![MoreYeahs's logo](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fdefault_company_picture.jpg&w=3840&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fmachine_learning.png&w=32&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fpython.png&w=32&q=75)
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
![companies logos](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fhiring_companies_logos-v2.webp&w=3840&q=80)
About MoreYeahs
Similar jobs
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fpython.png&w=32&q=75)
What the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
- Implementation of installations of the solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
Responsibilities
● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,
scalable & are of high quality.
● Build and/or operate platforms that are highly available, elastic, scalable, operable and
observable.
● Build/Adapt and implement tools that empower the TI AI engineering teams to
self-manage the infrastructure and services owned by them.
● You will identify, articulate, and lead various long-term tech vision, strategies,
cross-cutting initiatives and architecture redesigns.
● Design systems and make decisions that will keep pace with the rapid growth of TI AI.
● Document your work and decision-making processes, and lead presentations and
discussions in a way that is easy for others to understand.
● Available for on-call during emergencies to handle and resolve problems in a quick and
efficient manner.
Requirements
● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and
Kubernetes or similar infrastructure platforms. (preferably AWS)
● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test
everything, proactive monitoring etc).
● Experience in building and operating distributed systems.
● Understanding of operating systems, virtualization, containerization and networks
preferable
● Hands-on coding on any of the languages like Python or GoLang.
● Familiarity with software engineering practices including unit testing, code reviews, and
design documentation.
● Strong debugging and problem-solving skills Curiosity about how things work and love to
share that knowledge with others.
Benefits :
● Work with a world class team working on a very forward looking problem
● Competitive Pay
● Flat hierarchy
● Health insurance for the family
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
The ideal person for the role will:
Possess a keen mind for solving tough problems by partnering effectively with various teams and stakeholders
Be comfortable working in a fast-paced, dynamic, and agile framework
Focus on implementing an end-to-end automated chain
Responsibilities
_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
Identify systems that can benefit from automation, monitoring and infrastructure-as-code and develop and scale products and services accordingly.
Implement sophisticated alerts and escalation mechanisms using automated processes
Help increase production system performance with a focus on high availability and scalability
Continue to keep the lights on (day-to-day administration)
Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
Establish SLAs for service uptime, and build the necessary telemetry and alerting platforms to enforce them
Architect and build continuous data pipelines for data lakes, Business Intelligence and AI practices of the company
Remain up to date on industry trends, share knowledge among teams and abide by industry best practices for configuration management and automation.
Qualifications and Background
_______________________________________________________
Graduate degree in Computer Science and Engineering or related technologies
Work or research project experience of 5-7 years, with a minimum of 3 years of experience directly related to the job description
Prior experience working in HIPAA / Hi-Trust frameworks will be given preference
About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fflask.png&w=32&q=75)
About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
Implement DevOps capabilities in cloud offerings using CI/CD toolsets and automation
Defining and setting development, test, release, update, and support processes for DevOps
operation
Troubleshooting techniques and fixing the code bugs
Coordination and communication within the team and with client team
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
Pre-requisite skills required:
Experience working on Linux based infrastructure
Experience of scripting in at-least 2 languages ( Bash + Python / Ruby )
Working knowledge of various tools, open-source technologies, and cloud services
Experience with Docker, AWS ( ec2, s3, iam, eks, route53), Ansible, Helm, Terraform
Experience with building, maintaining, and deploying Kubernetes environments and
applications
Experience with build and release automation and dependency management; implementing
CI/CD
Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
![Intuitive Technology Partners](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fdefault_company_picture.jpg&w=256&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fpython.png&w=32&q=75)
Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems
We are looking for an experienced software engineer with a strong background in DevOps and handling traffic & infrastructure at scale.
Responsibilities :
Work closely with product engineers to implement scalable and highly reliable systems.
Scale existing backend systems to handle ever-increasing amounts of traffic and new product requirements.
Collaborate with other developers to understand & setup tooling needed for - Continuous Integration/Delivery/
Build & operate infrastructure to support website, backend cluster, ML projects in the organization.
Monitor and track performance and reliability of our services and software to meet promised SLA
2+ years of experience working on distributed systems and shipping high-quality product features on schedule
Intimate knowledge of the whole web stack (Front end, APIs, database, networks etc.)
Ability to build highly scalable, robust, and fault-tolerant services and stay up-to-date with the latest architectural trends
Experience with container based deployment, microservices, in-memory caches, relational databases, key-value stores
Hands-on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, RDS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch)
![icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fsearch.png&w=48&q=75)
![companies logos](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fhiring_companies_logos-v2.webp&w=3840&q=80)