Backend Developer

Job Description:

• Experience in Python (Only Backend), Data structures, Oops, Algorithms, Django, NumPy etc.

• Notice/Joining of not more than 30 days.

• Only Premium Institute- Tier 1 and Tier 2.

• Hybrid Mode of working.

• Good understanding of writing Unit Tests using PYTest.

• Good understanding of parsing XML’s and handling files using Python.

• Good understanding with Databases/SQL, procedures and query tuning.

• Service Design Concepts, OO and Functional Development concepts.

• Agile Development Methodologies.

• Strong oral and written communication skills.

• Excellent interpersonal skills and professional approach Skills desired.

At https://www.holofy.io/">Holofy, We are building an incredible product and to do that we need incredible people.

If you have ambition and drive and want to own your roadmap in a company that knows how to innovate and scale, we want to talk to you.

We work in small, self-managing, collaborative and agile/Kanban teams and are looking for great technology developers who can work in the same.

Location - Remote/WFH

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Pre-requisites:

If you are applying or referring somebody to this role, these are the must-haves attributes:

• 5+ years of extensive Backend Development experience using Nodejs/ MERN Stack.
• Experience working in Agile teams. 
• Be able to write solid and delicate code within the following: NodeJS with Javascript and Typescript including the translation between the two.Expert knowledge of Express.
• NoSQL systems such as MongoDB or DocumentDB and Working knowledge of AWS.
• Past experience building and troubleshooting large scale cloud-based management systems.
• Strong experience with the creation of RESTful services and API's We are a forward thinking team who are always looking to improve ourselves and our product. Along with experience with API testing frameworks.

We are a forward thinking team who are always looking to improve ourselves and our product.It would be great for you to have some knowledge or experience in the following technologies. If not, there will be plenty of opportunity to learn these new things and more whilst at Holofy. 

• Knowledge of kafka, elasticsearch, or RabbitMQ
• Experience with GraphQL 
• An understanding of cloud-native systems such as docker
• DevOps Knowledge 

Responsibilities:

• Maintain high standards of software quality within the team by establishing good coding practices and habits
• Research and evaluate a variety of software products
• Ability to manage and organize a team of technical staff
• Develop a strategy that the team will use to reach its goal
• Provide timely training to team members on the latest technology

What else we can offer:

• Limitless growth and encouragement to be innovative and challenge status quo.
• Exceptional compensation & benefits and performance-based recognition & rewards.
• Open door policy and flexible working hours and Medical coverage

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Must-Have Technology Skills:

• OOP Concept, Java 8+, Spring Boot, API development, Agile Scrum knowledge, Strong Databases design concepts of RDBMS, and capable of writing and optimizing complex queries.
  Good understanding of any Database tool e.g. Postgres, MySQL, etc.,
• DevOps basic knowledge e.g. implementation of logging in the code, Application Performance Management.
• Basic API & Application security, and Basics of tuning application performance.
• Basic Understanding of DevOps concepts e.g. CI & CD, Deployment lifecycle, Basic understanding of unit testing concepts e.g. TDD (test-driven development).
• A basic understanding of Microservices patterns
• A basic understanding of Java scripting.
• Good understanding of UI Frameworks like Angular 8+

Must-Have Soft Skills:

• Verbal & Written English communication, Good Problem-solving skills,
• Good Planning skills,
• Team Player,
• Good leadership skills
• Good written and verbal communication

Job Description

• Good experience as a full-stack developer in DB-centric applications and should be able to write and optimize complex database queries
• Requirement gathering & understanding, effort estimation, technical design, project planning, and monitoring in an Agile environment.
• Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks.
• Providing expertise in technical analysis and solving technical issues during project delivery.
• Customer interfacing - understand customer requirements, and propose technical solutions.
• Full Software Development Lifecycle (Agile).
• Code reviews, test case reviews and ensure code developed meets the requirements.
• Component Design/ Coding/ Unit Testing/ Debugging / Test Driven Development / Continuous Integration.
• Carry out adaptive changes necessitated by changes in Business Requirements and Technology

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.