Senior DevOps Engineer

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).

Job Title : DevOps Engineer – Fintech (Product-Based)

Experience : 5+ Years

Location : Mumbai

Job Type : Full-Time | Product Company

Role Summary :

We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.

The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.

Mandatory Skills :

Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.

Key Responsibilities :

• Deploy and manage stateful microservices in production.
• Handle both managed & self-managed Kubernetes clusters.
• Develop and maintain custom Helm Charts.
• Implement GitOps pipelines using ArgoCD/FluxCD.
• Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
• Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
• Design multi-tenant cluster deployments.
• Manage HA, load balancers, certificates, DNS, and networking.

Mandatory Skills :

• Product-based company experience.
• Strong Kubernetes (EKS/AKS/GKE + self-managed).
• Custom Helm Chart development.
• GitOps tools : ArgoCD/FluxCD.
• AWS/Azure cloud networking & security.
• IaC module development (Terraform/Pulumi/CloudFormation).
• Experience with stateful components (DBs, queues, caches).
• Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.

ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation.  This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:

Duties & Responsibilities

• Deployment, automation, management, and maintenance of AWS cloud-based production system
• Build a deployment pipeline for AWS and Salesforce
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Work collaboratively with software engineering to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

Requirements

• At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Database experience to help with monitoring and performance; PostgreSql experience preferred
• AWS certification preferred

Education

• Bachelors in Engineering or related field

• DevOps Pre Sales Consultant

Ashnik

Established in 2009, Ashnik is a leading open source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

For more details, kindly visit www.ashnik.com

THE POSITION Ashnik is looking for experienced technology consultant to work in DevOps team in sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution

RESPONSIBILITIES

• Own pre-sales or sales engineering responsibility to design, present, deliver technical solution
• Be the point of contact for all technical queries for Sales team and partners
• Build full-fledged solution proposals with details of implementation and scope of work for customers
• Contribute in technical writings through blogs, whitepapers, solution demos
• Make presentations at events and participate in events.
• Conduct customer workshops to educate them about features in Docker Enterprise Edition
• Coordinate technical escalations with principal vendor
• Get an understanding of various other components and considerations involved in the areas mentioned above
• Be able to articulate value of technology vendor’s products that Ashnik is partnering with eg. Docker, Sysdig, Hashicorp, Ansible, Jenkins etc.
• Work with partners and sales team for responding to RFPs and tender

QUALIFICATION AND EXPERIENCE

• Engineering or equivalent degree
• Must have at least 8 years of experience in IT industry designing and delivering solutions
• Must have at least 3 years of hand-on experience of Linux and Operating system
• Must have at least 3 years of experience of working in an environment with highly virtualized or cloud based infrastructure
• Must have at least 2 years hands on experience in CI/CD pipeline, micro-services, containerization and kubernetes
• Though coding is not needed in this role, the person should have ability to understand and debug code if required
• Should be able to explain complex solution in simpler ways
  · Should be ready to travel 20-40% in a month
• Should be able to engage with customers to understand the fundamental/driving requirement

DESIRED SKILLS

• Past experience of working with Docker and/or Kubernetes at Scale
• Past experience of working in a DevOps team
• Prior experience in Pre-sales role

Salary: upto 20L

Location: Mumbai

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

• You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You can write code preferably in Golang and Python.
• You have experience with debugging production issues and writing RCAs.
• You have demonstrable stories of being on-call and how outages have been handled.
• You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
• You have worked with Cloud Native (CNCF) technologies.
• You have experience automating CI/CD pipelines.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Ensure limited system failure and increase up-time and availability of the various company apps.
• Understand the current application infrastructure and strive for making it better.
• Automate infrastructure and develop tools and processes to improve the customer experience and reduce support time.
• Work closely with a team of developers and solution strategists to develop, deploy and troubleshoot the deployment and infrastructure issues.
• Manage full application stacks from the OS through custom applications using Amazon cloud-based computing environments.
• Set up a monitoring stack.
• Implement the application’s CI/CD pipeline using the AWS stack. Increasingly automate and improve the testing plans and development workflows and tools.
• Work closely with the engineers to design networks, systems, and storage environments that effectively reflect business needs, security requirements, and service level requirements.
• Manage a continuous integration/continuous deployment methodology for the server-based technologies.
• Proficient in leveraging CI and CD tools to automate testing and deployment. Experience working in an Agile, fast-paced, DevOps environment.
• Support internal and external customers on multiple platforms.
• First point of contact for handling customer issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Learn on the job and explore new technologies with little supervision.
• In addition to providing customer support, will be responsible for helping build tools and processes necessary for excellent customer outcomes.

Skills:

• Experience with the core AWS services, plus the specifics mentioned in this job description.
• Experience working with at least one of the following languages: Node.js, Python, PHP, Ruby, Kotlin or Java.
• Proficient with Git and Git workflows and hosted enterprise Git solutions like GitHub.
• Ability to troubleshoot distributed systems.
• Experience with. AWS EKS Kubernetes infrastructure setup.
• Experience creating Cloud Formation Template to create Auto Scaling Groups, Route 53, DNS, back-end database, Elastic load balancer, VPCs, Subnets, Security Groups, Cloud Watch, S3, IAM roles, RDS DB instances, and to provide those instances and configure those resources to work together reducing the manual effort.
• Experience in deploying and monitoring microservices on Kubernetes, AWS ECS, and AWS EKS
• Security aware and ensures that all systems are security standards-compliant.
• Good background in Linux/Unix administration.
• Experience with building or maintaining cloud-native applications.
• Minimum 3-5 years of cloud development experience, preferably AWS
• Experience with CI/CD tools like Jenkins preferred.
• Good analytical and communication skills
• Bachelor’s Degree in Computer Science, Engineering or a related technical discipline