Test Automation Engineer

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Job Description & Responsibilities:

We are looking for a DB Developer who is highly skilled to join and be part of an extremely motivated and passionate team, who can:

Responsibilities:

1. Designing & Programming of Database for enhancing existing features to the Amukha’s applications and new initiatives taken up in the organization.
2. Second level coordination with client (mostly the technical and infrastructure team) to configure Infrastructure required for deploying the Amukha’s Application at client end.
3. Deploying & Configuring the Database components of the Amukha’s Application at client end for:

• Customized Features required by each client as per Contract.

• Maintaining system, server and application security in compliance with the policies at client end.

• Monitoring the overall health of the various processes involved in the deployment to ensure that the systems are up and running.

4. Monitoring and optimizing the performance at Amukha and components deployed at client.

5. Provides in-house expertise and technical support to end-users on database and software-related issues.

6. Support the company's Application, Database and Infrastructure Architecture.

7.Planning & implementing for backup and recovery of database.

8.Manages the implementation of database consolidations.

9.Backing up and restoring databases.

10.Ensuring availability of system storage and planning future storage requirements for the database system. Planning, setting up & deploying HA Solutions.

We are solving complex technical problems in the financial industry and need talentedsoftware engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular. You will collaborate with cross-functional teams to define, design, and ship newfeatures, and you will work closely with Architects to ensure the technical feasibilityof designs and implement them accordingly

HSV Digital is a global, full-service, and 100% B2B technology-focused marketing firm. Because we are so immersed and invested in all things B2B tech, we are experts at understanding complex value propositions, systems, stakeholders, and challenges.

We pride ourselves in working with the largest and fastest growing technology companies, helping them build brand awareness, grow revenue, and maximize the value of their channel ecosystem. Some of our clients include Microsoft, Deloitte, Databricks, IBM, Cognizant, HCL, Diversified, EY, and many more!

As a Visual Designer, your job will be to create high-end graphics for a range of clients in enterprise technology.

Key responsibilities:

• Create aesthetic visual assets for our clients including corporate branding, animations, infographics, posters, banners, presentations, emailers and other requested design elements.
• Understanding client requirements and translating the same into collaterals with high level of creativity
• Maintaining brand aesthetic and standards across all channels to ensure consistency with client’s brand guide
• Working on multiple projects at a time with varying deadlines.

Requirements:

• Proven experience as a visual designer for SaaS or enterprise technology companies.

You will:

• Build services that serve millions of users
• Build for performance, reliability, and scalability
• Design easy-to-use APIs, systems, and tools
• Work with small teams of engineers, product, design, operation and other teams
• Lead projects, achieve goals, celebrate success with your teams

What you bring:

• 5+ years as individual contributor
• Strong background in Computer Science
• Strong technical expertise in robust and scalable server platform
• Helpful experiences include Java, Python, AWS, GCP, DevOps
• Leadership at bijnis is a service - you must be influential, patient, compassionate, able to prioritize, and able to inspire
• Ability to collaborate across multiple and cross functional teams
• Strategic mindset combined with pragmatic execution, and bias for action

Job Title: Senior Software Engineer - Mulesoft / Informatica

Job Description:

• Senior integration developer who is having experience in any two of the integrations tools, Dell Boomi, MuleSoft, Informatica.
• Understand, gather and document requirements
• Analyze and design the solution, if needed help PM/Architect to decide the architecture
• Develop the solution and guide the team to develop the solution
• Follow coding guidelines
• Test the developed solution
• Follow the organizational / project processes
• Provide necessary support with right attitude to the project manager and the project team

Job Responsibilities:

• Gather requirements, analyze, document the design approach, develop and produce quality output
• Follow the project processes
• Mentor junior resources
• Impart training where necessary
• Be open to learn other integration tools

Primary Skills Required: Dell Boomi, Mulesoft, Informatica

Secondary Skills Required: Java, Salesforce

Technical Skills Required:

Experience in any one of the Integration tool, Dell Boomi, Mulesoft and Informatica.
Required at least one Certification on any Integration Tool

Experience: 5 years to 10 years