Customer success Manager(Azure cloud)

Job Description : 

- Lead Graphic Design Projects & Team: Oversee and guide the designers across multiple projects, ensuring that designs are visually compelling, consistent, and aligned with brand guidelines and project objectives.

- Work closely with fellow designers, internal teams, to define design requirements, align on visual goals, and ensure designs meet project brief. 

- Develop high-quality visual assets for both digital and print, including logo & branding, website graphics, social media content, email campaigns, brochures, banners, and other marketing collateral.

- Design Iteration & Feedback: Provide feedback, iterate on designs, and refine visuals based on inputs and user feedback to ensure the final product aligns with business goals and user needs.

- Branding & Identity: Contribute to the development and maintenance of brand guidelines, ensuring consistency in design across all touchpoints and platforms, both digital and print.

- Mentorship: Provide guidance and mentorship to junior designers & Interns, helping them enhance their design skills, follow best practices, and grow in their careers.

- Stay up-to-date with emerging design trends, tools, and technologies to ensure the creative team remains innovative and competitive in design practices.

Please fill this Google form - https://forms.gle/PsZ9E3VM1RZgkh7M9

Skills:

Logo Designer

Branding Designer

Graphic Designing + Product designing

Packaging Designer

Hi,

We are seeking a senior data leader with deep functional expertise in Salesforce Sales and Service domains to own the enterprise data model, metrics, and analytical outcomes supporting Sales, Service, and Customer Operations.

This role is business‑first and data‑centric. The successful candidate understands how Salesforce Sales Cloud and Service Cloud data is generated, evolves over time, and is consumed by business teams, and ensures analytics accurately reflect operational reality.

Snowflake serves as the enterprise analytics platform, but Salesforce domain mastery and functional data expertise are the primary requirements for success in this role.

Core Responsibilities

Salesforce Sales & Service Data Ownership

·                 Act as the data owner and architect for Salesforce Sales and Service domains.

• Own Sales data including leads, accounts, opportunities, pipeline, bookings, revenue, forecasting, and CPQ (if applicable).
• Own Service data including cases, case lifecycle, SLAs, backlog, escalations, and service performance metrics.
• Define and govern enterprise‑wide KPI and metric definitions across Sales and Service.
• Ensure alignment between Salesforce operational definitions and analytics/reporting outputs.
• Own cross‑functional metrics spanning Sales, Service, and the customer lifecycle (e.g., customer health, renewals, churn).

Business‑Driven Data Modeling

·                 Design Salesforce‑centric analytical data models that accurately reflect Sales and Service processes.

• Model sales stage progression, pipeline history, and forecast changes over time.
• Model service case lifecycle, SLA compliance, backlog aging, and resolution metrics.
• Handle Salesforce‑specific complexities such as slowly changing dimensions (ownership, territory, account hierarchies).
• Ensure data models support operational dashboards, executive reporting, and advanced analytics.

Analytics Enablement & Business Partnership

·                 Partner closely with Sales Operations, Service Operations, Revenue Operations, Finance, and Analytics teams.

• Translate business questions into trusted, reusable analytical datasets.
• Identify data quality issues or Salesforce process gaps impacting reporting and drive remediation.
• Enable self‑service analytics through well‑documented, certified data products.

Technical Responsibilities (Enabling Focus)

·                 Architect and govern Salesforce data ingestion and modeling on Snowflake.

• Guide ELT/ETL strategies for Salesforce objects such as Opportunities, Accounts, Activities, Cases, and Entitlements.
• Ensure reconciliation and auditability between Salesforce, Finance, and analytics layers.
• Define data access, security, and governance aligned with Salesforce usage patterns.
• Partner with data engineering teams on scalability, performance, and cost efficiency.

Required Experience & Skills

Salesforce Sales & Service Domain Expertise (Must‑Have)

·                 Extensive hands‑on experience working with Salesforce Sales Cloud and Service Cloud data.

• Strong understanding of sales pipeline management, forecasting, and revenue reporting.
• Strong understanding of service case workflows, SLAs, backlog management, and service performance measurement.
• Experience working directly with Sales Operations and Service Operations teams.
• Ability to identify when Salesforce configuration or process issues cause reporting inconsistencies.

Data & Analytics Expertise

·                 10+ years working with business‑critical analytical data.

• Proven experience defining KPIs, metrics, and semantic models for Sales and Service domains.
• Strong SQL and analytical skills to validate business logic and data outcomes.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or MicroStrategy.

Platform Experience 

·                 Experience using Snowflake as an enterprise analytics platform.

• Understanding of modern ELT/ETL and cloud data architecture concepts.
• Familiarity with data governance, lineage, and access control best practices.

Leadership & Collaboration

·                 Acts as a bridge between business stakeholders and technical teams.

• Comfortable challenging requirements using business and data context.
• Mentors engineers and analysts on Salesforce data nuances and business meaning.
• Strong communicator able to explain complex Salesforce data behavior to non‑technical leaders.

Thanks,

Ampera Talent Team

F5 is looking for a Principal Software Engineer with experience in building FIPS-ready cryptography-based security solutions at scale. You will participate in the design and implementation of F5’s Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, design, implementation, deployment, operational management, and debugging of security services of F5’s platform.

Responsibilities:

• Collaborate with architects and business leaders to understand the requirements for providing FIPS-ready cryptography-based security services for F5’s platform, design solutions, and implement them
• You will develop software for identity related security foundations of Volterra platform - Identity Management, Key Management, Secure Bootstrapping, Authentication, Authorization, Secrets Management, etc.
• You will perform necessary compliance tasks – including building and executing the test suites – required for making systems and libraries ready for FIPS
• You will vet various open source and closed source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
• Demonstrate technical leadership in multiple domain areas, providing mentorship to other team member
• Demonstrate leadership by taking responsibility and ownership of software components and deliver a complete product satisfying functional, scale, performance and manageability requirements
• Hands-on coding in multiple languages while considering performance, scalability, maintainability, and flexibility

Minimum Qualifications:

• BS/MS degree in Computer Science or equivalent with 12+ years of software engineering and development experience
• Hands on experience with multiple computer programming languages such as Golang (must), C++, Python, Java
• Hands-on experience with FIPS 140-2 and CMVP
• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
• Good understanding of complexities and security challenges in large-scale distributed systems
• Good understanding of security concepts like IPSec/TLS, PKI, SAML/OAuth, Key management, etc.
• Experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google Compute etc.) is a plus
• Working knowledge of Virtualization technologies like KVM, Docker etc.
• Working knowledge of Cloud orchestration systems such as Kubernetes, Openstack etc.
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills

• We are looking to add a Software Engineer to contribute to the development, upgradation and management of our back end services for our website / PWA / app / chatbot / internal tools.
• You will be part of a lean team with a very steep learning / growth opportunity while working on and exploring some of the cutting edge technologies
• This is a full-time role in Mumbai with flexible working hours (including WFH)
• You will be working closely with the founder and be involved in strategic decisions such as back end architecture, tech stack selection, hiring, etc.
• We have multiple products in the pipeline and we need a strong team player who can contribute shoulder-to-shoulder with the existing team in the software development process.
• CTC offered: upto Rs. 22 Lakhs

• Must have qualities: logical & independent thinker; problem solver; result oriented; takes ownership; ability to work indepenently with end-to-end output delivery; ability to structure the code (to avoid rework in future)
• Experience in writing production quality code in NodeJS, Python, Java, or Ruby on Rails
• Hands on experience in design web application using ExpressJS, Koa, Django
• Experience in designing and developing REST API. Familiarity with GraphQL is a plus.
• Proficient in dealing with SQL and NoSQL databases like MySQL, PostgreSQL MongoDB, Elasticsearch.
• Experience with in-memory databases like Redis or MemCache; webserver like Apache, Nginx.
• Experience in stress testing and unit testing and familiarity with testing platforms is a plus
• Proven experience in implementing user authentication and authorization in distributed systems.
• Capability to integrate multiple data sources and databases into one system.
• Experience in designing and developing scalable system.
• Working experience with one of the cloud services like GCP, AWS , Digital Ocean, Azure, etc.
• Knowledge of low-code / no-code tools to expedite production is a plus
• Engineering degree; Computer Science preferably + minimum 2 years of work experience as a Back End Engineer (NOTE: Please do not apply if you do not meet this criteria)
• Clear communication, strong inter-personal skills

• Experience of a lifetime by disrupting the antiquated tech of Real Estate
• Steep learning curve with opportunity to
• Opportunity to generate immense wealth for yourselves from the equity allocation
• A good cash salary
• Standard perks (health insurance, medical benefits etc.)

