

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

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Requirements:
• Previously help a DevOps Engineer or System Engineer role
• 4+ years of production Linux system admin experience in high traffic environment
• 1+ years of experience with Amazon AWS and related services (instances, ELB,
EBS, S3, etc.) and abstractions on top of AWS.
• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and
security concerns.
• Experience in running Docker and Kubernetes clusters in production.
• Love automating mundane tasks and make developers life easy
• Must be able to code in, at a minimum, Python (or Ruby) and Bash.
• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT
• Agile software development best practices - continuous integration, releases,branches, etc.
• Experience with modern monitoring tools; capacity planning.
• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.
• Self-motivated, fast learner, detail-oriented, team player with a sense of humor
Experience in managing CI/CD using Jenkins.
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Excellent communication skills
Open to work on EST time zone(6pm to 3am)
Technical Skills:
· In depth understanding of DevSecOps process and governance
· Understanding of various branching strategies
· Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.)
· Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc)
· Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP)
· Proficient with Terraform
· Hands on experience working with Kubernetes
· Proficient working with GIT version control
· Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc)
· Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc)
· Hands on experience with GitOps
Azure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
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
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
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
- 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).
Location: Bengaluru
Department: DevOps
We are looking for extraordinary infrastructure engineers to build a world class
cloud platform that scales to millions of users. You must have experience
building key portions of a highly scalable infrastructure using Amazon AWS and
should know EC2, S3, EMR like the back of your hand. You must enjoy working
in a fast-paced startup and enjoy wearing multiple hats to get the job done.
Responsibilities
● Manage AWS server farm Own AWS infrastructure automation and
support.
● Own production deployments in multiple AWS environments
● End-end backend engineering infra charter includes Dev ops,Global
deployment, Security and compliances according to latest practices.
Ability to guide the team in debugging production issues and write
best-of-the breed code.
● Drive “engineering excellence” (defects, productivity through automation,
performance of products etc) through clearly defined metrics.
● Stay current with the latest tools, technology ideas and methodologies;
share knowledge by clearly articulating results and ideas to key decision
makers.
● Hiring, mentoring and retaining a very talented team.
Requirements
● B.S. or M.S in Computer Science or a related field (math, physics,
engineering)
● 5-8 years of experience in maintaining infrastructure system/devops
● Enjoy playing with tech like nginx, haproxy, postgres, AWS, ansible,
docker, nagios, or graphite Deployment automation experience with
Puppet/Chef/Ansible/Salt Stack Work with small, tightly knit product
teams that function cohesively to move as quickly as possible.
● Determination to provide reliable and fault tolerant systems to the
application developers that consume them
● Experience in developing Java/C++ backend systems is a huge plus Be a
strong team player.
Preferred
Deep working knowledge of Linux servers and networked environments
Thorough understanding of distributed systems and the protocols they use,
including TCP/IP, RESTful APIs, SQL, NoSQL. Experience in managing a NoSQL
database (Cassandra) is a huge plus.

Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)
- You have a Bachelor's degree in computer science or equivalent
- You have at least 7 years of DevOps experience.
- You have deep understanding of AWS and cloud architectures/services.
- You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
- You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
- You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
- You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
- You have a track record of delivering successful solutions and collaborating with others.
- You take security into account when building new systems.


