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Job Description:
We are seeking an experienced Cognos Developer with strong expertise in Cognos Analytics 11 (C11) to design, develop, and maintain interactive dashboards and reports. The ideal candidate will work closely with business stakeholders to translate requirements into scalable BI solutions, leveraging Cognos Framework Manager, Report Studio, and Dashboard capabilities.
Key Responsibilities:
- Develop and maintain reports and dashboards using Cognos C11.
- Work with stakeholders to gather and analyze reporting requirements.
- Design data models and metadata using Framework Manager.
- Optimize report performance and troubleshoot issues.
- Ensure data accuracy and report integrity.
Required Skills:
- 3+ years of experience with IBM Cognos (preferably C11).
- Proficient in creating dashboards, visualizations, and reports.
- Strong SQL and data analysis skills.
- Experience with Framework Manager and Data Modules.
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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Lead Frontend Architect (Vue.js & Firebase)
Amplifai transforms AI potential into measurable business value, guiding organizations from strategic planning to execution. With deep expertise in AI product development, technical architecture, regulatory compliance, and commercialization, we deliver secure, ethical, and high-performing solutions. Having co-founded one of Europe’s most innovative AI companies, our team drives unparalleled growth for clients through cutting-edge technologies like GPT tools, AI agents, and modern frameworks. Join our new Pune office to shape the future of AI-driven innovation!
One of our partners is transforming how the construction industry measures and manages carbon emissions, helping organizations meet their sustainability goals with accurate, scalable, and actionable insights. Their SaaS platform enables carbon footprint calculations, Life Cycle Assessment (LCA) data management, and complex environmental reporting — and we’re ready to take it from 70 customers to 700+ enterprise clients.
We’re seeking a Senior Cloud Architect & Tech Lead to spearhead the next phase of our platform’s growth. You’ll lead architectural decisions for a complex sustainability and carbon accounting platform built on Firebase/Google Cloud with a Vue.js frontend, driving scalability, enterprise readiness, and technical excellence. This is a hands-on leadership role where you’ll guide the engineering team, optimize system performance, and shape a long-term technical roadmap to support 10x growth — all while leveraging cutting-edge GenAI developer tools like Cursor, Claude, Lovable, and GitHub Copilot to accelerate delivery and innovation.
Key Responsibilities:
· Lead architecture design for a highly scalable, enterprise-ready SaaS platform built with Vue.js, Firebase Functions (Node.js), Firestore, Redis, and GenKit AI.
· Design and optimize complex hierarchical data models and computational workloads for high performance at scale.
· Evaluate platform evolution options — from deep Firebase optimizations to potential migration strategies — balancing technical debt, scalability, and enterprise needs.
· Implement SOC2/ISO27001-ready security controls including audit logging, data encryption, and enterprise-grade access management.
· Drive performance engineering to address Firestore fan-out queries, function cold starts, and database scaling bottlenecks.
· Oversee CI/CD automation and deployment pipelines for multi-environment enterprise releases.
· Design APIs and integration strategies to meet enterprise customer requirements and enable global scaling.
· Mentor and guide the development team, ensuring technical quality, scalability, and adoption of best practices.
· Collaborate cross-functionally with product managers, sustainability experts, and customer success teams to deliver impactful features and integrations.
· Plan and execute disaster recovery strategies, business continuity procedures, and cost-optimized infrastructure scaling.
· Maintain comprehensive technical documentation for architecture, processes, and security controls.
Required Skills & Experience:
· 5+ years of Google Cloud Platform experience with deep expertise in the Firebase ecosystem.
· Proven ability to scale SaaS platforms through 5–10x growth phases, ideally in an enterprise B2B environment.
· Strong background in serverless architecture, event-driven systems, and scaling NoSQL databases (Firestore, MongoDB, DynamoDB).
· Expertise in Vue.js for large-scale application performance and maintainability.
· Hands-on experience implementing enterprise security frameworks (SOC2, ISO27001) and compliance requirements.
· Demonstrated daily use of GenAI developer tools such as Cursor, Claude, Lovable, and GitHub Copilot to accelerate coding, documentation, and architecture work.
· Track record of performance optimization for high-traffic production systems.
· 3+ years leading engineering teams through architectural transitions and complex technical challenges.
· Strong communication skills to work with both technical and non-technical stakeholders.
Preferred Qualifications
· Domain knowledge in construction industry workflows or sustainability technology (LCA, carbon accounting).
· Experience with numerical computing, scientific applications, or computationally intensive workloads.
· Familiarity with multi-region deployments and advanced analytics architectures.
· Knowledge of data residency and privacy regulations
· Knowledge of BIM (Building Information Modeling), IFC standards for construction and engineering data interoperability.
