Java Architect

🔴 Profile: Java Developer

🔷 Experience: 2+ Years

🔷 Location: Mumbai

🔷 Mode: Immediate joiners preferred

✨ What we want:

✅ Core Java expertise (Java 8+, Collections, Multithreading)

✅ Spring Framework proficiency (Spring Boot, Spring MVC, Spring Security)

✅ Database skills (MySQL, PostgreSQL, Oracle, Hibernate/JPA)

✅ Microservices architecture experience

✅ RESTful API development and integration

✅ Maven/Gradle build tools

✅ Version control (Git, SVN)

✅ Application servers (Tomcat, JBoss, WebLogic)

✅ Cloud platforms (AWS/Azure preferred)

✅ Frontend basics (HTML, CSS, JavaScript - nice to have)

✅ Testing frameworks (JUnit, Mockito)

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

• B.Tech/B.E(Computer Science/Information Technology) and 4+ years of software development experience
• Strong experience in Python
• Strong problem-solving skills, Computer science fundamentals, Data structures, and Algorithms
• Knowledge of Databases such as SQL and Nosql

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.

Primary responsibilities:

• Architect, Design and Build high performance Search systems for personalization, optimization, and targeting
• Designing systems with Solr, Akka, Cassandra, Kafka
• Algorithmic development with primary focus Machine Learning
• Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments
• Participation in design and code reviews and recommend improvements
• Unit testing with JUnit, Performance testing and tuning
• Coordination with internal and external teams
• Mentoring junior engineers
• Participate in Product roadmap and Prioritization discussions and decisions
• Evangelize the solution with Professional services and Customer Success teams

Minimum requirements:

• Tech/M.Tech in computer Engineering or related fields or MCA
• At least 10-14 years of software development experience
• Expert in Java, Scala or any other object oriented language
• Proficient in SQL concepts (HiveQL or Postgres a plus)
• Additional language skills for scripting and rapid application development

Desired skills and experience:

• Working with large data sets in the PBs
• Familiarity with UNIX (systems skills a plus)
• Working experience in Solr, Cassandra, and Kafka
• Working in a distributed environment and has dealt with challenges around scaling and performance
• Working with distributed teams across multiple locations