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About Kanerika:
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.
We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
Awards and Recognitions:
Kanerika has won several awards over the years, including:
1. Best Place to Work 2023 by Great Place to Work®
2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today
3. NASSCOM Emerge 50 Award in 2014
4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture
5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.
Working for us:
Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.
Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.
About the role:
As a DevOps Engineer, you will play a critical role in bridging the gap between development, operations, and security teams to enable fast, secure, and reliable software delivery. With 5+ years of hands-on experience, the engineer is responsible for designing, implementing, and maintaining scalable, automated, and cloud-native infrastructure solutions.
Key Responsibilities:
- 5+ years of hands-on experience in DevOps or Cloud Engineering roles.
- Strong expertise in at least one public cloud provider (AWS / Azure / GCP).
- Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
- Solid experience with Kubernetes and containerized applications.
- Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD).
- Scripting/programming skills in Python, Shell, or Go for automation.
- Hands-on experience with monitoring, logging, and incident management.
- Familiarity with security practices in DevOps (secrets management, IAM, vulnerability scanning).
Employee Benefits:
1. Culture:
- Open Door Policy: Encourages open communication and accessibility to management.
- Open Office Floor Plan: Fosters a collaborative and interactive work environment.
- Flexible Working Hours: Allows employees to have flexibility in their work schedules.
- Employee Referral Bonus: Rewards employees for referring qualified candidates.
- Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
- Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
- Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
- GMC and Term Insurance: Offers medical coverage and financial protection.
- Health Insurance: Provides coverage for medical expenses.
- Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
- Company-sponsored family events: Creates opportunities for employees and their families to bond.
- Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
- Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
- Company-sponsored outings: Organizes recreational activities for employees.
- Gratuity: Provides a monetary benefit as a token of appreciation.
- Provident Fund: Helps employees save for retirement.
- Generous PTO: Offers more than the industry standard for paid time off.
- Paid sick days: Allows employees to take paid time off when they are unwell.
- Paid holidays: Gives employees paid time off for designated holidays.
- Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
- L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
- Mentorship Program: Offers guidance and support from experienced professionals.
- Job Training: Provides training to enhance job-related skills.
- Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
- Promote from Within: Encourages internal growth and advancement opportunities.
Required Skills:
- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
- HAProxy, Nginx, SSH, MySQL configuration and operation experience
- Ability to work seamlessly with software developers, QA, project managers, and business development
- Ability to produce and maintain written documentation

Hiring for one of the product based org for PAN India
Skills required:
Strong knowledge and experience of cloud infrastructure (AWS, Azure or GCP), systems, network design, and cloud migration projects.
Strong knowledge and understanding of CI/CD processes tools (Jenkins/Azure DevOps) is a must.
Strong knowledge and understanding of Docker & Kubernetes is a must.
Strong knowledge of Python, along with one more language (Shell, Groovy, or Java).
Strong prior experience using automation tools like Ansible, Terraform.
Architect systems, infrastructure & platforms using Cloud Services.
Strong communication skills. Should have demonstrated the ability to collaborate across teams and organizations.
Benefits of working with OpsTree Solutions:
Opportunity to work on the latest cutting edge tools/technologies in DevOps
Knowledge focused work culture
Collaboration with very enthusiastic DevOps experts
High growth trajectory
Opportunity to work with big shots in the IT industry
Rules & Responsibilities:
- Design, implement and maintain all AWS infrastructure and services within a managed service environment
- Should be able to work on 24 X 7 shifts for support of infrastructure.
- Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
- Manage the production deployment and deployment automation
- Implement process and quality improvements through task automation
- Institute infrastructure as code, security automation and automation or routine maintenance tasks
- Experience with containerization and orchestration tools like docker, Kubernetes
- Build, Deploy and Manage Kubernetes clusters thru automation
- Create and deliver knowledge sharing presentations and documentation for support teams
- Learning on the job and explore new technologies with little supervision
- Work effectively with onsite/offshore teams
Qualifications:
- Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
- Experience in designing, implementing, and maintaining all AWS infrastructure and services
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
- Hands-on technical expertise in Security Architecture, automation, integration, and deployment
- Familiarity with compliance & security standards across the enterprise IT landscape
- Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
- Solid understanding of AWS IAM Roles and Policies
- Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
- Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
- Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
- Experience in managing and working with the offshore teams
- Familiarity with CI/CD systems such as Jenkins, GitLab CI
- Scripting experience (Python, Bash, etc.)
- AWS, Kubernetes Certification is preferred
- Ability to work with and influence Engineering teams
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery


