- Collaborate with enterprise architects and IT program managers to enhance existing business applications and facilitate solutions to meet business requirements
- Assist in architecting technical solutions for enterprise systems using the MuleSoft product suite.
- Design patterns for building middleware systems ground up using Message Routing, Content Enrichment, Message Filtering, Message Transformation, Guaranteed delivery, Message sequencing, Batch message processing, error handling and reconciliation mechanisms.
- Knowledge of Web Services Interoperability, WS-* standards and ability to suggest, criticize and formulate solutions in a multi-vendor and architecture committee meetings.
- Identify, analyze and design integration flows using Mule ESB Anypoint Studio and technically own and manage the process of ensuring on time and on budget build and integration of the various elements of the solution
- Good understanding of integration design patterns & best practices
- In depth experience using Agile, Scrum and iterative development practices
- Assist on technical POC's to prove out technology and ultimately leading into selection.

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About the Role
We are looking for a proactive and detail-oriented Senior Site Reliability Engineer (SRE) to ensure the reliability, performance, and availability of our applications. The role involves monitoring production systems, troubleshooting issues, and collaborating with cross-functional teams to drive faster resolution and continuous improvement. You will play a key role in maintaining system stability and enhancing observability across our microservices-based platform.
Key Responsibilities
- Handle MFS application issues by investigating, troubleshooting, and escalating to engineering teams when needed
- Perform initial root cause analysis (RCA) and support resolution of recurring or moderately complex issues
- Ensure timely incident resolution in line with SLAs, including proper documentation of fixes and workarounds
- Identify and analyze system bottlenecks, and assist in deploying fixes via change management processes
- Collaborate with cross-functional teams (Development, SRE/DevOps, QA, Business) to resolve incidents and improve systems
- Use observability tools (Grafana, Loki, ELK) to monitor system health, availability, performance, and resiliency
- Participate in incident/severity calls, ensuring clear communication and coordination
- Develop and maintain knowledge bases, SOPs, and runbooks for standardized operations and troubleshooting
Required Skills & Experience
- Strong understanding of Linux/Unix systems for application support
- Hands-on experience troubleshooting applications in staging and production environments
- Ability to monitor system performance and identify root causes using logs and metrics
- Experience working with Kubernetes and microservices-based architectures
- Proficiency in observability and monitoring tools such as Grafana, Loki, and ELK (Elasticsearch, Logstash, Kibana)
- Familiarity with CI/CD practices and tools (e.g., Jenkins, GitOps)
- Experience in API testing and validation using tools like Postman and Swagger/OpenAPI
- Hands-on experience with PostgreSQL and MongoDB for troubleshooting and ad-hoc reporting
- Experience with ticketing and documentation tools such as Jira and Confluence
- Minimum 4+ years of experience in application support or reliability engineering
Education & Certifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Relevant certifications (Cloud, Kubernetes, Microservices) are a plus
Work Schedule
- Willingness to work in a 24x7 environment, including weekends and on-call rotations
Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.
Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team.
In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts.
This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment.
Requirements
Preferred Technical Qualifications
- 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable).
- Familiarity with container technologies such as Docker and Kubernetes.
- Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
- Programming experience in Python, Java, or another language used in DevOps workflows.
- Understanding of cloud platforms such as AWS, Azure, or GCP
- Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills
Collaboration Skills:
- Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals.
- Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions.
Effective Communication:
- Ability to communicate technical concepts clearly to team members and stakeholders.
- Desire to improve documentation and presentation skills to share ideas effectively.
Problem-Solving Mindset:
- Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments.
- Interest in learning how to diagnose and resolve issues in containerized and
- distributed systems.
Adaptability and Continuous Learning:
- Strong desire to learn emerging DevOps tools and practices in a dynamic environment.
- Commitment to staying updated with trends in cloud computing, DevOps, and
Team-Oriented Approach:
- Enthusiastic about contributing to a collaborative team environment and supporting
- overall project goals.
- Open to feedback and actively sharing knowledge to help the team grow.
Certifications (Optional but Preferred)
- Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation
- certification
- Any beginner-level certifications in DevOps or cloud services are a plus.
- Any AWS Certification
Why Join Aivar?
At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries.
About Diversity and Inclusion
We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics.
Job Description
We are seeking a skilled DevOps Specialist to join our global automotive team. As DevOps Specialist, you will be responsible for managing operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing support for critical application environments for industry leaders in the automotive industry.
Responsibilities:
Daily maintenance tasks on application availability, response times, pro-active incident tracking on system logs and resources monitoring
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.
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:
DevOps Skillset: Logfile analysis /troubleshooting (ELK Stack), Linux administration, Monitoring (App Dynamics, Checkmk, Prometheus, Grafana), Security (Black Duck, SonarQube, Dependabot, OWASP or similar)
Experience with Docker.
Familiarity with DevOps principles and ticket tools like ServiceNow.
Experience in handling confidential data and safety sensitive systems
Strong analytical, communication, and organizational abilities. Easy to work with.
Optional: Experience with our relevant business domain (Automotive / Manufacturing industry, especially production management systems). Familiarity with IT process frameworks SCRUM, ITIL.
Skills & Requirements
DevOps, Logfile Analysis, Troubleshooting, ELK Stack, Linux Administration, Monitoring, AppDynamics, Checkmk, Prometheus, Grafana, Security, Black Duck, SonarQube, Dependabot, OWASP, Docker, CI/CD, Jenkins, GitLab, Kubernetes, AWS, Azure, ServiceNow, Incident Management, Change Management, Problem Management, Documentation, Communication, Analytical Skills, Organizational Skills, SCRUM, ITIL, Automotive Industry, Manufacturing Industry, Production Management Systems.
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
- 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
- 2+ years of hands-on experience as a DevOps engineer
- Strong leadership, communication and interpersonal skills geared to getting things done
- Developing themselves and the talent within their charge – fostering and creating opportunity for the team
- Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
- Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
- Own site stability, performance, capacity planning, DevOps recruitment.
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.







