Senior Backend Engineer

Job Title : Python Backend Lead / Senior Python Developer

Experience : 6 to 10 Years

Location : Bangalore (CV Raman Nagar)

Openings : 8

Interview Rounds : 1 Virtual + 1 In-Person (Face-to-Face with Client)

Note : Only local Bangalore candidates will be considered

About the Role :

We are seeking an experienced Python Backend Lead / Senior Python Developer to design, develop, and optimize scalable backend solutions.

The role involves working with large-scale data, building efficient APIs, integrating middleware solutions, and ensuring high performance and reliability.

You will lead a team of developers while also contributing hands-on to coding, design, and architecture.

Mandatory Skills : Python (Pandas, NumPy, Matplotlib, Plotly), FastAPI/FlaskAPI, SQL & NoSQL (MongoDB, CRDB, Postgres), Middleware tools (Mulesoft/BizTalk), CI/CD, RESTful APIs, OOP, OOD, DS & Algo, Design Patterns.

Key Responsibilities :

• Lead backend development projects using Python (FastAPI/FlaskAPI).
• Design, build, and maintain scalable APIs and microservices.
• Work with SQL and NoSQL databases (MongoDB, CRDB, Postgres).
• Implement and optimize middleware integrations (Mulesoft, BizTalk).
• Ensure smooth deployment using CI/CD pipelines.
• Apply Object-Oriented Programming (OOP), Design Patterns, and Data Structures & Algorithms to deliver high-quality solutions.
• Collaborate with cross-functional teams (frontend, DevOps, product) to deliver business objectives.
• Mentor and guide junior developers, ensuring adherence to best practices and coding standards.

Required Skills :

• Strong proficiency in Python with hands-on experience in Pandas, NumPy, Matplotlib, Plotly.
• Expertise in FastAPI / FlaskAPI frameworks.
• Solid knowledge of SQL & NoSQL databases (MongoDB, CRDB, Postgres).
• Experience with middleware tools such as Mulesoft or BizTalk.
• Proficiency in RESTful APIs, Web Services, and CI/CD pipelines.
• Strong understanding of OOP, OOD, Design Patterns, and DS & Algo.
• Excellent problem-solving, debugging, and optimization skills.
• Prior experience in leading teams is highly desirable.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Job Responsibilities:

• Design, test, and build scalable backend python services
• Closely collaborate with marketing and product teams to build innovative, robust and easy-to-use features that serve.
• Developing high quality code based on detailed designs that cater to the product requirements.
• Responsible for troubleshooting, testing and maintaining the core product software and databases to ensure strong optimisation and functionality

Required Skills:

• Degree in Computer Science, Software Engineering or equivalent.
• Minimum 3+ years experience in software development.
• Expertise in Python 3.7, Django 2.2+ and REST APIs.
• Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment
• Hands-on, self-starter, capable of working independently
• True love for technology and what you do
• Maniacal attention to detail

Job Overview

We are looking for a talented Senior Backend Developer to join our team in developing backend servicing. As a key member of our development team, you will be responsible for cross-functional teams to design, develop, and maintain backend services and APIs using Node.js. The ideal candidate is passionate about distributed systems, has experience with backend services and is excited about optimising applications for performance, scalability, and reliability.

Responsibilities:

• Design, develop, and maintain backend services and APIs using Node.js.
• Collaborate with cross-functional teams to define requirements, architect solutions, and implement features.
• Write clean, modular, and maintainable code following best practices and coding standards.
• Optimise applications for performance, scalability, and reliability.
• Implement security measures to ensure data privacy and integrity in backend systems.
• Troubleshoot and debug issues to ensure smooth operation of production systems.
• Perform code reviews to maintain code quality, consistency, and adherence to coding standards.
• Stay updated with the latest trends and technologies in backend development, Node.js, and related ecosystems

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in backend development, with at least 4 years of experience using Node.js.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with web frameworks such as Express.js.
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with relational and NoSQL databases (e.g., MongoDB, PostgreSQL).
• Solid understanding of asynchronous programming and event-driven architectures.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Ability to work independently and in a team environment, with excellent communication skills.

Python Developer

6-8 Years

Mumbai

N.p only immediate or who is serving LwD is 1st week of july.

• Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
• Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
• Experience with following libraries boto3, behave, pytest, moto, localstack, docker
• Basic knowledge about terraform, gitlab ci
• Experience with SQL DB

1. Building REST API's & Services In Django Framework
2. Building reusable code and libraries for future use
3. Optimization of the application for maximum speed and scalability
4. Implementation of security and data protection
5. Design and implementation of the database schema
6. Design and implementation of data storage solutions
7. Implementing CI/CD pipeline

• Proficient knowledge of a back-end programming language Python
• Hands-on experience with Python Frameworks like Django
• Proficient knowledge of MySQL, PostgreSQL
• Creating database schemas that represent and support business processes (Relational & NoSQL)
• Understanding of queueing systems like Redis/AWS SQS
• User authentication and authorization between multiple systems, servers, and environments
• Data migration, transformation, and scripting
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Proficient understanding of code versioning tools, such as Git

• Experience in Docker
• HandsOn Knowledge with implementing CI/CD pipelines
• Experience in managing applications on AWS
• Management of hosting environment, including database administration and scaling application to support load changes
• Product wide application-level thinking on API and data modeling

Job Description:

• Resource should be proficient in analyzing, designing and developing applications based on the requirements provided by business counterparts
• Developing and maintaining applications developed in Java, J2EE, Struts and Spring and possessing 3-layer architecture
• Good knowledge in Spring Boot, Hibernate, Angular JS, Docker, VUE JS and AWS
• Applications development or maintenance using ORM tools such as Hibernate
• Database management which includes DB design and maintenance, mostly related to 2016 and Oracle 19c, DB2
• Should have knowledge in Unix / Linux OS.
• Should have good knowledge in Shell scripting language
• Strictly adhere to the internal SDLC process quality standards set but the organization and providing the drive to the team to achieve the KPI and SLA targets
• Flexible to work in extended time
• Candidate should have good experience on Java / J2EE, Springboot, Hibernate / JPA, Oracle query, Web Services and Rabbit MQ.
• Should have minimum of 3 to 5 years of experience. Should be able to work on enhancement, maintenance and production support.
• Good to have hands-on experience on DEVOPS & API development.