
Simpl (Fintech of the year - 2020) is a platform that empowers retailers to grow by building long term trusted relationships with their customers, one transaction at a time. For consumers, Simpl provides frictionless access to e-commerce, trust, safety and effortless budgeting, in 1-click.
Under the hood, we are building the payments infrastructure (identity, trust score and security) ground up for a world that is mobile first, where consumers frequently buy on the go & love convenience.
Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards a new world of Networked Commerce where commerce is easy, safe, affordable without fine prints & just Simpl!
Simpl was founded in 2015 by Nityanand Sharma and Chaitra Chidanand, and went live in 2016.
Role Summary:
We’re looking for polyglot developers who love to code. You should have >4 years of experience building high-quality products. You should have the ability to write clean code and must’ve worked on Ruby on Rails

About Simpl
About
Simpl has revolutionized online checkout in India by creating a Pay-Later platform, empowering e-commerce merchants to offer their consumers a 1-click checkout, a line of credit at POS, and full buyer protection. It aims to empower merchants to own their customer's checkout experience. With Simpl merchants are able to provide consumers with an easy, safe, and intuitive user experience that builds a trusted relationship between the two.
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Responsibilities:
- Working with the development team to deliver large-scale web applications.
- Working alongside project managers and clients.
- Work with the development team to troubleshoot the development environment, production environment, performance tune, and optimize code.
- Adhere to the code conventions strictly.
Requirements:
- Working knowledge of Python, Linux, and Debugging skills.
- Skills: RDBMS (MySQL, PostGreSQL), Shell Scripting, Web Server and Interpretors (nGinx, Apache, uwsgi, mod_python), GIT.
- Knowledge of Javascript/ JQuery, HTML/ CSS, JSON, AJAX, Google APIS (Maps, Charts).
Preferred:
- 3+ Years of experience overall.
- 3+ years of experience in Python scripting and Linux.
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 Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred)
Job Overview:
We are looking for a seasoned Senior Backend Engineer (SDE III) with over 5 years of experience to lead, mentor, and grow a high-performing engineering team. The ideal candidate will have extensive hands-on experience in software development, deep technical expertise, and a proven track record of successfully leading large-scale engineering teams and projects. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence.As a Backend Lead, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization’s goals and play a critical role in shaping the technology roadmap and engineering culture.
Key Responsibilities:
- Leadership and Team Development: Lead and inspire a team of engineers, fostering a culture of innovation, accountability, and continuous improvement. Manage the hiring, training, and career development of engineering staff.
- Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Define technology roadmaps and ensure alignment with organizational goals.
- Technical Excellence: Guide the team in designing and implementing scalable, robust software systems. Drive the adoption of best practices in architecture, coding standards, and software testing to ensure high-quality product delivery.
- Project and Program Management: Oversee the successful delivery of engineering projects, ensuring deadlines, quality standards, and budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
- Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
- Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.
- Stakeholder Communication: Act as the technical point of contact for stakeholders, providing regular updates on project progress, resource allocation, and performance metrics. Communicate complex technical concepts to non-technical stakeholders.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in software engineering
- Proven track record of successfully delivering large-scale, high-impact software projects.
- Strong understanding of software architecture, design patterns, and scalable system design.
- Expertise in multiple programming languages and modern development frameworks For this role we require expertise in Python/Django and API Development
- Experience with cloud infrastructure (AWS), microservices, and distributed systems.
- Good experience with MySQL and ElasticSearch. Slight experience with other NoSQL and SQL databases.
- Experience in DevOps, CI/CD pipelines, and infrastructure automation.
- Experience in delivering full-stack B2B/SaaS applications including mobile applications, web frontend, and a scalable backend.
- Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
- Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.
Position - RoR Developer
Responsibilities -
Candidate should
- Write clean, maintainable and efficient code
- Design robust, scalable and secure features
- Contribute in all phases of the development lifecycle
- Follow best practices (test-driven development, continuous integration, SCRUM, refactoring and code standards)
- Drive continuous adoption and integration of relevant new technologies into design.
Skills -
- Proven work experience in software development
- Demonstrable knowledge of front-end technologies such as JavaScript, HTML, CSS and JQuery
- Experience developing highly interactive applications
- A firm grasp of object oriented analysis and design
- Passion for writing great, simple, clean, efficient code
- Good knowledge of relational databases
- Working knowledge of NoSQL databases
Experience - 3 years of experience as a Ruby on Rails developer
- Deep understanding of Django and DRF
- Write effective, scalable code
- Develop back-end components to improve responsiveness and overall performance
- Integrate user-facing elements into applications
- Test and debug programs
- Improve functionality of existing systems
- Implement security and data protection solutions
- Assess and prioritize feature requests
- Coordinate with internal teams to understand user requirements and provide technical solutions
Responsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.










