INFOPARK

Python Django Developer (2+ Years)

We are looking for a dynamic Python Django Developer to join our team.

Requirements:

Experience with Django, Python, MySQL, RDS, Docker, and AWS are all desirable. Experience developing REST APIs specifically for native mobile applications is also desirable.

Responsibilities:

Should be familiar with the scrum methodology of the software development process.
Understand the product requirements and convert them to design and deliverable units as part of sprints.

Key Skills required:

Software development experience as an individual contributor.
Strong development experience in Python Django frameworks.
Strong problem-solving and creative skills
Excellent team player, with emphasis on priorities and goal setting
Superior presentation and communication skills, both written and verbal
Sharp Technical skills. Adaptive to new technologies and frameworks.

Location: Kochi (Remote/ WFH)
Experience: 2+ Years
Joining Date: Immediate or Max 30 days Notice Period

Angular Developer (2+ Years)

Beinex is looking to hire an experienced Angular Developer to join our dynamic team.

Responsibilities

Designing and developing user interfaces using Angular best practices.
Adapting interface for modern internet applications using the latest front-end technologies.
Writing JavaScript, CSS, and HTML.
Developing product analysis tasks.
Making complex technical and design decisions for Angular projects
Developing application codes and unit tests in Angular, Java Technologies, and Rest Web Services.
Conducting performance tests.
Consulting with the design team
Ensuring high performance of applications and providing support.

Key Skills Requirements

Bachelor’s Degree in Computer Science, Computer Engineering or similar
Previous work experience as an Angular Developer
Proficient in CSS, HTML, and writing cross-browser compatible code.
Experience using JavaScript building tools like Gulp or Grunt.
Knowledge of JavaScript MV-VM/MVC frameworks including Angular
Excellent project management skills.
Proven experience implementing front-end and back-end JavaScript applications.
Excellent communication skills.
Critical thinker and good problem-solver

Location - Kochi (Remote/ WFH)
Experience - 2+ years
Notice Period - Immediate or Max 30 Days

QA Engineer (0 to 2 Years)

We are looking for a Quality Assurance (QA) Engineer to join our global team.

Responsibilities

Knowing Automation Testing frameworks is an added advantage
Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
Create detailed, comprehensive and well-structured test plans and test cases.
Estimate, prioritize, plan and coordinate testing activities.
Design, develop and execute automation scripts using open-source tools.
Identify, record, document thoroughly and track bugs.
Perform thorough regression testing when bugs are resolved.
Develop and apply testing processes for new and existing products to meet client needs.
Liaise with internal teams (e.g. developers and product managers) to identify system requirements.
Monitor debugging process results.
Investigate the causes of non-conforming software and train users to implement solutions.
Track quality assurance metrics, like defect densities and open defect counts.
Stay up-to-date with new testing tools a

Cloud DevOps Engineer

We are seeking an experienced Cloud DevOps Engineer with strong expertise in designing, building, and operating secure, large-scale, multi-tenant cloud platforms. The ideal candidate will have deep hands-on experience with Infrastructure-as-Code (IaC), cloud networking, data platform components, automation, and operational support for high-availability environments.


Responsibilities

Build and configure cloud environments using IaC tools (Terraform, Bicep, ARM, or similar).
Implement multi-tenant infrastructure with complete isolation across compute, storage, identity, and networking layers.
Deploy core platform components such as:
Cloud storage and database services
Data processing and analytics services
Workload orchestration, compute clusters, and metadata/catalog tools
Design and configure cloud networking, including VNets, private endpoints, firewalls, routing, and secure API access.
Implement HA/DR configurations, backup policies, and monitoring foundations.
Develop reusable IaC modules and provisioning templates for onboarding new environments or tenants.
Build CI/CD workflows for infrastructure deployment and configuration changes.
Automate operational tasks such as environment creation, access setup, and network configuration.
Monitor cloud resources, compute performance, network connectivity, and storage systems.
Troubleshoot infrastructure issues across compute, identity, storage, and networking.
Apply patches, upgrades, and configuration changes in line with best practices.
Optimize cloud performance and cost across compute, storage, and networking workloads.
Support onboarding of new teams or business units by provisioning secure and isolated environments.
Maintain detailed documentation for infrastructure, IaC modules, network diagrams, and operational procedures.
Train internal teams on cloud administration, IaC usage, monitoring tools, and day-to-day cloud operations.

Key Skills Requirements

5+ years of experience as a Cloud Engineer or similar role.
Strong, hands-on experience with Azure or another primary cloud provider.
Advanced proficiency in IaC tools (ARM, Terraform preferred).
Strong understanding of multi-tenant architecture, resource isolation, and cloud governance.
Hands-on experience with cloud networking (firewalls, routing, VPN, private endpoints).
Familiarity with data platform components such as analytics engines, metadata catalogs, and orchestration services.
Experience with CI/CD, Git, and automation pipelines.
Excellent troubleshooting and performance optimization skills.
Preferred Certifications

Azure Administrator / Azure Solutions Architect
Terraform Associate
Cloud Security or Networking certifications

Security Architect

We are hiring an experienced Security Architect with deep expertise in cloud security, identity management, data protection, and compliance frameworks. The role focuses on designing and implementing security architectures for multi-tenant cloud platforms, ensuring isolation, privacy, encryption, and operational security aligned with best practices.


Responsibilities

Define end-to-end cloud security architectures with emphasis on multi-tenant isolation, secure data flows, and identity governance.
Design IAM models including RBAC, MFA, privilege separation, and zero-trust principles.
Architect encryption strategies for data at rest and in transit, key management, secret rotation, and certificate handling.
Embed privacy-by-design and compliance-by-design into platform and component architectures.
Design and validate access patterns, audit logging strategies, and monitoring frameworks.
Develop governance models covering change management, incident response, data classification, and retention.
Configure identity, access controls, network security rules, encryption, certificates, and monitoring agents.
Perform hardening of cloud resources, compute clusters, storage, and data services according to industry standards.
Integrate security tools for data discovery, classification, access governance, encryption policy enforcement, and auditability.
Support vulnerability assessments, penetration tests, and risk remediation.
Establish dashboards and alerts for security monitoring using SIEM tools.
Lead threat analysis, incident response, forensic investigations, and root cause analysis.
Conduct regular access reviews, configuration audits, and isolation checks.
Oversee security patching, baseline updates, identity audits, and configuration compliance.
Ensure operational security coverage across all tenants/environments.
Produce security SOPs, runbooks, incident response plans, and governance workflows.
Deliver security training for engineering, operations, and administrative teams.
Ensure full documentation and knowledge transfer for ongoing operational security activities.

Key Skills Requirements

7+ years of experience in cybersecurity, cloud security architecture, or related domains.
Deep expertise with cloud IAM, RBAC, authentication flows, and identity governance.
Strong knowledge of cloud networking security (firewalls, segmentation, VPN, private networking).
Hands-on experience with data security tools (classification, cataloging, access governance, encryption management).
Expertise in encryption, key management, audit logging, and SIEM/SOAR.
Understanding of multi-tenant security challenges and proven ability to design secure isolation patterns.
Strong understanding of compliance, data protection, and privacy principles.

Preferred Certifications

CISSP, CCSP, CISM
Azure Security Engineer / Cloud Security certifications
ISO 27001 or other governance framework certifications

Solution Architect - Data & AI

Greetings,

We are hiring for the below:

Position: Solution Architect (Data & AI)
Experience: 8+ Yrs
Work Model: Work from Home in India and if needed should be willing to travel onsite in Abu Dhabi
Notice Period: Immediate to 30 days
Mode: Permanent

Job Description

We are looking for an experienced, hands-on Solution Architect (Data and AI) to lead the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients across industries. The role combines technical leadership,strategic consulting, and solution design, ensuring our clients derive measurable business value from their data investments. You will act as a trusted advisor to clients, guide technical teams, and architect best-in-class solutions that leverage the latest in cloud, data, and AI innovation.

Responsibilities:

Solution Design & Architecture
Design end-to-end data and AI architectures across ingestion, transformation, storage, analytics, and ML layers.
Build scalable, cloud-native ecosystems using Azure, Snowflake, and open-source frameworks (Spark, Airflow, Kafka).
Define architecture blueprints, data models, and governance-aligned integration patterns.
Develop AI/ML platforms with MLOps, monitoring, and responsible AI principles.

Technical Leadership
Lead architecture discussions, design reviews, and guide data/ML teams through delivery.
Drive modern data engineering practices (CI/CD, IaC, DevOps).
Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting & Engagement
Translate business needs into scalable data-driven solutions.
Support pre-sales, RFPs, and executive-level presentations.
Advise on data strategy, architecture roadmaps, and AI adoption frameworks.

Delivery & Governance
Ensure architectural integrity, scalability, and compliance with data privacy standards.
Define best practices, reusable assets, and mentoring frameworks for internal teams.

