Custom Software Engineer

We Love AI Jobs; Pune District; On-site; INR 1,080,000 - 1,320,000; Full time

Job summary

Accenture Federal Services in Pune seeks a Custom Software Engineer with 5+ years of Infra/DevOps experience to design, deploy, and automate secure, scalable cloud infrastructure on Microsoft Azure. You will build CI/CD pipelines and IaC using ARM/Bicep, Terraform, and related tools while collaborating with AI/ML and security teams.

The role is on-site in Pune, requires strong scripting (PowerShell, YAML) and hands-on work with Kubernetes, Docker, GitLab CI/CD, and Azure DevOps to support AI

Qualifications

• Minimum 5 years of experience in infrastructure/DevOps.
• Strong Azure DevOps and Terraform IaC experience.
• Experience with ARM/Bicep templates.
• Experience with Kubernetes and Docker.
• Experience with GitLab CI/CD.
• Programming skills in PowerShell, YAML, Java/Scala/Python.

Responsibilities

• Lead infra design, deployment, and automation.
• Collaborate with development, data science, and security teams.
• Ensure operational efficiency, security, and compliance.
• Drive IaC with ARM/Bicep templates.
• Troubleshoot and optimize performance across cloud environments.
• Monitor and maintain cloud services and network reliability.
• Support AI/ML workloads and deployment pipelines on Azure ML.

Skills

Azure

DevOps

CI/CD

Education

15 years full time education

Tools

Terraform

GitLab CI/CD

ARM/Bicep

Kubernetes

Docker

Ansible

PowerShell

Job description

# Custom Software EngineerAccenture Federal ServicesPuneFull-timeAI tools:Azure MLUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role designs and operates cloud infrastructure and deployment pipelines, primarily on Microsoft Azure. You’ll collaborate with development, data science, and security teams and help support AI/ML workloads and enterprise services.* Full-time* On-site* 5+ years* 15 years of full-time education### Skills and expertiseMicrosoft Azure DevOpsTerraformGitLab CI/CDARM/BicepKubernetesDockerAnsiblePowerShell### Key responsibilities* Design, deploy, and automate secure, scalable cloud infrastructure.* Build CI/CD pipelines and infrastructure-as-code practices using Azure and related tools.* Monitor and troubleshoot cloud services, supporting AI/ML workloads and deployment pipelines.## How this job comparesCompared with 522 open senior infrastructure jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 522 open senior infrastructure jobs at 190 companies.Remote work: This job is on site. 111 of the 522 senior infrastructure jobs (21%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The core work is cloud infrastructure and DevOps, but the posting specifically includes supporting AI/ML workloads and deployment pipelines on Azure ML. That makes regular interaction with AI systems likely, though model development is not the role’s focus.## Full descriptionProject Role : Custom Software EngineerProject Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.Must have skills : Microsoft Azure DevOpsGood to have skills : KubernetesMinimum 5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: As an Infrastructure DevOps Engineer, you will be responsible for designing, implementing, and maintaining secure, scalable, and automated cloud infrastructure. You will play a critical role in enabling continuous integration and deployment pipelines, monitoring systems, and ensuring high availability and performance of AI/ML platforms and enterprise services.Roles & Responsibilities:- Lead infrastructure design, deployment, and automation- Collaborate with development, data science, and security teams- Ensure operational efficiency, security, and compliance- Drive infrastructure-as-code practices using ARM/Bicep templates- Troubleshoot and optimize performance across cloud environments- Monitor and maintain cloud services and network reliability- Support AI/ML workloads and deployment pipelines on Azure MLProfessional & Technical Skills:- High proficiency in provisioning and managing Azure services using Terraform IaC.- High proficiency in writing automation scripts and building CI/CD pipelines in Gitlab.- Programming skills on ARM,Terraform, Ansible, PowerShell, YAML , understanding of programming constructs (Java/Scala/Python).- Experience configuring storage accounts and clusters, and security, good knowledge on Docker and Kubernetes to manage microservices, exposure on Data Lake and Azure Databricks would be an added advantage- A proven track of work experience in cloud deployments (MS Azure preferred) in an agile SDLC environment, leveraging modern programming languages & DevOps.Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure DevOps.- This position is based at our Pune office.- A 15 years full time education is required.15 years full time education