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Role: Core infrastructure for two global applications.
Key responsibilities:
Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.
Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.
Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.
Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.
Requirements (Must Have)
Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)
Note: Learning projects, bootcamps, and online courses will not be considered.
Python Mastery: Expert-level proficiency in backend Python development. (Must have)
MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)
AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)
Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)
We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and
a deep interest in scalable, low-latency systems.
Key Responsibilities
• Develop, maintain, and optimize backend applications using Python.
• Build and integrate RESTful APIs and microservices.
• Work with relational and NoSQL databases for data storage, retrieval, and optimization.
• Write clean, efficient, and reusable code while following best practices.
• Collaborate with cross-functional teams (frontend, QA, DevOps) to deliver high quality features.
• Participate in code reviews to maintain high coding standards.
• Troubleshoot, debug, and upgrade existing applications.
• Ensure application security, performance, and scalability.
Required Skills & Qualifications:
• 2–4 years of hands-on experience in Python development.
• Strong command over Python frameworks such as Django, Flask, or FastAPI.
• Solid understanding of Object-Oriented Programming (OOP) principles.
• Experience working with databases such as PostgreSQL, MySQL, or MongoDB.
• Proficiency in writing and consuming REST APIs.
• Familiarity with Git and version control workflows.
• Experience with unit testing and frameworks like PyTest or Unittest.
• Knowledge of containerization (Docker) is a plus.
Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
- Ensure production-ready disaster recovery and business continuity testing
If interested Kindly share your updated resume at 82008 31681
Role: DevOps Engineer
Exp: 4 - 7 Years
CTC: up to 28 LPA
Key Responsibilities
• Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)
• Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)
• Develop and maintain CI/CD pipelines for multiple services and environments
• Manage infrastructure as code using tools like Terraform and/or Pulumi
• Automate operations with Python and shell scripting for deployment, monitoring, and maintenance
• Ensure high availability and performance of production systems and troubleshoot incidents effectively
• Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.
• Collaborate with development, security, and product teams to align infrastructure with business needs
• Apply best practices in cloud networking, Linux administration, and configuration management
• Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)
• Participate in on-call rotations and incident response activities
If Interested kindly share your updated resume on 82008 31681
- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
THE POSITION:
- 3+ years of relevant experience in designing & implementing scalable, resilient backend microservices
- Expert at any backend programming language (Python/GoLang preferrable) and has exposure to API design and scalable architecture
- Hands-on experience on a couple of RDBMS/NoSQL/In-memory DBs
- Great database modelling skills
- Ability to choose the right algorithm, data-structure, and design pattern for the given problem statement
- Knowledge of any cloud based platform like AWS or GCP and scaling on the go
- Understanding of various application security principles and experience with building applications secure by design
QUALIFICATION:
- We don't care about which college you are from, if you have the power to convert coffee into code, we got you.
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- You will design Scalable and Fault-Tolerant systems
- You will help Maintain critical and auxiliary systems (databases, cache ...)
- You will build Experiments that help validate hypotheses for the product
Experience:
2+yrs In your first 3 months, you will…
- Successfully onboard and create strong bonds with the current team
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- Contribute to existing product features and experimentation
In your first 6 months, you will…
- Develop prototypes of new features or products using rapid iteration and experimentation as we explore new ideas
- Partner across the engineering team to ship features
In your first year, you will...
- Champion best-in-class engineering practices and systems for an emerging engineer team
- Help build a suite of features for the product
Our Ideal Hire:
- Learned best practices and has experienced the challenges and joys working at a startup
- Managed and maintained production code at increasing scales
- Feels strongly motivated by our mission
- Communicates complex problems and proposes solutions, in writing and in conversation
Expertise:
- Proficiency in any one language (ex: NodeJS / Go / Python)
- MySQL (design / indices / optimizing queries)
- Redis (types/ functionality/ use cases)
Hands-on experience:
- Handled scaling issue
- Good at debugging
Good to have:
- Kafka (or other stream-processing software)
- AWS
Do not apply if you are not:
- Ownership driven
- Curious in general
- Able to explain things in simple terms
- Self-motivated
- Use to work in the chaotic environment
- Highly proactive
- Willing to Mentor and humble to ask for collaboration
- Most important, Learn & Grow yourself!
- Hungry to grow anymore
- 3-5 Years of experience in Backend Development.
- Must have experience in Python (FLASK framework).
- Have Deep understanding of how RESTful APIs work.
- Familiar with various design and architectural patterns that can work at scale.
- Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
- Strong experience with at-Cloud technology, preferably AWS or GCP or Azure.
- Core experience in developing complex backend systems.
- Communicating complex technical concepts to both technical and non-technical audiences.
- Passionate about application scalability, availability, reliability, and security.










