastructure on cloud platforms ( AWS, Azure, GCP ). Continuously improve agent performance through feedback loops , telemetry , and fine-tuning of models. Drive DevSecOps best practices, compliance, and observability. Mentor DevOps engineers and collaborate with cross-functional teams (AI/ML, Platform, and Product). Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in DevOps, SRE, or Infrastructure Engineering. Proven experience in leading infrastructure automation projects and technical teams. Expertise with one or more cloud platforms: AWS, Azure, GCP . Deep knowledge of tools like Terraform , Kubernetes , Helm , Docker , Jenkins , and GitOps . Hands-on experience integrating or building with LLMs / GenAI APIs (e.g., OpenAI, Anthropic, Cohere) . Familiarity with LangChain , AutoGen , or custom agent frameworks . Experience with programming/scripting languages: Python, Go, or Bash . Understanding of cloud security, policy as code , and monitoring tools (Prometheus, Grafana, Datadog). Preferred Qualifications: Experience building or fine-tuning LLM-based agents for operations or automation tasks. Contributions to open-source GenAI or DevOps projects. Understanding of MLOps pipelines and AI infrastructure. Certifications in DevOps, cloud, or AI technologies (e.g., AWS DevOps Engineer, Azure AI Engineer).
You are looking for a DevOps Technical Lead who will play a crucial role in leading the development of an Infrastructure Agent powered by Generative AI (GenAI) technology. In this role, you will be responsible for designing and implementing an intelligent Infra Agent that can handle provisioning, configuration, observability, and self-healing autonomously. Your key responsibilities will include leading the architecture and design of the Infra Agent, integrating various automation frameworks to enhance DevOps workflows, automating infrastructure provisioning and incident remediation, developing reusable components and frameworks using Infrastructure as Code (IaC) tools, and collaborating with AI/ML engineers and SREs to create intelligent infrastructure decision-making logic. You will also be expected to implement secure and scalable infrastructure on cloud platforms such as AWS, Azure, and GCP, continuously improve agent performance through feedback loops, telemetry, and model fine-tuning, drive DevSecOps best practices, compliance, and observability, as well as mentor DevOps engineers and work closely with cross-functional teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 8 years of experience in DevOps, SRE, or Infrastructure Engineering. You must have proven experience in leading infrastructure automation projects, expertise with cloud platforms like AWS, Azure, GCP, and deep knowledge of tools such as Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience with LLMs/GenAI APIs, familiarity with automation frameworks, and proficiency in programming/scripting languages like Python, Go, or Bash are also required. Preferred qualifications for this role include experience in building or fine-tuning LLM-based agents, contributions to open-source GenAI or DevOps projects, understanding of MLOps pipelines and AI infrastructure, and certifications in DevOps, cloud, or AI technologies.,
We are seeking an experienced and results-driven Business Development Executive to join our growing team. The ideal candidate will have a proven track record of success in generating qualified leads, closing deals, and driving revenue growth within the IT services or IT product sectors. This role will focus on expanding our market share in the North America and Europe regions. The successful candidate will be a highly motivated self-starter with exceptional communication and negotiation skills. Drive end-to-end inside sales activities for IT services, including software development, automation, AI and testing services. Generate and qualify leads through cold calling, email campaigns, LinkedIn outreach, and industry events. Identify and pursue new business opportunities in targeted regions and industries. Present ideyaLabs’ value proposition, capabilities, and solutions to decision-makers. Work closely with Sales Leadership to develop and execute sales strategies. Maintain a healthy sales pipeline and meet or exceed monthly/quarterly targets. Manage CRM records with updated lead, opportunity, and deal information. Coordinate with delivery teams for proposals, SOWs, and client presentations. Achieve revenue goals with a competitive, commission-oriented mindset. Required Skills & Qualifications: 5–7 years of experience in inside sales for IT services/software development. Proven track record in closing deals and achieving sales quotas. Strong understanding of SDLC, IT outsourcing, offshore models, and enterprise technology trends. Excellent communication, presentation, and negotiation skills. Experience using CRM tools (HubSpot, Salesforce, or similar). Self-driven, competitive, and motivated by commissions and incentives. Ability to work in a fast-paced, target-driven environment. .
We are looking for a Senior .NET Developer with strong expertise in building scalable APIs and cloud-native solutions using AWS. This role focuses on logistics/transportation systems and requires leadership, mentoring, and hands-on development across modern .NET technologies. Key Technical Skills :• Languages/Frameworks: C#, .NET Core, ASP.NET Core Web API• Data Access: Entity Framework Core, LINQ, Dapper (Micro-ORM), PostgreSQL• Cloud: AWS (Lambda, S3, SQS/SNS, X-Ray, Secrets Manager)• Architecture: Clean Architecture, SOLID principles, Microservices• Testing/Dev Tools: xUnit, Swagger, Git, Fluent Validation, Serilog• Security: CORS, API Versioning, Secure Coding Practices Responsibilities: • Design and develop high-performance APIs and microservices• Build and deploy cloud-native apps using AWS services• Lead code reviews, enforce clean code and architecture principles• Mentor junior developers and foster best practices • Collaborate on requirement analysis, planning, and estimation• Maintain documentation, ensure test coverage and system reliability Preferred Experience & Domain :• 5–10years of hands-on experience in .NET development• 2+ years working with AWS cloud infrastructure• Experience in logistics or transportation domains (preferred)• Technical leadership or mentoring background Soft Skills: • Excellent problem-solving and debugging skills• Strong communication and collaboration abilities• Experience in planning, estimation, and project execution• Passion for knowledge sharing and team growth Education & Certifications: • Bachelor’s degree in Computer Science or related field• Preferred: AWS or Microsoft .NET certifications Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Application Question(s): What is your Notice Period after Negotiation? Work Location: In person Speak with the employer +91 9154964371
ideyaLabs is looking for a talented and innovative Generative AI Engineer with experience in utilizing Low-Code/No-Code (LCNC) platforms. In this role, you will play a key part in developing and deploying cutting-edge generative AI models while leveraging LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate should have a strong understanding of generative AI techniques, programming proficiency, and a keen interest in exploring the synergy between AI and rapid application development. Responsibilities Generative AI Model Development & Deployment: - Design, develop, train, and evaluate generative AI models for various applications such as text generation, image synthesis, code generation, and synthetic data generation. - Implement and optimize generative AI models using frameworks like TensorFlow, PyTorch, and Transformers. - Deploy and scale generative AI models on cloud platforms such as AWS, Azure, GCP, or on-premise infrastructure. - Stay updated with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: - Utilize LCNC platforms like Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, and Quixy to rapidly prototype and build applications integrating generative AI models. - Develop user interfaces and workflows using LCNC visual development tools. - Connect generative AI APIs and services to LCNC applications. - Build and deploy data connectors and integrations between systems using LCNC capabilities. Integration & Application Development: - Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. - Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. - Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: - Research and experiment with new generative AI models, LCNC platforms, and integration techniques. - Evaluate the feasibility of applying generative AI to solve specific business problems. - Contribute to developing best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: - Work closely with cross-functional teams, including product managers, designers, and business stakeholders. - Communicate technical findings and progress effectively to both technical and non-technical audiences. - Participate in code reviews and knowledge-sharing activities. Qualifications Education: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: - 3+ years of experience in developing and deploying machine learning models, focusing on generative AI. - Proven experience with at least one or more Low-Code/No-Code development platforms. - Experience in building and consuming APIs (RESTful, etc.). Technical Skills: - Strong programming skills in Python and experience with AI/ML libraries like TensorFlow, PyTorch, scikit-learn, and Transformers. - Solid understanding of deep learning concepts and architectures relevant to generative models such as GANs, VAEs, Diffusion Models, and Transformers. - Experience with cloud platforms like AWS, Azure, GCP and their AI/ML services. - Familiarity with data preprocessing, feature engineering, model evaluation techniques, database concepts, SQL, visual development tools, and integration capabilities of LCNC platforms. Soft Skills: - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Quick learner with an ability to adapt to new technologies. - Proactive, self-motivated, with a sense of ownership. - Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: - Experience with specific generative AI applications relevant to the industry. - Familiarity with containerization technologies like Docker, Kubernetes. - Experience with MLOps practices and tools. - Certifications in relevant AI/ML or LCNC platforms.,
As an Architectural Design professional, you will be responsible for designing and defining the overall architecture of Java-based applications. Your role will involve creating technical blueprints and specifications, selecting appropriate technologies, frameworks, and tools to ensure that the architecture meets business requirements and scalability needs. In terms of Technical Leadership, you will provide guidance and mentorship to development teams, lead code reviews to ensure adherence to coding standards and best practices, and drive innovation while promoting the adoption of new technologies. You will also be involved in System Optimization by optimizing system performance, scalability, and security. Your responsibilities will include troubleshooting and resolving complex technical issues, as well as conducting performance testing and analysis. Collaboration and Communication are key aspects of this role, as you will collaborate with cross-functional teams such as developers, project managers, and business stakeholders. You will need to effectively communicate complex technical concepts to both technical and non-technical audiences, as well as work with stakeholders to gather and analyze requirements. In terms of Technology Evaluation, you will be required to evaluate and recommend new technologies and tools. It is essential to stay up-to-date on emerging trends in Java development and related technologies, while ensuring that security best practices are being followed. Skills and qualifications required for this role include extensive Java expertise, proficiency in Java programming and related frameworks (e.g., Spring, Spring Boot, Hibernate), knowledge of Java design patterns and best practices, experience with microservices architecture and cloud platforms (e.g., AWS, Azure, GCP), solid understanding of software architecture principles and design patterns, experience with database technologies (SQL and NoSQL), familiarity with DevOps practices and tools (e.g., CI/CD, Docker, Kubernetes), knowledge of web services (REST, SOAP), strong problem-solving and analytical skills. Soft skills such as excellent communication and interpersonal skills, strong leadership and mentorship abilities, the ability to work in a fast-paced environment, and the ability to make good technical decisions are also essential for this role. The ideal candidate should have a Bachelor's or Master's degree in Computer Science or a related field, proven experience as a Java Architect or similar role, and significant experience in software development.,
We are looking for a Senior .NET Developer with strong expertise in building scalable APIs and cloud-native solutions using AWS. This role focuses on logistics/transportation systems and requires leadership, mentoring, and hands-on development across modern .NET technologies. Key Technical Skills Languages/Frameworks : C#, .NET Core, ASP.NET Core Web API Data Access : Entity Framework Core, LINQ, Dapper (Micro-ORM), PostgreSQL Cloud : AWS (Lambda, S3, SQS/SNS, X-Ray, Secrets Manager) Architecture : Clean Architecture, SOLID principles, Microservices Testing/Dev Tools : xUnit, Swagger, Git, Fluent Validation, Serilog Security : CORS, API Versioning, Secure Coding Practices Responsibilities Design and develop high-performance APIs and microservices Build and deploy cloud-native apps using AWS services Lead code reviews, enforce clean code and architecture principles Mentor junior developers and foster best practices Collaborate on requirement analysis, planning, and estimation Maintain documentation, ensure test coverage and system reliability Preferred Experience & Domain 5-10years of hands-on experience in .NET development 2+ years working with AWS cloud infrastructure Experience in logistics or transportation domains (preferred) Technical leadership or mentoring background Soft Skills Excellent problem-solving and debugging skills Strong communication and collaboration abilities Experience in planning, estimation, and project execution Passion for knowledge sharing and team growth Education & Certifications Bachelor's degree in computer science or related field Preferred : AWS or Microsoft .NET certifications (ref:hirist.tech)
You are a Senior .NET Developer with a strong background in building scalable APIs and cloud-native solutions using AWS. Your primary focus will be on logistics/transportation systems, where you will be responsible for providing leadership, mentoring, and hands-on development using modern .NET technologies. Key Technical Skills - Languages/Frameworks: You should be proficient in C#, .NET Core, and ASP.NET Core Web API. - Data Access: Experience with Entity Framework Core, LINQ, Dapper (Micro-ORM), and PostgreSQL is required. - Cloud: Hands-on experience with AWS services such as Lambda, S3, SQS/SNS, X-Ray, and Secrets Manager is essential. - Architecture: Familiarity with Clean Architecture, SOLID principles, and Microservices is expected. - Testing/Dev Tools: Knowledge of xUnit, Swagger, Git, Fluent Validation, and Serilog is a plus. - Security: Understanding of CORS, API Versioning, and Secure Coding Practices is necessary. Responsibilities - Design and develop high-performance APIs and microservices to meet project requirements. - Build and deploy cloud-native applications using various AWS services according to best practices. - Lead code reviews, ensure clean code and architecture principles are followed throughout the development process. - Mentor junior developers, guiding them in adopting best practices and improving their technical skills. - Collaborate with the team on requirement analysis, project planning, and estimation to deliver high-quality solutions. - Maintain documentation, ensure adequate test coverage, and focus on system reliability to meet business needs. Preferred Experience & Domain - You should have 5-10 years of hands-on experience in .NET development. - Minimum of 2 years of experience working with AWS cloud infrastructure is required. - Experience in logistics or transportation domains is preferred for this role. - Any prior experience in technical leadership or mentoring will be beneficial. Soft Skills - Strong problem-solving and debugging skills are essential for this position. - Excellent communication and collaboration abilities are necessary to work effectively with the team. - Experience in project planning, estimation, and successful project execution is valuable. - A passion for knowledge sharing and team growth is highly encouraged. Education & Certifications - A Bachelor's degree in computer science or a related field is required. - Preferred certifications in AWS or Microsoft .NET will be advantageous for this role.,
You are a talented and innovative Generative AI Engineer with experience in leveraging Low-Code/No-Code (LCNC) platforms. In this role, you will be developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. Your strong understanding of generative AI techniques, proficiency in programming, and passion for exploring the synergy between AI and rapid application development will be key in this position. **Key Responsibilities:** - Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). - Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). - Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. - Stay up-to-date with the latest advancements in generative AI research and techniques. - Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. - Develop user interfaces and workflows using LCNC visual development tools. - Connect generative AI APIs and services to LCNC applications. - Build and deploy data connectors and integrations between various systems using LCNC capabilities. - Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. - Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. - Develop and maintain documentation for AI models, LCNC applications, and integration processes. - Research and experiment with new generative AI models, LCNC platforms, and integration techniques. - Evaluate the feasibility and potential of applying generative AI to solve specific business problems. - Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. - Work closely with cross-functional teams, including product managers, designers, and business stakeholders. - Communicate technical findings and progress effectively to both technical and non-technical audiences. - Participate in code reviews and knowledge-sharing activities. **Qualifications:** - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. **Experience:** - 3+ years of experience in developing and deploying machine learning models, with a focus on generative AI. - Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). - Experience in building and consuming APIs (RESTful, etc.). **Technical Skills:** - Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). - Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). - Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. - Familiarity with data preprocessing, feature engineering, and model evaluation techniques. - Understanding of database concepts and SQL. - Proficiency in using visual development tools and integration capabilities of LCNC platforms. **Soft Skills:** - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to learn quickly and adapt to new technologies. - Proactive and self-motivated with a strong sense of ownership. - Passion for innovation and exploring the potential of generative AI.,
Role Overview: As a Database Engineer, you will be responsible for conducting MySQL migrations, optimizing database performance, managing data storage, and ensuring transaction integrity for seamless migration. Additionally, you will implement and manage messaging tools such as Kafka and RabbitMQ to facilitate reliable data flow in distributed systems, especially for high transaction volumes. Utilizing version control tools like Git and Code Commit will also be essential for efficient code collaboration, branching, and deployment. Key Responsibilities: - Conduct MySQL migrations and optimize database performance - Manage data storage and reporting for transaction integrity and seamless migration - Implement and manage messaging tools such as Kafka and RabbitMQ for reliable data flow - Use version control tools like Git and Code Commit for efficient code collaboration, branching, and deployment Qualifications Required: - Degree in Computer Science, Engineering, or equivalent technical field - Strong SQL skills to handle complex queries - Hands-on experience in AWS Cloud environments for deployment and management - Proficiency with MySQL data migrations, database management, and performance optimization - Knowledge in PHP programming (a plus) - Familiarity with Kafka and RabbitMQ messaging tools - Experience with Git, Code Commit, or Codebase for version control,
The QA Technical Delivery Manager is responsible for overseeing end-to-end quality assurance and project delivery across multiple IT engagements. This role combines leadership in project management, deep QA technical expertise, and strong client-facing skills to ensure project success, client satisfaction, and strategic account growth. The manager will act as a bridge between technical teams and clients—ensuring delivery excellence, maintaining SLAs, and identifying business expansion opportunities. Delivery & Project Management Manage the planning, execution, and delivery of multiple QA projects using Agile or hybrid methodologies. Define project scope, objectives, timelines, and resource allocation aligning with client and business goals. Track key metrics such as defect density, test coverage, and sprint velocity to ensure project health. Anticipate risks, propose mitigation strategies, and maintain delivery schedules within time and budget constraints. Quality Assurance Leadership Oversee manual and automation testing strategies across web, mobile, and enterprise platforms. Define and implement test processes, frameworks, and automation pipelines (Selenium, Cypress, Appium, Postman, etc.). Drive adoption of continuous integration/continuous deployment (CI/CD) and QA best practices. Ensure compliance with QA standards, methodologies, and defect lifecycles for efficient issue resolution. Client & Stakeholder Management Serve as the primary delivery interface for client accounts, ensuring satisfaction and proactive issue resolution. Conduct regular governance calls, status reviews, and performance presentations with stakeholders. Understand evolving client needs and translate them into actionable delivery plans and business proposals. Build trust by demonstrating value-added leadership beyond project execution, contributing to account retention and growth. Team Leadership & Collaboration Lead cross-functional QA teams including test leads, automation engineers, and analysts. Mentor and upskill teams to foster a culture of continuous improvement and technical excellence. Facilitate collaboration between QA, development, and operations to ensure smooth delivery pipelines. Account Growth & Strategy Identify growth opportunities within existing client accounts through value delivery and innovation. Partner with sales and leadership teams to propose extensions, add new QA service lines, and increase revenue. Contribute to organizational strategy on QA transformation initiatives and service differentiators. Required Skills & Qualifications Bachelor’s or master’s degree in computer science, Engineering, or related field. 10–15 years of experience in QA/testing and delivery management within IT services. Proven success in managing large-scale QA delivery across multiple clients and platforms. Strong understanding of SDLC, STLC, Agile/Scrum methodologies, and DevOps practices. Proficiency in test automation tools (Selenium, Cypress, Postman), CI/CD pipelines, and cloud-based testing. Exceptional client communication, negotiation, and stakeholder management skills. PMP/Prince2/Agile certification is preferred. Experience in growing client accounts and managing large QA teams. Desired Attributes Strategic thinker with a client-centric approach. Strong decision-making, analytical, and problem-solving capabilities. Ability to manage multiple delivery portfolios simultaneously. Passionate about innovation, accountability, and team-building. Performance Indicators On-time and within-budget project delivery rate. QA quality metrics achievement (defect leakage, automation coverage). Client satisfaction scores (CSAT/NPS). Account growth and revenue increase from existing clients. Team performance and retention rates.
The Technical Delivery Manager is responsible for managing the end-to-end delivery of technology projects, ensuring they are completed on time, within budget, and meet business and quality expectations. The role involves coordinating between cross-functional teams including engineering, product, QA, and business stakeholders to drive successful project execution and delivery. Key Responsibilities: Oversee the planning, execution, and delivery of multiple technology projects and initiatives. Collaborate with project managers, architects, developers, and QA teams to ensure smooth delivery and alignment with technical goals. Define and manage project scope, timelines, risks, dependencies, and deliverables . Ensure adherence to agile/scrum methodologies and best practices across teams. Drive technical excellence and ensure adherence to architecture, coding, and security standards. Track and report delivery status , risks, and issues to leadership and stakeholders. Manage resource allocation, workload balancing, and capacity planning for delivery teams. Facilitate technical discussions and help resolve delivery roadblocks and dependencies. Work closely with clients or business stakeholders to gather requirements and translate them into technical deliverables. Drive continuous improvement in delivery processes, tools, and performance metrics. Key Skills and Competencies: Strong understanding of software development lifecycle (SDLC) and agile delivery frameworks. Hands-on experience with project management tools (e.g., Jira, Confluence, MS Project). Proven ability to manage multiple projects in a fast-paced environment. Excellent stakeholder management, communication, and leadership skills. Strong problem-solving and decision-making abilities. Technical background in software development, cloud, or infrastructure preferred. Ability to lead cross-functional technical teams (.NET, Java, AI/ML, DevOps)
We are seeking a dynamic and results-oriented Marketing Head to spearhead all aspects of our web lead generation efforts. This role will be crucial in driving qualified traffic to our website, nurturing leads, and ultimately converting them into paying customers. The ideal candidate will be a data-driven marketer with a proven track record of success in B2B lead generation campaigns. Key Responsibilities: Develop and execute comprehensive digital marketing strategies to drive website traffic and generate high-quality leads. Manage and optimize all digital marketing channels , including: Search Engine Optimization (SEO): On-page and off-page optimization, keyword research, competitor analysis. Search Engine Marketing (SEM): Paid search campaigns (Google Ads, etc.), campaign optimization, and budget management. Social Media Marketing (SMM): Organic and paid social media campaigns on relevant platforms (LinkedIn, Twitter, etc.). Content Marketing: Develop and publish high-quality, engaging content (blog posts, white papers, case studies, webinars) to attract and nurture leads. Email Marketing: Develop and execute targeted email campaigns for lead nurturing and conversion. Website Analytics & Tracking: Monitor website traffic, track key metrics (e.g., conversion rates, cost per acquisition), and analyze data to optimize campaigns. Build and maintain a strong online presence through social media engagement, online communities, and industry events. Conduct market research to identify target audiences, competitor analysis, and industry trends. Manage the marketing budget effectively and efficiently. Collaborate with sales and other departments to ensure seamless lead flow and customer acquisition. Stay abreast of the latest digital marketing trends and technologies and continuously improve our marketing efforts. Qualifications: Bachelor's degree in Marketing, Business Administration, or a related field. 7+ years of experience in B2B digital marketing, with a strong focus on lead generation. Proven track record of success in driving website traffic and generating qualified leads. Strong understanding of SEO, SEM, SMM, and content marketing principles. Experience with CRM and marketing automation platforms (e.g., HubSpot, Marketo, Salesforce). Excellent analytical and data-driven decision-making skills. Strong project management and organizational skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.
