Python Developer

Job Responsibilities:

• Design, test, and build scalable backend python services
• Closely collaborate with marketing and product teams to build innovative, robust and easy-to-use features that serve.
• Developing high quality code based on detailed designs that cater to the product requirements.
• Responsible for troubleshooting, testing and maintaining the core product software and databases to ensure strong optimisation and functionality

Required Skills:

• Degree in Computer Science, Software Engineering or equivalent.
• Minimum 3+ years experience in software development.
• Expertise in Python 3.7, Django 2.2+ and REST APIs.
• Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment
• Hands-on, self-starter, capable of working independently
• True love for technology and what you do
• Maniacal attention to detail

What We’re Looking For

• 4+ years of backend development experience in scalable web applications.
• Strong expertise in Python, Django ORM, and RESTful API design.
• Familiarity with relational databases like PostgreSQL and MySQL databases
• Comfortable working in a startup environment with multiple priorities.
• Understanding of cloud-native architectures and SaaS models.
• Strong ownership mindset and ability to work with minimal supervision.
• Excellent communication and teamwork skills.

About Accubits Technologies 

We are a full-service software provider offering product development and digital transformation services to Governments, Tech startups, Fortune 1000 companies, and Businesses. 

We help organizations to be future-proof through data-driven solutions for mobile, cloud, and web platforms using cutting edge technologies such as AI, Blockchain and RPA. 

We are looking to recruit experienced Python Developers ( 2+ years ) who have good Knowledge and experience in Django and MySQL. The candidate must be eager to take up challenges and provide technical solutions for business problems.

Preferred Skills

• Must be an expert in Python programming.
• Proficiency in Django and MySQL (MANDATORY) Create and Maintain Rest API’s.
• Integrate and Handle MySQL database.
• Should have knowledge of user authentication and authorization between multiple systems, servers, and environments.
• Must be familiar with some ORM (Object Relational Mapper) libraries.
• Must be able to integrate multiple data sources and databases into one system
• Experience in working with a SCRUM or Agile team is an advantage.
• Strong understanding of fundamental design principles behind a scalable application
• Strong unit test and debugging skills.
• Proficient understanding of code versioning tools.
• Strong Knowledge of Rest Framework.
• Good to have knowledge in the Flask framework but not necessary.

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

• 5+ years of industry experience (3+ 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 5+ years.
• 2+ 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.

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor