Assistant Manager Finance

Job Title: L2 Post-Sales Engineer – Cisco SSE (Secure Service Edge)

Department: Cybersecurity / Network Security

Location: Bangalore 

Job Type: Full time

Gross Salary: 10 - 12 LPA

Experience: 3–5 Years

Key Responsibilities:

• Lead partial or full deployment of Cisco SSE components under guidance from senior engineers.
• Configure and optimize Cisco (ZTNA, SASE, SWG, CASB).
• Assist in integrating Cisco SD-WAN (Viptela/Meraki) into SSE frameworks.
• Perform Level 2 troubleshooting, including analysing logs, policy behaviour, and network flow.
• Engage directly with client IT teams to provide remote support, training, and resolution planning.
• Contribute to maintaining solution documentation, run books, and knowledge base.
• Participate in upgrade/migration projects and post-deployment optimization efforts.

Technical Skills Required:

• Good understanding of Cisco SD-WAN (routing, security policies, cloud integration).
• Familiarity with SASE architecture, ZTNA, SWG, CASB, and cloud security posture.
• Ability to perform log analysis, packet capture interpretation, and root cause diagnosis.
• Comfort with CLI and web-based interfaces of security/networking tools.
• Basic scripting/automation (Python, Shell) experience is a plus.

Certifications (Preferred but Not Mandatory):

• Cisco Certified Specialist – Security Core / CCNP Security
• Cisco Umbrella and Duo product training/certification
• Other SASE/SSE vendor exposure (Zscaler, Prisma, Netskope) is a plus

Job Title: Quality Assurance Engineer/ Tester

Location: Remote

Experience: 3+ Years

Role Overview

We are seeking an experienced Senior Quality Assurance Engineer to drive test strategy, automation, and end-to-end quality delivery for both Web2 and Web3 applications. The ideal candidate should have hands-on expertise in automation testing, API validation, and blockchain QA, along with strong analytical and leadership skills to guide QA processes and mentor junior testers.

Key Responsibilities

• Design, develop, and execute automated and manual test plans for web and blockchain-based applications.
• Develop robust automation frameworks using Selenium, Cypress, and Java/Python to enhance testing efficiency.
• Perform API testing and validation for Web2 and Web3 integrations using Postman and JMeter, ensuring reliability, accuracy, and performance.
• Test blockchain-related applications including non-custodial wallets, NFT platforms, and decentralized systems, ensuring transaction integrity and on-chain data accuracy.
• Collaborate closely with developers, product managers, and DevOps to ensure seamless CI/CD integration using Git and Jenkins.
• Maintain Requirement Traceability Matrices (RTM) and ensure coverage of business requirements across the QA lifecycle.
• Lead regression, integration, and performance testing cycles to ensure high-quality releases.
• Mentor junior QA engineers, define best practices, and drive continuous improvement across QA processes.
• Work in Agile/Scrum setups, managing sprint QA deliverables and participating in release readiness reviews.

Tools & Technologies

Automation & Testing: Selenium, Cypress, Postman, JMeter

Programming Languages: Java, Python

Version Control: Git, GitHub

CI/CD: Jenkins, Git-based pipelines

Bug Tracking: Jira

Blockchain QA Tools: MetaMask, Etherscan, Hardhat, Truffle (exposure)

Browsers & Platforms: Chrome DevTools

Requirements

• 2–3 years of hands-on QA experience across Web and Blockchain domains.
• Proven expertise in automation, performance, and functional testing using Selenium, Postman, and JMeter.
• Strong understanding of REST APIs, JSON, and CI/CD processes.
• Experience testing blockchain or cryptocurrency-based systems (wallets, NFTs, token transactions).
• Familiarity with Agile methodologies and sprint-based QA practices.
• Excellent problem-solving, analytical, and documentation skills.
• Ability to mentor team members and drive QA strategy improvements.

Primary Responsibilities

●         Serve as the primary resource during the client implementation/onboarding phase

●         Identify, document, and define customer business and technical needs

●         Develop clear user documentation, instructions, and standard procedures

●         Deliver training sessions on solution administration and usage

●         Participate in customer project calls and serve as a subject matter expert on solutions

●         Coordinate tasks across internal and client project teams, ensuring accountability and progress tracking

●         Perform hands-on configuration, scripting, data imports, testing, and knowledge transfer activities

●         Translate business requirements into technical specifications for product configuration or enhancements

●         Collaborate with global team members across multiple time zones, including the U.S., India, and China

●         Build and maintain strong customer relationships to gather and validate requirements

●         Contribute to the development of implementation best practices and suggest improvements to processes

●         Execute other tasks and duties as assigned

Required Skills & Experience

●         Proven experience leading software implementation projects from presales through delivery

●         Strong organizational skills with the ability to manage multiple detailed and interdependent tasks

●         2–5 years of experience in JavaScript and web development, including prior implementation work in a software company

●         Proficiency in some or all of the following:

○         JavaScript, PascalScript, MS SQL Script, RESTful APIs, Azure, Postman

○         Embarcadero RAD Studio, Delphi

○         Basic SQL and debugging

○         SMS integration and business intelligence tools

●         General knowledge of database structures and data migration processes

●         Familiarity with project management tools and methodologies

●         Strong interpersonal skills with a focus on client satisfaction and relationship-building

●         Self-starter with the ability to work productively in a remote, distributed team environment

●         Experience in energy efficiency retrofits, construction, or utility demand-side management is a plus

What you'll actually be doing

• Manage client relationships, ensuring metrics are delivered from Google/LinkedIn ads to clients
• Monitor key metrics daily, addressing performance issues and guiding team to be on track
• Coordinate with internal teams to deliver results on time
• Lead and manage all client meetings/communications with data-backed insights and recommendations
• Manage team execution across all client campaigns

Requirements

• 3+ years in a performance marketing agency
• Proven expertise with Google Ads and LinkedIn advertising platforms
• Strong client relationship management skills
• Problem-solving ability when campaigns underperform
• Excellent at managing multiple clients and priorities
• Results-driven mindset

What we offer:

• CTC: 8 LPA - 10 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you!

We are situated at Vile Parle East has an Opening for a “Sales Executive” with the following criteria – Total Opening 2 Nos.  Minimum 3 years’ experience in sales, in any industry.  Very Good English Communication skills - Written (Good Email Drafting in Outlook) and Oral.  Well-versed with MS Office.  Smart in Communication and Personal Meetings  Ready to Travel (Domestic)  Package – Rs. 30,000/- to Rs. 35,000/- Or Negotiable (as per candidates Experience & Skills) Graduate preferred

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

1. At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
2. Excellent hands-on experience using MySQL or any other SQL Database.
3. Good knowledge of MongoDB or any other NoSQL Database.
4. Good knowledge of Redis, its data types, and their use cases.
5. Experience with graph-based databases like GraphQL and Neo4j.
6. Experience developing and deploying REST APIs.
7. Good knowledge of Unit Testing and available Test Frameworks.
8. Good understanding of advanced JS libraries and frameworks.
9. Experience with Web sockets, Service Workers, and Web Push Notifications.
10. Familiar with NodeJS profiling tools.
11. Proficient understanding of code versioning tools such as Git.
12. Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
13. Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
14. Experience building a large scale social or location-based app.

Key Skills: C#, Linq in C# ,Multithreading, Websockets, Docker, RDBMS, Html5 & CSS, Javascript, JSON, ASP.Net MVC, Microservices

Required Candidate profile

- Should be able to take responsibility and work independently.

- Professional experience with C#, .NET & OOPS

- Skill for writing reusable C# libraries

- Proficient understanding of code versioning using Git