We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI – capable of intelligent provisioning, configuration, observability, and self-healing. Key Responsibilities: Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities. Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows. Build solutions that automate infrastructure provisioning , CI/CD , incident remediation , and drift detection . Develop reusable components and frameworks using IaC (Terraform, Pulumi, CloudFormation) and configuration management tools (Ansible, Chef, etc.). Partner with AI/ML engineers and SREs to design intelligent infrastructure decision-making logic. Implement secure and scalable infrastructure on cloud platforms ( AWS, Azure, GCP ). Continuously improve agent performance through feedback loops , telemetry , and fine-tuning of models. Drive DevSecOps best practices, compliance, and observability. Mentor DevOps engineers and collaborate with cross-functional teams (AI/ML, Platform, and Product). Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in DevOps, SRE, or Infrastructure Engineering. Proven experience in leading infrastructure automation projects and technical teams. Expertise with one or more cloud platforms: AWS, Azure, GCP . Deep knowledge of tools like Terraform , Kubernetes , Helm , Docker , Jenkins , and GitOps . Hands-on experience integrating or building with LLMs / GenAI APIs (e.g., OpenAI, Anthropic, Cohere) . Familiarity with LangChain , AutoGen , or custom agent frameworks . Experience with programming/scripting languages: Python, Go, or Bash . Understanding of cloud security, policy as code , and monitoring tools (Prometheus, Grafana, Datadog). Preferred Qualifications: Experience building or fine-tuning LLM-based agents for operations or automation tasks. Contributions to open-source GenAI or DevOps projects. Understanding of MLOps pipelines and AI infrastructure. Certifications in DevOps, cloud, or AI technologies (e.g., AWS DevOps Engineer, Azure AI Engineer).
We are seeking an experienced Technical Lead with 8+ years of experience in system-level development, Linux administration, networking, and automation. The ideal candidate will lead cross-functional teams from design through production deployment, ensuring performance, scalability, and reliability across distributed systems. Key Responsibilities Lead cross-functional teams through design, development, and deployment phases. Establish, implement, and maintain coding and architecture standards. Design and develop system and user-space components using C/C++. Optimize performance, memory usage, and concurrency in distributed environments. Administer and troubleshoot complex Linux-based systems and services. Analyze, debug, and resolve network issues involving TCP/IP, DNS, HTTP, and routing. Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or GitLab. Automate testing, deployments, and maintenance processes to improve system reliability. Manage and optimize containerized environments using Docker and Kubernetes. Ensure system reliability, resilience, and auto-scaling capabilities across platforms. Serve as the technical escalation point during critical production incidents. Investigate, debug, and resolve production issues with urgency and accountability. Document system architectures, configurations, and standard operating procedures (SOPs). Mentor and guide team members to foster technical excellence and learning. Must-Have Skills Advanced hands-on expertise in C/C++ for performance tuning, system programming, and debugging. Deep understanding of Linux internals, shell scripting, and system-level diagnostics. Strong command of networking protocols, packet analysis, and troubleshooting tools. Proven experience in designing and maintaining scalable distributed systems. Proficiency in pipeline design, automation frameworks, and CI/CD processes. Comprehensive experience deploying and managing Docker and Kubernetes environments in production. Preferred Qualifications Experience with GitOps workflows and Infrastructure as Code tools (Ansible, Terraform). Knowledge of cloud platforms (AWS, Azure, GCP) for distributed system deployments. Familiarity with observability tools like Prometheus, Grafana, and ELK Stack. Ability to balance strategic technical leadership with hands-on engineering execution.