Business Analyst

Senior Backend Engineer

Node.js, System Design & Production Platforms

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior Backend Engineer to own the backend architecture of a complex production AI platform on a dedicated client engagement: API design and data modelling, multi-tenancy, orchestration of long-running agent workloads, and the services that manage user projects and generated output.

We are open to full stack engineers whose primary strength and interest is backend. If you have shipped full stack work but the backend is where you do your deepest engineering, you are a fit for this role.

The mandatory requirement for this role is hands-on production experience as a senior backend engineer building complex, scalable systems in Node.js, with end-to-end ownership of architecture, data, and operations on at least one live platform.

The role is hands-on and architectural.

Expect to design system architecture, lead a small group of backend engineers, build the hardest parts yourself, set engineering standards, and partner closely with frontend, AI, and DevOps engineers.

A typical week includes an architecture decision on a new service, hands-on implementation of a critical path, a code review with mid-level engineers, and a working session with the AI engineer on an integration contract.

Responsibilities:

System Architecture

Own the backend architecture across engagements.

Make and document decisions on service boundaries, data models, API contracts, deployment topology, and trade-offs.

Hands-on Backend Delivery

Lead by example on complex modules, performance-critical paths, and high-risk areas using Node.js (Express, NestJS, Fastify) with TypeScript.

Pick up Python (FastAPI) where engagements require it.

Database Design and Performance

Drive PostgreSQL schema design, indexing, query optimisation, migrations, and capacity planning.

Set the data-modelling standard across the pod.

Caching, Queues, and Workflows

Design caching (Redis), event-driven patterns (Kafka, RabbitMQ, SQS, NATS), and long-running workflow orchestration (Temporal, BullMQ, Celery, or equivalent).

Handle retries, idempotency, and failure recovery.

Multi-Tenancy and Platform Patterns

Design and implement multi-tenant data isolation, RBAC, audit logging, and resource quotas appropriate to enterprise-grade products.

API and Integration Design

Set the standard for REST, GraphQL, and gRPC contracts.

Drive versioning, authentication (OAuth, JWT, SSO), security by default, and developer ergonomics.

Observability and Operations

Instrument services with OpenTelemetry, Prometheus, and Grafana.

Define SLOs, lead incident response, and write postmortems.

Code Quality and Mentorship

Run code reviews, define conventions, mentor mid-level engineers, and raise the engineering bar.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day.

Set the team standard for prompts, patterns, AI-assisted review, and validation of AI-generated backend code.

Client Engagement

Represent Unico Connect in technical conversations with customers.

Defend architectural decisions, communicate trade-offs, and manage scope.

Requirements:

Hands-on Production Experience as a Senior or Lead Backend Engineer in Node.js (Mandatory)

Must have personally built and shipped complex production systems in Node.js, owning architecture, data, and operations on at least one live engagement.

Full stack engineers whose deepest work is on the backend qualify.

POCs and internal tools alone do not qualify.

5+ Years of Professional Backend Engineering Experience

With at least 1 to 2 years in a senior or lead role with direct responsibility for technical decisions and team output.

Deep Node.js and TypeScript Proficiency

Strong with Express, NestJS, or Fastify.

Comfort with async patterns, streams, worker threads, and performance profiling.

Python as a Strong Plus

Hands-on production experience with FastAPI, Django, or Flask is a meaningful advantage.

Willingness and demonstrated ability to pick up Python as engagements demand is required.

PostgreSQL Depth

Schema design, normalisation, indexing, query performance, migrations, and at least one production system where you owned the data model end to end.

Caching and Event-Driven Architecture

Hands-on with Redis (or equivalent) and message queues or event-driven patterns (RabbitMQ, SQS, Kafka, NATS).

AWS Depth

Hands-on production experience with EC2, S3, RDS, IAM, VPC, ECR, and at least one of EKS, ECS, or Lambda.

Comfort owning deployment, monitoring, and cost.

System Design and End-to-End Ownership

Able to take an ambiguous problem, break it into components, evaluate alternatives, produce an architecture that holds up under review and load, plan execution, and ship with limited supervision.

AI-Assisted Engineering Experience

Daily use of Claude, Cursor, Copilot, or equivalent.

Strong discipline for reviewing and validating AI-generated backend code.

Excellent Written and Spoken English

Experience working directly with international clients.

Confident defending architectural choices in writing and in review.

Nice to Have:

• Workflow orchestration (Temporal, Airflow)
• GraphQL (Apollo, gRPC)
• Sandboxed execution environments
• Multi-tenant SaaS experience
• OpenTelemetry instrumentation
• Prior agency or consulting experience

EDI Tester / QA Analyst

Role Summary:

Validates migrated EDI maps, ensuring data integrity and functional accuracy across customer configurations.

Key Responsibilities:

• Develop and execute EDI-specific test cases and scenarios.
• Verify transaction correctness for multiple customer configurations.
• Conduct regression and integration testing.
• Log, track, and retest defects.
• Support client UAT.

Skills Required:

• Experience in EDI testing (X12, EDIFACT standards).
• Knowledge of Profit Tools and PortPro transaction workflows.
• Proficiency in test management tools (e.g., JIRA, TestRail).
• Data validation skills (SQL, XML/JSON parsing).
• Understanding of API testing (Postman, SoapUI).
• Strong analytical and documentation skills.

1. Job Overview: The position requires a dynamic Sales and Marketing Engineer with experience in BUILDING AUTOMATION SOLUTIONS Project Sales. The role involves driving sales, building client

relationships, and promoting BUILDING AUTOMATION SOLUTIONS to achieve business objectives.

2. Responsibilities:

Sales and Marketing Strategy:

 Develop and implement comprehensive sales and marketing strategies for BUILDING

AUTOMATION SOLUTIONS.

 Identify and pursue new business opportunities in target markets and industry segments.

 Collaborate with the marketing team to create compelling promotional materials.

Client Engagement:

 Build and maintain strong relationships with existing clients while actively seeking new partnerships.

 Conduct client needs assessments and propose tailored BUILDING AUTOMATION

SOLUTIONS

 Conduct product demonstrations and presentations to showcase the benefits of offerings.

Technical Expertise:

 Possess in-depth technical knowledge of BUILDING AUTOMATION SOLUTIONS & ELV systems.

 Provide technical support to clients during pre-sales and post-sales phases.

 Stay abreast of industry trends to position solutions competitively.

Market Analysis:

 Conduct market research to identify industry trends, competitor activities, and market demands.

 Analyze customer feedback and market dynamics to enhance product offerings.

3. Qualifications:

 Bachelor& degree in Instrumentational / Electronics Engineering, Automation, or a related field.

 Proven experience in sales and marketing of BUILDING AUTOMATION SOLUTIONS.

 Strong technical understanding of HVAC and BUILDING AUTOMATION SOLUTIONS.

 Excellent communication and presentation skills.

 Results-oriented with a track record of meeting or exceeding sales targets.

4. Key Skills:

 Automation Sales BUILDING AUTOMATION SOLUTIONS/ELV /Project Sales

Additional Skills:

 Automation Products/Project Knowledge.

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

Engineering Manager – B2B SaaS  

Knowmax is the leading provider of Customer Experience Knowledge Management solutions, revolutionizing how CX knowledge is created, curated, and consumed. We're a fast-growing SaaS startup with a mission to make solving customer problems faster, smarter, and more accessible for employees and agents across global enterprises. 

We’re looking for an Engineering Manager to join our core team in Gurgaon and play a pivotal role in shaping the future of our enterprise platform. 

Who are we looking for? 

An experienced technologist with a strong engineering foundation, a sharp product mindset, and a knack for leading high-performance teams. If you have founding or early-stage startup experience, and enjoy building from the ground up, we’d love to meet you. 

What will you do? 

Provide technical direction and leadership across engineering projects and initiatives 

Lead end-to-end design, development, testing, deployment, and maintenance of our core SaaS platform 

Own engineering roadmaps, set technical goals, and translate product requirements into execution plans 

Ensure code quality with robust review processes, clean coding practices, and architectural best practices 

Mentor engineers, build a collaborative team culture, and grow technical leadership within the team 

Collaborate cross-functionally with Product, Design, QA, and DevOps 

Drive excellence in CI/CD pipelines, cloud architecture, and performance optimization 

Maintain regular tracking of project delivery, timelines, and risks 

Promote a culture of continuous learning, ownership, and innovation 

Skills & Competencies 

8–12 years of experience in software engineering with 5+ years of hands-on development 

2+ years leading engineering teams or managing projects in a B2B SaaS environment 

Proficiency in modern tech stacks – TypeScript, React/Next.js, Node/Nest.js 

Experience with PostgreSQL/MySQL and cloud infrastructure (AWS/OCI) 

Familiarity with Agile methodologies (Scrum/Kanban) 

Strong technical decision-making and people management skills 

Previous founder/founding team experience is a big plus 

You thrive in fast-paced, high-growth environments and are passionate about building great tech 

Why Knowmax? 

Be part of a core leadership team in a high-growth SaaS company 

Shape the tech stack, culture, and product direction from the ground up 

Work closely with passionate founders and cross-functional leaders 

Build a product that solves real-world problems for global enterprises 

If you're ready to drive impact, build world-class tech, and grow with a purpose-driven team—let’s talk. 

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

Responsibilities:

As a Business Development Manager working under the FMCG segment must perform the following responsibilities

. Create exclusive distributors, exclusive super stockiest and business associates for the company and guide, and coordinate them to achieve the target towards the entire business growth.

. Observe all the stock reports, product orders, re-order etc.

.Finding and developing new markets and improving sales.

Requirements:

.Bachelor's degree and experience in business, marketing or related field.

.Strong communication skills.

. Basic knowledge of Word, excel, and PowerPoint.

.Minimum age should be 27.

We are looking to hire Java developers who can help us in our mission to transform ideas into applications. Our cross-functional team of motivated, skilled and experienced software engineers and designers, help the clients unlock the business values of their enterprises in a time-bound and cost-effective manner. True to our team you would be working on high-impact projects and making a dent in the Service industry on a daily basis. 

Skills :

• Excellent Communication Skills
• 4-6 years of experience in Java8 Development.
• V yAPI, Spring Boot/MVC, Spring Security
• Hibernate, JPA, MySQL/POSTGRES, Jenkins, Git
• Experience of developing high-performance and scalable web applications and APIs using frameworks such as Spring Boot/MVC, Spring Security, Hibernate, and JPA.
• Hands-on Experience of Version control(Git), MYSQL/POSTGRES, Jenkins, etc.

• 3-6 years of industry work experience 
• Proven experience as a Full Stack Developer or similar role 
• 1+ years of web application development with JavaScript as full stack 
• End-to-end full stack experience designing and building scalable applications 
• Excellent JavaScript / Typescript skills 
• Strong proficiency in React (hooks knowledge is plus) 
• Strong proficiency in Nodejs 
• Good HTML5 / CSS3 skills with expertise on responsive web design 
• Must have development experience in Micro services using NodeJS and TypeScript 
• Experience with NoSQL databases such as MongoDB, mongoose, aggregation framework and Redis 
• Experience with Web sockets and related frameworks (e.g. Socket.IO) 
• Experience in using and developing GraphQL APIs 
• Knowledge of code versioning tools such as Git, Mercurial or SVN. 
• Open minded to take up any challenge, research and provide solutions

Required Skills:

ReactJS, Node.JS, HTML, CSS, Javascript, NoSQL