AI Solution Backend Developer

at Certa

AI Solution Backend Developer

Certa

Company

Home

AI Solution Backend Developer

at Certa

Posted by Gyan S

3 - 6 yrs

Best in industry

Remote only

Skills

Python

Django

PyTorch

Large Language Models (LLM) tuning

Generative AI

Artificial Intelligence (AI)

Prompt engineering

Retrieval Augmented Generation (RAG)

AI Agents

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!)

Location: Remote (India only)

Role Overview

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!)

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About Certa

Founded :

2018

Type :

Products & Services

Size :

100-1000

Stage :

Raised funding

About

Certa’s no-code platform makes it easy to digitize and manage the lifecycle of all your suppliers, partners, and customers. With automated onboarding, contract lifecycle management, and ESG management, Certa eliminates the procurement bottleneck and allows companies to onboard third-parties 3x faster.

Python

Django

Artificial Intelligence (AI)

Javascript

React.js

TypeScript

Test Automation (QA)

JSON

Docker

Terraform

Elastic Search

MongoDB

Company video

Connect with the team

Himanshu Shankar

Rajat Vijay

ayushi sethi

Abhinav Dabral

Company social profiles

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Familiarity with Golang ecosystem

Familiarity with running web services at scale; understanding of systems internals and networking are a plus

Be familiar with HTTP/HTTPS communication protocols. Abilities and Traits

Ability to work under pressure and meet deadlines

Ability to provide exceptional attention to details of the product.

Ability to focus for extended periods of repetitious activity.

Ability to think ahead and anticipate problems, issues and solutions

Work well as a team player and help the team members to resolve issues

Be committed to quality and be structured in approach

Excellent and demonstrable concept formulation, logical and analytical skills

Excellent planning, organizational, and prioritization skills

Job Types: Full-time, Permanent

Salary: upto 20LPA

Responsibilities

Design, write and deliver highly scalable, reliable and fault tolerant systems with minimal guidance

Participate in code and design reviews to maintain our high development standards

Partner with the product management team to define and execute the feature roadmap Translate business requirements into scalable and extensible design

Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies

Coordinate with cross functional teams (Mobile, DevOps, Data, UX, QA etc.) on planning and execution

Continuously improve code quality, product execution, and customer delight

Willingness to learn new languages and methodologies

An enormous sense of ownership

Engage in service capacity and demand planning, software performance analysis, tuning and optimization

The Ideal Candidate Education

Degree in Computer Science or equivalent with 5+ years of experience in commercial software development in large distributed systems Experience

Hands-on experience in designing, developing, testing and deploying applications on Golang, Ruby,Python, .Net Core or Java for large scale applications

Deep knowledge of Linux as a production environment

Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architectures

Expert in at least 1 of the following languages: Golang, Python, Ruby, Java, C, C++

Proficient in OOP, including design patterns.

Ability to design and implement low latency RESTful services

Hands-on coder who has built backend services that handle high volume traffic.

Strong understanding of system performance and scaling

Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability

Data modeling experience in both Relational and NoSQL databases

Continuously refactor applications to ensure high-quality design

Ability to plan, prioritize, estimate and execute releases with good degree of predictability

Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks

Passion for learning new things, solving challenging problems

Nice to have

Familiarity with Golang ecosystem

Familiarity with running web services at scale; understanding of systems internals and networking are a plus

Be familiar with HTTP/HTTPS communication protocols. Abilities and Traits

Ability to work under pressure and meet deadlines

Ability to provide exceptional attention to details of the product.

Ability to focus for extended periods of repetitious activity.

Ability to think ahead and anticipate problems, issues and solutions

Work well as a team player and help the team members to resolve issues

Be committed to quality and be structured in approach

Excellent and demonstrable concept formulation, logical and analytical skills

Excellent planning, organizational, and prioritization skills

Job Types: Full-time, Permanent

Salary: upto 20LPA

Backend Engineer

at InnovAccer

3 recruiters

Agency job

via zyoin by Deepana Shahabadi

Bengaluru (Bangalore), Hyderabad

5 - 9 yrs

₹28L - ₹60L / yr

Python

Java

Data Structures

Algorithms

Django

+2 more

Your Role

We at Innovaccer are looking for Software Development Engineer-II (Backend) to build the most amazing product experience. You’ll get to work with other engineers to build delightful feature experience to understand and solve our customer’s pain points.

