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Principal Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Junior (1-2 years)

Work from:

India

Offer summary

Qualifications:

8+ years of industry experience in data infrastructure, Python proficient. Familiarity with big data technologies, front-end development and full-stack experience is a plus, Bachelors/Masters degree in Computer Science.

Key responsabilities:

Architect & maintain Enrich Intelligence platform balancing speed, stability & efficiency. Deploy data processing infrastructure for multiple applications
Collaborate with product/team leadership for platform evolution to meet customer needs. Work closely with solution architect & engineering head

Scribble Data Startup https://www.scribbledata.io/

11 - 50 Employees

See more Scribble Data offers

Job description

About Scribble Data

Scribble Data is an advanced analytics and LLM data products platform company.

Our Enrich Intelligence platform is built to help teams rapidly build trustworthy data products for high-impact advanced analytics use cases. Enrich provides a full-stack solution for data preparation and lightweight machine learning (ML) algorithm execution, coupled with a low-code consumption interface designed for business users. With the launch of its new Hasper engine, organizations can now utilize large language models (LLMs) to bridge the gap between decision workflows and natural language, combining machine learning with a built-in rules engine.

For added security and trust, Enrich offers various secure hosting options for customers, ranging from on-premise to virtual private cloud.

We work smart, invest in tools and tech that are on the cutting edge of advanced analytics, and package all that we’ve learnt about efficiency and data mileage into our products. To know more, visit www.scribbledata.io.

About the role

We are looking for a capable principal engineer to own the engineering of our Enrich Intelligence platform. You will be focused on maintaining and extending functionality for Enrich with high attention-to-detail ensuring trust, robustness, performance, and ease of use. Here are all the details you’ll need, to see if we can work together:

You like ownership, and sense of accomplishment
You see constraints as an opportunity to creatively solve problems, and are not afraid to go against the conventional wisdom
You will work closely with the product team and the leadership to evolve the platform to meet the rapidly emerging needs of customers
You will work closely with solution architect and head of engineering roles to deploy the product and evolve it as required to meet the customer needs and roadmap
You will architect the system to continuously balance the conflicting demands of speed of delivery, stability, generality, and efficiency.
You will develop and deploy robust data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support.
You have strong system-level thinking and problem-solving ability paired with the love to build and ship robust code.
You have strong software engineering skills and can set up and operate well-thought-through development systems and processes.

About Enrich

Enrich is a full-stack solution in Python that enables customers to build internal-facing data products with MLRS (ML at Reasonable Scale) robustly and quickly. It trades scale of data for speed of development and deployment, strong auditability, and lower skill. It is a fully Python stack with single server packaged deployment with support for containerization if required. Simplicity and minimality are major considerations in everything that we do.

Your Strengths

8+ years of industry experience building data infrastructure including packaging, deploying, and monitoring data systems
Experience owning and developing a product in early stages is a big plus
Fluency in Python, SQL - Java knowledge will be a plus
Experience with front-end and/or being full-stack is a plus
Proficiency in designing, implementing and automating systems for data workflow management
Proficiency in developing and publishing APIs using web services
Proficiency in designing robust, scalable data architectures
Familiarity using distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), and scalable search (e.g. Elasticsearch)
Experience with containerization (e.g. Docker/Kubernetes) and other deployment tooling
Familiarity with big data technologies like map-reduce, NoSQL, Spark, HBase, and Hive
Experience with data security protocols, data access controls, AWS/GCP/Azure security mechanisms at the data and access levels, database security, scripting attacks, and API security
Having built and shipped a product at a startup will be a plus
Bachelors/Masters degree in Computer Science

Does this sound like you?

You like adventure and have a stomach for learning and unlearning every day
You are excited by powering up a whole generation of upcoming data applications
You dream big and believe that hard problems need streamlined systems and massive amounts of data to tackle effectively
You embrace uncertainty and can develop processes and systems to handle rapidly evolving requirements
You have the discipline to take audacious goals and break down years-long roadmaps into near term deliverables that provide value to business stakeholders
You enjoy educating your customers and team members about what it means to be data-oriented and cultivating engineering best practices
You are comfortable selling to customers (not a biggie)
You have a sense of humour

GET EXCITED. Because you're about to make a huge impact.

Scribble Data is growing rapidly. We think of this phase of hiring as extending Scribble's core team, so if you want to get in on the ground floor, now would be a good time to look our way.

WHAT WE OFFER