Software Architect/CTO

Appiness is a Bengaluru-based technology and product engineering company. We work with enterprises and high growth startups across the globe, building digital products that scale. We build enterprise AI, agentic and conversational AI, and cloud-native platforms across web, mobile, and cloud. We invest deeply in modern tech, with a strong bias for clean architecture, automation, and engineering craft across everything we build. With 50+ international design awards and recognition among India's fastest-growing companies, we're proud of the bar we set on both technology and experience. We love what we build, and we have fun building it.

What you'll do

• Design, provision, and manage AWS infrastructure across dev, staging, and production using Terraform modules and remote state.
• Build and maintain CI/CD pipelines for fast, reliable, repeatable deployments across multiple services.
• Containerize applications with Docker and orchestrate workloads on ECS or Kubernetes with sensible scaling and rollout strategies.
• Set up monitoring, alerting, and centralized logging so issues are caught and triaged before customers feel them.
• Own cloud security end to end: IAM hygiene, secrets management, network segmentation, encryption in transit and at rest, and patching across client accounts.
• Harden infrastructure against common attack surfaces, run vulnerability scans on containers and dependencies, and stay aligned with industry security standards.
• Partner with engineering teams to streamline release cycles, reduce lead time, and remove friction from day-to-day workflows.
• Document architecture, runbooks, and post-incident learnings so the platform and the team scale together.

What we're looking for

• 3+ years of hands-on DevOps or Cloud Engineering experience in production environments.
• Strong AWS fundamentals: VPC, EC2, ECS/EKS, RDS, S3, IAM, CloudWatch, Route 53, ALB/NLB.
• Production experience with Terraform, including modules, remote state, drift management, and multi-environment patterns.
• Comfort with Docker, container registries (ECR), and image security and patching practices.
• CI/CD experience with Jenkins or GitHub Actions, including secret handling and approval gates.
• Solid grasp of cloud security: IAM, secrets management, network policies, TLS, and least- privilege design.
• Exposure to vulnerability scanning, container hardening, and security best practices in CI/CD pipelines.
• Scripting in Python or Bash for automation, glue, and small internal tools.
• Solid Linux system administration and networking fundamentals.

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).

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). 

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

JOB DETAILS:

* Job Title: Lead I - Azure, Terraform, GitLab CI 

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 3-5 years

* Location: Trivandrum/Pune

Job Description

Job Title: DevOps Engineer

Experience: 4–8 Years 

Location: Trivandrum & Pune 

Job Type: Full-Time

Mandatory skills: Azure, Terraform, GitLab CI, Splunk

Job Description

We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.

Key Responsibilities

• Design, manage, and automate Azure cloud infrastructure using Terraform.
• Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
• Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
• Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
• Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
• Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
• Ensure infrastructure security, compliance, and scalability best practices are followed.

Mandatory Skills

Candidates must have hands-on experience with the following technologies:

• Azure – Cloud infrastructure management and deployment
• Terraform – Infrastructure as Code for scalable provisioning
• GitLab CI – Pipeline development, automation, and integration
• Splunk – Monitoring, logging, and troubleshooting production systems

Preferred Skills

• Experience with Harness (for CI/CD)
• Familiarity with Azure Monitor and Dynatrace
• Scripting proficiency in Python, Bash, or PowerShell
• Understanding of DevOps best practices, containerization, and microservices architecture
• Exposure to Agile and collaborative development environments

Skills Summary

Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell

Skills: Azure, Splunk, Terraform, Gitlab Ci

******

Notice period - 0 to 15days only

Job stability is mandatory

Location: Trivandrum/Pune

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

We are looking for an experienced DevOps Architect with strong expertise in telecom environments (OSS/BSS, 4G/5G core, network systems). The candidate will design and implement scalable, highly available, and automated DevOps solutions to support telecom-grade applications and infrastructure.

Responsibilities:

• Design and implement DevOps architecture for telecom applications (OSS/BSS, mediation systems, billing platforms)
• Architect CI/CD pipelines using Jenkins, GitLab, or Azure DevOps
• Manage cloud infrastructure on Amazon Web Services, Microsoft Azure, or hybrid telecom data centers
• Implement containerization using Docker and orchestration with Kubernetes
• Design Infrastructure as Code (IaC) using Terraform
• Ensure high availability, disaster recovery, and zero-downtime deployment strategies
• Automate deployments for 4G/5G core network functions (CNFs/VNFs)
• Implement monitoring solutions using Prometheus, Grafana, and ELK Stack
• Work closely with network engineering and telecom operations teams
• Ensure compliance with telecom-grade security standards

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Our Mission 

Our mission is to help customers achieve their business objectives by providing innovative, best-in-class consulting, IT solutions and services and to make it a joy for all stakeholders to work with us. We function as a full stakeholder in business, offering a consulting-led approach with an integrated portfolio of technology-led solutions that encompass the entire Enterprise value chain.

Our Customer-centric Engagement Model defines how we engage with you, offering specialized services and solutions that meet the distinct needs of your business.

Our Culture 

Culture forms the core of our foundation and our effort towards creating an engaging workplace has resulted in Infra360 Solution Pvt Ltd.

Our Tech-Stack:

• Azure DevOps, Azure Kubernetes Service, Docker, Active Directory (Microsoft Entra)
• Azure IAM and managed identity, Virtual network, VM Scale Set, App Service, Cosmos
• Azure, MySQL Scripting (PowerShell, Python, Bash), 
• Azure Security, Security Documentation, Security Compliance, 
• AKS, Blob Storage, Azure functions, Virtual Machines, Azure SQL
• AWS - IAM, EC2, EKS, Lambda, ECS, Route53, Cloud formation, Cloud front, S3
• GCP - GKE, Compute Engine, App Engine, SCC
• Kubernetes, Linux, Docker & Microservices Architecture
• Terraform & Terragrunt
• Jenkins & Argocd
• Ansible, Vault, Vagrant, SaltStack
• CloudFront, Apache, Nginx, Varnish, Akamai
• Mysql, Aurora, Postgres, AWS RedShift, MongoDB
• ElasticSearch, Redis, Aerospike, Memcache, Solr
• ELK, Fluentd, Elastic APM & Prometheus Grafana Stack
• Java (Spring/Hibernate/JPA/REST), Nodejs, Ruby, Rails, Erlang, Python

What does this role hold for you…??

• Infrastructure as a code (IaC)
• CI/CD and configuration management
• Managing Azure Active Directory (Entra)
• Keeping the cost of the infrastructure to the minimum
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environments infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Setting up the right set of security measures

Requirements

Apply if you have… 

• A graduation/post-graduation degree in Computer Science and related fields
• 2-4 years of strong DevOps experience in Azure with the Linux environment.
• Strong interest in working in our tech stack
• Excellent communication skills
• Worked with minimal supervision and love to work as a self-starter
• Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
• Experience with version control systems like Git
• Understanding of Azure cloud computing services and cloud computing delivery models (IaaS, PaaS, and SaaS)
• Strong scripting or programming skills for automating tasks (PowerShell/Bash)
• Knowledge and experience with CI/CD tools: Azure DevOps, Jenkins, Gitlab etc.
• Knowledge and experience in IaC at least one (ARM Templates/ Terraform)
• Strong experience with managing the Production Systems day in and day out
• Experience in finding issues in different layers of architecture in a production environment and fixing them
• Experience in automation tools like Ansible/SaltStack and Jenkins
• Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
• Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
• Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
• Experience in logging tools Like ELK/Loki.
• Experience in using Microsoft Azure Cloud services

If you are passionate about infrastructure, and cloud technologies, and want to contribute to innovative projects, we encourage you to apply. Infra360 offers a dynamic work environment and opportunities for professional growth. 

Interview Process

Application Screening=>Test/Assessment=>2 Rounds of Tech Interview=>CEO Round=>Final Discussion

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• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.