Java Developer

• Analyze highly complex business requirements;
• generate technical specifications to design or redesign complex software components and applications;
• Acts as an expert technical resource for modeling, simulation and analysis efforts;
• Adapt to change quickly and adjust work accordingly in a positive manner;
• Be flexible and thrive in an evolving environment;
• Individual contributor to build the application for e-commerce platform;
• Assures quality, security and compliance requirements are met for supported areas;
• Working in cloud data stores to include S3, DynamoDB and/or Amazon RDS;
• Perform test automation in a test-driven development environment;
• Implement DevOps concepts, tools and continuous delivery pipelines - Bamboo, Jenkins, Maven, Bitbucket, Jira, etc;
• Implement instrumentation to gather business-specific metrics around consumer usage patterns;

• Work with product managers to understand product requirements and make them live.
• Ownership of end to end development

• Startup mindset of getting things done and focussing on business goals
• Proven problem solving skills
• 3+ years Hands on experience in designing and developing applications using server side technology (Java, Spring Boot / Node.js, Express)
• Excellent knowledge of Relational Databases, SQL and ORM technologies
• Good knowledge of design patterns
• Proficiency in REST architecture
• Experience with test-driven development
• Experience with Git/CI/CD/Gradle/Maven
• Inclination towards writing quality and performant code

• Experience in Agile development
• Performance tuning, testing, refactoring and automation
• Experience working with AWS Cloud and Devops technologies (terraform , cloudformation, ansible)
• Experience running a production environment
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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.

• Mandatory skills: Spring boot, Hibernate, Microservice
• Strong Java skills including Java 8 features 
• Good understanding of Microservices-based architecture and the related ecosystem 
• Exposure to MS SQL Server, Sybase etc. and NoSQL databases like MongoDB is also preferred.
• Great OO skills, including strong design patterns knowledge 
• Strong knowledge of software best practices, like Test-Driven Development (TDD) and
• Continuous Integration (CI) 
• Strong Knowledge of Data Structures & Algorithms
• Experience in working with data-driven RESTful APIs using web frameworks like SpringBoot,etc. 
• Should be able to do data modeling
• Good understanding of ORMs like Hibernate, JPA, etc. 
• Strong debugging skills
• Familiarity with architectural/ design patterns
• Advanced knowledge of Agile methodology.