
Experience - 2+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus

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Job Summary:
We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.
Responsibilities:
- Deploy, configure, and troubleshoot various infrastructure and application environments
- Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
- Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
- Collaborate with application teams on infrastructure design and issues
- Architect solutions that optimally meet business needs
- Implement CI/CD pipelines and automate deployment processes
- Disaster recovery and infrastructure restoration
- Restore/Recovery operations from backups
- Automate routine tasks
- Execute company initiatives in the infrastructure space
- Expertise with observability tools like ELK, Prometheus, Grafana , Loki
Qualifications:
- Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
- Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
- Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
- Experience in architecting solutions that optimally meet business needs
- Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
- Strong understanding of system concepts like high availability, scalability, and redundancy
- Ability to work with application teams on infrastructure design and issues
- Excellent problem-solving and troubleshooting skills
- Experience with automation of routine tasks
- Good communication and interpersonal skills
Education and Experience:
- Bachelor's degree in Computer Science or a related field
- 5 to 10 years of experience as a DevOps Engineer or in a related role
- Experience with observability tools like ELK, Prometheus, Grafana
Working Conditions:
The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.
Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.
Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=
LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
- Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
- Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
- Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
- Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
- Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
- Define and build processes to identify performance bottlenecks and scaling pitfalls
- Manage robust monitoring and alerting infrastructure
- Explore new tools to improve development operations to automate daily tasks
- Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
- Bachelor’s degree in Computer Science, Information Technology or a related field
- 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
- Strong background in Linux/Unix Administration and Python/Shell Scripting
- Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
- Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
- Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
- Experience in query analysis, peformance tuning, database redesigning,
- Experience in enterprise application development, maintenance and operations
- Knowledge of best practices and IT operations in an always-up, always-available service
- Excellent written and oral communication skills, judgment and decision-making skills.
- Excellent leadership skill.

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –
- Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack
- Building and Scaling on Kubernetes
- Ensuring the Security of Upswing Cloud Infra
- Building Security Checks and automation to improve overall security posture
- Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
- Mentoring people across the teams to enable best practices
- Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure
What will you do if you join us?
- Write a lot of code
- Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org
- Taking Ownership of existing, ongoing, and future initiatives
- Plan Architecture- for upcoming infrastructure
- Build for Scale, Resiliency & Security
- Introduce best practices wrt Devops & Cloud in the team
- Mentor new/junior team members and eventually build your own team
You should have
- Curiosity for on-the-job learning and experimenting with new technologies and ideas
- A strong background in Linux environment
- Must have Programming skills and Experience
- Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
- Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
- Experience in Terraform is highly desirable but not mandatory
- Experience with Kubernetes and Docker is required
- Understanding of the Java Technologies and Stack
- Any other Devops related experience will be considered
knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
We are looking for a DevOps Engineer (individual contributor) to maintain and build upon our next-generation infrastructure. We aim to ensure that our systems are secure, reliable and high-performing by constantly striving to achieve best-in-class infrastructure and security by:
- Leveraging a variety of tools to ensure all configuration is codified (using tools like Terraform and Flux) and applied in a secure, repeatable way (via CI)
- Routinely identifying new technologies and processes that enable us to streamline our operations and improve overall security
- Holistically monitoring our overall DevOps setup and health to ensure our roadmap constantly delivers high-impact improvements
- Eliminating toil by automating as many operational aspects of our day-to-day work as possible using internally created, third party and/or open-source tools
- Maintain a culture of empowerment and self-service by minimizing friction for developers to understand and use our infrastructure through a combination of innovative tools, excellent documentation and teamwork
Tech stack: Microservices primarily written in JavaScript, Kotlin, Scala, and Python. The majority of our infrastructure sits within EKS on AWS, using Istio. We use Terraform and Helm/Flux when working with AWS and EKS (k8s). Deployments are managed with a combination of Jenkins and Flux. We rely heavily on Kafka, Cassandra, Mongo and Postgres and are increasingly leveraging AWS-managed services (e.g. RDS, lambda).
Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.
You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
- Automate infrastructure creation with Terraform, AWS Cloud Formation
- Perform application configuration management, and application-deployment tool enabling infrastructure as code.
- Take ownership of the Build and release cycle of the customer project.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
- Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
- Design the team strategy in collaboration with founders of the organization.
What are we looking for?
- 4+ years of experience in using Terraform for IaaC
- 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
- 4+ years of Linux or Windows Administration experience.
- 4+ years of version control systems (git), including branching and merging strategies.
- 2+ Experience in working with AWS Infrastructure, and platform services.
- 2+ Experience in cloud automation tools (Ansible, Chef).
- Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
- You are extremely proactive at identifying ways to improve things and to make them more reliable.
You will be preferred if
- Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

- AWS Cloud, CICD, Serverless setups, Monitoring Setup
- Performance setup, scalability in hands experience, Linux expertise, DevOps Operations
- AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.








