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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 - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting
Criteria:
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
- Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
- Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
- Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
- Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
- Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
- Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
- Strong scripting skills (Bash, Shell, Python) for automation
- Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
- Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
- Strong experience in incident management, root cause analysis & production firefighting
Description
Role Overview
Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.
Key Responsibilities
1. Cloud Infrastructure — AWS (Primary Focus)
- Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
- Optimize cloud cost, resource utilization, and performance across environments.
- Design high-availability, fault-tolerant systems for streaming workloads.
2. CI/CD Automation
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Automate deployments for microservices, mobile apps, and backend APIs.
- Implement blue/green and canary deployments for seamless production rollouts.
3. Observability & Monitoring
- Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
- Perform proactive performance analysis to minimize downtime and bottlenecks.
- Set up dashboards for real-time visibility into system health and user traffic spikes.
4. Security, Compliance & Risk Highlighting
• Conduct frequent risk assessments and identify vulnerabilities in:
o Cloud architecture
o Access policies (IAM)
o Secrets & key management
o Data flows & network exposure
• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.
5. Scalability & Reliability Engineering
- Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
- Identify scalability gaps and propose solutions across:
- o Microservices
- o Caching layers
- o CDN distribution (CloudFront)
- o Database workloads
- Perform capacity planning and load testing to ensure readiness for 10x traffic growth.
6. Database & Storage Support
- Administer and optimize MongoDB for high-read/low-latency use cases.
- Design backup, recovery, and data replication strategies.
- Work closely with backend teams to tune query performance and indexing.
7. Automation & Infrastructure as Code
- Implement IaC using Terraform, CloudFormation, or Ansible.
- Automate repetitive infrastructure tasks to ensure consistency across environments.
Required Skills & Experience
Technical Must-Haves
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
- Strong hands-on experience with AWS (core and advanced services).
- Expertise in Jenkins CI/CD pipelines.
- Solid background working with MongoDB in production environments.
- Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
- Strong scripting experience (Bash, Python, Shell).
- Experience handling risk identification, root cause analysis, and incident management.
Nice to Have
- Experience with OTT, video streaming, media, or any content-heavy product environments.
- Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
- Understanding of CDN, caching, and streaming pipelines.
Personality & Mindset
- Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
- Proactive problem solver with ability to think about long-term scalability.
- Comfortable working with cross-functional engineering teams.
Why Join company?
• Build and operate infrastructure powering millions of monthly users.
• Opportunity to shape DevOps culture and cloud architecture from the ground up.
• High-impact role in a fast-scaling Indian OTT product.
About the Role
We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture.
Key Responsibilities
- Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar).
- Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents.
- Design and own CI/CD pipelines that deploy seamlessly across public and private environments.
- Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms.
- Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability.
- Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments.
- Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements).
- Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence.
- Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability.
- Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning.
- Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production.
- Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability.
Required Qualifications
- 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level.
- Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production.
- Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production.
- Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments.
- Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters.
- Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred).
- Solid scripting and programming skills in Python, Go, Bash, or similar.
- Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD.
- Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS).
- Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry).
- Proven track record of leading incident response and improving system reliability.
- Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams.
Preferred Qualifications
- Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments.
- Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux).
- Background in security-focused or regulated environments and exposure to compliance frameworks.
- Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups.
- Contributions to open-source DevOps or cloud infrastructure tooling.
- Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate).
- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker.
They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.
- Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
- Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
- Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
- Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
- Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
- Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
- Ensuring security and compliance/DevSecOps: Managing code quality and security policies
- Troubleshooting issues: Investigating issues and responding to customer queries
- Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
- Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.
Role : Senior Engineer Infrastructure
Key Responsibilities:
● Infrastructure Development and Management: Design, implement, and manage robust and scalable infrastructure solutions, ensuring optimal performance,security, and availability. Lead transition and migration projects, moving legacy systemsto cloud-based solutions.
● Develop and maintain applications and services using Golang.
● Automation and Optimization: Implement automation tools and frameworksto optimize operational processes. Monitorsystem performance, optimizing and modifying systems as necessary.
● Security and Compliance: Ensure infrastructure security by implementing industry best practices and compliance requirements. Respond to and mitigate security incidents and vulnerabilities.
Qualifications:
● Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
● Good understanding of prominent backend languageslike Golang, Python, Node.js, or others.
● In-depth knowledge of network architecture,system security, infrastructure scalability.
● Proficiency with development tools,server management, and database systems.
● Strong experience with cloud services(AWS.), deployment,scaling, and management.
● Knowledge of Azure is a plus
● Familiarity with containers and orchestration services,such as Docker, Kubernetes, etc.
● Strong problem-solving skills and analytical thinking.
● Excellent verbal and written communication skills.
● Ability to thrive in a collaborative team environment.
● Genuine passion for backend development and keen interest in scalable systems.
We are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon
Rules & Responsibilities:
- Design, implement and maintain all AWS infrastructure and services within a managed service environment
- Should be able to work on 24 X 7 shifts for support of infrastructure.
- Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
- Manage the production deployment and deployment automation
- Implement process and quality improvements through task automation
- Institute infrastructure as code, security automation and automation or routine maintenance tasks
- Experience with containerization and orchestration tools like docker, Kubernetes
- Build, Deploy and Manage Kubernetes clusters thru automation
- Create and deliver knowledge sharing presentations and documentation for support teams
- Learning on the job and explore new technologies with little supervision
- Work effectively with onsite/offshore teams
Qualifications:
- Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
- Experience in designing, implementing, and maintaining all AWS infrastructure and services
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
- Hands-on technical expertise in Security Architecture, automation, integration, and deployment
- Familiarity with compliance & security standards across the enterprise IT landscape
- Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
- Solid understanding of AWS IAM Roles and Policies
- Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
- Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
- Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
- Experience in managing and working with the offshore teams
- Familiarity with CI/CD systems such as Jenkins, GitLab CI
- Scripting experience (Python, Bash, etc.)
- AWS, Kubernetes Certification is preferred
- Ability to work with and influence Engineering teams