1. CV screening
2. Coding Test
3. Technical Interview

Designation: Anchor & Producer

Department: Video Content Team

Location: Bangalore (preferred) / Mumbai

Qualification: Any Graduate or Postgraduate

Experience: 3+ years of relevant experience in Anchoring or Vlogging on Youtube channel

Responsibilities:

1. Candidate should be the face for YouTube channel and should have experience as YouTube channel anchor
2. Should be able use own creativity in presenting the given script
3. Should be able to present topics related to sports, science, history in an entertaining way
4. Should be confident on camera
5. Candidate should be known to languages. (English and Hindi) Fluently
6. Candidate who is available for 8 and half hours in a day
7. Candidate should bring in new ideas

Skills:

1. A good understanding of the Youtube platform.
2. Solid content research skills.
3. Video editing skills.
4. Social Media Presence.
5. Digital Awareness.

Salary: 4.80LPA (Negotiable)

IMMEDIATE JOINING PREFERRED!

Who are we?

Centre for Research on Start-ups and Risk Financing (CREST) has been set up by IIT Madras to provide thought leadership and intellectual impact to the start-up and innovation ecosystem. CREST has embarked on an ambitious mission of becoming one of the top global research centres in the area of start-ups and innovation. The core of CREST is the development of an AI-driven Intelligent
Information Platform that would enable cutting edge research as well as influence policy and practice like never before
With the recent exponential growth in the start-up and innovation ecosystem, new data-driven approaches would play a critical part in sustaining the current growth curve. The objective of CREST would be to become the gold standard of information and intelligence on Innovation, Entrepreneurship and Private Equity investments in India

The Opening
We are currently looking for our next passionate, skilled and motivated Python developer, who can join us immediately. The candidate should
● Be excited about building a next-generation intelligence platform
● Have a can-do attitude and ready for challenges
● Value working with a greatteam - confident, creative and thoughtful people who come together to achieve great things
● Be eager to experiment, learn and bring new things, improving the platform
● Be high on self-belief and enthusiasm to work in a startup-like culture - small team, fast-paced work environment If this is you, we're excited to interact!

As the Data Science Engineer in CREST, you will

● Write reusable code and build libraries for future use
● Establish solid data-pipelines and automate routine tasks
● Develop & deploy custom Machine Learning (ML) models using the latest
research in ML and Natural Language Processing (NLP)
● Build performant applications following best practices, maximizing speed and scalability
● Improve upon the existing codebase mitigating technical debt
● Take ownership of all aspects of the application - architecture, quality and efficiency
Requirements
● Proficient understanding of Python language
● Expertise with data-modelling, data-wrangling & data-mining techniques
● Familiar with Extract-Transform-Load (ETL) processes and hands-on experience with packages like Pandas, Numpy etc
● Experience with data visualisation tools and libraries like Plotly, Seaborn etc
● Good understanding of advanced Statistical and ML techniques on
regression, classification, forecasting etc
● Skilled in NLP and specifically ML applications in NLP like information
extraction, feature engineering, classification, building language models etc
● Should provide direction and mentorship to junior team members
● Bachelor’s or Master’s degree from premier educational institutions
● Minimum 2 years of experience (research or professional) in the
above-mentioned areas
Good to have
● Comfortable with using Command Line and Linux systems
● Experience and knowledge in version control systems like git, svn, etc
● Knowledge in developing & deploying web apps & web APIs with an overall understanding of client-server interactions
● Experience with NoSQL databases like MongoDB
Job type
● Full time, on-site
● Immediate joiner
● Initial appointment for 1 year, it would be renewed subsequently based on performance

Work location
Department of Management Studies, IIT Madras campus, Chennai, Tamil Nadu,
India - 600036

Why work with us?
● Get to interact with the best of the minds. IIT Madras has been ranked as the
top university in India for 5 years in a row
● Be at the forefront of the Entrepreneurial ecosystem in India
● Enormous opportunities for learning

Job Description: (Mandate Skills)

• Exceptional architecture and design skills using Object Oriented Programming concepts and Design patterns
• Strong problem solving and analytical skills
• Hands on Java Engineer, with experience building consumer facing or enterprise applications using Java stack
• Ability to manage small teams (2-4 members) using agile development process

Do You Know? (Skills good to have)

• Exposure to building service oriented distributed systems
• In building systems that process big data in a distributed environment, either in real time streaming or offline
• In messaging systems like Kafka, RabbitMQ, kinesis, etc.
• In real time computation tools like Storm / Spark or Hadoop based tools.
• In Data warehousing technologies like Redshift, BigQuery, etc.