VP Engineer

Growth Consultant(Inside Sales)

Total Experience- 6 Months- 3 years(Edtech Industry Preffered)

CTC-8 LPA Max

Location- Mumbai-Fort

Notice Period- 15 days Max

What You Will Do

Own the first conversation with inbound leads across HumanEdge, Deorhi, and TaQsha.

What We Are Looking For

Strong interest in at least one of these spaces, with willingness to learn all three:

Comfort with technology. You should be able to use CRM tools, spreadsheets, call systems, WhatsApp workflows, AI assistants,

and process automation to improve performance.

Excellent spoken English. Clear, confident, polished communication is non-negotiable.

Someone who genuinely enjoys speaking on the phone and can build comfort and credibility quickly.

A consultative mindset. You are not pushy. You are persuasive because you understand, simplify, and care.

Ability to explain premium or nuanced offerings in a way that feels intelligent, human, and exciting.

Strong listening skills. You catch what customers say, what they do not say, and why it matters.

A builder mindset. You do not just follow process. You improve it.

High ownership and bias for action. Early-stage teams are messy. You should enjoy that kind of chaos.

What Great Looks Like In This Role

Customers feel understood, not handled.

Conversations feel informed and energising, not salesy.

Lead-to-payment conversion improves because customers trust the journey.

The product team gets sharp feedback from the front lines.

The funnel becomes faster, cleaner, and more scalable over time.

🚀 We're Hiring: Graphic/Motion Designer

📍 Location: Gurugram (Onsite, 5 Days working)

🏢 Industry: SaaS

💰 Budget: Up to 7.5 LPA

Requirements:

✔️ 1+ year experience as UI/Graphics/Motion Designer

✔️ Strong portfolio with UI flows, animations & videos

✔️ Tools:

• Figma (mandatory)

• Adobe XD & Illustrator

• After Effects – vector animations

• Framer (preferred)

Salesforce Technical Product Manager

Location - Remote

Shift Timing - 5pm to 2 am

Preferred Skills/Experiences: - Project Management

CPQ Specialist certification is a huge plus

Salesforce Admin Certification (201) and Salesforce Certified Sales Cloud Consultant Preferred

Professional Experience/Qualifications:

Has successfully led development and delivery of multiple complex business technology solutions into production that have achieved or surpassed business goals. Experience developing and supporting mission critical applications optimized to run in the cloud or virtualized environments. Deep knowledge of system architecture, technical design, and system and software development technology.

Required Skills/Experiences:

6+ years of IT experience with a Bachelor’s degree in Computer Science, MIS, Computer Engineering or equivalent technical degree

3+ years of experience as a business analyst/product manager supporting Salesforce CPQ platform.

Deep understanding of the Salesforce.com product suite including CPQ, Sales Cloud, Service Cloud, FSL, Community Cloud, and the AppExchange.

Managing application development at scale, employing SDLC methodologies including Agile, Scrum, and DevOps

Strong subject matter expertise with core SaaS principles: Product setup, Product Options, Product configuration & rules, Pricing, Quoting, Subscription Management, amendments, renewals, Billing and Revenue Recognition

Skilled at setting and communicating priorities effectively; able to manage multiple tasks and priorities

Exceptional ability to lead change using positive and collaborative methods

Strong communication skills in writing, speaking, and presenting

Able to communicate technical or complex subject matter in business terms

Demonstrated acumen and passion for both business and technology, including the latest digital innovations as they apply to the creation of business value

Accepts ownership and welcomes responsibility

Key Responsibilities

Performance Optimization & Query Tuning

  • Tune query performance for PostgreSQL, EdgeDB, MongoDB Atlas, and Snowflake.

  • Analyze execution plans, identify bottlenecks, and implement indexing & caching strategies.

  • Work with engineering teams to optimize schema design for OLTP (Postgres/EdgeDB) and metadata storage (MongoDB).

Database Architecture & Scalability

  • Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).

  • Implement high-availability, replication, and clustering configurations.

  • Optimize Snowflake warehouse configurations for query speed and cost control.

Operational Excellence

  • Plan and execute zero-downtime database upgrades and schema migrations.

  • Set up proactive monitoring, alerting, and anomaly detection across all database systems.

  • Manage capacity planning for storage and compute resources across Postgres, MongoDB Atlas, and Snowflake.

Storage & Cost Optimization

  • Reduce storage costs via archiving, partitioning, compression, and lifecycle policies.

  • Optimize Snowflake compute and storage usage with warehouse tuning and data pruning.

  • Implement tiered storage strategies for cold vs. hot data.

Security, Compliance & Governance

  • Enforce encryption, access controls, and audit logging across all databases.

  • Ensure compliance with GDPR, SOC 2, and other relevant regulations.

Collaboration & Knowledge Sharing

  • Partner with backend, platform, and data engineering teams to ensure efficient database usage.

  • Provide training and documentation on query best practices and schema design.

Qualifications

Required:

  • 7+ years DBA experience, with deep expertise in PostgreSQL and MongoDB Atlas.

  • Strong understanding of multi-tenant architectures in production.

  • Experience with Snowflake query optimization, warehouse tuning, and cost management.

  • Proven success in executing zero-downtime upgrades and large-scale migrations.

  • Strong skills in query optimization, indexing, partitioning, and sharding.

  • Proficiency in scripting (Python, Bash, SQL) for automation.

  • Hands-on experience with monitoring tools (pg_stat_statements, Atlas monitoring, Snowflake Resource Monitors, Prometheus, Grafana).

Nice to Have:

  • Experience with EdgeDB or graph/relational hybrid databases.

  • Familiarity with Kubernetes-based database deployments (StatefulSets, Operators).

  • Background in distributed caching (Redis, Memcached).

PCB Design Engineer

Roles and Responsibilities:

Job Role:

• Utilize CAD System to prepare printed circuit board (PCB) documentation (e.g., schematic diagrams, layouts, assembly drawings and Bills of Material).
• Create documentation for the manufacture and fabrication of PCBs following PCB Department standards.
• Collaborative work with mechanical, firmware, thermal design, manufacturing test, and DVT engineers.
• Start to finish ownership of controller PCBAs – from specification to design, prototype, and manufacturing.

Required Skills:

• Relevant coursework or work experience.
• High-speed PCB design, board routing from scratch & simulations for EMI/EMC
• PDN analysis
• Experience in the selection and use of DSPs, microcontrollers, and programmable logic devices and their peripheral circuitry (signal conditioning, board-level power supplies.)
• Medium to high volume DFT and DFM.
• Experience in supervision of PCB layout, plane definition, and EMC optimization.
• Proficiency with basic EE tools (scopes, network analyzers, etc.)
• Embedded programming of DSPs and FPGAs in real-time control applications.

Preferred Skills:

• Knowledge of basic control theory, including the importance of sensor bandwidths, and design of compensation networks.
• Knowledge of automotive environmental, reliability, and safety requirements.
• Knowledge of automotive networking (e.g. CAN, LIN) standards.
• Knowledge in power semiconductors and switched-mode power conversion

Education:

• Bachelor or higher degree in Electrical Engineering or equivalent experience.

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

Cloud Software Engineer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure.  We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms.  Our engagement service is built on the DevOps standard practice and SRE model.

We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.

Roles and Responsibilities

· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms

· Apply continuous delivery practices to deliver high-quality software and value as early as possible.

· Work in collaborative teams to build new experiences

· Participate in the entire cycle of software consulting and delivery from ideation to deployment

· Integrating multiple software products across cloud and hybrid environments

· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud

· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices

Desired Candidate Profile : *** freshers can also apply ***

· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.

· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.

· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.

· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives

· Driven to develop technical skills for oneself and team-mates

· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.

· Possess at least one cloud-related certification from AWS, Azure, or equivalent

· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns

· Past experience quickly learning new languages and frameworks

· Ability to work with a high degree of autonomy and self-direction

http://www.banyandata.com" target="_blank">www.banyandata.com 

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred