LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer 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 8 to 10 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
About LogiNext
About
LogiNext is amongst the fastest growing tech company, providing solutions to simplify and automate the ecosphere of logistics and supply chain management. Our aim is to organize the daunting process of logistics and supply chain planning, with an array of SaaS driven by the most robust enterprise solutions globally.
Our clientele is spread across the globe and we empower them to optimize their supply chain operations by unique data capturing, advanced analytics and visualization. From inception, LogiNext has been an industry leader and recipient of awards like NetApp's Innovative Tech Company of the year, Entrepreneur's Logistics Firm of the Year, Aegis's innovation in Big Data, CIO Choice Award for best supply chain logistics cloud solutions, etc.
Backed by influential industry leaders like PayTM and Indian Angel Network and with partners like IBM, Microsoft, Google, AWS and Samsung, LogiNext has achieved exponential success in a very short span of time and is set to exceed 300% growth by the end of 2016. The true growth hackers, who paved way for this success are the people working exceptionally hard and adding value to our organisation. Our brand ambassadors - that's how we address our people, bring unique values, discipline and problem-solving skills to nurture the innovative and entrepreneurial work culture at LogiNext. Passion, versatility, expertise and a hunger for success is the Mantra chanted by every Logi-Nexter!
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Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
Job Description-
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect ML, Cloud
Experience:5-10 years
Client Location: Bangalore
Work Location: Tokyo, Japan (Onsite)
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect (ML, Cloud)
Location: Tokyo, Japan (Onsite)
Experience: 5-10 years
Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.
Key Responsibilities:
Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.
Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.
Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.
Design and optimize algorithms to improve performance, scalability, and reliability of solutions.
Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.
Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.
Contribute to the development of technical documentation and solution roadmaps.
Stay up-to-date with emerging technologies and continuously improve solution design processes.
Required Skills & Qualifications:
5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.
Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).
Solid experience with Kubernetes for container orchestration and deployment.
Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.
Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).
Strong knowledge of scalable architecture design and cloud-native application development.
Familiarity with CI/CD tools and DevOps practices.
Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.
Strong communication and collaboration skills with cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Qualifications:
Experience with microservices and containerization.
Knowledge of distributed systems and high-performance computing.
Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
Familiarity with Agile methodologies and Scrum.
Japanese language proficiency is an added advantage (but not mandatory).
Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
- Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
- Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
- Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
- Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
- Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
- Contribute to the development of technical documentation and roadmaps.
- Stay up-to-date with emerging technologies and propose enhancements to the solution design process.
Key Skills & Requirements:
- Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
- Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
- Solid experience with Kubernetes for container orchestration and deployment.
- Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
- Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
- Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
- Strong experience in designing scalable architectures and applications from the ground up.
- Experience with DevOps and automation tools for CI/CD pipelines.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Skills:
- Experience with microservices architecture and containerization.
- Knowledge of distributed systems and high-performance computing.
- Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
- Familiarity with Agile methodologies and Scrum.
- Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.
Location: Mohali (Work from office)
You can directly Walk-in for an Interview
Requirements :
- Good knowledge of Linux Ubuntu.
- Knowledge of general networking practices/protocols / administrative tasks.
- Adding, removing, or updating user account information, resetting passwords, etc.
- Scripting to ensure operations automation and data gathering is accomplished seamlessly.
- Ability to work cooperatively with software developers, testers, and database administrators.
- Experience with software version control system (GIT) and CI.
- Knowledge of Web server Apache, Nginx etc
- E-Mail servers based on Postfix and Dovecot.
- Understanding of docker and Kubernetes Containers.
- IT hardware, Linux Server, System Admin, Server administrator
Highlights:
- Working 5 days a week.
- Group Health Insurance for our employees.
- Work with a team of 300+ excellent engineers.
- Extra Compensation for Night Shifts.
- Additional Salary for an extra day spent in the office.
- Lunch buffets for all our employees.
- Fantastic Friday meals to dine in for employees.
- Yearly and quarterly awards with CASH amount, Birthday celebration, Dinner coupons etc.
- Team Dinners on Project Completion.
- Festival celebration, Month End celebration.
Open for both Day and Night shifts
IT hardware, Linux Server, System Admin, Docker, Co
Hiring for the below position with one of our premium client
Role: Senior DevOps Engineer
Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
We are a self organized engineering team with a passion for programming and solving business problems for our customers. We are looking to expand our team capabilities on the DevOps front and are on a lookout for 4 DevOps professionals having relevant hands on technical experience of 4-8 years.
We encourage our team to continuously learn new technologies and apply the learnings in the day to day work even if the new technologies are not adopted. We strive to continuously improve our DevOps practices and expertise to form a solid backbone for the product, customer relationships and sales teams which enables them to add new customers every week to our financing network.
As a DevOps Engineer, you :
- Will work collaboratively with the engineering and customer support teams to deploy and operate our systems.
- Build and maintain tools for deployment, monitoring and operations.
- Help automate and streamline our operations and processes.
- Troubleshoot and resolve issues in our test and production environments.
- Take control of various mandates and change management processes to ensure compliance for various certifications (PCI and ISO 27001 in particular)
- Monitor and optimize the usage of various cloud services.
- Setup and enforce CI/CD processes and practices
Skills required :
- Strong experience with AWS services (EC2, ECS, ELB, S3, SES, to name a few)
- Strong background in Linux/Unix administration and hardening
- Experience with automation using Ansible, Terraform or equivalent
- Experience with continuous integration and continuous deployment tools (Jenkins)
- Experience with container related technologies (docker, lxc, rkt, docker swarm, kubernetes)
- Working understanding of code and script (Python, Perl, Ruby, Java)
- Working understanding of SQL and databases
- Working understanding of version control system (GIT is preferred)
- Managing IT operations, setting up best practices and tuning them from time-totime.
- Ensuring that process overheads do not reduce the productivity and effectiveness of small team. - Willingness to explore and learn new technologies and continuously refactor thetools and processes.
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
The AWS Cloud/Devops Engineer will be working with the engineering team and focusing on AWS infrastructure and automation. A key part of the role is championing and leading infrastructure as code. The Engineer will work closely with the Manager of Operations and Devops to build, manage and automate our AWS infrastructure.
Duties & Responsibilities:
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Qualifications:
- At least 1-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Expertise using Chef for configuration management
- Hands-on experience deploying and managing infrastructure with Terraform
- Solid foundation of networking and Linux administration
- Experience with CI-CD, Docker, GitLab, Jenkins, ELK and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Strong bias for action and ownership
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
About the company:
Tathastu, the next-generation innovation labs is Future Group’s initiative to provide a new-age retail experience - combining the physical with digital and enhancing it with data. We are creating next-generation consumer interactions by combining AI/ML, Data Science, and emerging technologies with consumer platforms.
The E-Commerce vertical under Tathastu has developed online consumer platforms for Future Group’s portfolio of retail brands -Easy day, Big Bazaar, Central, Brand factory, aLL, Clarks, Coverstory. Backed by our network of offline stores we have built a new retail platform that merges our Online & Offline retail streams. We use data to power all our decisions across our products and build internal tools to help us scale our impact with a small closely-knit team.
Our widespread store network, robust logistics, and technology capabilities have made it possible to launch a ‘2-Hour Delivery Promise’ on every product across fashion, food, FMCG, and home products for orders placed online through the Big Bazaar mobile app and portal. This makes Big Bazaar the first retailer in the country to offer instant home delivery on almost every consumer product ordered online.
Job Responsibilities:
- You’ll streamline and automate the software development and infrastructure management processes and play a crucial role in executing high-impact initiatives and continuously improving processes to increase the effectiveness of our platforms.
- You’ll translate complex use cases into discrete technical solutions in platform architecture, design and coding, functionality, usability, and optimization.
- You will drive automation in repetitive tasks, configuration management, and deliver comprehensive automated tests to debug/troubleshoot Cloud AWS-based systems and BigData applications.
- You’ll continuously discover, evaluate, and implement new technologies to maximize the development and operational efficiency of the platforms.
- You’ll determine the metrics that will define technical and operational success and constantly track such metrics to fine-tune the technology stack of the organization.
Experience: 4 to 8 Yrs
Qualification: B.Tech / MCA
Required Skills:
- Experience with Linux/UNIX systems administration and Amazon Web Services (AWS).
- Infrastructure as Code (Terraform), Kubernetes and container orchestration, Web servers (Nginx, Apache), Application Servers(Tomcat,Node.js,..), document stores and relational databases (AWS RDS-MySQL).
- Site Reliability Engineering patterns and visibility /performance/availability monitoring (Cloudwatch, Prometheus)
- Background in and happy to work hands-on with technical troubleshooting and performance tuning.
- Supportive and collaborative personality - ability to influence and drive progress with your peers
Our Technology Stack:
- Docker/Kubernetes
- Cloud (AWS)
- Python/GoLang Programming
- Microservices
- Automation Tools
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.