Software Consultant - DevOps

Application Deadline: 30 April 2026

Department: Development

Location: Pune, India

Description

ParentPay Group is Europe's leading software product company and the UK's largest education technology business. We are on a mission to bring next-generation innovation to positively impact on the lives of millions of parents, teachers, and students every day in over 49 countries.

Our market leading products use cutting edge cloud-based technology to streamline school processes, including secure web and mobile apps that enable secure online payments for school items such as meals, trips, clubs and uniform, improve parental engagement, simplify meal management and - through our product SIMS - collect and manage a database of student information and core school operations.

ParentPay Group's new offices in Pune are a fantastic tech hub for those looking to boost their careers in software product development.

Our bright team FastTrack their career with international exposure and ways of working based on agile development best practices from globally renowned technology consultancies.

Key Responsibilities

• Getting code into production: Ability to get code of all typesincluding new features, configuration changes, bug fixes, and experimentsinto production, or into the hands of users, safely and quickly in a sustainable way.
• Application runtimes: Ability to analyze, provision, configure, secure, troubleshoot, optimize, and maintain systems for deploying and running software.
• Cloud ecosystem: Ability to analyze, provision, configure, secure, troubleshoot, optimize, and maintain systems for managing infrastructure on IaaS and related cloud, virtualization, and dynamic hardware management systems.
• Deployment Automation: Ability to design and implement processes to package, deploy, and configure application software. This includes build tools, packaging formats for servers, containers, and mobile.
• Infrastructure as code: Ability to analyze, design, implement, optimize, and troubleshoot code used to manage IaaS and related dynamic infrastructure. Cloud management automation, image build management, cloud programming APIs, and automated infrastructure testing.
• Networking administration: Ability to analyze, provision, configure, secure, troubleshoot, optimize, and maintain networking. Includes network protocols, physical and virtual networking and constructs for data centers and cloud platforms, as well as networking security.
• Observability: The ability to analyze, design, implement, optimize, and troubleshoot monitoring, logging, metrics, alerting, and observability services.
• Performance and scalability engineering: Ability to assess, recommend, design, implement, optimize, and troubleshooting measures to ensure systems perform as needed. This includes responsiveness, coping with traffic load, coping with large data sets, and processing times.
• Securing infrastructure: Ability to design and implement infrastructure which exhibits good security properties. Able to provision security services in order in order to, for example secure data at rest and in transit.
• System administration: Ability to analyze, provision, configure, secure, troubleshoot, optimize, and maintain one or more server operating systems. Includes different operating systems, compute types, account management, service management, package management, configuration management tools, shells and scripting languages, securing operating systems, and server testing tools.
• Vulnerability testing: Ability to perform manual exploratory testing for vulnerabilities in both applications and infrastructure and show how to mitigate. Incident response: Ability to assist a delivery team in the event of a data breach or security incident.
• Infrastructure testing: Ability to assess, recommend, plan, design, implement, optimize, and troubleshooting measures to validate infrastructure is implemented correctly. This includes an awareness of patterns, practices, and forces relevant to infrastructure testing.
• Estimation: Ability to apply various estimation techniques to predict the most realistic amount of effort required to develop or maintain software based on incomplete, uncertain and noisy input.
• Evolutionary Architecture: guides the technical decisions that shape an architecture over time with the goal of improving along multiple prioritized business and technology dimensions simultaneously.
• Performance & Scalability Engineering: assesses, recommends, designs, implements, optimizes, and troubleshoots measures to ensure systems perform as needed. This includes responsiveness, coping with traffic load, coping with large data sets, and processing times.
• Pipeline Design & Automation: analyzes, plans, designs, secures, implements and troubleshoots systems that orchestrate taking software from source code to production. This includes CI and CD systems, source code and artefact repositories, and integration of validation tooling for functional correctness, security, performance.
• Legacy remediation: Ability to operate in or around older systems, and devise and execute strategies for modernizing and improving them. This includes awareness of a range of legacy architectures and the patterns and tactics for the stabilization, remediation or replacement of them. The ability to analyze the technical, business, and operational pain-points of applications and broader systems. Identifying incremental steps towards a future state architecture, including techniques for stabilizing with test harnesses, intercepting and rerouting or duplicating functional and data flows, extraction of services or tiers, wrapping with facades or adapters, refactoring, and strangulation and end-of-life.
• Agile & Lean Principles: guides and champions lean and agile principles for achieving quality, adaptability, speed & alignment. This includes the practices, techniques and tools that support those principles, and an understanding of when things may or may not be applicable in a situation or context.
• Emotional Intelligence: recognizes, understands and manages their own emotions and recognizes, understands, shares and influences the emotions of others.
• Collaboration: works jointly with others to co-create and achieve a common goal. This includes learning, practising and experimenting with tools, techniques and frameworks that foster collaborative working environments.
  
  

Skills, Knowledge and Expertise

• Bachelor's degree in computer science, Engineering, or related field.
• 5+ years of experience as a DevOps Engineer or similar role.
• Strong proficiency in Microsoft Azure cloud services and resource management.
• Expertise in creating and managing CI/CD pipelines using tool Azure DevOps
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Proficient in scripting and automation (PowerShell, Bash, Python, yaml, etc.).
• Hands-on experience with infrastructure as code (Terraform, ARM templates).
• Knowledge of version control systems (Git, SVN).
• Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, App insights etc.).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Certifications (Preferred):
• Microsoft Certified: Azure DevOps Engineer Expert, Azure Administrator etc.