DevOps Engineer

Job Title : Mobile DevOps Engineer

Experience : 5+ Years

Location : Nashik / Pune (Remote – Initial 1 Week Onsite in Nashik)

Job Summary :

We are looking for a Mobile DevOps Engineer with expertise in building and maintaining CI/CD pipelines for iOS and Android applications. The ideal candidate will have hands-on experience with mobile build automation, release management, Azure DevOps, and cloud-based DevOps practices to enable faster, secure, and reliable mobile application delivery.

Mandatory Skills :

Azure DevOps, Mobile CI/CD (iOS & Android), Fastlane/Bitrise/Codemagic, GitHub, Xcode, Gradle, App Store & Google Play release automation, YAML Pipelines, GitHub Actions, Docker, Shell/Python scripting, Mobile DevSecOps, Firebase Crashlytics/Sentry, Agile/Scrum.

Key Responsibilities :

• Design, implement, and maintain CI/CD pipelines for iOS and Android applications.
• Automate build, testing, code signing, and deployment processes.
• Manage app releases on Google Play Store and Apple App Store.
• Configure and maintain Azure DevOps pipelines, GitHub workflows, and release automation.
• Integrate automated testing, security scanning, and quality gates into CI/CD pipelines.
• Monitor build performance, troubleshoot pipeline issues, and optimize release processes.
• Collaborate with Mobile, QA, Backend, and Product teams to streamline delivery.
• Maintain DevOps documentation, release procedures, and deployment best practices.
• Explore AI-powered development tools to improve automation and developer productivity.

Required Skills :

• 5+ years of experience in DevOps, Infrastructure, or Software Engineering.
• 2+ years of hands-on experience with Mobile CI/CD (iOS & Android).
• Strong experience with Azure DevOps, GitHub, Fastlane, Bitrise, Codemagic, or similar tools.
• Solid knowledge of Xcode, Gradle, code signing, provisioning profiles, and keystores.
• Experience with Google Play Store and Apple App Store release automation.
• Familiarity with YAML pipelines, GitHub Actions, Shell/Python scripting, and Docker.
• Knowledge of mobile testing frameworks, DevSecOps practices, and monitoring tools such as Firebase Crashlytics, Sentry, or Datadog.
• Understanding of Agile/Scrum methodologies and strong collaboration skills.

Preferred Skills :

• Experience with Flutter, React Native, or native mobile development.
• Exposure to Azure Cloud services.
• Familiarity with AI-assisted development tools and automation.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

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.

Role & Responsiblities

• DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
• Create and support advanced pipelines using Gitlab.
• Create and support advanced container and serverless environments.
• Deploy Cloud infrastructure using Terraform and cloud formation templates.
• Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
• Troubleshoot containerized builds and deployments
• Implement processes and automations for migrating between OpenShift, AKS and EKS
• Implement CI/CD automations.
• 
  

Required Skillsets

• 3-5 years of cloud-based architecture software engineering experience.
• Deep understanding of Kubernetes and its architecture.
• Mastery of cloud security engineering tools, techniques, and procedures.
• Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
• Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
• Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
• Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
• Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
• Proven track record in cloud computing systems and enterprise architecture and security

About the role:

We are seeking a highly skilled Azure DevOps Engineer with a strong background in backend development to join our rapidly growing team. The ideal candidate will have a minimum of 4 years of experience and has have extensive experience in building and maintaining CI/CD pipelines, automating deployment processes, and optimizing infrastructure on Azure. Additionally, expertise in backend technologies and development frameworks is required to collaborate effectively with the development team in delivering scalable and efficient solutions.

Responsibilities

• Collaborate with development and operations teams to implement continuous integration and deployment processes.
• Automate infrastructure provisioning, configuration management, and application deployment using tools such as Ansible, and Jenkins.
• Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD)
• Develop and maintain build and deployment pipelines, ensuring that they are scalable, secure, and reliable.
• Monitor and maintain the health of the production infrastructure, including load balancers, databases, and application servers.
• Automate the software development and delivery lifecycle, including code building, testing, deployment, and release.
• Familiarity with Azure CLI, Azure REST APIs, Azure Resource Manager template, Azure billing/cost management and the Azure Management Console
• Must have experience of any one of the programming language (Java, .Net, Python )
• Ensure high availability of the production environment by implementing disaster recovery and business continuity plans.
• Build and maintain monitoring, alerting, and trending operational tools (CloudWatch, New Relic, Splunk, ELK, Grafana, Nagios).
• Stay up to date with new technologies and trends in DevOps and make recommendations for improvements to existing processes and infrastructure.
• ontribute to backend development projects, ensuring robust and scalable solutions.
• Work closely with the development team to understand application requirements and provide technical expertise in backend architecture.
• Design and implement database schemas.
• Identify and implement opportunities for performance optimization and scalability of backend systems.
• Participate in code reviews, architectural discussions, and sprint planning sessions.
• Stay updated with the latest Azure technologies, tools, and best practices to continuously improve our development and deployment processes.
•  
• Mentor junior team members and provide guidance and training on best practices in DevOps.

Required Qualifications

• BS/MS in Computer Science, Engineering, or a related field
• 4+ years of experience as an Azure DevOps Engineer (or similar role) with experience in backed development.
• Strong understanding of CI/CD principles and practices.
• Expertise in Azure DevOps services, including Azure Pipelines, Azure Repos, and Azure Boards.
• Experience with infrastructure automation tools like Terraform or Ansible.
• Proficient in scripting languages like PowerShell or Python.
• Experience with Linux and Windows server administration.
• Strong understanding of backend development principles and technologies.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.
• Experience with industry frameworks and methodologies: ITIL/Agile/Scrum/DevOps
• Excellent problem-solving, critical thinking, and communication skills.
• Have worked in a product based company.

What we offer:

• Competitive salary and benefits package
• Opportunity for growth and advancement within the company
• Collaborative, dynamic, and fun work environment
• Possibility to work with cutting-edge technologies and innovative projects

• Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
• Good experience on Build and release process and extensively involved in the CICD using

Jenkins

• Experienced on configuration management tools like Ansible.
• Designing, implementing and supporting fully automated Jenkins CI/CD
• Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
• Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
• Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Good knowledge in version control system in Git and GitHub.
• Good experience in build tools
• Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest

1. GCP Cloud experience mandatory
2. CICD - Azure DevOps
3. IaC tools – Terraform
4. Experience with IAM / Access Management within cloud
5. Networking / Firewalls
6. Kubernetes / Helm / Istio