Information Security Lead - Network Infrastructure

Review Criteria

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 3+ years of hands-on software engineering experience, ideally in SaaS, enterprise tech, consulting, or platform-based engineering
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• (Company) - Product Company only

Preferred

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

Job Specific Criteria

• CV Attachment is mandatory
• Provide your current CTC Breakup (Fixed + Variable)
• What's your college name (undergraduate) and branch?
• What's your Current Company?
• Are you ok for traveling frequently to global client sites?
• How many years of experience do you have in Backend development?
• How many years of experience do you have in Frontend development?

Role & Responsibilities

As a Forward Deployed Software Engineer (FDSE), you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the company platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

Key Responsibilities:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the company platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with company’s product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

Ideal Candidate

Qualifications - Required:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• > 3 years of professional experience.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

Qualifications - Preferred:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Position Title: Account Executive - (SaaS – US Market)

Experience Level: 3–8 Years

Industry: B2B SaaS

Sales Segment: Small & Medium Businesses (SMB)

Market: United States

Employment Type: Full-time

Location: Bangalore, work from the office

US Market experience mandatory

Shift timing: 6 PM to 3 AM

In-house desk job

Excellent communication skills

Individual Contributor role

B2B SaaS company experience mandatory

Any graduate

Interview process: 3 rounds (2 Video Calls + Final Face-to-Face)

5 days of working from the office

Key Responsibilities

Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers

Handle inbound and outbound leads, including cold outreach

Conduct product demos, discovery calls, and negotiations

Build and manage a healthy sales pipeline and accurate forecasts

Consistently achieve or exceed monthly and quarterly quotas

Maintain accurate CRM records and sales activity tracking

Required Qualifications

3–8 years of experience as an Account Executive in B2B SaaS

Strong experience selling to SMB customers (not enterprise-only profiles)

Direct exposure to selling in the U.S. market

Proven track record of quota achievement

Excellent communication, negotiation, and closing skills

Hands-on experience with CRM tools such as HubSpot

Strong understanding of U.S. buyer behavior and SMB needs

Preferred Qualifications

Experience in fast-paced SaaS startups or growth-stage companies

Familiarity with high-volume deal environments ($5k–$100k ARR)

Strong consultative selling approach

Strong understanding of U.S. buyer behavior and SMB needs

Job Title: Real Estate Funding Head

Location: Chennai

Department: Finance / Funding

Reports to: CFO

Job Summary:

The Real Estate Funding Head will lead the sourcing, structuring, and management of funding for real estate projects. This role requires a strategic finance leader with deep knowledge of real estate finance, capital markets, and investor relations. The Funding Head will develop and maintain strong relationships with lenders, investors, and financial institutions to secure optimal financing solutions that support the company’s real estate development and investment objectives.

Key Responsibilities:

Funding Strategy & Management:

• Develop and implement comprehensive funding strategies for real estate projects aligned with business goals.
• Identify and evaluate multiple funding sources including banks, financial institutions, private equity, venture capital, and alternative financing.
• Negotiate terms and structures for debt and equity financing agreements.
• Manage relationships with banks, investors, and funding partners to ensure continuous capital flow.
• Monitor and optimize capital costs and financing structures to maximize ROI.
• Oversee due diligence and risk assessment related to financing transactions.

Financial Analysis & Reporting:

• Lead financial modeling, feasibility studies, and funding proposals for new projects.
• Collaborate with project and finance teams to track funding utilization and compliance.
• Prepare and present funding plans, financial reports, and investor updates to senior management.
• Ensure adherence to regulatory and internal compliance standards related to funding.

Team Leadership & Collaboration:

• Build and lead a high-performing funding team.
• Work closely with cross-functional teams (legal, finance, project management, and sales) to align funding with operational needs.
• Mentor team members and promote best practices in real estate finance.

Qualifications & Skills:

• Bachelor’s degree in finance, Business Administration, Real Estate, or related field. MBA or relevant professional certification (CFA, CPA) preferred.
• Proven experience (X+ years) in real estate finance, capital raising, or investment banking.
• Deep understanding of real estate funding mechanisms, capital markets, and financial instruments.
• Strong negotiation, analytical, and financial modeling skills.
• Excellent communication and stakeholder management abilities.
• Ability to work under pressure and manage multiple high-value projects simultaneously.

·        Candidates from IPC/Real estate, CBRE, JLL, Cushman & Wakefield, knight franks, Savills (OR)Banks (Funding real estate),NBFC (OR) Real estate Companies

Primary Customer Facing Responsibilities:

• Handle customer service and support tickets efficiently, acting as the first point of contact over phone or email.
• Proactively communicate with customers regarding post-purchase support, including order installation, refunds, and payment issues.
• Utilize our client ticketing system to ensure prompt and effective resolution of customer queries.

Key Responsibilities:

Case Analysis and Critical Thinking:

• Develop comprehensive knowledge of client products and the ticketing system.
• Conduct thorough investigations to fully understand user issues, employing effective probing techniques.

Problem Solving:

• Provide accurate information and solutions for client software products or services.
• Offer alternative solutions when necessary, guiding users through the resolution process.

Post-Resolution Follow-Up:

• Ensure customer satisfaction by following up and updating customer status before case closure.

Client and Operational Responsibilities:

• Coordinate with team leads and managers for guidance on escalated cases.
• Record detailed events and problem resolutions in system logs.
• Forward customer feedback and suggestions to the appropriate internal team.
• Suggest improvements to processes and knowledge resources.
• Participate actively in team meetings and maintain effective communication with internal teams.
• Report to client leads and managers as required.

Requirements:

• Experience in help desk, software product support, and customer service.
• Tech-savvy with knowledge of computer operating systems, software, and hardware.
• Excellent written and verbal communication skills in English.
• Degree in a relevant field preferred.
• Proficient with Microsoft Office, Google Sheets, and other business software.
• Own a desktop/laptop with a stable internet connection.
• Demonstrated proactive, learning-oriented approach, with a focus on continuous process improvement.

Additional Information:

• This is a fully remote position with a 5-day work week.
• Requires approximately 9 hours of work per weekday.
• Compensation is competitive and billed hourly.
• Opportunity for long-term growth and additional responsibilities within the organization.

Our Commitment:

We value diversity and are committed to creating an inclusive environment for all employees. We encourage candidates of all backgrounds to apply.

Benefits:

• Work-from-home flexibility.
• Career advancement opportunities and professional development support.
• Supportive and collaborative team environment.

Application and Selection Process:

Initial Application:

• Interested candidates should submit their resume along with a cover letter detailing their relevant experience and why they are a good fit for this role via the Cutshort Application Portal.

Written Assessment:

• Selected candidates will be invited to complete a written assessment. This assessment is designed to evaluate technical and customer service skills and must be completed within 2 hours of commencement to ensure authenticity. Instructions and a deadline for the assessment will be provided upon selection.

Virtual Interview:

• Candidates who successfully pass the written assessment will be invited to a virtual interview with key stakeholders. This round will focus on assessing cultural fit, communication skills, and problem-solving abilities.

Onboarding and Training:

• Candidates who clear the interview stage will proceed to onboarding and training, marking the final stage of the selection process. This phase will familiarize them with company policies, tools, and the specific responsibilities of their role.

About Inevolution

Founded in 2009, InEvolution is a dynamic and evolving firm specializing in back-office, operations, and customer support services. We are a globally oriented team committed to delivering quality services with cost efficiency. Our ethos is to constantly adapt to the changing needs of the industry, effectively serving as an extension of our clients' teams.

We specialize in alleviating operational burdens from organizational leaders, allowing them to focus on growth. Our expertise spans across 24/7 client support, advanced technology utilization, proficient data management, and providing certified solutions. Our services include data hygiene, GDPR compliance, e-commerce campaign configuration, order management, reporting, sales support, and comprehensive customer support across various platforms. With our diverse experience in multiple business sectors, we offer robust solutions that cater to the unique needs of our clients.

Company Web : https://inevolution.in/

• Provide hands on technical support and post-mortem root cause analysis using ITIL standards of Incident Management, Service Request fulfillment, Change Management, Knowledge Management, and Problem Management.
• Actively address and work on user and system tickets in the Service Now ticketing application. Create and implement change tickets for enhancements, new monitoring, and assisting development groups.
• Create, test, and implement Non-Functional Requirements (NFR) for current and new applications.
• Build up technical subject matter expertise on the applications being supported including business flows, application architecture, and hardware configuration. Maintain documentation, knowledge articles, and runbooks.

• Conduct real time monitoring to ensure application OLA/SLAs are achieved and maximum application availability (up time) using an array of monitoring tools.
• Assist in the process to approve application code releases change tickets as well as tasks assigned to the support team to perform and validate the associated implementation plan.
• Approach support with a proactive attitude, desire to seek root cause, in-depth analysis and triage, and strive to reduce inefficiencies and manual efforts.

Customer / Tech Support Engineer JD

We are looking for a Customer Support Engineer/Tech Support Engineer who will be solving high-priority customer technical issues in a fast-paced environment. The support team is the foundation of everything the company does, and we take the role of supporting our merchants seriously. This is a highly cross-functional role; you'll work closely with company’s merchants to uncover their business goals and then coach them on the best ways to use the company website to achieve them. Your role would involve explaining technical concepts, providing support for overall systems testing and implementation into the production, and creating and improving documents that help customers solve their problems. If you are someone who enjoys solving merchants' technical problems, we want to hear from you.

• Participate in requirement, design discussions, and come up with solutions according to functional specifications
• Develop in-depth product expertise as a master Fulfil user and teacher
• Translate highly complex business requirements into technical solutions through efficient design and using appropriate tools and technologies
• Technical support and troubleshooting production issues and solution implementation
• Collaborating with the product team to share customer feedback, ensuring we continue to learn and improve our product and processes
• Identifying and resolving application issues, providing feedback for product improvements and overall direction
• Proactively identify areas of improvement and talk to our customers to ensure they are getting the most out of the product
• Involved in other programming and documentation including API references, guides, and tutorials
• Take an analytical approach to tracking points of friction for users, and then work with other teams to make those parts of our platform better

• Demonstrated proficiency with Python and SQL
• Relevant experience in working with eCommerce industry APIs e.g. Shopify, Magento, shipping carriers (e.g. USPS, DHL, FedEx etc), and Payment platforms
• Ability to adapt and write high-quality code that will be peer-reviewed.
• Familiarity with code versioning tools like GIT.
• Experience in working with web services i.e. HTTP, REST, JSON
• Superior interpersonal and customer support skills to provide excellent service