AEM Developer

Role overview:

• Must have About 5 - 11 years and at least 3 years relevant experience with Bigdata. 
• Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data. 
• Must have experience in Hadoop, Hive, Spark with Scala with good experience in performance tuning and debugging issues.
• Good to have any stream processing Spark/Java Kafka. 
• Must have experience in design and development of Big data projects.
• Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications. 
• Familiarity with build tools like Maven. 
• Must have experience with any RDBMS and at least one SQL database preferably PostgresSQL
• Must have experience writing unit and integration tests using scaliest
• Must have experience using any versioning control system - Git 
• Must have experience with CI / CD pipeline – Jenkins is a plus  
• Basic hands-on experience in one of the cloud provider (AWS/Azure) is a plus
• Databricks Spark certification is a plus.

What would you do here:

As a Software Development Engineer 2 you will be responsible for expanding and optimising our data and data pipeline architecture as well as optimising data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimising data systems and building them from the ground up. The Data Engineer will lead our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

•Create and maintain optimal data pipeline architecture

•Assemble large complex data sets that meet functional / non-functional business requirements.

•Identify design and implement internal process improvements: automating manual processes optimising data delivery, coordinating to re-design infrastructure for greater scalability etc.

•Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•Keep our data separated and secure

•Work with data and analytics experts to strive for greater functionality in our data systems.

- Support PROD systems

Mentor Interns

Own Production

AI/ML based development 

Full stack developer 

with react.js 

node.js 

Python with flex or Django 

RESTful service 

Database 

Docker 

CI/CD

AWS

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).
• 
  
• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
• 
  
• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
• 
  
• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
• 
  

2. AI / LLM / Agentic System Architecture

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

3. MLOps, PromptOps & DevOps Integration

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

4. Security, Compliance & Scalability

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

5. Cross-Functional Leadership

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

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.
• 
  
• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
• 
  
• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
• 
  
• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
• 
  
• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
• 
  
• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
• 
  

Preferred Skills

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

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
• 
  
• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
• 
  

Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Tech Stack / Requirements:

1. Experience required: 1 - 2 yrs atleast
2. Candidates must be from an IT Engineering background (B.E./B.Tech in Information Technology, Computer Science, or related fields), B.Sc. IT, BCA or related fields.
3. Strong understanding of JavaScript
4. Experience with React Native / Expo
5. Familiarity with SQL
6. Exposure to REST APIs integration
7. Fast learner with strong problem-solving & debugging skills

Responsibilities:

1. Build & improve mobile app features using React Native / Expo
2. Develop and maintain web features using React.js / Next.js
3. Integrate APIs and ensure seamless user experiences across platforms
4. Collaborate with backend & design teams for end-to-end development
5. Debug & optimize performance across mobile and web
6. Write clean, maintainable code and ship to production regularly

Work closely with the founding team / CTO and contribute to product launches

Growth: Performance-based growth with significant hikes possible in the same or upcoming months.

Responsibilities:

·      Search, design, develop, and test blockchain technologies.

·      Brainstorm and help evaluate applications for new tools and

technologies as they continually evolve.

·      Maintain and extend current client- and server-side applications

responsible for integration and business logic

·      Be involved in the global blockchain community—work on

implementing and integrating the latest improvement proposals.

·  Document new solutions as well as maintain that of existing ones. 

Requirements:

·      Total 3 Years of experience required,Ethereum, Blockchain

·      Knowledge in any one of the programming languages: NodeJS,

Java, GoLang,C, C++,PHP

·      Basic understanding of blockchain technology: Bitcoin, Smart

Contracts, Solidity, Cryptography

·Knowledge in private blockchains such as Hyper Ledger, Corda is

a plus

· Basic understanding of HTML, CSS, JS, Bootstrap and knowledge

in front-end technologies such as Angular/ React/ Vue is a plus.

·      Knowledge in databases and database modelling: MySQL,

PostgreSQL, MongoDB

·      Understanding of Software Development Lifecycle (SDLC)

·      Experience using Git for version control

Job description

Problem Statement-Solution

Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.

About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.

Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.

Since June 2021, Koo is available in Nigeria.

1. 
   Founding Team

Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture

The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.

Technology skill sets required for a matching profile 

• Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
• Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
• Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
• Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
• Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
• Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
• Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).

Come Dive In

The DevOps Engineer will execute the tools and processes to enable DevOps.

Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement to efficiently deliver high-quality solutions. The candidate should bridge the gap between Development and Operational teams, working with the development teams to meet acceptance criteria and gather and document the requirements. Candidates should be able to work in fast-paced,
multi-disciplinary environments.

As An DevOps Engineer, You Will

● Work in a dynamic, agile team environment developing excellent new applications.
● Participate in design decisions, including new technology research and prototyping
● Collaborate closely with other AWS engineers and architects, cloud engineers, support teams, and other stakeholders
● Promote great Kubernetes and AWS platform design and quality
● Innovate new ideas to evolve our applications and processes
● Continuously analyzing and evaluating our systems, products, and methods for potential improvements.

Mandatory Skills:

● Experience on Linux based infrastructure
● Experience in ECS - Amazon services*
● Should have hands-on containerized Services
● Must know about AWS CI/CD pipeline.
● Must know DevOps concepts and Agile principles
● Knowledge of Git, Docker, and Jenkins
● Knowledge of Infrastructure as Code.
● Experience in using Automation Tools
● Must have experience in Test Driven Development environment setup.
● Working knowledge of Docker and Kubernetes
We recognize that asking you to give 100% of yourself daily requires us to show you the love.

PERKS: what can we offer you?

● Bi-Yearly performance audits and appraisals
● The flexibility of working days/hours
● 5 working days/week (Mon to Fri) and added payout for working Saturday
● Recognition and Appreciation
● A plethora of industry exposure and self-growth opportunities

Visit our site: www.cedcoss.com

What you’ll do

Roles and Responsibilities

• Manage large amounts of incoming phone calls, Identify and assess customers needs to achieve satisfaction.
• Build sustainable relationships and trust with customer accounts through open and interactive communication.
• Provide accurate, valid, and complete information by using the right methods.
• Meet customer service team call handling quotas.
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution.
• Follow communication procedures, guidelines and policies.

Qualifying Criteria

• 6 Months to 1 Year of Past experience in customer success roles in international BPOs.
• Fluent in English.
• Strong phone handling skills.
• Ability to multitask.
• Prioritise and Manage time effectively.
• Academics - Minimum Graduate
• Age - 20 to 25 years 

About UniAcco

UniAcco is an initiative by Adventum Offshore. UniAcco is a global student accommodation platform for students actively looking to study and stay in the UK.  We are a cross-border platform and one-stop solution where students can compare, consult, and choose their accommodation from several verified properties, simply and securely. By providing concierge services to premium customers to ensure them the best hassle-free experience abroad.

Daily monitoring of Quantum's processes to ensure file transmissions to and from the system

• Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
• Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates