Site Reliability Engineer/DevOps

We are looking for QA role who has experience into Python ,AWS,and chaos engineering tool(Monkey,Gremlin)

⦁ Strong understanding of distributed systems

• Cloud computing (AWS), and networking principles. 
• Ability to understand complex trading systems and prepare and execute plans to induce failures
• Python. 
• Experience with chaos engineering tooling such as Chaos Monkey, Gremlin, or similar

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

Key Responsibilities:

• Design, develop,  implement and evolve our backend platform (whose APIs and functionality provided are used by other game services, apps, and admin back office)
• Develop highly efficient, robust, quality code for applications and services
• Maintain clean coding practices
• Enhancing and supporting existing functions, some of which are 24/7
• Supporting product owners as required
• Providing support to the testing team during testing phases of the projects
• Contributing to solution proposals as required
• Creating work effort estimates as required
• Mentor, train on the best practices junior software associates and other team members.

• Clean coding practices
• Knowledge of scalable web architectures is required
• A solid understanding of Linux, JVM is required
• Knowledge of DevOps, Docker, Build Pipelines is good to have
• Knowledge of git workflow is essential
• Working with SOA, Microservices.

Any specific knowledge / experience:

• Functional programming experience with immubtable datastructures is required
• Knowledge of Erlang / Elixir is a plus.
• Knowledge of Clojure is perfect

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

• Experience in leading a software team and managing software delivery project.
• Strong experience in Python development in a full stack environment is a requirement, including , Flask
• Strong Hands-on with VueJS/Vuex, JavaScript, React, Angular · Experience with SQLAchemy or similar ORM frameworks
• Experience working with mapping APIs (e.g., Google Maps, Mapbox) · Experience using Elasticsearch and docker environment is a plus
• Strong knowledge of SQL, comfortable working with MySQL and/or PostgreSQL databases
• Understands concepts of Data Modeling
• Experience with REST.
• Experience with Git, GitFlow, code review process
• Good understand with basic UI and UX principles
• Must enjoy problem solving and have excellent communication skills