Key Skills Requirements
Proficient in end-to-end AI architecture (data prep to deployment) with MLOps, Spark, Kafka, Airflow, Hadoop, dbt, and Delta Lake.
Expertise in LLMs, GenAI models, and AI agents using Azure OpenAI, LangChain, and Semantic Kernel.
Experience with RAG pipelines, vector databases, and governance frameworks.
Hands-on expertise in Azure Synapse, Data Factory, Databricks, Purview, and Machine Learning.
Experience with Azure OpenAI, Cognitive Services, and Microsoft Fabric.
Efficiency in data lakehouse design, Snowpark, Streamlit, optimization for large-scale analytics, automation using dbt, Airflow, and Terraform.
Strong programming skills in Python, SQL, and Scala, and experience with API/microservice-based data integration.
Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
Proven client-facing and advisory consulting experience with strong analytical, communication, and stakeholder management skills.
Bachelor’s/Master’s in Computer Science, Data Engineering, or other related fields.
Minimum 8 years of total experience, with at least 2 years in Data/AI solution architecture roles.
Preferred certifications: Azure Solutions Architect Expert, Data Engineer Associate, SnowPro Core, Advanced Architect, and TOGAF (optional).

If interested pls share your updated resume to abirami.s@beinex.com for further process

Data Governance Lead

Greetings,

We are hiring for the below:

Position: Data Governance Lead
Experience: 7+ Yrs
Work Model: Work from Home in India and if needed should be willing to travel onsite in Abu Dhabi
Notice Period: Immediate to 30 days
Mode: Permanent

Job Description

We are looking for an experienced Data Governance Lead to design, implement, and oversee enterprise-wide data governance capabilities across a multi-tenant data platform. The ideal candidate will have strong expertise in data governance frameworks, metadata and cataloguing systems, data quality management, data privacy, and cross-organizational stakeholder leadership.

This role requires establishing governance policies, defining operating models, collaborating with both technical and business teams, and ensuring consistent, compliant data management practices.


Responsibilities
Develop and maintain a comprehensive data governance framework that includes policies, standards, roles, and responsibilities.
Establish a data governance operating model covering stewardship, ownership, approval workflows, and cross-domain accountabilities.
Define guidelines for data classification, retention, data lifecycle, and privacy-by-design practices.
Coordinate governance councils, working groups, and cross-functional governance activities.
Lead the implementation and adoption of enterprise metadata and cataloguing tools (Purview, Informatica, Collibra, or similar).
Define and enforce metadata standards covering technical, business, and operational metadata.
Implement lineage visibility across ingestion, transformation, analytics, and consumption layers.
Ensure metadata is accurate, complete, and up to date across environments.
Define enterprise data quality dimensions, rules, thresholds, and monitoring processes.
Implement data quality scorecards, dashboards, and automated rule enforcement.
Lead root-cause analysis for quality issues and drive remediation initiatives with data owners and engineering teams.
Establish processes for ongoing measurement of data accuracy, completeness, timeliness, consistency, and validity.
Define and enforce data access governance, including approvals, segregation of duties, and usage policies.
Ensure data classification, sensitivity tagging, and privacy constraints are adhered to across all domains.
Collaborate with security, privacy, and legal teams to implement compliant data handling practices.
Support audits, compliance checks, and risk assessments.
Develop governance mechanisms ensuring complete isolation between tenant environments, including metadata, access, and quality domains.
Define standardized onboarding and governance workflows for new business units or entities.
Maintain consistency in governance controls across all tenant environments while supporting entity-specific needs.
Act as the primary point of contact for all governance-related matters.
Partner with data engineering, security, analytics, and business teams to ensure governance controls are embedded end-to-end.
Lead workshops, training sessions, and awareness programs to promote data literacy and governance adoption.
Manage feedback cycles and drive continuous improvement initiatives.
Develop governance playbooks, policy documents, standard operating procedures, and stewardship manuals.
Create onboarding guidelines for new entities or business domains.
Ensure complete knowledge transfer to internal teams, including governance roles, tools, workflows, and best practices.

Key Skills Requirements
7+ years of experience in data governance, data management, or enterprise data leadership roles.
Strong understanding of metadata management, lineage,cataloguing, and data quality frameworks.
Experience implementing or managing data governance platforms (IDMC, Collibra, Purview, Alation).
Strong knowledge of data management best practices (DCAM, DAMA-DMBOK, CDMC, ISO standards).
Deep understanding of data privacy, data classification, retention, and compliance principles.
Experience working with multi-team or multi-entity governance ecosystems.
Strong leadership, communication, and stakeholder management skills.

Preferred Certifications

CDMP (DAMA)
DCAM
Certifications in metadata systems.

If interested or any references pls share your resume to abirami.s@beinex.com with Subject line "Data Governance Lead" for further process