Technical Writer (Consultant)

Job Title : Senior Software Engineer (Python, Golang, Node.js, Elixir, SQL)

Experience : 5+ Years

Location : Mumbai (Work From Office)

Employment Type : Full Time Opportunity

Job Summary :

We are looking for a Senior Software Engineer with strong backend development experience to build scalable, cloud-native applications and distributed systems.

The ideal candidate should have experience in product-based environments, designing microservices, REST APIs, and customer-facing production applications while collaborating with cross-functional teams.

Mandatory Skills :

Backend Development, Python, Golang, Node.js, Elixir, SQL, Cloud-Native Architecture, REST APIs, Microservices, Distributed Systems, Cloud Platforms, Relational & NoSQL Databases, Platform Engineering, CI/CD, Production Support, System Design

Key Responsibilities :

• Design and develop scalable backend services, REST APIs, and microservices.
• Build and enhance cloud-native, high-performance applications.
• Participate in architecture and system design discussions.
• Collaborate with Product, DevOps, Security, and Data Engineering teams.
• Troubleshoot production issues and optimize application performance.
• Mentor team members and contribute to engineering best practices.

Required Skills :

• 5+ years of software development experience in product-based organizations.
• Strong backend development using Python, Golang, Node.js, Elixir, or similar technologies.
• Experience with REST APIs, Microservices, SQL, and Distributed Systems.
• Strong understanding of cloud platforms and cloud-native architecture.
• Hands-on experience with relational and NoSQL databases.
• Familiarity with CI/CD, monitoring, and DevOps practices.

Preferred Skills :

• Experience building highly scalable distributed systems.
• Strong debugging, troubleshooting, and performance optimization skills.
• Familiarity with DevOps practices, CI/CD pipelines, monitoring, logging, and observability tools.
• Excellent communication, collaboration, and problem-solving abilities.
• Experience mentoring engineers and leading technical initiatives.

Job Title: Backend Developer (Full Time)

Location: Remote

Interview: Virtual Interview

Experience Required: 3+ Years

Backend / API Development (About the Role)

• Strong proficiency in Python (FastAPI) or Node.js (Express) (Python preferred).
• Proven experience in designing, developing, and integrating APIs for production-grade applications.
• Hands-on experience deploying to serverless platforms such as Cloudflare Workers, Firebase Functions, or Google Cloud Functions.
• Solid understanding of Google Cloud backend services (Cloud Run, Cloud Functions, Secret Manager, IAM roles).
• Expertise in API key and secrets management, ensuring compliance with security best practices.
• Skilled in secure API development, including HTTPS, authentication/authorization, input validation, and rate limiting.
• Track record of delivering scalable, high-quality backend systems through impactful projects in production environments.

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

🚀 Hiring: Java Developer at Deqode

⭐ Experience: 4+ Years

📍 Location: Indore, Pune, Mumbai, Nagpur, Noida, Kolkata, Bangalore,Chennai

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Requirements

✅ Strong proficiency in Java (Java 8/11/17)

✅ Experience with Spring / Spring Boot

✅ Knowledge of REST APIs, Microservices architecture

✅ Familiarity with SQL/NoSQL databases

✅ Understanding of Git, CI/CD pipelines

✅ Problem-solving skills and attention to detail

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

Short runs at Bourdaina are 3 month fast track programs with clearly defined processes & objectives. Atleast one short run is mandatory before joining us for long haul.

Here's what you'll do day-to-day:

• Actively seeking out new sales opportunities through networking and social media.
• A sales intensive role where you help restaurants, F&B brand, Hotels and FMCG brands by selling Bourdaina products
• Demonstrating and presenting products and services.
• Account management for key clients of the organisation.
• Manage end-to-end client relationships including pitching, negotiation, contracting, billing/invoicing, and payment collection, result tracking and troubleshooting.

Here's what we're looking for:

• People with 0 - 3 years of work experience. Relevant experience in B2B sales will be great!
• Someone who comes with a strong sense of initiative and personal leadership demonstrating the ability to function independently, and comfortable working in a startup environment.
• A person who is articulate, organized, detail-oriented, and has the ability to multitask.