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Job Description : Backend Engineer Function: Software Engineering - Backend Development Experience : 2-3 years About the Role : We are seeking a highly motivated and experienced Golang Backend Engineer to join our team. This role will be instrumental in building and scaling our payment platform, requiring a deep understanding of the Indian payment ecosystem and experience working with payment aggregators and gateways. The ideal candidate will not only be a strong technical contributor but also a mentor and coach for other engineers, promoting best practices and driving engineering excellence. A DevOps and TechFinOps mindset is crucial for this role, as is the ability to collaborate effectively within an Agile environment. Responsibilities : Development and Design : - Design, develop, and maintain highly resilient and scalable backend services using Golang. - Contribute to the architecture and implementation of our payment platform, ensuring its performance, security, and reliability. Payment Domain Expertise : - Leverage your deep understanding of the Indian payment ecosystem to build and integrate with payment aggregators and gateways. - Stay up-to-date with the latest trends and regulations in the payment domain. Mentorship and Coaching : - Mentor and coach junior and senior engineers, sharing your knowledge and expertise. - Foster a culture of learning and growth within the team. - Champion engineering best practices, including code quality, performance tuning, chaos engineering, and operational excellence. - Drive the adoption of reusable components, frameworks, patterns, and configuration tools to accelerate development. DevOps and TechFinOps Mindset : - Apply a DevOps and TechFinOps mindset to problem-solving and product development. - Contribute to the automation of deployment and infrastructure management. - Consider the financial implications of technical decisions. - Work closely with product managers and other stakeholders in an Agile environment. - Participate in sprint planning, daily stand-ups, and retrospectives. - Take end-to-end ownership for the development and design of cloud-based products, from conception to deployment and maintenance. - Contribute to the development and maintenance of microservices and platforms. - Proactively identify areas for improvement in our development processes and technologies. - Stay proficient in new and emerging technologies. - Effectively communicate technical concepts to both technical and non-technical audiences. - Influence and persuade others without direct control. Requirements : - An Engineering Degree - B.E/B.Tech/MS/PhD in any stream - Computer Science preferred. - 2-3 years of relevant experience in building highly resilient, highly scalable systems. - Must have : Strong exposure in the Payment Domain and a strong understanding of the Indian payment ecosystem. - Must have : Experience working with Payment Aggregators and Payment Gateways. - Experience working with product management and Agile methodologies. - Demonstrated end-to-end ownership for the development and design of at least one cloud-based product. - Experience in building microservices/platforms is desirable. - Strong desire to drive change and ability to adapt to change quickly. - Proficient in new and emerging technologies. - Ability to balance the long-term big picture and short-term implications of design decisions. - Exceptional communication and interpersonal skills - including negotiation, facilitation, and consensus-building skills; ability to influence and persuade, without direct control. - Excellent in Engineering excellence - code quality, performance tuning/chaos engineering, operational excellence, etc. Tech Stack : Golang

Bangalore

Simpl - Backend Engineer - Golang (2-3 yrs)

About Simpl : Simpl is revolutionizing how people interact with money. We're tackling complex problems in the fintech space, and we need talented and passionate individuals to join our team. We're building a supportive and collaborative environment where smart people can thrive, with a focus on autonomy, impactful work, and personal growth. If you're driven to solve challenging problems and make a real difference, we encourage you to apply. About the Role : As a Data Scientist at Simpl, you will be a key contributor in developing data-driven solutions that directly impact our core business functions, including underwriting, anti-fraud, retention, and collections. You will work closely with cross-functional teams, leveraging your expertise in machine learning (ML), deep learning (DL), and potentially reinforcement learning (RL) to analyze large datasets, build sophisticated models, and deploy scalable solutions. This role offers an exciting opportunity to work on high-impact projects and further develop your skills in a fast-paced, high-performance environment. Responsibilities : - Own and lead data science projects from inception to completion, including defining problem statements, formulating hypotheses, designing experiments, and presenting results to stakeholders. - Collaborate with product managers and business stakeholders to understand business needs and translate them into actionable data science projects. - Prioritize and manage multiple projects concurrently, ensuring timely delivery and high-quality results. - Design, develop, and implement advanced machine learning models, including : 1. Supervised Learning : Regression (Linear Regression, Ridge/Lasso Regression, Support Vector Regression, Tree-based models like Random Forest, Gradient Boosting Machines (GBM), XGBoost, LightGBM, CatBoost) and Classification (Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, GBMs). 2. Clustering (K-Means, DBSCAN, Hierarchical Clustering), Dimensionality Reduction (PCA, t-SNE), Anomaly Detection. 3. Convolutional Neural Networks (CNNs) for image-related tasks. 4. Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRUs) for sequence data (time series, text), Transformers for NLP tasks. - Optimize model performance using techniques like hyperparameter tuning, cross-validation, and feature engineering. - Evaluate model performance using appropriate metrics and statistical methods. - Proactively monitor, evaluate, and optimize the performance of deployed models in production. - Develop and implement model monitoring systems to detect and address model drift and degradation. - Analyze model performance metrics, identify areas for improvement, and iterate on model development. - Clearly communicate the business impact of your models to stakeholders through reports, presentations, and dashboards. - Partner closely with data engineers to deploy and productionize machine learning models using appropriate technologies (Docker, Kubernetes, cloud-based deployment platforms). - Gain hands-on experience with the entire end-to-end data science pipeline, from data collection and preprocessing to model deployment, monitoring, and maintenance. - Collaborate with other data scientists and engineers to share knowledge and best practices.- - Explore and analyze large, complex datasets using tools like Pandas, NumPy, and SQL. - Identify patterns, trends, and anomalies in data that can inform business decisions. - Develop data visualizations and reports using libraries like Matplotlib, Seaborn, and Plotly to communicate findings effectively. - Embrace an experiment-driven approach to problem-solving. - Design and execute A/B tests and other experiments to evaluate the effectiveness of different approaches. - Iterate on solutions based on data and feedback. - Actively participate in Simpl's data science community by sharing knowledge, learning from peers, and contributing to a collaborative and supportive environment. - Stay up to date with the latest advancements in machine learning, deep learning, and related fields. Requirements : - Educational Background : Master's degree in computer science, Data Science, Mathematics, Statistics, or a related field. - A Ph.is a plus. - Expert proficiency in Python programming, including extensive experience with data science libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and other relevant libraries. - Ability to write clean, efficient, and well-documented code. - Expert proficiency in SQL for querying and manipulating data from relational databases. - Experience with writing complex SQL queries and stored procedures. - Machine Learning Expertise : Deep understanding of machine learning and deep learning concepts, including various algorithms, model evaluation metrics, and best practices. - Strong foundation in statistical concepts and linear algebra. - Familiarity with cloud platforms like AWS, GCP, or Azure, and experience with using cloud-based machine learning services. - Experience with big data technologies like Spark, Hadoop, and Hive. - Familiarity with MLOps principles and tools for deploying and managing machine learning models in production. - Extensive experience with data preprocessing techniques (data cleaning, feature engineering, feature selection), data validation, and model selection. - Experience with handling imbalanced datasets and missing data. - Ability to understand business objectives and translate them into data science problems. - Ability to align data science solutions with key performance indicators (KPIs). - Exceptional analytical thinking and problem-solving skills, with the ability to break down complex problems into smaller, manageable tasks. - Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences. - Ability to create compelling presentations and reports. Nice to Have : - Experience with deep learning models (CNNs, RNNs, Transformers), reinforcement learning, or graph-based techniques. - Familiarity with big data technologies (Spark, Hadoop) and cloud-based ML platforms (AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning). - Knowledge of real-time decisioning systems and financial risk modeling. - Prior experience in the fintech or payments industry. - Contributions to open-source projects, research papers, or data science blogs.

Anywhere in India/Multiple Locations

Simpl - Data Scientist - Machine Learning/Deep Learning (5-7 yrs)

About Simpl: Simpl is India's leading Merchant First Checkout Network, revolutionizing digital payments by making them invisible and intelligent. Our mission is to empower merchants to cultivate trusted customer relationships through seamless transactions. With a network of over 26,000 merchants and millions of users across India, Simpl is building a frictionless and inclusive digital payments ecosystem that fosters trust between businesses and their customers. Founded in 2015 by a Wall Street veteran, Simpl is backed by prominent global investors like Valar Ventures and IA Ventures, and is at the forefront of innovation in the fintech space. We operate at the crucial intersection of customers, merchants, and cutting-edge technology. About the Role : - We are seeking a talented and passionate Front-End Developer to join our growing Tech team. - You will play a vital role in building the client-side of our web applications, translating business and customer needs into functional and engaging interactive experiences. - If you are a tech-savvy professional with a passion for creating user-friendly interfaces, a strong understanding of front-end technologies, and a desire to advance your career, this is an excellent opportunity for you. - We are looking for someone who is curious about emerging digital technologies and is driven to combine usability with compelling visual design. - Your primary goal will be to develop a functional and visually appealing digital environment that delivers an exceptional user experience. Responsibilities : - Design, develop, and implement high-quality, efficient, and maintainable front-end code for our web applications. - Convert design mockups and wireframes into pixel-perfect, responsive, and cross-browser compatible user interfaces. - Optimize web application performance for speed, scalability, and accessibility. - Identify and address performance bottlenecks. - Develop and test applications across different browsers and devices to ensure a consistent user experience. - Work closely with back-end developers to integrate front-end and back-end components seamlessly. - Write clean, well-documented, and testable code, adhering to coding standards and best practices. - Keep abreast of the latest trends and technologies in front-end development, including new frameworks, libraries, and tools. - Participate in code reviews to ensure code quality and share knowledge with other team members. - Identify and resolve front-end issues and bugs, ensuring a smooth user experience. - Provide input and suggestions for UI/UX improvements based on user feedback and best practices. Requirements : - Demonstrable work experience as a Front-End Developer, with a portfolio showcasing your skills and projects. - Expert-level knowledge of HTML5 and semantic markup. - Expert-level knowledge of CSS3, including preprocessors (Sass, Less) and responsive design principles. - Experience with CSS frameworks ( Bootstrap, Tailwind CSS) is a plus. - Strong proficiency in JavaScript (ES6+), including DOM manipulation, asynchronous programming, and event handling. - Experience with at least one modern JavaScript framework (React, Angular, Vue.js).

Simpl - Frontend Engineer - HTML5/CSS3 (2-4 yrs)

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