DevOps Engineer

 Job Description:

• Job title : Senior DevOps Engineer (On-Premises Automation)        
• Experience: 8+ years
• Location: Chennai / Pune / Hyderabad / Bangalore
• Shift: UK Shift
• Work Mode: Onsite (WFO)

Roles and Responsibilities:

• This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.              

Key Responsibilities:

• Lead secure and repeatable on-prem build provisioning pipelines
• Lead Jenkins CI/CD for automated on-prem provisioning and configuration.
• Create pipeline templates for VM/physical host, OS deployment, configuration, certification, and rollback.
• Embed hardened-image validation, scan gates, secrets handling, approvals, and audit evidence.
• Lead Ansible roles, PowerShell modules, test automation, and code reviews.
• Implement logging, monitoring, and root-cause analysis; support UAT and hypercare.       

Required Qualifications:

• 8–10 years in DevOps, platform engineering, or infrastructure automation.
• Bachelor’s degree or equivalent experience.
• Jenkins
• Git, CI/CD
• Ansible, PowerShell
• Python, IaC
• security scanning, secrets management
• Windows/Linux.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Required

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.
• 2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).
• 2+ years' experience in infrastructure design, platform engineering, or architecture.
• Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.
• Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).
• Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.
• Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.
• Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.
• Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.
• Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.
• Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

• Experience with multi-cloud environments or hybrid cloud integration.
• Familiarity with GitOps, policy-as-code (e.g. Azure Policy, OPA), and secrets management (Azure Key Vault).
• Experience implementing DevSecOps practices — automated scanning, compliance-as-code, and shift-left security.
• Experience designing monitoring and observability frameworks (rather than just consuming them).
• Certifications — any of the following are highly valued:
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: DevOps Engineer Expert (AZ-400)
• HashiCorp Certified: Terraform Associate
• ITIL Foundation or Practitioner
• CISSP or similar security certification

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

Title: Azure Cloud Developer/Engineer

Exp: 5+ yrs

Location: T-Hub, Hyderabad

Work from office (5 days/week)

Interview rounds: 2-3

Excellent comm skills

Immediate Joiner

Job Description

Position Overview:

We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.

Key Responsibilities:

• Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
• Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
• Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
• Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
• Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
• Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
• Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
• Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
• Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
• Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
• Work with Azure Key Vault for secrets and certificate management.
• Explore multi-cloud strategies, integrating AWS services where necessary.

Key Skills Required:

• Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
• Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
• Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
• Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
• Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
• CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
• Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
• Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
• Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
• Strong understanding of containerization, orchestration, and microservices architecture.

Certifications (Preferred):

Required:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert

Nice to Have (AWS Experience):

• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional

Nice to Have Skills:

• Experience with multi-cloud environments (Azure & AWS).
• Familiarity with container security tools (Aqua Security, Prisma Cloud).
• Experience with GitOps methodologies using tools like ArgoCD or Flux.
• Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).

Benefits

Why Join Us?

• Competitive salary with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.

Job Description

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Key Responsibilities and Must-have skills:

• Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
• Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
• Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies and risk management strategies
• Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
• Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
• Experience with application discovery preferably with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
• Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
• Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
• Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
• Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
• Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
• Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
• Hands-on Experience with application build/release processes CI/CD pipelines
• Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

• Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
• Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
• Assist Sales and Marketing team in creating sales and marketing collateral
• Write whitepapers and technology blogs to be published on social media and Intuitive website
• Create case studies for projects successfully executed by Intuitive delivery team
• Conduct sales enablement sessions to coach sales team on new offerings
• Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
• Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
• Strong passion for modern technology exploration and development
• Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
• Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
• Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
• Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

We are looking for a tech enthusiast to work in challenging environment, we are looking for a person who is self driven, proactive and has good experience in Azure, DevOps, Asp.Net etc. share your resume today if this interests you.

Job Location: Pune

About us:

JetSynthesys is a leading gaming and entertainment company with a wide portfolio of world class products, platforms, and services. The company has a robust foothold in the cricket community globally with its exclusive JV with Sachin Tendulkar for the popular Sachin Saga game and a 100% ownership of Nautilus Mobile - the developer of India’s largest cricket simulation game Real Cricket, becoming the #1 cricket gaming franchise in the world. Standing atop in the charts of organizations fueling Indian esports gaming industry, Jetsysthesys was the earliest entrant in the e-sports industry with a founding 50% stake in India’s largest esports company, Nodwin Gaming that is recently funded by popular South Korean gaming firm Krafton.

Recently, the company has developed WWE Racing Showdown, a high-octane vehicular combat game borne out of a strategic partnership with WWE. Adding to the list is the newly launched board game - Ludo Zenith, a completely reimagined ludo experience for gamers, built in partnership with Square Enix - a Japanese gaming giant.

JetSynthesys Pvt. Ltd. is proud to be backed by Mr. Adar Poonawalla - Indian business tycoon and CEO of Serum Institute of India, Mr. Kris Gopalakrishnan – Co-founder of Infosys and the family offices of Jetline Group of Companies. JetSynthesys’ partnerships with large gaming companies in the US, Europe and Japan give it an opportunity to build great products not only for India but also for the world.

Responsibilities

- As a Security & Azure DevOps engineer technical specialist you will be responsible for advising and assisting in the architecture, design and implementation of secure infrastructure solutions

- Should be capable of technical deep dives into infrastructure, databases, and application, specifically in operating, and supporting high-performance, highly available services and infrastructure

· Deep understanding of cloud computing technologies across Windows, with demonstrated hands-on experience on the following domains:

· Experience in building, deploying and monitoring Azure services with strong IaaS and PaaS services (Redis Cache, Service Bus, Event Hub, Cloud Service etc.)

· Understanding of API endpoint management

· Able to monitor, maintain serverless architect using function /web apps

· Logs analysis capabilities using elastic search and Kibana dashboard

· Azure Core Platform: Compute, Storage, Networking

· Data Platform: SQL, Cosmo DB, MongoDB and JQL query

· Identity and Authentication: SSO Federation, ADAzure AD etc

· Experience with Azure Storage, Backup and Express Route

· Hands-on experience in ARM templates

· Ability to write PowerShell & Python scripts to automate IT Operations

· Working Knowledge of Azure OMS and Configuration of OMS Dashboards is desired

· VSTS Deployments

· You will help assist in stabilizing developed solutions by understanding the relevant application development, infrastructure and operations implications of the developed solution.

· Use of DevOps tools to deliver and operate end-user services a plus (e.g., Chef, New Relic, Puppet, etc.)

· Able to deploy and re-create of resources

· Building terraforms for cloud infrastructure

· Having ITIL/ITASM standards as best practise

· PEN testing and OWASP security testing will be addon bonus

· Load and performance testing using Jmeter

· Capacity review on daily basis

· Handing repeated issues and solving them using ansible automation

· Jenkin pipelines for CI/CD

· Code review platform using sonarqube

· Cost analysis on regular basis to keep the system and resources optimum

· Experience on ASP.Net, C#, .Net programming is must.

Qualifications:

Minimum graduate (Preferred Stream: IT/Technical)

• Develop and Maintain IAC using Terraform and Ansible
• Draft design documents that translate requirements into code.
• Deal with challenges associated with scale.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship

• Terraform o Ansible
• *nix and shell scripting
• Elasticsearch
• Circle CI
• CloudFormation
• Python
• Packer
• Docker
• Prometheus and Grafana
• Challenges of scale
• Production support
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.