Software Engineer - Infrastructure

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 4+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are seeking a skilled DevOps Service Desk Specialist to join our global DevOps team. As a DevOps Service Desk Specialist, you will be responsible for managing service desk operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing 24/7 support for critical application environments for industry leaders in the automotive industry. 

Responsibilities:

Incident Management: Monitor and respond to tickets raised by the DevOps team or end-users. 

Support users with prepared troubleshooting Maintain detailed incident logs, track SLAs, and prepare root cause analysis reports.

Change & Problem Management: Support scheduled changes, releases, and maintenance activities. Assist in identifying and tracking recurring issues. 

Documentation & Communication: Maintain process documentation, runbooks, and knowledge base articles. Provide regular updates to stakeholders on incidents and resolutions. 

On-Call Duty: staffing of a 24/7 on-call service, handling of incidents outside normal office hours, escalation to and coordination with the onsite team, customers and 3rd parties where necessary.

Tool & Platform Support: Manage and troubleshoot CI/CD tools (e.g., Jenkins, GitLab), container platforms (e.g., Docker, Kubernetes), and cloud services (e.g., AWS, Azure).

Requirements:

Technical experience in Java Enterprise environment as developer or DevOps specialist.

Familiarity with DevOps principles and ticketing tools like ServiceNow.

Strong analytical, communication, and organizational abilities. Easy to work with.

Strong problem-solving, communication, and ability to work in a fast-paced 24/7 environment.

Optional: Experience with our relevant business domain (Automotive industry). Familiarity with IT process frameworks SCRUM, ITIL. 

Skills & Requirements

Java Enterprise, DevOps, Service Desk, Incident Management, Change Management, Problem Management, System Monitoring, Troubleshooting, Automation Workflows, CI/CD, Jenkins, GitLab, Docker, Kubernetes, AWS, Azure, ServiceNow, Root Cause Analysis, Documentation, Communication, On-Call Support, ITIL, SCRUM, Automotive Industry.

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

Company - Apptware Solutions

Location Baner Pune

Team Size - 130+

Job Description -

Cloud Engineer with 8+yrs of experience

Roles and Responsibilities

● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud

● Experience maintaining and deploying highly-available, fault-tolerant systems at scale

● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)

● Practical experience with Docker containerization and clustering (Kubernetes/ECS)

● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)

● Version control system experience (e.g. Git)

● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)

● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)

● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)

● Bachelor's or master’s degree in CS, or equivalent practical experience

● Effective communication skills

● Hands-on cloud providers like MS Azure and GC

● A sense of ownership and ability to operate independently

● Experience with Jira and one or more Agile SDLC methodologies

● Nice to Have:

○ Sensu and Graphite

○ Ruby or Java

○ Python or Groovy

○ Java Performance Analysis

Role: Cloud Engineer

Industry Type: IT-Software, Software Services

Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent

Role Category: Programming & Design

Task:

• Need to run our software products in different international environments (on premise and cloud providers)
• Support the developers while debugging issues
• Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system
• Integrate new technologies to support our products while growing in the market
• Develop Continuous Integration and Continuous Deployment Pipelines
• Maintain our on premise hosted servers and applications, like operating system upgrades, software upgrades, introducing new database versions etc.
• Automation of task to reduce amount of human errors and parallelize work

We wish:

• Basic OS knowledge (Debian, CentOS, Suse Enterprise Linux)
• Webserver administration and optimization (Apache, Traefik)
• Database administration and optimization (Mysql/MariaDB, Oracle, Elasticsearch)
• jvm administration and optimization application server administration and optimization (Servicemix, Karaf, Glassfish, Springboot)
• Scripting experience (Perl, Python, PHP, Java)
• Monitoring experience (Icinga/Nagios, Appdynamics, Prometheus, Grafana)
• Knowledge container management (Docker/ContainerD, DC/OS, Kubernetes)
• Experience with automatic deployment processes (Ansible, Gitlab-CI, Helm)
• Define and optimize processes for system maintenance, continuous integration, and continuous delivery
• Excellent communication skill & proficiency in English is necessary
• Leadership skill with team motivational approach
• Good Team player

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.

Your Contact for this position is Janki Raval .

Would you like to become part of this highly innovative, dynamic, and exciting world?

We look forward to your expressive Resume.

Roles & Responsibilities :

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.

Required Skills :

• 5+ years of professional experience developing and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast-paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops