Senior Devops Engineer

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

Job Description

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/Deployment practices.

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

You are the right fit if you have:

1+ years of experience working on distributed systems and shipping high-quality product features on

schedule

Experience with Python including Object Oriented programming

Container administration and development utilizing Kubernetes, Docker, Mesos, or similar

Infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar

Knowledge of cloud compute technologies, network monitoring

Experience with Cloud Orchestration frameworks, development and SRE support of these systems

Experience with CI/CD pipelines including VCS (git, svn, etc), Gitlab Runners, Jenkins

Working with or supporting production, test, and development environments for medium to large user

environments

Installing and configuring application servers and database servers

Experience in developing scripts to automate software deployments and installations

Experience in a 247 high-availability production environmentAbility to come with best solution by capturing big picture instead of focusing on minor details. Root

cause analysis

Mandatory skills: Shell/Bash Scripting, Unix, Linux, Dockers, Kubernetes, AWS, Jenkins, GIT

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.