11+ Security awareness Jobs in Chennai | Security awareness Job openings in Chennai

Senior Security Architect

The Security Architect leads the design and development of innovative security architectures for protecting data deployed into different types of cloud and cloud/hybrid systems. This position will directly contribute to the overall global enterprise cloud architecture and lead the security vision and strategy around cloud-based applications, across all types (including Infrastructure, Platform, and Software as a Service (IaaS/PaaS/SaaS).

Job Description

The Security Architect will serve as the central point of contact for other Technology teams within the Organization for all matters related to cloud security.

The successful candidate possesses the excellent interpersonal and communication skills required to partner with other leaders across the business to identify opportunities and risks and develop and deliver solutions that support business strategies and protect the intellectual property globally.

Expertise – Collaborate with Application Owners, Technical Owners, Platform Leads, and Information Security teams, to architect and design cloud security solutions.

Knowledge of cloud security services such as Azure and AWS is essential

Delivery – Complete architecture assessments across projects, prove use of security solutions to support new distributed computing solutions that span private cloud and public cloud services.

Security Technology Strategy – Work with engineering, service and business teams to create technology roadmaps.

Responsibilities Include

• Design and develop security architectures for cloud and cloud/hybrid based systems. Possess a firm understanding of the offerings within both Amazon Web Services (AWS) and the Microsoft Azure platforms. Based on business requirements, design and implement cloud-native architecture and design that will allow those requirements to be met with a minimal degree of risk and with appropriate security controls present.

• Represent the Corporate Information Security Office in development and implementation of the overall global enterprise cloud architecture.

• Act as the ambassador and senior technical representative for Information Security while engaging with other senior technical leaders throughout the Organization in design and implementation of cloud and cloud/hybrid based implementations and solutions.

• Work with Engineering, Infrastructure Services, and Application Development organizations to choose appropriate technology solutions and facilitates complete integration. Develops standards in partnership with Engineering, Infrastructure Services, and Application Development.

• Lead training and technical forums, serve as both a formal and informal mentor, and execute other initiatives designed to share knowledge across Security and Technology groups.

• Identify, recommend, coordinate, and/or conduct informal/formal training sessions to deliver timely knowledge to support teams regarding technologies, processes or tools.

• Develop and execute strategies to increase Cloud Security knowledge throughout the enterprise, as well as developing and mentoring more-junior security analysts and engineers.

• 5-8 years of experience with Security Architect and/or Engineering.

• 3-5 years of experience with Cloud platforms such as Microsoft Azure and Amazon Web Services (AWS).

• Experience architecting solutions within Microsoft Azure, Amazon Web Services (AWS) and, preferably, other cloud providers.

• Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (secure software development (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other cloud environments.

• Working knowledge of common and industry standard cloud-native/cloud-friendly authentication mechanisms (OAuth, OpenID, etc).

• Experience with deployment orchestration, automation, and security configuration management preferred.

• Experience with service-oriented architecture for cloud-based services.

• Experience working with cloud security and governance tools, cloud access security brokers (CASBs), and server virtualization technologies.

• Experience with enterprise applications (architecture, development, support, and troubleshooting).

• Experience performing threat modeling and design reviews to assess security implications and requirements for introduction of new technologies.

• Experience representing technical viewpoints to diverse audiences and in making timely and prudent technical risk decisions.

• Experience with enterprise architecture and working as part of a cross-functional team to implement solutions.

• Strong interpersonal and communication skills; ability to work in a team environment

• Ability to work independently with minimal direction; self-starter/self-motivated

• Detailed understanding of SSL/TLS protocols and certificate-based solutions

• Technical writing experience

Preferred Qualifications

• Minimum of 15 years of formal education - Graduate / Postgraduate in Computer Science / Information Technology Professional work experience between 10-15 and at least 6-8 years as a Security Architect / Junior Security Architect

• Working Experience with distributed team preferred.

• Relevant industry certifications such as CISSP, CISM, or CCSP

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Job Description:

An Assistant Engineer works as part of an engineering team to support various aspects of production, design, quality control, and maintenance. They are involved in project planning, process improvement, equipment maintenance, and troubleshooting. The role also includes monitoring safety regulations, analyzing test results, and ensuring compliance with industry standards.

Key Responsibilities:

1. Technical Support & Project Assistance

• Assist senior engineers in project design, execution, and troubleshooting.
• Conduct research, collect data, and prepare technical reports.
• Participate in product development and testing processes.

1. Production & Process Optimization

• Monitor production activities and ensure smooth operation.
• Identify inefficiencies and propose process improvements.
• Coordinate with production teams to maintain workflow efficiency.

1. Quality Control & Assurance

• Conduct quality checks and inspections of materials, components, and finished products.
• Ensure products meet industry and regulatory standards.
• Assist in root cause analysis and corrective action implementation.

1. Equipment Maintenance & Safety Compliance

• Ensure machines and tools are properly maintained.
• Follow safety protocols and assist in risk assessment.
• Train workers on the safe operation of equipment.

1. Documentation & Reporting

• Maintain records of production, quality tests, and project progress.
• Prepare reports for senior engineers and management.
• Assist in preparing SOPs (Standard Operating Procedures).

Role Objective:

The objective of the developer is to design and develop solutions while being responsible for the coding standards, security and compliance requirements. 

Roles & Responsibilities:

• Business Understanding
• Understands the business requirements clearly to a level that enables in making micro decisions. Involves in designing, developing, testing software solutions 
• Arch/Design Documentation
• Clear documentation of the workflows, maintains clean code and support in solution architecture/design documentations 
• Dev Testing & Solution
• Engages in identifying & troubleshooting various website issues and coding problems; Evaluates and implements new tools based on the requirement and ensures the high performance of all systems developed; Involves in performing the code review and refactor to ensure the code quality based on the best practices and code conventions. 
• Understanding Coding Standards, Compliance & Info-security, Non-functional Requirement
• Identifies security requirements of data-in-transit and data-at-rest and discovers the vulnerabilities of the third-party components/libraries used in the application and remediating vulnerabilities; Maintains updated knowledge of the development industry, advancements in technology, and its implementation. 
• Stakeholder Management
• Collaborates with members to consistently improve the functionality and client centric solutions; Collaborate with the peers and team members to create an intuitively easy to use solution for our end users; Assists the DevOps team to manage the environment and releases; Provides training and support to junior developers. 

Requirements

• Frameworks & Libraries:
• Dot net Core
• Entity Framework
• Backend languages: C#
• Database Concepts & Applications:
• Entity framework, ADO.Net, Dapper
• Should be familiar with any of the relational databases like Postgres, SQLServer, Oracle etc., or non relational databases like MongoDB, Cassandra, etc.,
• Should be familiar with concepts: Normalization, Indexing, Joins
• Unit Testing: Should be familiar with NUnit
• Log frameworks: Should be familiar with any one of the logging libraries like Nlog or Log4Net
• Authorization & Authentication:
• Token Based Auth
• JWT with refresh token
• Claims & Identity
• SSO
• Basic Authentication
• OAuth
• Build Tools: dot net cli build commands
• Version Control: Experience in using GIT
• Other Development tools:
• Swagger Editor
• Postman/Flutter
• VSCode
• Application performance management: Nice to have basic knowledge in any of the APM Tools like AppDynamics, DataDog, NewRelic, Dynatrace, etc.,
• Vulnerability tests: Nice to have basic knowledge on security principles like OWASP Top Te etc.,
• Cloud Services: Nice to have experience in any one of the cloud services like GCP, AWS, Azure, etc.,
• CI/CD understanding: Basic understanding of pipelines and deployments
• Others:
• Common application/ web security and OWASP vulnerabilities
• Encryption algorithms to protect sensitive information
• PII, PCI, HIPPA, and GDPR compliance and how to implement
• Finding the vulnerabilities of the third-party components/ libraries
• Understanding security breaches of data-in-transit and data-at-rest and its implementation
• Behavioral Competencies:
• Accountability
• Adaptive to change
• Business communication
• Customer Focus
• Learning Agility
• Planning & organizing
• Problem solving

Remitbee Online Money Transfer is seeking a skilled QA Automation Engineer with experience in Selenium and Manual Testing. Individuals who apply for Remitbee careers should be passionate about tech and driven towards innovating the industry further with the Remitbee team. This position also comes with the opportunity for career growth and working hour flexibility. We look forward to reading your application.

What will you do?

• Work in an agile team of developers, QA, DevOps and founders
• On going Web, API, UI testing
• Automation testing with Selenium
• Provide accurate estimates

Skills and requirements 

5+ years of experience using Selenium or similar automation too

• Able to write test cases based on business requirements
• Write automation and perform Web, API, UI, functional, regression, smoke, black box, load, performance and end-to-end testing
• Experience using Jira, Xray, testrail or any kind of similar test automation tools.
• Familiarity with network packet analysis tools, such as Wireshark.
• Problem solving skills including the ability to troubleshoot and identify problem areas throughout testing.
• Collaborate well with others. Ability to translate technical concepts into easy to understand terms.
• Verbal & written communication skills - In-depth.
• Programming experience with Java.
• Proven experience of leading team.

Competencies

• Strong communication skills
• Self-Motivated
• Willingness to learn new tools and technology and work in a collaborative environment
• Creativity, this is an opportunity to be involving in shaping the strategy of our company. Ideas and input at all levels in the business is welcome.

Type: Full time

Total Exp: 5+ years

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

You will: 

• Understand business problems and translate business requirements into technical requirements. 
• Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
• Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
• Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
• Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
• Lead and mentor data analysts. 

We are looking for someone who has: 

• Apart from your love for data and ability to code even while sleeping you would need the following. 
• Minimum of 02 years of experience in designing and delivery of data science solutions. 
• You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
• Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
• Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
• Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

• Regression
• Classification
• Predictive Modelling
• Prescriptive Modelling
• Python
• R
• Descriptive Modelling
• Time Series
• Clustering
•  

What is in it for you: 

• Be a part of building the biggest brand in Data science. 
• An opportunity to be a part of a young and energetic team with a strong pedigree. 
• Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

Please Note:  

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.