Senior Software Engineer

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

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.

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Migration, Upgrade, Monitor, and Maintenance of ADS Instance
• Automation using REST API to build Extensions and Custom Reporting
• Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"

• CICD Orchestration tools and other SCM/VC tools

• Microsoft MCSD Application Lifecycle Management certified
• A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
• Good communication skills
• Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
• Visual Studio and the .NET Framework experience is required "

• Administration and Support for Azure DevOps Server/Services
• Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
• Process Template Customization and Deployment model
• Work with the user community to adopt new features, enable new use cases, and help resolve any issues
• Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
• Take the lead in the validation of the application.
• Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
• Manage patches and updates for tooling solutions and related hosting environments including the operating system
• Automate the process for Maintenance"

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles

Total Experience: 6 – 12 Years

Required Skills and Experience 

• 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
• Building and running Docker images and deployment on Amazon ECS
• Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
• Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
• Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
• Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
• Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
• Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
• Understanding of IAM, RBAC, NACLs, and KMS
• Good communication skills

Good to have:

• Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
• Knowledge of database administration such as MongoDB.
• Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

• Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
• Establish and promote DevOps thinking, guidelines, best practices, and standards.
• Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs 

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead ( and/or CTO ) to identify and establish DevOps practices in the company.

You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

Responsibilities

• Implement and own the CI.
• Manage CD tooling.
• Implement and maintain monitoring and alerting.
• Build and maintain highly available production systems.

Qualification- B.tech in IT