
Sr. Software Test Engineer
at Testing Services is a new age of Quality Engineering. (QA1)
- Understand functional and non-functional testing requirements for APIs
- Document functional and non-functional testing scenarios and cases where needed, on one of the test management tools
- Identify or create data for testing
- Automation framework design and implementation according to project structure
- Develop test automation scripts using tools like RestAssured and SoapUI
- Must be able to use all web methods like GET, PUT, POST, DELETE, etc.
- Validate feedback, response time, and error code
- Validate XML and JSON body using JSON Parser
- Raise PR to check in code for test automation scripts
- Conduct peer reviews of test cases and automation scripts
Mandatory Skills
- Intermediate to advanced level skill in programming using Java and/or Python
- Intermediate to advanced level skill in using API test automation tools and developing test automation frameworks - RESTAssured, Postman, SoapUI, Karate, Robot
- Intermediate to advanced level skill in working with databases preferably SQL
- Configuration management - GIT • Build management - Maven
- Continuous Integration - Jenkins
- Excellent verbal and written communication skills

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Job Title : SEO & Digital Marketing Specialist - (Web3 Product/Organization) (SMO, SEO, Meta Ads / Promotions Ads / PPC)
Experience : 2+ Years
Location : Noida Sector 18
Working Days : 6 Days (Monday to Friday WFO + Saturday WFH)
Job Summary :
We are looking for a results-driven SEO & Digital Marketing Specialist with hands-on experience in Web3 products/organizations. The ideal candidate will be responsible for enhancing online visibility, executing SEO/SMO strategies, managing paid campaigns, and driving growth through effective digital marketing initiatives.
Key Responsibilities :
- Develop and implement SEO strategies (on-page, off-page, technical) to increase organic traffic.
- Plan and execute SMO strategies to strengthen brand presence across social platforms.
- Manage and optimize paid ad campaigns (Meta Ads, Promotion Ads, PPC, Google Ads) for maximum ROI.
- Conduct keyword research, competitor analysis, and performance tracking for continuous improvement.
- Work with CMS platforms (excluding WordPress) to publish, update, and optimize content.
- Collaborate with Web3 product/organization teams to create tailored marketing campaigns.
- Stay updated with Web3 industry trends, SEO algorithms, and ad platform updates.
Mandatory Skills :
- SEO (on-page, off-page, technical)
- SMO (social media optimization & engagement)
- Paid Ads (Meta Ads, Promotion Ads, PPC, Google Ads)
- CMS management (any CMS except WordPress)
- Proven experience in Web3 products/organizations marketing
Job Title: Social Media & Email Marketing Executive
Location: Mohali (Work from Office)
Experience: 8 Months - 1year
Job Type: Full-Time
Working Days: 5 Days a Week
Responsibilities
- Manage social media accounts (LinkedIn, Instagram, Facebook, etc.).
- Create and schedule social media posts.
- Write engaging captions and content.
- Respond to comments and messages when required.
- Assist in planning and running email marketing campaigns.
- Send newsletters and promotional emails.
- Track the performance of social media and email campaigns.
- Coordinate with the design team for creatives.
- Stay updated with the latest social media trends.
Requirements
- 8 months - 1 year of experience in Social Media & Email Marketing.
- Good written and verbal communication skills.
- Basic knowledge of Canva or similar design tools.
- Familiarity with social media platforms and email marketing tools.
- Creative, organized, and eager to learn.
Qualification
Bachelor's degree in Marketing, Business, Communications, or a related field.
What We Are Looking For
CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.
Key Responsibilities-
AI and Agentic Platform Architecture
• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.
• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.
• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.
• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems
• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.
• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.
• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.
• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance
• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.
• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.
• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.
• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.
Cloud and Platform Engineering
• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.
• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.
• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.
• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.
Technical Leadership
• Translate product and business requirements into clear technical designs and implementation plans.
• Build prototypes and reference implementations for high-risk or foundational platform capabilities.
• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.
• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.
• Mentor senior engineers and support teams in resolving complex technical and production issues.
Required Skills and Experience
• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.
• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.
• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.
• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.
• Experience with relational, document, graph, vector, and distributed data systems.
• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.
• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.
• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.
Good to Have
• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.
• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.
• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.
• Experience supporting real-time and batch data processing at scale.
• Experience comparing and operating multiple commercial and open-source models.
• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery.
Role & Responsibilities
Lead the design, development, and deployment of complex, scalable, reliable, and highly available features for world-class SaaS products and services.
Guide the engineering team in adopting best practices for software development, code quality, and architecture.
Make strategic architectural and technical decisions, ensuring the scalability, security, and performance of software applications.
Proactively identify, prioritize, and address technical debt to improve system performance, maintainability, and long-term scalability, ensuring a solid foundation for future development.
Collaborate with cross-functional teams (product managers, designers, and stakeholders) to define project scope, requirements, and timelines.
Mentor and coach team members, providing technical guidance and fostering professional development.
Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards.
Drive continuous improvement in development processes, tools, and technologies to increase team productivity and product quality.
Stay updated with the latest industry trends and emerging technologies to drive innovation and keep the team at the cutting edge.
Ensure project timelines and goals are met, managing risks and resolving any technical challenges that arise during development.
Foster a collaborative and inclusive team culture, promoting open communication and problem-solving.
Imbibe and maintain a strong customer delight attitude while designing and building products.
Key Responsibilities:
• Manage the day-to-day accounting operations of the e-commerce business, including accounts payable and receivable, general ledger entries, bank reconciliations, and payroll processing
• Ensure timely and accurate recording of financial transactions in accordance with accounting principles and regulations
• Perform monthly and year-end closing procedures, including preparing financial statements and reports, such as profit and loss statements and balance sheets
• Reconcile financial discrepancies by collecting and analysing account information
• Work closely with the e-commerce team to provide financial insights and analysis for decision-making
• Develop and implement financial controls to ensure compliance with company policies and procedures
• Manage tax filings, including sales tax, use tax, and income tax
• Assist with budgeting and forecasting processes, as well as financial modelling and analysis
• Collaborate with external auditors to provide necessary documentation and support for audits
• Identify and implement cost-saving initiatives.
Qualifications: • Bachelor's degree in Accounting, Finance or related field
• 3+ years of experience in accounting, preferably in the e-commerce industry
• CPA or CMA certification preferred
• Excellent knowledge of accounting principles and regulations
• Experience with accounting software and e-commerce platforms
• Strong analytical and problem-solving skills
• Ability to work collaboratively with cross-functional teams
• Attention to detail and accuracy
• Excellent communication skills
• Proficient in Microsoft Office and accounting software
Reconciliation:
- Bank Reconciliation: Reconcile the bank statements with the company's cash book to ensure that all transactions are recorded accurately.
- Accounts Receivable Reconciliation: Reconcile the accounts receivable ledger with the general ledger to ensure that all accounts are accurate and up to date.
- Accounts Payable Reconciliation: Reconcile the accounts payable ledger with the general ledger to ensure that all vendor accounts are accurate and up to date.
- Intercompany Reconciliation: Reconcile transactions between different entities within the same company to ensure that all intercompany accounts are accurate and up to date.
- Payroll Reconciliation: Reconcile payroll records with bank statements to ensure that all payroll transactions are recorded accurately.
- General Ledger Reconciliation: Reconcile reconcile the general ledger with subsidiary ledgers to ensure that all accounts are accurate and up to date.
- E-commerce Platforms Reconciliation: Reconcile all the entries of all B2B and B2C e-commerce platforms.
Hey there! We are seeking a highly skilled and passionate Ruby on Rails developer to join our team. As a key member of our development team, you will be responsible for enhancing our product offerings and ensuring smooth operations and scalability of our existing infrastructure. If you have a strong foundation in RoR development, possess a knack for writing clean code, and are excited about building and scaling innovative products, we would love to hear from you.
To provide you with a brief overview of the job role, we are sharing the specific requirements that we expect from you. Please have a look:
Requirements:
- Proven experience working as a Ruby on Rails developer in a production environment.
- Strong knowledge of Ruby, Ruby on Rails framework, and PostgreSQL.
- Extensive experience with hosting and maintaining production applications on AWS, Google Cloud Platform (GCP) services.
- Solid understanding of real-time communication and experience with socket programming.
- Experience in implementing AI in real-world applications is a solid plus.