Ideal Candidate
You’re a Senior Software Engineer who thrives on scaling complex systems for enterprise customers. You embrace GenAI tools as an integral part of your development workflow, using platforms like Cursor, Claude, Lovable, and GitHub Copilot to deliver faster and smarter. Experience with BIM, IFC, or Speckle is a strong plus, enabling you to bridge sustainability tech with real-world construction data standards. You balance deep technical execution with strategic thinking and can communicate effectively across teams. While direct sustainability or construction tech experience is a plus, your ability to quickly master complex domains is what will set you apart.
As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.
Key Responsibilities:
● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.
● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.
● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.
● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.
● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.
● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.
● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.
● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.
● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.
● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.
Job requirements
Education and Experience:
- A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
- Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.
Technical Skills:
- Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
- Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
- Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
- Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
- Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
- Experience building end-to-end ML systems (MLOps).
- Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
- Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
- Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
- Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
- Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
- Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.
Soft Skills:
- Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
- Ability to work with cross-functional and cross-regional teams.
- Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
- Excellent written and verbal communication skills, comfortable with client communication.
- Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
- Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
- Possess excellent analytical and problem-solving abilities.
- Good documentation skills.
- Experienced with Agile methodologies like Scrum/Kanban
Minimum requirements
5+ years of industry software engineering experience (does not include internships nor includes co-ops)
Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users
Preferred Qualifications
Experience with large-scale financial tracking systems
Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)
The Human Resource Manager will perform the routine functions of hiring and interviewing staff, administering pay, benefits, setting up and enforcing company policies and practices.
- Provides constructive and timely performance evaluations.
- Handles discipline and termination of employees in accordance with company policy.
- Partners with the leadership team to understand and execute the organizations human resource and talent strategy particularly as it relates to current and future talent needs, recruiting, retention, and succession planning.
- Manages the talent acquisition process, which may include recruitment, interviewing, and hiring of qualified job applicants, particularly for managerial, exempt, and professional roles; collaborates with departmental managers to understand skills and competencies required for openings.
- Analyzes trends in compensation and benefits; researches and proposes competitive base and incentive pay programs to ensure the organization attracts and retains top talent.
- Creates learning and development programs and initiatives that provide internal development opportunities for employees.
- Oversees employee disciplinary meetings, terminations, and investigations.
- Maintains compliance with regulation authorities and local employment laws and regulations, and recommended best practices; reviews policies and practices to maintain compliance.
- Maintains knowledge of trends, best practices, regulatory changes, and new technologies in human resources, talent management, and employment law.
- Performs other duties as assigned.
Responsibility:
∙Develop and maintain code following predefined cost, company and security
standards.
∙Work on bug fixes, supporting in the maintenance and improvement of existing
applications.
∙Elaborate interfaces using standards and design principles defined by the team.
∙Develop systems with high availability.
∙Attend and contribute to development meetings.
∙Well versed with Unit testing and PSR Standards.
∙Master Software Development lifecycle, standards and technologies used by the
team.
∙Deliver on time with high quality.
∙Write Automation tests before to API call to code it and test it.
∙Trouble Shooting and debugging skills.
∙Perform technical documentation of the implemented tasks.
stack).should be proficient in working with technologies like JavaScript, CSS, framework like ReactJS and
backend environments like NodeJS.
Should have good working knowledge of NoSQL/SQL databases like MongoDB/Postgres etc.
Required Skills
- Experience in B2B selling of Software & Cloud services
- Experience in selling to C-level executives
- Excellent communication & interpersonal skills
- Should be good with Microsoft / Google ( Word, Excel, Powerpoint )
- Should have excellent negotiation skills
- Should be able to use a good CRM tool like Hubspot
Responsibilities
- You will be part of the core sales team and will work with the directors
- Build relationships with prospective clients
- Analyse the market and establish competitive advantages
- Generate new leads and keep the existing leads warm
- Create & maintain sales pipeline
- Create proposals & close the deals
Technology Skills
- Advanced Javascript framework: ReactJS, AngularJS, BackboneJS.
- Familiarity with common Javascript Libraries such as jQuery would be a plus.
- NodeJS knowledge is a plus.
- Fluent in responsive design and mobile / tablet UI / UX.
- Knowledge about UI testing automation.
- Web mobile (touch devices: mobiles and tablets) experience is expected.
- UI Performance: should have hands on experience of optimising page load, rendering, caching
- Good understanding of AJAX and its UI implications.
- Sense for appeal & aesthetics from a usability perspective.
Soft Skills
- Obsessed with best practices and have an eye for detail.
- Self starter with a high level of drive and commitment.
- High energy and drive to work in a startup environment.
- Conceptual thinking, flexibility and ability to juggle with multiple responsibilities.
- Ability to work under pressure and confidence to deal with complex issues.
- Strong communication skills.
- Hands-on and detail oriented.
MUST Have
- 4-6 years of experience in application software development ( UI stack development )
- Sound knowledge of computer science fundamentals
- Proven ability to design and implement a complex (scalable and distributed ) application software on linux platform
- Hands on any of the language reactjs, Javascript
- Expert in software processes and tools ( Agile, CI/CD, Git, Jenkins )
Good to Have
- Experience in application migration to cloud





