
About DevotTED
About
Company Offerings (Your Career Growth with us):
DevotTED is a highly motivated and mission oriented Startup Company (Founded and Funded by NRIs) with a great vision and high projected growth, strongly believe in Solid SEED Team to take the company to the next level who would REAP THE BENEFITS of the growth of the company (Win-Win).
We are designed to scale up and grow exponentially which will benefit the early stage employees along with the company’s growth, both in terms of financial and job positioning.
Connect with the team
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∙Need 8+ years of experience in Devops CICD
∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools
∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks
∙Actively troubleshoot issues that arise during development and production
∙Owning, learning, and deploying SW in support of customer-facing applications
∙Help establish DevOps best practices
∙Actively work to reduce system costs
∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies
∙Actively work with CI/CD, GIT and other component parts of the build and deployment system
∙Leading skills with AWS cloud stack
∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts)
at scale
∙Proven experience with Kubernetes at scale
∙Proven experience with cloud management tools beyond AWS console (k9s, lens)
∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator
∙Solid team player
∙Strong experience with Linux-based infrastructures and AWS
∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others
∙Strong knowledge of JavaScript, GIT
∙Agile practitioner
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Role : Senior Engineer Infrastructure
Key Responsibilities:
● Infrastructure Development and Management: Design, implement, and manage robust and scalable infrastructure solutions, ensuring optimal performance,security, and availability. Lead transition and migration projects, moving legacy systemsto cloud-based solutions.
● Develop and maintain applications and services using Golang.
● Automation and Optimization: Implement automation tools and frameworksto optimize operational processes. Monitorsystem performance, optimizing and modifying systems as necessary.
● Security and Compliance: Ensure infrastructure security by implementing industry best practices and compliance requirements. Respond to and mitigate security incidents and vulnerabilities.
Qualifications:
● Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
● Good understanding of prominent backend languageslike Golang, Python, Node.js, or others.
● In-depth knowledge of network architecture,system security, infrastructure scalability.
● Proficiency with development tools,server management, and database systems.
● Strong experience with cloud services(AWS.), deployment,scaling, and management.
● Knowledge of Azure is a plus
● Familiarity with containers and orchestration services,such as Docker, Kubernetes, etc.
● Strong problem-solving skills and analytical thinking.
● Excellent verbal and written communication skills.
● Ability to thrive in a collaborative team environment.
● Genuine passion for backend development and keen interest in scalable systems.
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Numerator is looking for an experienced, talented and quick-thinking DevOps Manager to join our team and work with the Global DevOps groups to keep infrastructure up to date and continuously advancing. This is a unique opportunity where you will get the chance to work on the infrastructure of both established and greenfield products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience. As a member of the Numerator DevOps Engineering team, you will make an immediate impact as you help build out and expand our technology platforms from on-premise to the cloud across a wide range of software ecosystems. Many of your daily tasks and engagement with applications teams will help shape how new projects are delivered at scale to meet our clients demands. This role requires a balance between hands-on infrastructure-as-code deployments with application teams as well as working with Global DevOps Team to roll out new initiatives. What you will get to do
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Requirements |
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Nice to have
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Job Brief:
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Location:
Pune.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
Requirements
You will make an ideal candidate if you have:
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Experience of building a range of Services in a Cloud Service provider
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Expert understanding of DevOps principles and Infrastructure as a Code concepts and techniques
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Strong understanding of CI/CD tools (Jenkins, Ansible, GitHub)
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Managed an infrastructure that involved 50+ hosts/network
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3+ years of Kubernetes experience & 5+ years of experience in Native services such as Compute (virtual machines), Containers (AKS), Databases, DevOps, Identity, Storage & Security
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Experience in engineering solutions on cloud foundation platform using Infrastructure As Code methods (eg. Terraform)
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Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
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Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
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Good leadership and teamwork skills - Works collaboratively in an agile environment
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Operational effectiveness - delivers solutions that align to approved design patterns and security standards
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Excellent skills in at least one of following: Python, Ruby, Java, JavaScript, Go, Node.JS
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Experienced in full automation and configuration management
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A track record of constantly looking for ways to do things better and an excellent understanding of the mechanism necessary to successfully implement change
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Set and achieved challenging short, medium and long term goals which exceeded the standards in their field
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Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
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Built effective networks across business areas, developing relationships based on mutual trust and encouraging others to do the same
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A successful track record of delivering complex projects and/or programmes, utilizing appropriate techniques and tools to ensure and measure success
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A comprehensive understanding of risk management and proven experience of ensuring own/others' compliance with relevant regulatory processes
Essential Skills :
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Demonstrable Cloud service provider experience - infrastructure build and configurations of a variety of services including compute, devops, databases, storage & security
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Demonstrable experience of Linux administration and scripting preferably Red Hat
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Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools
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Experience working within an Agile environment
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Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Node.JS
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Server administration (either Linux or Windows)
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Automation scripting (using scripting languages such as Terraform, Ansible etc.)
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Ability to quickly acquire new skills and tools
Required Skills :
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Linux & Windows Server Certification
Cloud Software Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Roles and Responsibilities
· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms
· Apply continuous delivery practices to deliver high-quality software and value as early as possible.
· Work in collaborative teams to build new experiences
· Participate in the entire cycle of software consulting and delivery from ideation to deployment
· Integrating multiple software products across cloud and hybrid environments
· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud
· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices
Desired Candidate Profile : *** freshers can also apply ***
· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.
· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.
· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.
· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives
· Driven to develop technical skills for oneself and team-mates
· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.
· Possess at least one cloud-related certification from AWS, Azure, or equivalent
· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns
· Past experience quickly learning new languages and frameworks
· Ability to work with a high degree of autonomy and self-direction
http://www.banyandata.com" target="_blank">www.banyandata.com
- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
Required Key Skills :
- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L
Job Description
- Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
- Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
- Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
- Expert Knowledge in - Git, Jenkins
- Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
- Good working knowledge with scripting languages such as Python, php
- Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field