- Experience in front-end technologies, particularly Vue.js would be a plus
- Strong problem-solving skills and ability to analyze and debug complex issues.
- Experience leading a development team or mentoring junior developers.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
- Self-motivated and able to work independently with minimal supervision.
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Architect and implement scalable solutions using RoR, PostgreSQL, and AWS.
- Develop and maintain APIs, web services, and integrations with various third-party systems.
- Lead and collaborate with a team of developers to design, develop, and maintain high-quality scalable applications.
- Recruit and provide technical leadership and guidance to developers.
- Optimise and ensure the reliability of the backend infrastructure.
- Optimise application performance and ensure the scalability and security of the software.
- Stay up-to-date and passionate about the latest technologies, trends, and best practices in software development.
- Optimize the monthly spending on cloud infrastructure.
About Foaps:
We are an innovative startup empowering restaurants to excel in the online food delivery business. Our platform aggregates all online food delivery orders into a single consolidated dashboard, improving the efficiency of order management and aiding restaurant growth. With a strong presence in the Indian market and partnerships with major delivery services like Zomato, Swiggy, Dunzo, Thrive, and magicpin, we are making a significant impact in the restaurant industry. Backed by flat6labs Bahrain, our mission is to revolutionize how restaurants conduct their online food delivery business.
For more details visit our website www.foaps.co
Why Join Foaps?:
At Foaps, we offer compelling reasons for you to join our team:
- Collaborate directly with the founders: As a part of our team, you'll have the opportunity to work closely with the founders and actively participate in the decision-making processes of our early-stage startup. Your contributions will have a direct impact on shaping the direction and success of our business.
- Stock options: We believe in recognizing and rewarding the hard work and dedication of our team members. As a valued team member, you will be eligible for stock options based on your performance and contributions. This allows you to share in the growth and success of the company.
- Performance-based salary increments: We value your efforts and believe in fostering a culture of growth. Individuals’ performance, dedication, contribution, and achievements will be acknowledged and rewarded accordingly.
- Team-oriented environment: At Foaps, we prioritize collaboration and teamwork. Our company culture is not based on hierarchy but rather on creating an environment that fits the needs and strengths of our team. We foster a supportive and inclusive atmosphere where everyone's voice is heard and contributions are valued.
- Make a difference in the Restaurant industry: Foaps is revolutionizing the online food delivery business, making it easier for restaurants to do online delivery business. By joining our team, you'll have the opportunity to contribute to this transformation and play a vital role in shaping the future of the restaurant industry.
Interested? Join us and become a vital part of our startup journey. Together, we'll build an exciting future and make a real impact.
Oracle OAS Developer
Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.
Qualifications
Bachelor university degree in Engineering/Computer Science.
Additional information
Have knowledge of Financial and HR dashboard
Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)
Salary: Competitive as per Industry Standard
We are expanding our Data Engineering Team and hiring passionate professionals with extensive
knowledge and experience in building and managing large enterprise data and analytics platforms. We
are looking for creative individuals with strong programming skills, who can understand complex
business and architectural problems and develop solutions. The individual will work closely with the rest
of our data engineering and data science team in implementing and managing Scalable Smart Data
Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale
Processing Clusters, Data Mining and Search Engines.
What You’ll Need:
- 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal
Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied
data types.
- Proficiency in Python, Linux and shell scripting.
- Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
● Strong experience in developing the infrastructure required for data ingestion, optimal
extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory, Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).
- Working knowledge of github or other version control tools.
- Experience with creating Restful web services and API platforms.
- Work with data science and infrastructure team members to implement practical machine
learning solutions and pipelines in production.
- Experience with cloud providers like Azure/AWS/GCP.
- Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
- Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
- Strong analytic skills related to working with unstructured datasets.
Good to have (to filter or prioritize candidates)
- Experience with testing libraries such as pytest for writing unit-tests for the developed code.
- Knowledge of Machine Learning algorithms and libraries would be good to have,
implementation experience would be an added advantage.
- Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
- Knowledge of Azure functions , Elastic search etc will be good to have.
- Having experience with model versioning (mlflow) and data versioning will be beneficial
- Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.
Database Knowledge: MongoDB, MySQL, PostgreSQL, Firebase
Experience: 2 - 5 years














