
Manager - Information Security
at HDFC Life is one of India's leading and most valuable private life insurance company

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Job Summary:
We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.
Key Responsibilities:
- Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
- Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
- Develop and manage infrastructure using Terraform or CloudFormation.
- Manage and orchestrate containers using Docker and Kubernetes (EKS).
- Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
- Write robust automation scripts using Python and Shell scripting.
- Monitor system performance and availability, and ensure high uptime and reliability.
- Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
- Maintain clear documentation and provide technical support to stakeholders and clients.
Required Skills:
- Minimum 4+ years of experience in a DevOps or related role.
- Proven experience in client-facing engagements and communication.
- Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
- Proficiency in Infrastructure as Code using Terraform or CloudFormation.
- Hands-on experience with Docker and Kubernetes (EKS).
- Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
- Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
- Proficient in Python and Shell scripting.
Preferred Qualifications:
AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
Experience working in Agile/Scrum environments.
Strong problem-solving and analytical skills.
We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.
The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.
Key Responsibilities
Cloud Architecture & Engineering
• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.
• Define cloud architecture standards, reference architectures, and best practices.
• Lead cloud migration and modernisation initiatives across enterprise workloads.
• Implement multi-region disaster recovery and business continuity strategies.
• Oversee Azure networking, identity, security, and governance frameworks.
DevOps & CI/CD
• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.
• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.
• Establish branching strategies, release management, and environment promotion standards.
• Define and enforce platform engineering standards and internal developer tooling.
AI & Machine Learning Integration
• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.
• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.
• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.
• Design and implement enterprise MLOps frameworks.
• Build automated model training, validation, deployment, and monitoring pipelines.
• Establish model governance and lifecycle management.
Generative AI & Agentic AI
- Design enterprise GenAI solutions using Azure OpenAI.
- Build AI Agents using Azure AI Foundry.
- Develop Agent-to-Agent communication patterns.
- Implement Retrieval Augmented Generation (RAG) architectures.
- Build enterprise Knowledge Management and AI Skill Registry platforms.
- Design multi-agent orchestration frameworks.
Leadership & Stakeholder Engagement
• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.
• Mentor and guide junior architects, developers, and DevOps engineers.
• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.
• Produce architecture documentation, decision records (ADRs), and roadmaps.
• Represent the technology function in enterprise architecture forums and governance boards.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in cloud engineering and architecture.
• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.
• Proven experience designing and implementing enterprise-grade CI/CD pipelines.
• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
• Deep knowledge of DevSecOps principles, tools, and practices.
• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).
• Proficiency in scripting and development: Python, PowerShell, Bash.
• Excellent communication and stakeholder management skills.
Preferred Qualifications
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: DevOps Engineer Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
• Familiarity with Datadog, Prometheus, or equivalent observability platforms.
• Experience in the real estate, retail, or enterprise industry sector.
• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
• Background in building Internal Developer Platforms (IDP).
Technical Skills
Domain
Technologies / Tools
Cloud Platform
Microsoft Azure (UAE North / Global)
DevOps & CI/CD
Azure DevOps, GitHub Actions, Jenkins
IaC
Terraform, Bicep, ARM Templates
AI / ML
Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services
Containers
Docker, Kubernetes (AKS), Azure Container Apps
Identity & Security
Microsoft Entra ID, Azure Policy, Defender for Cloud
Observability
Datadog, Azure Monitor, Log Analytics, Application Insights
Databases
Azure SQL, PostgreSQL, Cosmos DB
Languages
Python, PowerShell, Bash, YAML
Principal DevOps Engineer
Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.
We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.
Who are we?
Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.
What do we promise?
We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.
What do we provide?
● A chance to be on the leading edge of cybersecurity and AI
● Ability to have direct impact on company growth and revenue strategy
● An opportunity to mentor and be mentored by experts in multiple disciplines
What do we deliver?
Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.
Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.
