INFOPARK

Devops Engineer - 4+ Years

Experience - 4+ Years

Notice Period - Immediate to 15 Days

Qualification - BTech/BE/Masters is mandatory

Key Responsibilities
Design, implement, and maintain CI/CD pipelines using GitHub Actions and GitLab CI/CD (mandatory), along with Jenkins, AWS CodeBuild, and AWS CodePipeline.
Architect and manage cloud infrastructure on Amazon Web Services including services like ECS, EKS, EC2, S3, CloudFront, Lambda, and RDS.
Build and manage containerized applications using Docker and orchestrate workloads using Kubernetes (EKS/ECS).
Implement and manage Infrastructure as Code (IaC) using Terraform.
Automate configuration and deployment processes using Ansible (good to have).
Set up and manage monitoring, logging, and alerting using Amazon CloudWatch (mandatory), along with Prometheus and Grafana.
Ensure high availability, scalability, and security of cloud infrastructure.
Troubleshoot production issues, optimize system performance, and ensure minimal downtime.
Collaborate with development and QA teams for smooth release cycles and environment management.

Must-Have Skills
Strong experience with Amazon Web Services (ECS, EKS, EC2, S3, CloudFront, Lambda, RDS)
Hands-on expertise in GitHub Actions (mandatory) and CI/CD pipelines
Experience with Docker and Kubernetes (EKS/ECS)
Strong knowledge of Terraform
Experience with monitoring using Amazon CloudWatch
Good understanding of networking, security groups, load balancers, and CDN (CloudFront)
Scripting knowledge (Bash / Python) for automation

Good-to-Have Skills
Experience with Ansible
Exposure to Prometheus and Grafana
Knowledge of AWS-native CI/CD tools like AWS CodePipeline
Experience in production support and incident handling

Soft Skills
Strong problem-solving and troubleshooting skills
Good communication and collaboration abilities
Ability to work in a fast-paced DevOps environment

UI/UX Designer - 4+ Years

Experience - 4+ Years

Notice Period - Immediate to 15 Days

Qualification - BTech/BE/Masters is mandatory

Job Description

Key Requirements
Personal portfolio demonstrating visual design excellence, product sensibility, frictionless user experiences, and detailed interactions. (Portfolio link required.)
· 4 years of UX/UI design experience (SaaS experience preferred).
· Proven experience in user research for AI and automation tools.
· Expertise in developing detailed workflows and wireframes for complex user journeys.
· Ability to simplify complex tasks into intuitive user experiences.
· Strong advocate for usability and customer-centric design.
· Experienced collaborating closely with development teams.
· Familiarity with design systems and data visualization.
· Excellent interpersonal and communication skills.
· Self-driven and proactive learner.

Tools:
· Figma (Expert/Master Level), prototyping, wire-framing, and design, Master in AI tools to generate MVP's

Legal Counsel - 6+ Years

Experience - 4+ Years

Notice Period - Immediate to 15 Days

Qualification - LLB/LLM

Key Responsibilities:
*Draft, review, and negotiate a wide range of legal contracts and agreements, including NDAs, MoUs, service agreements, and vendor contracts.
*Legal advice on IP matters, ensuring the protection of company assets, trademarks, patents, and copyrights.
*Ensure compliance with applicable international laws, regulations, and industry standards.
*Support business operations by advising on legal risks and mitigation strategies.
*Collaborate with internal stakeholders, including HR, Finance, and Business Development teams, to address legal issues effectively.
*Manage disputes and coordinate with external legal counsel when required.
*Stay updated on emerging legal trends and their implications for the IT industry.

Qualifications and Skills:
*Education: Bachelor's degree in Law (LLB) or equivalent; Master's degree in Law (LLM) is a plus.
*Experience: Minimum of 6+ years of experience in drafting and negotiating contracts/agreements, preferably in the IT sector.
*Strong understanding of IT business practices and legal issues, especially related to software, Telecom, and IP.
*Comprehensive knowledge of international laws and regulations, including GDPR, export control laws, and cross-border trade compliance.
*Exceptional communication and interpersonal skills to interact effectively with global stakeholders.
*Analytical mindset with a detail-oriented approach to identifying risks and ensuring accuracy in legal documentation.

AI Solution Architect - 12+ Years

Job Title: AI Solution Architect

Experience
12+ years in software engineering, solution architecture, or related roles, with at least 3–5 years of hands-on experience in AI/ML and GenAI-driven solutions.

Role Overview
We are seeking a highly experienced AI Solution Architect to design, lead, and implement scalable, enterprise-grade AI solutions. The ideal candidate will have strong expertise in Generative AI, AI-assisted development (vibe coding), automation frameworks, and the ability to translate business problems into impactful AI-driven architectures.
This role requires a blend of technical depth, architectural thinking, and business acumen, with hands-on involvement in building AI-powered systems.

Key Responsibilities:

* Solution Architecture & Design
Design end-to-end AI/ML and Generative AI architectures for enterprise use cases.
Define scalable, secure, and high-performance AI solution blueprints.
Architect solutions leveraging LLMs, multi-agent systems, RAG pipelines, and vector databases.
Integrate AI solutions with enterprise systems (ERP, CRM, data platforms, APIs).

* AI & GenAI Implementation
Lead development of AI-powered applications using:
LLM frameworks (LangChain, LlamaIndex, etc.)
OpenAI / open-source models (LLaMA, Mistral, etc.)
Build and optimize:
Prompt engineering strategies
Retrieval-Augmented Generation (RAG)
Fine-tuning and model customization
Ensure responsible AI practices (bias mitigation, explainability, governance).

* AI-Assisted Development (Vibe Coding) & Automation
Leverage tools like GitHub Copilot, Cursor, Windsurf, Gemini, ChatGPT, etc. to accelerate development.
Drive AI-led coding practices, rapid prototyping, and developer productivity.
Design intelligent automation solutions using:
RPA (UiPath, Automation Anywhere)
Workflow orchestration tools
AI agents for process automation

* Technology Leadership
Evaluate and recommend emerging AI tools, frameworks, and platforms.
Provide technical leadership and mentorship to engineering teams.
Define best practices, coding standards, and reusable frameworks.

* Stakeholder Engagement
Work closely with BD team/Sales team/ business leaders to identify AI opportunities.
Translate business requirements into technical AI solutions.
Present architecture, PoCs, and solutions to senior stakeholders and customers

* Governance & Scalability
Ensure compliance with enterprise security, privacy, and regulatory requirements.
Design monitoring, observability, and performance optimization strategies for AI systems.

Required Skills & Competencies

Technical Skills
Strong programming expertise in Python (mandatory), and familiarity with Java/Node.js is a plus.
Deep understanding of:
Machine Learning & Deep Learning concepts
Generative AI, Large Language Models (LLMs) , SLMs.
Experience with:
RAG pipelines, embeddings, vector databases (Pinecone, FAISS, Weaviate)
Cloud platforms: AWS / Azure / GCP (AI services, MLOps)
API design, microservices architecture, and distributed systems
Hands-on with:
LangChain / LlamaIndex / Semantic Kernel
Model deployment and MLOps pipelines
Familiarity with:
Data engineering pipelines and big data ecosystems

AI Tools & Ecosystem
Expertise in modern AI tools including:
AI coding assistants (Copilot, cursor, windsurf, ChatGPT, etc.)
Automation platforms (RPA + AI integration)
Prompt engineering and evaluation tools
Strong awareness of rapidly evolving AI landscape

Soft Skills
Excellent problem-solving and analytical thinking
Strong communication and presentation skills
Ability to work with cross-functional and global teams
Strategic thinking with execution focus

Preferred Qualifications
Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
Certifications in cloud (AWS/Azure/GCP) or AI/ML domains
Experience in enterprise domains like Telecom, BFSI, Healthcare, or Retail
Exposure to AI governance frameworks and ethical AI practices