A Day in the Life

Building efficient and reusable applications and abstractions.
Identify and communicate back-end best practices.
Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery
Analyse and improve the performance, scalability, stability, and security of the product
Improve engineering standards, tooling, and processes

What You Need

3+ years of experience with a start-up mentality and high willingness to learn
Solid knowledge of Python and experience with any web framework (Django, etc)
Aggressive problem diagnosis and creative problem-solving skill
Experience in Web Services and REST.
Experience in RDBMS & NoSQL database.
Experience in Solution Architecture.
Proven experience with Git.
Knowledge of high-level JavaScript concepts like asynchronous programming, closures, promises, data-binding, async-await, etc.
Bachelor's degree in Computer Science/Software Engineering.

Preferred Skills

Expert in Python and Django Code Reviews
Server Deployment
Mongo DB/Postgres SQL DB
JIRA Administration

What We Offer

Industry-focused Certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, you will dive straight in and be certified by the best in the world.
Quarterly Rewards and Recognition Programs: We foster learning and encourage people to take moonshots. When you achieve your goals, we recognize and reward your hard work.
Health Benefits: We cover health insurance for you and your loved ones.
Sabbatical Policy: We encourage people to take time off and rejuvenate, upskill and pursue their interests so that they can generate new ideas for innovating at Innovaccer.
Pet-friendly office and open floor plan. No mundane cubicles.

Your Role

A Day in the Life

Building efficient and reusable applications and abstractions.
Identify and communicate back-end best practices.
Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery
Analyse and improve the performance, scalability, stability, and security of the product
Improve engineering standards, tooling, and processes

What You Need

3+ years of experience with a start-up mentality and high willingness to learn
Solid knowledge of Python and experience with any web framework (Django, etc)
Aggressive problem diagnosis and creative problem-solving skill
Experience in Web Services and REST.
Experience in RDBMS & NoSQL database.
Experience in Solution Architecture.
Proven experience with Git.
Knowledge of high-level JavaScript concepts like asynchronous programming, closures, promises, data-binding, async-await, etc.
Bachelor's degree in Computer Science/Software Engineering.

Preferred Skills

Expert in Python and Django Code Reviews
Server Deployment
Mongo DB/Postgres SQL DB
JIRA Administration

What We Offer

Industry-focused Certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, you will dive straight in and be certified by the best in the world.
Quarterly Rewards and Recognition Programs: We foster learning and encourage people to take moonshots. When you achieve your goals, we recognize and reward your hard work.
Health Benefits: We cover health insurance for you and your loved ones.
Sabbatical Policy: We encourage people to take time off and rejuvenate, upskill and pursue their interests so that they can generate new ideas for innovating at Innovaccer.
Pet-friendly office and open floor plan. No mundane cubicles.

Backend Developer

at wwwemotcoin

1 recruiter

Posted by Shiv Garg

Bengaluru (Bangalore)

1 - 2 yrs

₹1L - ₹3L / yr

Python

Django

Redis

Internet of Things (IOT)

DevOps

+3 more

We are looking for Interns or 0-1 Year experienced person for our IoT Division based out of Bangalore. Option for Work from Home is also available.  

Qualification:

Any Graduate in Computer Science / Electronics / Information Science / Instrumentation from reputed institutions 

Required Skills Experience:

1+ years of experience in Python with FastAPI must.
1+ years of experience in working with a database like PostgreSQL.
Experience of working on any Linux based OS
Experience of working on AWS
Understanding of micro-services.
Should be able to meet SLAs as per the priorities.
Good communication skills.
Ability to prioritize and execute tasks in a high-pressure environment.

Desired Skills Experience:

Knowledge of Python, Django Framework or REST API.
Knowledge of Docker and Redis.
AWS Certified Solutions Architect Associate is a plus.
Experience with Fast API.
Exposure to CI/CD practices.
Awareness of Shell scripting

Keywords: #AWS #EC2 #Python #Psql #Django #Docker #Redis #Kafka.

We are looking for Interns or 0-1 Year experienced person for our IoT Division based out of Bangalore. Option for Work from Home is also available.  

Qualification:

Any Graduate in Computer Science / Electronics / Information Science / Instrumentation from reputed institutions 

Required Skills Experience:

1+ years of experience in Python with FastAPI must.
1+ years of experience in working with a database like PostgreSQL.
Experience of working on any Linux based OS
Experience of working on AWS
Understanding of micro-services.
Should be able to meet SLAs as per the priorities.
Good communication skills.
Ability to prioritize and execute tasks in a high-pressure environment.

Desired Skills Experience:

Knowledge of Python, Django Framework or REST API.
Knowledge of Docker and Redis.
AWS Certified Solutions Architect Associate is a plus.
Experience with Fast API.
Exposure to CI/CD practices.
Awareness of Shell scripting

Keywords: #AWS #EC2 #Python #Psql #Django #Docker #Redis #Kafka.

