Senior ETL Developer

Roles & Responsibilities

What You'll Do

•    Design and build the core Node.js services and REST APIs from scratch, built to scale as we grow.

•    Own system design end to end: service boundaries, data flow, caching, queueing, failure modes, and scale.

•    Ship AI/ML-powered features, including LLM and agentic capabilities.

•    Use LLMs and agentic tooling across the SDLC, from design and code generation to testing and debugging.

•    Model data and optimize SQL/NoSQL queries for performance; integrate with third-party platforms.

•    Debug production issues, own reliability, and set the engineering standards the rest of the team will grow into.

Ideal Candidate

1.Strong Backend Node.js Developer Profile

2.Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3.Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4.Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5.Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6.Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7.Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8.Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9.Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10.Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11.Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike.

12.Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

13.Mandatory (Note1) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

14.Mandatory (Note2) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

15.Preferred (College) – Tier1 engineering college is a plus plus

16.Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Job Details

- Job Title: Head of Delivery

- Industry: SAAS

- Function: Operations

- Experience Required: 14-18 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Preferred Skills: P and L management, customer success, technical support, Implementation, Client Delivery

Criteria:

14+ years of experience in Managed Services / Professional Services / Customer Delivery within SaaS or tech-led organizations.

Proven leadership of end-to-end customer lifecycle functions: Pre-sales, Implementation, Customer Success, and Support.

Experience managing global, cross-functional teams across geographies and time zones.

Demonstrated ownership of P n L, budgets, and revenue (services / managed services).

Strong understanding of SaaS delivery models and customer lifecycle management.

Job Description

What will you create and do?

We are looking for a Head of Delivery to lead and scale the end-to-end customer delivery organization at Company. This role will own the entire customer lifecycle across pre-sales demos/PoCs, onboarding, implementation, customer success, and ongoing support.

You will lead cross-functional teams across multiple geographies and time zones, ensuring successful delivery of projects, high customer satisfaction, strong product adoption, and growth in managed services revenue.

This is a strategic leadership role responsible for building processes, improving delivery maturity, driving operational excellence, and aligning teams across Support, Customer Success, and Implementation. The role will also work closely with Sales, Product, and Leadership to ensure customers achieve measurable outcomes through Conversational Messaging solutions.

What will qualify you for this role?

Essential:

● Strong experience leading Managed Services / Professional Services / Customer Delivery organizations

● Proven ability to manage global teams across time zones and multiple functions

● Strong leadership experience in Customer Success, Implementation, Support, and Client Delivery

● Experience managing P&L, budgets, and revenue ownership for service organizations

● Ability to design and scale delivery processes, frameworks, and operational systems

● Strong customer engagement and stakeholder management skills

● Ability to manage complex client escalations and enterprise accounts

● Experience working closely with Sales, Product, and Technology teams

● Strong understanding of SaaS delivery models and customer lifecycle management

● Strong people leadership, hiring, mentoring, and organizational building experience

Desired Skills:

● Experience in Conversational Messaging, CPaaS, or SaaS platforms

● Industry exposure to Healthcare, Finance, Real Estate, Education, Contact Centers, or similar sectors

● Understanding of CRM platforms, Marketing Automation systems, and Contact Center technologies

● Experience building self-service platforms and customer reporting systems

● Ability to drive customer adoption and product-led growth initiatives

● Strong operational mindset with a focus on SLA management and delivery excellence

Experience Range:

15+ Years

Education Qualification:

Bachelor’s Degree in Engineering, Technology, Business, or related field MBA is preferred.

Key Responsibilities:

Delivery Leadership & Customer Lifecycle Management

● Own delivery of all client services across the customer lifecycle including demos, PoCs, onboarding, implementation, and ongoing support

● Ensure projects are delivered as per SLA commitments and agreed delivery plans

● Lead teams responsible for Customer Support, Implementation, and Customer Success

● Manage delivery across multiple time zones and global customers

Organizational Leadership

● Build and scale a high-performing delivery organization

● Hire, mentor, and develop team leaders and managers across functions

● Drive training, capability building, and skill development across teams

● Create a strong culture of customer success and accountability

Managed Services Revenue & P&L Ownership

● Own the Managed Services P&L, budgets, and revenue targets

● Drive product adoption among serviced customers

● Align delivery performance with business growth and revenue outcomes

Process, Systems & Delivery Excellence

● Build and implement delivery processes, playbooks, and operational frameworks

● Develop systems that enable client self-service and service transparency

● Ensure systems capture relevant data and generate insights for customer success and risk identification

● Monitor key delivery metrics and identify red flags proactively

Customer Success & Product Adoption

● Create playbooks and frameworks to guide customer onboarding and adoption

● Build expertise around customer journey, implementation best practices, and messaging strategies

● Champion Conversational Messaging adoption across different communication channels

Market & Industry Expertise

● Develop expertise in target industries such as Healthcare, Finance, Real Estate, Education, and Contact Centers

● Understand business processes and systems such as CRM, marketing automation, and contact center tools

● Provide insights into market trends, customer needs, and product adoption

Cross-Functional Collaboration

● Work closely with Sales teams to prioritize projects and support strategic customers

● Partner with Product and Technology teams to identify product gaps and improvement areas

● Provide insights on product adoption, feature gaps, and customer feedback

Executive & Customer Engagement

● Represent the company in executive-level customer discussions and strategic projects

● Support major client engagements including delivery reviews and issue resolution

● Travel to customer locations for project reviews and relationship management when required

Key Result Areas (Success Metrics):

● Managed Services P&L performance

● Customer product adoption and engagement metrics

● Project delivery timelines and TAT

● SLA compliance and delivery quality

● Reduction in customer escalations

● Customer satisfaction and retention

● Identification of product gaps and improvement areas

Reporting Structure

● Reports to: COO / Executive Leadership Team

● Owns Department: Customer Support, Onboarding & Implementation, Customer Success

● Manages teams across multiple geographies and time zones

Responsibilities

Solve complex performance problems and architectural challenges

Build reusable code and libraries for future use

Build efficient, testable, and reusable Node JS modules

End-to-end ownership of modules, including designing, development, validation, deployment

Specifications:

Understanding the fully synchronous behavior of NODE JS.

Familiarity with One OOPS language

Familiarity with Workers/child processes & performance tuning

Experience with SQL/NoSQL databases and their declarative query languages (MySQL, and Mongo dB)

Strong knowledge of the common NODE JS or web server exploits and their solutions

Experience -

2-6 Year Qualifications Desired Skills NodeJS, HTML, CSS, Angular/React, JavaScript, Web Application Development, SQL/NoSQL

Position: Logistics Specialist

Experience: 8 - 12 years in logistics and warehouse

Work location: Chennai

• You will be responsible for the inventory management, warehousing and logistics activities associated with the distribution.
• Coordinate end to end Warehouse Operations Inbound, Outbound ,Transportation and 3PL operations
  Drive efficient processes to enhance warehouse operations
• Controls inventory levels by conducting physical counts; reconciling with data storage system
• Experience with SAP order to cash process.(MM&SD Module) Excellent spreadsheet modeling skills required.

*Timely Submission of Tender and techno commercial offers. *Support to Regional Sales Team for offers and techno commercial queries.

*Arrange to keep Enquiry Tracking system updated.

*Preparation and analysis of cost sheet.

*Techno commercial discussion with customers.

*Arrange to organize a team to keep back up offers from vender for Non-STD jobs.

*Coordination with D & D for new product developments.

*Able to develop new clients and market segments.

*Know how about the market trend and competitors.

*To deal with the vendors for the offers required during pre-bid stage. *Having the knowledge about the compressor and package related items like heat exchangers, motor, control panel, piping etc.

*Having the knowledge of Reciprocating, Centrifugal air compressor and Reciprocating gas compressor.

*Adequate support to the regions. Sound knowledge of the different types of compressor packages.

*Review and submission of Tender.

*To deal directly with Customer / Consultants for getting drawing approvals, techno commercial discussion.

• Responsible for end to end recruitment
• Sourcing potential candidates from various job portals (Naukri, Monster, Linkedin)
• Conducting detailed telephonic, skype, or face to face interviews and coordinating with the candidates till on-boarding and do the joining formalities
• Design and update job description.
• Screening and shortlisting the prospective candidate based on the job profile.
• Coordinating interviews with the hiring managers.
• Follow up to ensure candidates attend interviews as scheduled.
• Following up on the interview process status.
• Document the process on Microsoft Excel.
• Coordinating with candidates for document verification
• Conduct a primary document verification
• Establish and maintain a good relationship with the employee

Key skills

• Fair Communication skills (written and Verbal)
• Proficient in handling job portals
• Good Interpersonal skills
• Good knowledge of excel, word, PowerPoint
• A quick learner and able to work independently with limited supervision