Kubernetes
Docker
Django
Flask
Python
Machine Learning (ML)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Censiusai
About
Connect with the team
Company social profiles
Similar jobs
Kubernetes
Amazon Web Services (AWS)About the Role
We are looking for a DevOps Engineer to build and maintain scalable, secure, and high-
performance infrastructure for our next-generation healthcare platform. You will be
responsible for automation, CI/CD pipelines, cloud infrastructure, and system reliability,
ensuring seamless deployment and operations.
Responsibilities
1. Infrastructure & Cloud Management
• Design, deploy, and manage cloud-based infrastructure (AWS, Azure, GCP)
• Implement containerization (Docker, Kubernetes) and microservices orchestration
• Optimize infrastructure cost, scalability, and performance
2. CI/CD & Automation
• Build and maintain CI/CD pipelines for automated deployments
• Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation
• Implement GitOps practices for streamlined deployments
3. Security & Compliance
• Ensure adherence to ABDM, HIPAA, GDPR, and healthcare security standards
• Implement role-based access controls, encryption, and network security best
practices
• Conduct Vulnerability Assessment & Penetration Testing (VAPT) and compliance
audits
4. Monitoring & Incident Management
• Set up monitoring, logging, and alerting systems (Prometheus, Grafana, ELK,
Datadog, etc.)
• Optimize system reliability and automate incident response mechanisms
• Improve MTTR (Mean Time to Recovery) and system uptime KPIs
5. Collaboration & Process Improvement
• Work closely with development and QA teams to streamline deployments
• Improve DevSecOps practices and cloud security policies
• Participate in architecture discussions and performance tuning
Required Skills & Qualifications
• 2+ years of experience in DevOps, cloud infrastructure, and automation
• Hands-on experience with AWS and Kubernetes
• Proficiency in Docker and CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.)
• Experience with Terraform, Ansible, or CloudFormation
• Strong knowledge of Linux, shell scripting, and networking
• Experience with cloud security, monitoring, and logging solutions
Nice to Have
• Experience in healthcare or other regulated industries
• Familiarity with serverless architectures and AI-driven infrastructure automation
• Knowledge of big data pipelines and analytics workflows
What You'll Gain
• Opportunity to build and scale a mission-critical healthcare infrastructure
• Work in a fast-paced startup environment with cutting-edge technologies
• Growth potential into Lead DevOps Engineer or Cloud Architect roles
Frontend Web Developer Responsibilities
- UI Development: Develop interactive and responsive web applications using React.
- API Integration: Integrate with RESTful APIs to fetch and display data dynamically.
- AI/ML Integration: Collaborate with AI/ML engineers to integrate AI models into the frontend, providing real-time insights and enhancing data-driven features.
- Dashboard Creation: Design and implement dashboards that provide comprehensive overviews of data, powered by AI/ML insights.
- Graph Integration: Utilize libraries like D3.js, Chart.js, Plotly or Recharts to create interactive and visually appealing graphs and charts.
- Data Comparison: Implement features to compare data across different time periods and datasets.
- User Interaction: Implement AI-driven user interaction features such as chatbots, virtual assistants, and recommendation systems.
- State Management: Implement state management solutions using Redux and Context API.
- Collaboration: Work closely with backend developers to ensure seamless API integration and data flow.
- Performance Optimization: Optimize application performance and ensure cross-browser compatibility.
- User Testing: Conduct user testing and gather feedback to improve UI/UX.
- Code Quality: Write clean, maintainable, and efficient code, participate in code reviews, and provide feedback to peers.
- Documentation: Maintain comprehensive documentation for the frontend codebase and components.
- Industry Trends: Stay up-to-date with the latest industry trends and technologies to ensure the application remains current and competitive
DockerKubernetesAmazon Web Services (AWS)
Go Programming (Golang)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.
KubernetesDockerAmazon Web Services (AWS)- Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
- Have enough experience on application and infrastructure architectures
- Design and plan cloud solution architecture
- Design for security, network, and compliances
- Analyze and optimize technical and business processes
- Ensure solution and operational reliability
- Manage and provision cloud infrastructure
- Manage IaaS, PaaS, and SaaS solutions
- Design strategies around cloud governance, migration, Cloud operations and DevOps
- Design highly scalable, available, and reliable cloud applications
- Build and test applications
- Deploy applications on cloud
- Integration with cloud services
Certification:
- Architect level certificate of any cloud (AWS, GCP, Azure)
KubernetesDocker
JenkinsAs 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)
KubernetesDockerPlatform Services Engineer
DevSecOps Engineer
- Strong Systems Experience- Linux, networking, cloud, APIs
- Scripting language Programming - Shell, Python
- Strong Debugging Capability
- AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
- Knowledge on Terraform, Packer, Ansible, Jenkins
- Observability - Prometheus, InfluxDB, Dynatrace,
- Grafana, Splunk • DevSecOps-CI/CD - Jenkins
- Microservices
- Security & Access Management
- Container Orchestration a plus - Kubernetes, Docker etc.
- Big Data Platforms knowledge EMR, Databricks. Cloudera a plus
DockerAmazon Web Services (AWS)- 3+ years experience leading a team of DevOps engineers
- 8+ years experience managing DevOps for large engineering teams developing cloud-native software
- Strong in networking concepts
- In-depth knowledge of AWS and cloud architectures/services.
- Experience within the container and container orchestration space (Docker, Kubernetes)
- Passion for CI/CD pipeline using tools such as Jenkins etc.
- Familiarity with config management tools like Ansible Terraform etc
- Proven record of measuring and improving DevOps metrics
- Familiarity with observability tools and experience setting them up
- Passion for building tools and productizing services that empower development teams.
- Excellent knowledge of Linux command-line tools and ability to write bash scripts.
- Strong in Unix / Linux administration and management,
KEY ROLES/RESPONSIBILITIES:
- Own and manage the entire cloud infrastructure
- Create the entire CI/CD pipeline to build and release
- Explore new technologies and tools and recommend those that best fit the team and organization
- Own and manage the site reliability
- Strong decision-making skills and metric-driven approach
- Mentor and coach other team members
DockerKubernetesAmazon Web Services (AWS)We are looking for a self motivated and goal oriented candidate to lead in architecting, developing, deploying, and maintaining first class, highly scalable, highly available SaaS platforms.
This is a very hands-on role. You will have a significant impact on Wenable's success.
Technical Requirements:
8+ years SaaS and Cloud Architecture and Development with frameworks such as:
- AWS, GoogleCloud, Azure, and/or other
- Kafka, RabbitMQ, Redis, MongoDB, Cassandra, ElasticSearch
- Docker, Kubernetes, Helm, Terraform, Mesos, VMs, and/or similar orchestration, scaling, and deployment frameworks
- ProtoBufs, JSON modeling
- CI/CD utilities like Jenkins, CircleCi, etc..
- Log aggregation systems like Graylog or ELK
- Additional development tools typically used in orchestration and automation like Python, Shell, etc...
- Strong security best practices background
- Strong software development a plus
Leadership Requirements:
- Strong written and verbal skills. This role will entail significant coordination both internally and externally.
- Ability to lead projects of blended teams, on/offshore, of various sizes.
- Ability to report to executive and leadership teams.
- Must be data driven, and objective/goal oriented.
JavaJenkinsDockerOpening for a Java Developer with Devops experience
Experience required: 5 yrs to 10 yrs
Essential Required Skills:
Familiarity with Version Control such as GitHub, BitBucket
- Java programmer(Liferay, Alfresco will add plus point)
- AWS
- OPs(ansible, apache, python, terraform)
- Effective communication skills
- An analytical bent of mind and problem-solving aptitude
- Good time management skills
- Curiosity for learning
- Patience
Roles & Responsibilities:
- Candidate with good hand on exposure on AWS, Cloud, Devops, Ansible, Docker, Jekins.
- Strong proficiency in Linux, Open Source, Web based and Cloud based environments (ability to use open source technologies and tools)
- Strong scripting and automation (bash, Perl, common Linux utils), strong grasp of automation tools a plus.
- Strong debugging skills (OS, scripting, Web based technologies), SQL, Java and Database concepts are a plus
- Apache, nginx, git, svn, GNU tools
- Must have exposure on Grep, awk, sed, Git, svn
- Scripting (bash, python)
- API related skills (REST, and any other like google, aws, atlassian)
- Web based technology
- Strong Unix Skills
- Java programmer, Coding (Springboot, Microservices, Liferay, Alfresco will add plus point)
- Proficient in AWS
- Ops (ansible, apache, python, terraform)
Benefits
- Cash Rewards & Recognition on Monthly Basis
- Work-Life Balance (Flexible Working Hours)
- Five-Day Work Week
KubernetesDocker
Elastic SearchPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon