INFOPARK

Legal Counsel - 6+ Years

Experience - 6+ 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.

Linux Developer - 5+ Years

Experience - 5+ Years

Notice Period - Immediate to 30 Days

Skills
5+ years of relevant software development experience
The Application-Level Developer will be responsible for designing, developing, and maintaining Linux-based applications, working closely with the Team Leader and contributing to end-to-end solution development.
Strong hands-on experience in Linux-based application development
Proficiency in C / C++ / Java
Solid understanding of communication protocols, security concepts, IoT, and GSM technologies
Experience in system integration and troubleshooting

Datacom Developers - 4+ Years

Experience - 4+ Years

Notice Period - Immediate to 30 Days

Skills
DPDK, Kubernetes & containerized or CNF skillsets are mandatory
Experience in C++ and/or Python and detailed knowledge of object-oriented design and programming.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Expertise in networking protocol stacks and overlay technologies - TCP/IP protocol suite including Ethernet TCP/IP, UDP, ICMP, IGMP, VLAN, IPSec, and Multicast.
Experience in Performance Enhancing Proxies (PEP), including TCP spoofing for high latency links and compression.
Strong knowledge of IP Networking, L2/L3 switching/routing, and related technologies with implementation experience on a satellite network desirable.
Understanding of Linux implementation of the kernel namespace concept.
Understanding of IP Fast Path approaches (e.g. OFP, DPDK, ODP);
Experience with deploying containerized IP networking applications at scale using Kubernetes over AWS, Azure and/or other cloud-based solution is desired.
OpenShift experience highly desirable.
Helm, Terraform knowledge desirable.
Experience with SDN controllers
Proven experience with multithreading, optimization, memory management, interrupt handling, etc. in multi-core/multi-CPU and embedded environments.
Preferred experience with Virtualization networking technologies like OVS, NSX.
Automating tests, tasks and data analysis using Python.
Experience with Software Configuration Management Tools (Bitbucket, Gitlab).
Familiarity with Agile/SAFe development principles.

iOS and Flutter Developer - 4+ Years

We are seeking a talented and passionate iOS and Flutter Developer to join our development team. In this role, you will be responsible for designing,
developing, and maintaining cross-platform applications using Flutter for mobile (iOS and Android), web, and desktop (Windows/macOS/Linux) platforms.
You will work closely with product managers, designers, and other engineers to deliver exceptional user experiences that run seamlessly across devices.

Key Responsibilities
Develop and maintain high-performance, reusable, and reliable Flutter and iOS code for cross-platform and iOS specific applications.
Build adaptive and responsive UIs for various platforms (mobile, web, desktop).
Integrate RESTful APIs and third-party services into applications.
Ensure the best possible performance, quality, and responsiveness of the applications.
Collaborate with UI/UX designers and backend developers to define and deliver new features.
Write unit, widget, and integration tests to ensure code quality.
Participate in code reviews, sprint planning, and other Agile processes.
Plug-ins and video processing using Android and iOS

Qualifications
Must-Have:
4+ years of experience in software development, with at least 2 years using Flutter/Dart and 2 years in using iOS specific platforms like SWIFT
Strong portfolio of Flutter and iOS apps published on the App Store, Google Play, web or desktop.
Proficiency in building responsive and adaptive UI across devices and screen sizes.
Hands-on experience in integrating backend services and APIs.
Experience working with cross-platform state management libraries (e.g., Provider, Riverpod, Bloc).
Strong knowledge of mobile architectures and app lifecycle.
Familiarity with native iOS development using any iOS platforms like SWIFT and platform channel integration.
Familiarity with Git and version control practices.
Ability to write clean, maintainable, and well-documented code.

Nice to Have (Preferred):
Experience with Kotlin Multiplatform (KMM).
Familiarity with native Android development.

.NET Enterprise Solution Architect - 10+years

We are seeking a visionary and accomplished Enterprise Solution Architect with extensive experience designing, deploying, and governing large-scale enterprise applications. The ideal candidate possesses deep expertise in modern application architecture, cloud-native deployments, distributed systems, and enterprise integration, with a specialized focus on emerging AI-driven architectures.

In this pivotal role, you will define enterprise architecture standards, lead cloud transformation initiatives, and drive the adoption of modern technology stacks (including .NET 8+, PostgreSQL, React, and Microservices). You will play a critical role in integrating cutting-edge capabilities into business-critical applications by designing and orchestrating Agentic AI frameworks.

Core Responsibilities
Enterprise Architecture & Solution Design

Architect, design, and oversee the end-to-end implementation of mission-critical enterprise applications across application, data, integration, infrastructure, security, and AI domains.

Define and enforce enterprise architecture standards, governance frameworks, and technical best practices.

Lead architecture reviews, technical design workshops, and technology evaluations to ensure alignment with business and digital transformation objectives.

Cloud Architecture & Modernization

Design and implement highly available, fault-tolerant, and secure cloud-native and hybrid-cloud solutions across AWS and Azure.

Drive cloud migration and modernization strategies for legacy enterprise applications.

Optimize cloud infrastructure for performance, reliability, operational efficiency, and cost management.

Application & Microservices Architecture

Design enterprise-scale Microservices architectures utilizing Domain-Driven Design (DDD), API-first, and event-driven patterns.

Establish rigorous standards for scalability, resiliency, observability, and maintainability.

Champion the adoption of containerization, orchestration, DevOps, and CI/CD best practices.

Data Migration & Integration Architecture

Architect robust, enterprise-grade database solutions with a strong focus on distributed PostgreSQL (replication, clustering, partitioning, and high availability).

Lead large-scale data migration and legacy modernization programs.

Design integration architectures connecting internal systems, external partners, SaaS platforms, and third-party applications using API gateways, event streaming, and middleware.

Agentic AI Architecture & Orchestration

Design and implement scalable Agentic AI solutions to automate complex business workflows and enhance operational efficiency.

Architect AI orchestration layers to seamlessly coordinate multiple AI agents, Large Language Models (LLMs), business workflows, and external systems.

Define integration strategies for Retrieval-Augmented Generation (RAG), vector databases, semantic search, and enterprise knowledge bases.

Establish AI governance, observability, security, and compliance frameworks.

Technical Leadership

Provide architectural leadership, mentorship, and guidance to engineering teams.

Partner with business stakeholders, product owners, and project managers to translate complex business requirements into scalable technical roadmaps.

Lead proof-of-concepts (PoCs), strategic architecture initiatives, and solution estimations.

Required Qualifications & Technical Expertise
Experience & Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related discipline.

12+ years of progressive experience in software engineering, solution architecture, or enterprise architecture.

Proven track record of architecting and deploying large-scale enterprise applications across multiple business domains.

Core Technology Stack

Languages & Frameworks: Expert-level proficiency in Microsoft .NET (.NET Core / .NET 8+), C#, and React.

Databases: Extensive experience with PostgreSQL architecture, distributed databases, data modeling, and performance tuning.

Cloud & Infrastructure

Platforms: Deep, hands-on expertise in AWS and Microsoft Azure.

Cloud-Native: Docker, Kubernetes, Serverless computing.

Infrastructure as Code (IaC): Terraform, Bicep, or CloudFormation.

Microservices & Integration

Deep expertise in microservices design, event-driven architecture, and RESTful APIs.

Experience with service orchestration, message brokers, API management, and scalable resiliency patterns.

Agentic AI & Machine Learning

Hands-on experience implementing AI orchestration layers and Multi-agent systems.

Strong understanding of RAG, Vector databases, Semantic search, and Prompt engineering.

Experience with frameworks/platforms such as: Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, Azure OpenAI, and AWS AI/ML Services.

DevOps & Security

Proficiency in CI/CD pipelines, infrastructure automation, Git-based workflows, and application observability.

Strong foundation in security architecture, IAM, and best practices for secure application development.

Preferred Qualifications
Certifications: AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or TOGAF (or equivalent Enterprise Architecture certification).

Experience leading enterprise digital transformation programs.

Proven background implementing AI governance frameworks in regulated environments.

Prior experience in highly scalable SaaS or enterprise platform development.

Success Criteria
In your first year, you will successfully:

Design and deliver highly scalable, secure, and resilient enterprise solutions.

Lead impactful cloud transformation initiatives across AWS and Azure environments.

Drive the engineering organization's adoption of microservices and distributed system architectures.

Architect robust PostgreSQL-based data platforms and complex integration ecosystems.

Implement cutting-edge Agentic AI solutions and orchestration layers that measurably enhance business productivity and operational efficiency.

Manual Testing with experience in Mobile Application Testing - 4+ Years

QA Engineer (Manual Testing)

Required Skills & Experience:

Strong hands-on experience in Manual Testing.
Proven experience in Web Application Testing.
Mandatory: Extensive experience in Mobile Application Testing.
Must have tested Android, iOS, and Hybrid mobile applications.
Good understanding of the complete Software Testing Life Cycle (STLC) and defect management process.
Experience in creating and executing test cases, test scenarios, and reporting defects.
Exposure to Automation Testing tools and frameworks is required (hands-on experience is preferred).
Strong analytical, problem-solving, and communication skills.

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