SEO Outreach Specialist

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

Role & Responsibilities

• work with peers in Product, QA, and other Engineering departments;
• coach and mentor team members;
• cautiously drive adoption of new technologies and processes;
• preserve our engineering values of quality, scalability, and maintainability;
• “see around corners” — identify blind spots and prioritize work across teams;
• work with international teams to ensure successful product development and delivery; and
• own the overall architecture and systems engineering for your products.

Ideal Candidate

• exceptional communication and organizational skills;
• experience recruiting for and building software engineering teams;
• the ability to inspire and motivate team members;
• a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
• 6+ years of software development experience; and
• 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.

Key Responsibilities:

• Handle escalated voice calls transferred by L1 agents or supervisors.
• Provide expert-level support for complex issues and ensure timely resolution.
• Maintain ownership of tickets through resolution, keeping customers informed throughout the process.
• Coordinate with internal teams (Product, Engineering, QA, etc.) to resolve technical issues.
• Identify patterns in escalations and suggest process/product improvements.
• Document solutions, create knowledge base articles, and provide feedback to the L1 team to reduce future escalations.
• Meet or exceed defined KPIs such as First Call Resolution (FCR), CSAT, and Average Handling Time (AHT).
• Ensure adherence to SLAs and internal escalation protocols.
• Act as a mentor and point of contact for L1 agents when guidance is needed.

Requirements:

• 2–4 years of experience in customer support, with at least 1 year in L2 or escalations (voice process).
• Strong verbal communication skills with fluency in [English/Other relevant language].
• Experience with CRM and ticketing tools (e.g., Zendesk, Freshdesk, Salesforce).
• Ability to handle high-pressure situations and demanding customers with empathy and professionalism.
• Technical troubleshooting experience preferred (based on industry – SaaS, Telecom, FinTech, etc.).
• Willingness to work in rotational shifts or weekends, if required.
• Bachelor's degree or equivalent preferred.

🎨 Role Overview:

We’re seeking a Graphic Design & Animation Intern to support our team in creating high-quality illustrations, web graphics, and short animations. This is a hands-on, creative role ideal for students or recent graduates passionate about visual storytelling and design.

📌 Responsibilities:

• Design graphics, icons, and illustrations for web and digital platforms.
• Create short animations or motion graphics (e.g., for hero banners, explainer sections).
• Support in branding assets (social media creatives, website visuals).
• Collaborate with developers and content team to ensure cohesive visual output.
• Stay up to date with design trends and apply them to projects.

✅ Requirements:

• Pursuing or recently completed a degree/diploma in Graphic Design, Animation, Fine Arts, or a related field.
• Strong portfolio showcasing illustrations, animations, or design work (college/personal projects acceptable).
• Proficiency in tools like Adobe Illustrator, Photoshop, After Effects (or similar animation software).
• Basic understanding of UI/UX principles is a plus.
• Passionate, curious, and eager to learn.

• Building an environment for the creative team to work in and overseeing their ideas and projects

• taking responsibility for the creative philosophy and the standard of output across the agency or department

• developing ideas for advertising or promotional campaigns

• pitching concepts to clients if you work at an agency, or presenting to directors if you work in-house

• overseeing several projects from start to finish, keeping to deadlines, and signing off on these projects before they are presented

• liaising with clients to keep them informed and to highlight any issues

• understanding the commercial aspects of the agency or marketing department

• hiring and managing the creative team.

Responsibilities:

• Work on design and develop scalable solutions using efficient Design Patterns
• Adept in handling Non-functional requirements (performance etc.)
• Excellent aesthetic capability with UX designing and development experience
• Have a good understanding of all aspects of the application like rendering big datasets, fetching data using and authentication.
• Identify improvement areas within the application and work to implement the same
• Flexibility in adapting to team requirements

Requirements:

• Comprehensive knowledge of UX and responsive UI design with an emphasis on intuitive design
• Ability to write cross-browser and standards-compliant code that meets flexibility, scalability, and performance requirements
• Highly skilled at front-end engineering using a client-side technology stack including AngularJS, JQuery, HTML, CSS
• 5+ experience in Angular developing responsive Single Page application
• Experience working with REST API
• Experience working with JSON
• Experience with SVN/Git, Node.JS
• Knowledge of Agile and/or SCRUM methodologies
• Dedicated, self-driven and willing to take responsibility and ownership of the application
• Strong Problem identifying and solving ability and excellent communication skills

Job Type: Full Time, Onsite

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops