Talent Pro

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

Strong Graphic Designer Profile, with a focus on Marketing / branding works

Mandatory (Experience 1): Must have 3+ years of experience in graphic design with B2C brands across Digital Marketing, Social media, & branding teams

Mandatory (Experience 2): Proven experience designing marketing collaterals and digital creatives for social media and campaigns

Mandatory (Skill 1): Expertise in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Figma for design execution and collaboration.

Mandatory (Skill 2): Strong understanding of brand identity, visual hierarchy, and lead-generation design principles — ability to convert marketing objectives into impactful visuals.

Mandatory (Portfolio): Very Strong portfolio of marketing assets (Digital assets, social media, marketing videos) for B2C brands

Mandatory (Company): B2C Product Companies (preferred fintech)

Strong technical background in Android application development and Kotlin

· Looking candidates having 5+ years of experience.

· Need candidates from Delhi NCR Only.

· All Academic backgrounds acceptable (except BCA).

· Immediate Joiners Preferred

· Candidate must have some experience working with IoT devices.

· Candidate should have experience working with Camera model X.

· Candidate's Academic scores must be 70% or above.

· Candidate having fluent communication will be an added advantage.

Bachelor’s degree in Computer Science,Engineering,Environmental Science or related field

5+ years in Product Management in Agritech and environmental technologies

Experience with Agile methodologies and product lifecycle management

Strong understanding of data-driven decision making and KPI tracking

Experience with A/B testing methodologies

Strong investor analyst profile

Mandatory (Experience): Must have 5+ years of experience in Private Equity, AIFs, Investment Banking, Special Situations, or Family Office investing.

Mandatory (Tech Skills 1): Must have experience evaluating Indian companies by studying their financial statements, mutual funds, stock, future growth prospects, and overall investment attractiveness (Buy-side analysis)

Mandatory (Tech Skills 2): Must have experience evaluating Pre-IPO, Private Equity, Real Asset, and Distressed/Special Situation investments.

Mandatory (Tech Skills 3): Must have experience in managing end-end investment lifecycle from deal generation to closure.

Mandatory (Tech Skills 4): Must have strong financial modeling skills (LBO, DCF, scenario modelling)

Mandatory (Tech Skills 5): Must have created Investment Memoranda, Transaction Notes, and IC presentations.

Mandatory (Tech Skills 6): Must be proficient with valuation methods, credit analysis, asset-level cash flows.

Mandatory (Tech Skills 7): Must be familiar with any of these tools- Capital IQ, PitchBook, Venture Intelligence or Tracxn

Mandatory (Company): Preferably from PE funds, AIF Category II/III, IB, Special Situations funds.

Mandatory (Education): MBA (Finance), CA, CFA

15+ years in enterprise product development

5+ years in Director/VP-level product leadership

Proven AI/ML product commercialization experience

Expertise in Industry 4.0 (IoT, predictive maintenance, digital twins)

Hands-on experience with AWS/Azure/GCP cloud platforms

Strong architecture experience in microservices ecosystems

Experience implementing MLOps and DevSecOps frameworks

Experience integrating MES, ERP, SCADA, automation platforms

SaaS business model and enterprise software commercialization expertise

Experience leading large engineering/product teams

Strong Engineering Manager / Technical Leadership Profile

Mandatory (Experience 1): Must have 9+ years of experience in software engineering with experience building complex, large-scale products

Mandatory (Experience 2): Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities

Mandatory (Tech Skills 1): Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages (Python, PHP, Ruby, Perl, Node.js), web technologies (HTML, CSS, Javascript), and databases (SQL/NoSQL)

Mandatory (Tech Skills 2): Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices

Mandatory (Leadership & Delivery): Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence

Mandatory (Collaboration): Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners

Mandatory (Communication): Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions

Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies

Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50)

Mandatory (Note 3): Avoid candidates from small startups (<100 employees), MNC, semi fintech like banks, BFSI, and services background

8+ years backend engineering experience in production systems

Proven experience architecting large-scale distributed systems (high throughput, low latency, high availability)

Deep expertise in system design including scalability, fault tolerance, and performance optimization

Experience leading cross-team technical initiatives in complex systems

Strong understanding of security, privacy, compliance, and secure coding practices

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fintech background

Mandatory (Experience 1): Must have 6+ years of relevant experience in customer-facing Customer Success / Account Management / Implementation roles.

Mandatory (Experience 2): Must have 3+ years of hands-on experience supporting enterprise customers in North America and/or Europe

Mandatory (Experience 3): Must have owned end-to-end enterprise customer implementations, including discovery, onboarding, integrations, go-live, and stabilization.

Mandatory (Experience 4): Must have experience working with CXO / VP / Director-level stakeholders as primary points of contact (POCs) for enterprise accounts.

Mandatory (Experience 5): Must have managed enterprise accounts with ACV / ARR of at least USD 40K+, and owned commercial outcomes such as renewals, expansions, upsells, and retention (NRR).

Mandatory (Experience 6): Must have worked in B2B SaaS companies with complex technical products

Mandatory (Experience 7): Must have a conceptual understanding of SaaS architecture and APIs, with the ability to troubleshoot workflows and coordinate closely with engineering and product teams (hands-on coding not required).

Mandatory (Compensation): Candidate's Current CTC should not be less than 27 LPA.

Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).

Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.

Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.

Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.

Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.