Core Technology Stack
AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI
Key Responsibilities:
● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.
● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.
● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.
● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.
● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.
● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.
● Identify opportunities to leverage AI to automate operational and DevOps workflows.
● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.
● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.
● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.
● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.
● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.
● Define best practices and governance for the safe and effective use of AI across DevOps processes.
● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.
Requirements:
● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).
● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).
● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.
● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.
● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.
● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.
● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).
● Hands-on experience with on-call processes and incident management frameworks.
Preferred Qualifications:
● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.
● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.
● Experience with multi-tenant SaaS architectures and tenant isolation strategies.
● Knowledge of FinOps principles and AWS cost management tooling.
● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.
Core Competencies:
● Strategic Thinking – ability to translate business goals into scalable technical architecture.
● Operational Excellence – strong bias for reliability, automation, and continuous improvement.
● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.
● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.
● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.
Why should we connect?
We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.
At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.
If you are passionate about cybersecurity just as we are, we would love to connect and share ideas
• DevOps/Build and Release Engineer with maturity to help, define and automate the processes.
• Work, configure, install, manage, on source control tools like AWS Codecommit / GitHub / BitBucket.
• Automate implementation/deployment of code in the cloud-based infrastructure (AWS Preferred).
• Setup monitoring of infrastructure and applications with alerting frameworks
Requirements:
• Able to code in Python.
• Extensive experience with building and supporting Docker and Kubernetes in
production.
• Understand AWS (Amazon Web Services) and be able to jump right into our
environment.
• Security Clearance will be required.
• Lambda used in conjunction with S3, CloudTrail and EC2.
• CloudFormation (Infrastructure as code)
• CloudWatch and CloudTrail
• Version Control (SVN, Git, Artifactory, Bit bucket)
• CI/CD (Jenkins or similar)
• Docker Compose or other orchestration tools
• Rest API
• DB (Postgres/Oracle/SQL Server or NoSql or Graph DB)
• Bachelor’s Degree in Computer Science, Computer Engineering or a closely
related field.
• Server orchestration using tools like Puppet, Chef, Ansible, etc.
Please send your CV at priyanka.sharma @ neotas.com
Neotas.com
- Responsible for the entire infrastructure including Production (both bare metal and AWS).
- Manage and maintain the production systems and operations including SysAdmin, DB activities.
- Improve tools and processes, automate manual efforts, and maintain the health of the system.
- Champion best practices, CI-CD, Metrics Driven Development
- Optimise the company's computing architecture
- Conduct systems tests for security, performance, and availability
- Maintain security of the system
- Develop and maintain design and troubleshooting documentation
- 7+ years of experience into DevOps/Technical Operations
- Extensive experience in operating scripting language like shell, python, etc
- Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
- Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
- Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
- Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
- Knowledge of Databases (MySQL, NoSQL)
- Knowledge of security/ethical hacking
- Have experience with ElasticSearch, Kibana, LogStash
- Have experience with Cassandra, Hadoop, or Spark
- Have experience with Mongo, Hive
What you do :
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
-
Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare-metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
-
Data management skills
Education :
- Degree in Computer Engineering or Computer Science
- 1-3 years of equivalent experience in DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
-
Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
-
The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings, etc.
- Work with intelligent, fun and interesting people in a dynamic start-up environment.
Mandatory Requirement/ Preference:
1.PowerBuild technology experience with minimum 8+ years
- Excellent command on ASP.NET, Angular5/6/7/any version, MVC, Sql Server.
- Should have strong debugging skills on Developer Tools of the browser and Working with Cross Browser UI
4.Working knowledge of the Microsoft Windows Platform and Microsoft Office applications.
- Detailed technical knowledge of Angular any version, C#.Net (Visual Studio) development tools.
- Experience with DevExpress components desirable.
- Experience with DATA along with DevOps and GitHub.
- ANgularJS is different to Angular. AngularJS experience is not relevant to us