Software Engineer- Backend

at Radiusagent

2 recruiters

Posted by Darshana Rathi

Bengaluru (Bangalore)

0 - 7 yrs

₹5L - ₹22L / yr

Algorithms

Data Structures

Java

SQL server

Python

+2 more

Role Description:

As a Lead Backend Engineer , you will be responsible for designing and deploying scalable, highly available, and fault-tolerant systems for Radiusagent. Experience as a Tech Lead, managing tasks with back-end engineers while coding themselves will be a bonus point for the ideal candidate.

Responsibilities will include-

You will contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing, and operations.
You will build cutting-edge scalable systems by writing simple and efficient code.
You will push your design and architecture limits for new product development.
You will ensure compliance with the build/release and configuration management process.

Skills needed:

be able to design and build modules from ground up
proficient in any one programming language out of php/golang/node/python/javascript/java/ruby and ability to pick up others
experience with mysql/postgres/mongodb/couchdb
experience with redis/memcached
experience with rabbitmq / kafka
experience in having written cron jobs, troubleshooting downtime
ability to work with ambiguous requirements
good understanding of OS concepts

Nice to haves:

experience with managing VMs' on aws/gcp/digitalocean
experience with docker/kubernetes
experience elasticsearch or lucene

Role Description:

Responsibilities will include-

You will contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing, and operations.
You will build cutting-edge scalable systems by writing simple and efficient code.
You will push your design and architecture limits for new product development.
You will ensure compliance with the build/release and configuration management process.

Skills needed:

be able to design and build modules from ground up
proficient in any one programming language out of php/golang/node/python/javascript/java/ruby and ability to pick up others
experience with mysql/postgres/mongodb/couchdb
experience with redis/memcached
experience with rabbitmq / kafka
experience in having written cron jobs, troubleshooting downtime
ability to work with ambiguous requirements
good understanding of OS concepts

Nice to haves:

experience with managing VMs' on aws/gcp/digitalocean
experience with docker/kubernetes
experience elasticsearch or lucene

Python Developer

Product / Internet / Fintech Companies

Agency job

via Archelons Consulting by Meenu Singh

Bengaluru (Bangalore)

1 - 5 yrs

₹8L - ₹25L / yr

Python

Django

Data Structures

Algorithms

Software Development

+1 more

At least 2-5 years of working experience in web services, preferably in Python
Should have built and released APIs in production
Experience working with RDBMS and NoSQL databases
Designing thoughtful, extensible data models
Knowledge of identifying, defining and building micro-services
Working knowledge of GCS, AWS, Azure or any other cloud provider
Aggressive problem diagnosis and creative problem-solving skills
Good communication skills - written and spoken

At least 2-5 years of working experience in web services, preferably in Python
Should have built and released APIs in production
Experience working with RDBMS and NoSQL databases
Designing thoughtful, extensible data models
Knowledge of identifying, defining and building micro-services
Working knowledge of GCS, AWS, Azure or any other cloud provider
Aggressive problem diagnosis and creative problem-solving skills
Good communication skills - written and spoken

Backend Developer

at StuCred

1 recruiter

Posted by Jansi Rani

Chennai

3 - 6 yrs

₹4L - ₹8L / yr

NodeJS (Node.js)

PHP

Python

NOSQL Databases

MEAN stack

We are looking for a motivated and talented MEAN Stack Developer to join our talented and fun dream team. Must have: Previous working experience as a Full-stack Developer for 4+ years with a minimum one-year experience with MEAN Full stack paradigm. In depth knowledge of NodeJS, ExpressJS, AngularJS and MongoDB. Experience implementing applications using Angular 4. Experience creating front end applications using HTML5, Angular. Experience in coding back end applications using Node.js and MongoDB. Hands on experience with JavaScript Development on both client and server-side. Consumer Web Development Experience for High-Traffic, Fin-tech applications. Experience with AWS technologies is a must. Creating secure RESTful-based web services in XML and JSON, JavaScript. Compulsory Working Expertise: 1. Node.js 2. AWS Lambda 3. Micro-services Architecture 4. RESTful API 5. Swagger API Framework 6. Mongo DB / Dynamo DB 7. ExpressJS, Angular.js 8. SenecaJS {Bonus} 9. Agile frameworks for project planning, execution and resource management Skills & Responsibilities: 1. Plan, architect and build our AWS infrastructure for micro-services 2. Develop Node.js functions and templates to create micro-services on AWS Lambda 3. Full ownership and accountability of micro-services which include day-to-day operations and maintenance 4. Ability to work within an agile environment (SCRUM) 5. Excellent communication and interpersonal skills. Tools & Platforms: 1. AWS Lambda, S3, API Gateway, CloudFront 2. MongoDB, MySQL, Redis 3. Github, Jira, Slack

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