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PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

If Interested kindly share your updated resume on 82008 31681

What we are looking

• You must have experience in Python, including development of microservices using flask/fastapi/sanic.
• You hold knowledge of at least one Python web frameworks
• You have experience in NoSQL databases such as MongoDB
• You are familiar with relational databases and unstructured data.
• You are familiar with some ORM (Object Relational Mapper) libraries.
• You have prior exposure to code versioning tools such as Git.
• You understand fundamental design principles behind a scalable application

Good to have

• Experience in cloud services such as AWS
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Understanding of the threading concepts in Python and multi-process architecture

What you'll do

• Create database schemas that represent and support business processes
• Integrate multiple data sources and databases into one system.
• Develop and integrate RESTful APIs and services for business use cases
• Perform unit and integration tests on developed modules

• Drive development and delivery of top notch technology solutions to clients efficiently.
• Lead development of implementation plan, logic and modules to embed in client solutions and client discussion ready documents /presentations.
• Lead in designing, implementing, maintaining and updating applications that are often high-volume and low-latency, required for mission critical systems.
• Lead in refining and improving system stability by continuously refactoring and measuring performance.
• Drive development of actionable, clean, maintainable, testable, reusable, extensible codes, including standardization and automation of processes.
• Provide technical and functional guidance to team members through expert knowledge and hands-on support.
• Manage projects, resource utilization, time schedules and deliveries to clients.
• Proactively drive discussions with stakeholders to understand their business requirements, business context and guide team to provide robust actional solutions.
• Effectively engage with stakeholders – create and nurture and deepen relationships. 
• Ensure positive & creative work-environment, culture of collaborations, speak-up, high level of energy & enthusiasm, curiosity to learn and continuous improvement.
• Inspire, engage, motivate and provide constructive feedback to team members to develop their technical & soft skills and fully support their development aspirations.
• Drive researching and conceptualizing solution approaches, new techniques or solution frameworks and author high quality discussion papers.

Qualifications, Skills and Experiences

• BE / BTech / ME / M Tech in engineering or MCA or similar relevant field.
• 2 to 17 years (Junior, Intermediate, Senior Role & we have multiple openings)of relevant hands-on experience and excellent knowledge of Java, Python, SQL, Relational Databases, DB schema or ORM technologies.
• Excellent knowledge and experience of building applications, platforms and services in Java, Python and MS SQL or at least two of them.
• 5 + years of experience of managing projects, team and stakeholders.
• Knowledge and experience of agile methodologies.
• Excellent communication and inter-personal skills.
• Experience of working in a fast-paced environment and make quality decisions in moderately to high ambiguous work environment.
• Previous work experience in financial services, especially, capital markets is preferred.

Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural

Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a

fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute

automations in natural language, with the ability to process and understand domain-specific language.

Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action

happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's

conversational exception handling, powered by Generative AI, allows for quick and easy resolution of

unexpected system errors or business exceptions.

Responsibilities:

- Develop and maintain the backend infrastructure for our applications using Python and AWS Serverless

technologies.

- Collaborate with cross-functional teams to design and implement scalable and robust systems, including

microservices and cloud-based architectures.

- Ensure the reliability, scalability, and performance of the backend systems through monitoring and

optimization.

- Create and maintain database schema and queries to support the application features.

- Write unit and integration tests for the backend code and ensure code quality through code reviews.

- Continuously improve the software development process by incorporating best practices and modern

software development methodologies, such as Agile, DevOps, and CI/CD.

- Investigate and troubleshoot production issues and provide timely solutions to minimize downtime and

ensure smooth operations.

- Participate in architectural discussions and contribute to the development of technical solutions and best

practices.

- Stay up to date with the latest technologies and trends in software development and recommend

improvements to the technology stack to increase efficiency and scalability.

- Work in a fast-paced, collaborative environment with a focus on delivering high-quality software that

meets customer needs.

Required Experience/Skills:

- B.S. or higher degree in Computer Science/Engineering or similar field or equivalent work experience

- 4-20 years of industry experience (or equivalent)

- Proficient in Python programming language

- Experience with modern software development practices and methodologies, including Agile, DevOps,

and Continuous Integration/Continuous Delivery (CI/CD).

- Experience with large-scale distributed systems, microservices, and cloud-based architectures.

- Strong understanding of software design patterns, algorithms, data structures, and database technologies.

- A natural problem solver, with the ability to identify problems and lead the development of a solution.

Looking to hire a single backend engineer who will become a part of the core team, with the track to become a part of the leadership at our company.

Candidate should have worked in startups, possess strong programming skills in Python, displays a sense of ownership and is highly energetic and eager to learn state-of-the-art tech and ML.

A minimum of 2 years of relevant experience is preferred.

2022 or later year pass outs - please apply only if you have relevant full-time and at least 2 prior internships experience

Representative (not exhaustive) responsibilities:

• Assess the current design and infrastructure of the backend server, and continuously implement enhancements to make the systems more robust, reliable and responsive
• Design, implement, test, and deploy APIs with Python on Linux servers
• Enhance back-end functionality and integrate with the front end to deliver a fully functional product
• Implement and set up automated tests to periodically test backend infrastructure for reliability, security and performance
• Design new data pipelines to enable the production deployment of new models
• Mentor junior employees and interns in the company
• Additionally, interest and ability to contribute to the continuous enhancement of our state-of-the-art NLP model pipeline and Inferencing engine is a big plus
• Be ready to roll up your sleeves and participate in customer calls, understand our ICP well, do research around product features, etc.

Fast Track Your Application

Think about the ICP for ContractKen. Sign up for a trial plan, experience the product and provide feedback on how to improve the current experience of the product to add immediate value to the ICP. We don't need you to fully code any feature in its entirety and are not looking for free work. The idea is to identify folks who get** what we are trying to do with ContractKen and find faster alignment with the right candidate.

Do not apply if

You're looking for your first, real-world model building, ML/AI role. We believe that deploying existing models (open source and proprietary) in production and delivering real business value to our customers is 10x more important than hyperparameter tuning or the latest algorithm implementation. While we'd love to entertain experienced ML data scientists, the emphasis on MLOps is as much as it is on experimentation.

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must

• At least 2-5 years of working experience in web services, preferably in Python
• Should have built and released APIs in production
• Experience working with RDBMS and NoSQL databases
• Designing thoughtful, extensible data models
• Knowledge of identifying, defining and building micro-services
• Working knowledge of GCS, AWS, Azure or any other cloud provider
• Aggressive problem diagnosis and creative problem-solving skills
• Good communication skills - written and spoken