CA fresher

Job Title: Intern - Video Editor

Experience Required: 6 months to 1 Years

Location: Gurgaon

Type: Full-time

Roles and Responsibilities

● Edit engaging travel videos including destination promos, itineraries, hotel and holiday

ads, Reels, Shorts, and influencer-led content

● Work with content and marketing teams to turn raw footage into high-impact, story-driven

videos

● Shoot supplementary footage using smartphone or DSLR when required (B-rolls, voice

clips, walk-throughs)

● Edit videos in multiple formats (9:16, 1:1, 16:9) for platforms like YouTube, Instagram,

and Facebook

● Add text overlays, maps, transitions, music, and basic motion graphics to enhance

storytelling

● Perform colour correction and colour grading for all final outputs

● Maintain brand tone, visual consistency, and quality standards

● Organise project files and manage edit timelines efficiently

● Stay updated with short-form video trends across social platforms

● Use AI-based image and video tools for storytelling and digital content

● Collaborate effectively in a fast-paced environment with strong communication and time

management skills

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

· Professional Experience: 5+ years of experience in data engineering or a related field.

· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.

· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:

· AWS Glue for ETL/ELT.

· S3 for storage.

· Redshift or Athena for data warehousing and querying.

· Lambda for serverless compute.

· Kinesis or SNS/SQS for data streaming.

· IAM Roles for security.

· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.

· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.

· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.

· Version Control: Proficient with Git-based workflows.

· Problem Solving: Excellent analytical and debugging skills.

Optional Skills

· Knowledge of data modeling and data warehouse design principles.

· Experience with data visualization tools (e.g., Tableau, Power BI).

· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

· Exposure to other programming languages like Scala or Java.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Why Join Us?

· Opportunity to work on cutting-edge AWS technologies.

· Collaborative and innovative work environment.

Job description

Years Of Experience : 3 to 5 Years

Notice Period : Immediate to 15 Days Joiners

Job Summary:

We are seeking a Product Manager to lead the strategy, roadmap, and execution of our product initiatives. The ideal candidate will work closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative and customer-centric solutions.

Key Responsibilities:

• Drive the execution of all processes in the product lifecycle, including product and market research, competitor analysis, planning, positioning, requirements and roadmap development, and product launch
• Define and execute the product roadmap for the E-commerce platform, ensuring alignment with business goals.
• Lead the development and enhancement of core platform features, including product discovery, checkout, payments, and post-purchase experience.
• Work closely with Technology, UX/UI, marketing, and analytics teams to improve user experience and optimize conversion rates.
• Analyze customer behavior, competitive insights, and industry trends to drive data-driven product decisions.
• Implement AI/ML-driven personalization, recommendation engines, and dynamic pricing strategies.
• Work on mobile-first optimizations and PWA enhancements for better performance and reach.
• Manage A/B testing, usability testing, and iterative improvements to drive continuous growth.
• Stay updated on E-commerce innovations, payment trends, and customer experience best practices.

Required skills and qualifications

• Strong experience in a dynamic product management role
• Proven success in overseeing all elements of the product development lifecycle
• High effectiveness in managing cross-functional teams
• Experience in delivering finely tuned product marketing strategies
• Exceptional writing and editing skills, combined with strong presentation skills
• Data analytics and metrics management skills
• Critical thinking and problem-solving skills
• Attention to detail
• Experience using computer-aided design (CAD) platforms

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in product design or engineering
• Previous experience in software and web development
• Proven experience in product management (preferably in [industry/domain, e.g., Fintech, E-commerce]).
• Demonstrable knowledge of SEM (search engine marketing) and online advertising
• Certified Product Manager (CPM) or New Product Development (NPD) Professional Certification a plus.
• Experience with Agile methodologies & Product analytic tools.

• You will work directly with the two co-founders in helping the company to achieve its strategic and operational goals, by delivering key internal and external projects that are critical to the success of the company
• You will own the creation of all external facing material produced by the CEO Office for senior engagements with the promoters, board and all employees
• You will have a deep understanding of the company business model, the underlying profitability and levers of different business verticals
• You will be responsible for driving the rigour of analytical market based insights into actionable co-ordination between the Revenue team and the Brand team

Digitex Web IT Solutions is looking for a an experienced PHP Laravel Developer with proven experience in coding with PHP, Laravel, Wordpress(Skilled in Shopify will be an add-on)

Skills Required:

• Minimum 2 years of relevant expertise in PHP, Laravel, Wordpress
• Generate Wordpress Themes and plug-in development
• Good in PHP MVC frameworks, ideally laravel
• Skilled in Shopify will be an add-on.
• Good communication and analytical skills.

Required Candidate Profile:

• Must have good wordpress knowledge in plug-in development
• Well conversant in SQL queries and OOPS 

Kolkata based candidates can apply

Primarily we look for below following criteria :

• Good requirement gathering / BA skills
• Experience of Agile framework
• Domain – BFS : Wholesale / Retail etc. 
• Data Analytics & AI, Digital Banking experience