SRE DevOps Engineer

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Required Qualifications

● Experience:

○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with

proven expertise in building and customizing Helm charts from scratch (not just

using pre-existing ones).

○ Demonstrated ability to design and whiteboard DevOps pipelines, including

CI/CD workflows for microservices applications.

○ Experience packaging and deploying applications with stateful dependencies

(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped

and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.

○ Proficiency in managing deployments in Kubernetes clusters, including offline

installations, upgrades via Helm, and adaptations for client restrictions (e.g., no

additional tools or VMs).

○ Track record of handling client interactions, such as asking probing questions

about infrastructure (e.g., OS versions, storage solutions, network restrictions)

and explaining technical concepts clearly.

● Technical Skills:

○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,

subcharts, dependency management).

○ Expertise in containerization with Docker, including image management

(save/load, registries like Harbor or ECR).

○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and

GitOps for automated and manual deployments.

○ Understanding of storage solutions for on-prem and cloud, including object/file

storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).

○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,

namespaces, HPA, liveness/readiness probes, network policies, and RBAC.

○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via

SDN, differences from private clouds), bare metal vs. virtual machines

(advantages like resource efficiency, flexibility, and scalability).

○ Ability to work in air-gapped environments, preparing offline artifacts and

ensuring self-contained deployment

Primary Skills:

Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS

Additional Skills Required:

• Should have experience working with Jenkins, Git, Gerrit
• Should have Good understanding of AWS Security and execution.
• Should have Good python skills
• Should have experience of working with GIT, Gerrit, Jira, Confluence,
• Exposure to messaging systems Rabbit MQ
• Exposure to Html, Groovy, Javascript, shell scripting
• Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
• Exposure to Android skills.
• Should have experience in working with cloud-native architecture.
• Experience with log stash and elastic search
• Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
• Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
• Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation

Key Responsibilities:

• Perform a Technical Lead role for DevOPs development and support teams.
• Need to communicate & coordinate with both offshore and onsite teams
• Should translate business requirements into project plans and workable item/activities
• Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
• Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
• Understand the current applications and technical architecture and improvise them as needed.
• Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

Hands on Experience with Linux administration

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with  Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.

Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).

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

We are looking for a System Engineer who can manage requirements and data management in Rational Doors and Siemens Polarion. You will be part of a global development team with resources in China, Sweden and the US.

Responsibilities and tasks

1. Import of requirement specifications to DOORS module
   1. Create module structure according to written specification (e-mail, word, etc)
   2. Format: reqif, word, excel, pdf, csv
   3. Make adjustments to data required to be able to import to tool
   4. Review that the result is readable and possible to work with
2. Import of information to new or existing modules in DOORS
   1. Feedback of Compliance status from an excel compliance matrix to a module in DOORS
   2. Import requirements from one module to another based on baseline/filter…
   3. Import lists of items: Test cases, documents, etc in excel or csv to a module
   4. Provide guidance on format to information holder at client
3. Link information/attribute data from one module to others
   1. Status, test results, comment
   2. Link requirements according to information from the client in any given format
4. Export data and reports
   1. Assemble report based on data from one or several modules according to filters/baseline/written requests in any given format
   2. Export statistics from data in DOORS modules
5. Create filters in DOORS modules

Note: Polarion activities same as DOORS activities, but process, results and structure may vary

Requirements – Must list (short, and real must, no order)

• =>10 years of overall experience in Automotive Industry
• Having requirement management experience in the automotive industry.
• =>3 years of experience in Rational Doors as user
• Knowledge in Siemens Polarion, working knowledge is a plus
• Experience in offshore delivery for more than 7 years
• Able to lead a team of 3 to 5 people and manage temporary additions to team
• Having working knowledge in ASPICE and handling requirements according to ASPICE L2
• Experience in setting up offshore delivery that best fits the expectations of the customer
• Experience in setting up quality processes and ways of working
• Experience in metrics management – propose, capture and share metrics with internal/ external stakeholders
• Good Communication skills in English

Requirements - Good to have list, strictly sorted in falling priority order

• Experience in DevOps framework of delivery
• Interest in learning new languages
• Handling requirements according to ASPICE L3
• Willingness in travel, travel to Sweden may be needed (approx. 1-2 per year)

Soft skills

• Candidate must be driving and proactive person, able to work with minimum supervision and will be asked to give example situations incoming interviews.
• Good team player with attention to detail, self-disciplined, able to manage their own time and workload, proactive and motivated.
• Strong sense of responsibility and commitment, innovative thinking.