DevOps Engineer

Azure DevOps Engineer

Experience

5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.

Priority 1 – Must Have (Hands-On)

Azure Cloud Platform

·        Strong hands-on experience supporting Azure workloads in production environments.

·        Experience designing, building and supporting Azure infrastructure using Terraform.

·        Good understanding of Azure networking and connectivity patterns.

·        Experience supporting:

Ø AKS

Ø Application Gateway

Ø Azure Traffic Manager

Ø Key Vault

Ø Azure Monitor / Log Analytics

Ø Managed Identities

Ø Service Principals

Ø Private Endpoints

Ø VNets, NSGs and Route Tables

Kubernetes / AKS

• Strong practical experience operating and supporting AKS.
• Ability to troubleshoot:

Ø Pod failures

Ø Ingress issues

Ø DNS issues

Ø SSL/TLS certificate issues

Ø Network routing issues

Ø Performance and availability incidents

• Experience with:

Ø Helm

Ø Ingress Controllers

Ø Cluster upgrades

Ø Scaling

Ø Monitoring

Terraform

·        Strong hands-on experience writing and maintaining Terraform.

·        Experience creating reusable modules.

·        Experience managing:

·        State files

·        Remote backends

·        Environment promotion

·        Infrastructure lifecycle

Linux & Scripting

·        Strong Linux administration fundamentals.

·        Practical experience troubleshooting production issues.

·        Bash scripting mandatory.

·        Python desirable.

Application Support / Troubleshooting

Must be comfortable supporting business applications end-to-end.

 Priority 2 – Highly Desirable

GitHub & DevOps Platform

Hands-on experience with:

·        GitHub Enterprise

·        GitHub Actions

·        Shared workflows

·        Reusable pipelines

·        Repository onboarding

·        Branch protections

·        GitHub security features

Experience supporting:

·        Runner issues

·        Disk space issues

·        Network connectivity issues

·        Dependency failures

·        Self-hosted runners lifecycle management

API Management

Pipeline failures

GitOps

Experience with:

·        ArgoCD

·        GitOps deployment models

·        Kubernetes deployment automation

Monitoring & Observability

Experience working with:

·        Prometheus

·        Grafana

·        Azure Monitor

·        Log Analytics

·        Application Insights

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production  and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word.

Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.

What we are looking for?

• 4+ years with Terraform for Infrastructure as Code (IaC) including modules, remote state, state management, imports and multi account providers.
• Experience in designing highly available and secure AWS architecture within strong understanding of RTO/RPO and DR Strategies.
• 4+ years in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration.
• 4+ years working with Git, with a solid grasp of branching and merging strategies.
• 4+ years hands-on with AWS infrastructure and platform services.
• 2+ years with cloud automation tools such as Ansible or Chef.
• 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker.
• A proactive, solutions-oriented approach and a drive to improve reliability and scalability.

What you will do?

• Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil.
• Own application configuration management and drive Infrastructure as Code through deployment tooling.
• Own the build and release cycle for customer projects, end to end.
• Share responsibility for deploying releases and for operations and maintenance work.
• Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones.
• Establish and enforce operational best practices, and hold releases to them.
• Help hire culturally aligned engineers and mentor them as they grow.
• Work with the founders on team strategy and long-term technical planning.
• Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Job Description

We are seeking an experienced DevOps Engineer to build and manage infrastructure for a FinTech product company operating with stateful microservices. The deployment environments include hybrid cloud and on-premise setups. The ideal candidate must have strong production experience with Kubernetes, cloud platforms, and infrastructure automation.

Key Responsibilities

• Design, build, and manage infrastructure for stateful microservices (databases, queues, caching layers).
• Work on Kubernetes environments—both managed (EKS/AKS/GKE) and self-managed clusters.
• Build, enhance, and maintain custom Helm Charts for complex deployments.
• Set up and manage CI/CD pipelines using ArgoCD, FluxCD, or similar GitOps tools.
• Architect and optimize multi-tenant deployment models.
• Implement and manage high availability, load balancing, certificate management (SSL/TLS).
• Design deployment architectures based on business requirements.
• Manage cloud infrastructure on AWS/Azure including VPC, IAM, cloud networking, and security.
• Work with Infrastructure-as-Code (IaC) tools (Terraform/CloudFormation/Pulumi), including writing reusable modules.
• Monitor, troubleshoot, and optimize performance across production environments.
• Ensure security best practices in networking, access control, and secrets management.

Mandatory Skills

• 5+ years of DevOps experience in product-based companies (not services/consulting).
• Strong hands-on experience with stateful microservices in production.
• Deep expertise in Kubernetes (managed + self-managed).
• Strong ability to write custom Helm Charts.
• Experience with multi-tenant production environments.
• Expertise in AWS or Azure (cloud networking, IAM, VPC, security groups, etc.).
• Experience setting up GitOps-based CI/CD (ArgoCD/FluxCD).
• Strong understanding of HA, load balancing, DNS, SSL/TLS certificates.
• Ability to justify architectural decisions and propose deployment designs.
• Hands-on experience with IaC tools and writing custom Terraform/Pulumi modules.

Nice to Have

• Exposure to hybrid cloud deployments
• Knowledge of on-premise orchestration & networking
• Experience with service mesh (e.g., Istio, Linkerd)
• Experience with monitoring/logging tools (Prometheus, Grafana, Loki, ELK)

Role: Azure DevOps AI Architect

Location: Bangalore (Onsite)

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 computer, 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 containerization 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).

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

• Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
• Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
• Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
• Experience with microservices and/or event-driven architecture.
• Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
• Strong practical Windows and Linux system administration skills in the cloud.
• Understanding of DNS, NFS, TCP/IP and other protocols.
• Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
• Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
• Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
• Exposure to programming languages like JAVA, PHP, SQL is a plus.
• AWS Developer or AWS SysOps Administrator certification is a plus.
• AWS Solutions Architect Certification experience is a plus.
• Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.

• Own the end-to-end infrastructure of Sibros Cloud
• Define and introduce security best practices, identify gaps in infrastructure and come up with solutions
• Design and implement tools and software to manage Sibros’ infrastructure
• Stay hands-on, write and review code and documentation, debug and root cause issues in production environment

• Experience in Infrastructure as Code (IaC) to manage multi-cloud environments using cloud agnostic tools like Terraform or Ansible
• Passionate about security and have good understanding of industry best practices
• Experience in programming languages like Python, Golang, and enjoying automating everything using code
• Good skills and intuition on root cause issues in production environment

• Experience in database and network management
• Experience in defining security policies and best practices
• Experience in managing a large scale multi cloud environment
• Knowledge of SOC, GDPR or ISO 27001 security compliance standards is a plus

Sibros is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, disability, sexual orientation, veteran status, present or past history of mental disability, genetic information or any other classification protected by state or federal law.