Sales Engineer

Designation: Cloud Sales Specialist (AWS/GCP/AZURE) (Field Sales)

Location: Mumbai (Andheri West) / Bengaluru

Experience: 5 to 10 Years relevant experience

Industry: Cloud Solutions/IT Services

About the Role

We are looking for a high-performing Sales Specialist (Field Sales) with strong industry connect & solution selling and a proven ability to close high-value deals.

This role is ideal for someone who is a true sales hunter, with strong CXO-level connect, ability to independently drive revenue through field engagement, principal vendors’ connections and strategic selling.

Important Note 

This role strictly requires hands-on Cloud Sales experience and existing CXO connections. Profiles from non-cloud or purely generic IT sales backgrounds will not be considered.

Key Responsibilities

• Own and drive end-to-end field sales for Cloud Services (AWS/Azure/GCP)
• Manage the region by Identifying, acquiring, and growing new business opportunities
• Build and leverage CXO-level relationships to drive business
• in-person client meetings, presentations, and solution positioning
• Collaborate with pre-sales & technical teams for solution-based selling
• Manage complete sales cycle: prospecting → negotiation → closure
• Consistently achieve and exceed sales targets
• Maintain strong pipeline management and forecasting discipline

Must-Have Experience

• 5-10 years in core Cloud Sales (AWS / Azure / GCP / Cloud Solutions)
• Proven track record in closing high-value deals
• Strong existing CXO / decision-maker connects (mandatory)
• Hands-on experience in field sales & direct client engagement
• Strong understanding of cloud ecosystem & solution selling

What Makes You a Great Fit

• A go-getter sales professional with strong hunting ability
• Ability to open doors, build trust, and close deals independently
• Strong network across decision-makers and business stakeholders
• High ownership mindset with a target-driven approach

What’s in It for You

• Opportunity to work directly with CXOs and key decision-makers
• Fast-track growth into leadership roles
• Exposure to leading cloud ecosystems (AWS / Azure / GCP)

Job description:

Job Title: HR Intern

Internship Duration: 4 Months

Location: Bangalore (On-site)

Joining: Immediate

Stipend: 8,000 per month

Requirement: Own Laptop Mandatory

Job Description:

We are looking for an HR Intern to support our Human Resources team with day-to-day HR operations. This internship is suitable for candidates who want hands-on exposure to recruitment and basic HR activities.

Roles & Responsibilities:

• Assist in sourcing candidates through job portals, LinkedIn, and referrals
• Screen resumes and shortlist profiles as per requirements
• Coordinate interviews and follow up with candidates
• Maintain candidate and recruitment data in Excel or ATS
• Support onboarding documentation and joining formalities
• Assist the HR team with basic administrative tasks
• Communicate with candidates through calls, emails, and messages

Eligibility Criteria:

• Graduate or pursuing graduation/post-graduation (any discipline)
• Basic understanding of recruitment or HR processes
• Good communication skills (English & Hindi preferred)
• Willingness to learn and work in a team environment
• Must have a personal laptop
• Available for a 4-month internship

Skills Required:

• Basic computer knowledge (MS Excel, MS Word)
• Good verbal and written communication
• Organizational and coordination skills
• Attention to detail

What You Will Learn:

• End-to-end recruitment process
• Candidate coordination and HR operations
• Practical exposure to corporate HR functions

Job Types: Full-time, Internship

Contract length: 4 months

Description:

At Digicorp, we design and develop world-class digital products for startups, scale-ups, and enterprises. We specialize in building web, mobile, and cloud-based applications that are scalable, simple, and impactful. Our mission is to help businesses turn ideas into meaningful software products that create real value.

What we are looking for?

• A MERN Stack Developer with 3–5 years of experience.
• Strong expertise in Node.js, React.js, and Python.
• Passion for coding, problem-solving, and building innovative solutions.
• Team player with good communication skills and a proactive mindset.

What will you do at Digicorp?

• Develop, test, and maintain scalable web applications using MERN stack.
• Write clean, reusable, and efficient code in Node.js, React.js, and Python.
• Collaborate with designers, product managers, and other developers to deliver high-quality solutions.
• Optimize applications for performance, scalability, and speed.
• Debug and fix issues to ensure smooth functionality of applications.
• Stay updated with the latest technologies and apply best practices in development.

Role & responsibilities

• Develop new Leads of Industries who can install solar
• Develop strong relationships with the different stakeholders in these industries
• Generate proposals, offers
• Conduct negotiations with prospective customers
• Close orders with prospective customers
• Work with the Products team to better mold the product as per the customers requirements
• Hand hold a customer in their transition to renewable energy

Preferred candidate profile

• Past work experience as a sales executive / manager in an EPC company / project developer
• First hand knowledge of Rooftop Solar
• Strong Industry connects to be able to work independently
• Bachelors Degree in associated field
• Comfortable with travelling over night to visit the site if required

Perks and benefits

• Pay above industry standards
• Very attractive Performance linked Bonus
• Attractive ESOPs
• 100% Ownership of the task
• Flexible, employee centric work culture
• Massive Growth Potential

We are looking "SAP CPI/PI/PO" for Reputed Client @ Chennai Permanent Role.

Experience: 3-8 Yrs

• Should have worked on at least 2 integration projects with SAP Cloud Integration CPI 

• Prefer work experience on developing CPI flows to integrate with Cloud for customer, Hybris /commerce cloud, SuccessFactors, S4HANA & MDG. 

• Experience on Groovy scripts, Java, XSLT . 

• Should have worked on implementations with complex mappings and different adaptors like OData, SOAP, SF, IDoc, SFTP, Process Direct, JMS etc 

• Expert in operate and monitor integration scenarios and worked with Cloud monitoring tools. 

• Experience on integrating Cloud systems with on premise S4HANA and Database systems. 

• Worked with API Management and API Gateways for secure connectivity. 

• Extensive knowledge and experience on packaged content / OOB and customizes the standard artifacts. 

• Able to configure SAP PI/PO adapters like SOAP, IDOC_AAE, Proxy, RFC, REST, JDBC, SFTP, AS2, EDI Separator. 

• SAP PI/PO integration experience on XI CONTENT objects and Enterprise services provided by SAP. 

• Good in JAVA, UDF, custom adapter module developments. 

• Extensive knowledge on SAP PI/PO NWA, Issue analysis, Error handling & Performance tuning. 

• Knowledge on BTP is an added advantage. 

• Team player, good communication skills. 

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

• You're proficient in GoLang with a strong foundation in backend frameworks and databases 
• Knowing Solidity is a definite plus but not a requirement
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You have experience deploying to and implementing solutions in AWS
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

Current Ecosystem : 
ShibaSwap : https://shibaswap.com/#/" target="_blank">https://shibaswap.com/#/

Metaverse : https://shib.io/#/" target="_blank">https://shib.io/#/

NFTs : https://opensea.io/collection/theshiboshis" target="_blank">https://opensea.io/collection/theshiboshis

Game: Shiba Eternity on iOS and Android