Accounts Receivable Manager

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

Strong UI / Product / Visual Designer Profile (Not UX-focused)

Mandatory (Experience 1) – Must have 2+ Years of hands-on experience in UI / Product / Visual Design, with strong exposure to web and mobile app design (from concepting, wireframes, prototypes to final UI).

Mandatory (Portfolio) – Must have a strong visual/UI design portfolio showcasing product, web, and app UI work with clear emphasis on visual hierarchy, interaction detail, color, and layout.

Mandatory (Tools) – Proficiency in Figma, Adobe XD, FigJam, Photoshop, Illustrator (knowledge of Sketch, Axure, Zeplin is a plus).

Key Responsibilities

● Engage proactively with potential customers through outbound calls. ● Counsel students effectively and convert potential leads into successful sales.

● Respond promptly to assigned leads and demonstrate strong follow-up skills.

● Achieve weekly and monthly performance targets in a metrics-driven environment.

● Understand customer needs and provide suitable course recommendations.

Candidate Profile

● Excellent communication skills.

● Strong proficiency in English + Tamil / Telugu / Kannada / Hindi / Marathi. Knowledge of regional languages is an added advantage.

● Passion for building a successful career in sales.

● Customer-focused with strong persuasion and negotiation abilities. ● Confident, target-oriented, and self-driven.

● Must have a laptop with functional audio/video capabilities. 

• Minimum 5 years of Testing experience , with at least 3 years of Test Automation
• “Automation first” attitude.
• Strong sense of accountability and ownership.
• Good team player and communicator with a flexible, customer-driven attitude.
• Agile / Lean attitude and mindset.
• Believe in daily improvement, easily adapt to change and have fun while doing it.
• Work well independently and within a team.
• Knowledgeable about different Software Delivery Lifecycles.
• At least 1 year experience in using at least one tool for:
• Test automation tools: Selenium Web driver, Postman, RestApi Automation
• Non-functional testing: JMeter, HP LoadRunner

• Your Role and Responsibilities

1. Your main job involves creating new features on the visible parts of a website using React.js.
2. You'll be building reusable components that can be used again in the future, saving time and effort.
3. Designs for the website will be given to you, and you'll convert them into actual working and visually appealing website elements.
4. You'll ensure that the website works smoothly on various devices like phones, tablets, and computers.

• Skills and Traits We're Seeking

1. You have a strong understanding of React.js and its workings.
2. You're skilled in a JavaScript
3. Experience with common React.js workflows like Flux or Redux is important.
4. You're familiar with RESTful APIs.
5. Knowledge of modern security measures like JSON Web Token is important.
6. You're comfortable using tools that streamline the process of building website elements, such as Babel, Webpack, and NPM.
7. Translating business requirements into technical plans for the website comes naturally to you.
8. You've used version control tools like Git or SVN to manage and track changes in code.

• Expected Experience

1. You should have accumulated 2 to 4 years of relevant experience in this field.

Job Description Android Developer:

We are looking for an Android developer responsible for the development and maintenance of applications aimed at a vast number of diverse Android devices. Your primary focus will be the development of Android applications and their integration with back-end services. You will be working along-side other engineers and developers working on different layers of the infrastructure. Therefore, commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.

Skill Requirements:

• Degree in software development, computer science, or similar.
• Proficiency in Java, Kotlin, or C++.
• Ability to use the Android Studio, including the Android SDK, with ease.
• Prior experience as an android developer will be advantageous.
• Excellent coding and proofreading skills.
• Top-notch teamwork and communication skills.
• Ability to manage your workload with minimal supervision.
• Unwavering curiosity.

Android Developer Responsibilities:

• Conceptualizing and formulating apps that are suitable for use on all types of Android devices.
• Implementing measures to safeguard users' data.
• Ensuring that the construction and presentation of your apps are congruent with the company's standards.
• Proofreading your code and correcting mistakes before each app is released.
• Collaborating with UI and UX Designers, as well as Software Testers, to ensure that each app is presentable and in perfect working order.
• Liaising with the marketing department to ensure consistency in our company's 'voice' across the board.
• Monitoring app reviews to detect areas for improvement.
• Creating app updates, including bug fixes and additional features, for release.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred