Java Developer

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

• Strong Java programming skills
• Minimum of 5 years practical software development experience
• Robust object-oriented design pattern knowledge and implementation experience using Java;
• Python a plus
• Advanced knowledge and experience developing and working with relational databases such as
• Sybase and MySQL
• Experience with multi-tier application architecture and high performance distributed and in-
• memory caching solutions
• Strong understanding of data modeling techniques
• Strong foundation in SDLC best practices including test driven development, unit testing
• discipline, agile development, and CI/CD strategies

Responsibilities:

• Develop and deploy services to improve the availability, ease of use/management, and visibility of 6sense systems
• Architecting, building, and scaling out our services and infrastructure
• Learning and adopting technologies that may aide in solving our challenges
• Own our systems like our Hadoop and Presto clusters, front/back-end services, build configurations, infrastructure components, deployment of services into our infrastructure, and everything in between
• Write/review/debug production code, develop documentation and capacity plans, and debug live production problems
• Contributing back to open-source projects if we need to add or patch functionality
• Support the overall Software Engineering team to resolve any issues they encounter

Minimum Qualifications:

• 5+ years in a Software Engineering role or equivalent experience
• 1+ years of experience with Linux/Unix system administration and networking fundamentals
• Strong skills in reading code as well as writing clean, maintainable, and scalable code
• Good knowledge of Python and Java
• Experience designing, building, and maintaining scalable services and/or service-oriented architecture
• Experience with high-availability

Bonus Requirements:

• Experience with modern configuration management tools (e.g. Ansible, Chef, Puppet) and idempotency
• Exposure to modern build systems such as Bazel, Buck, or Pants
• Knowledge of the Hadoop ecosystem (e.g. Hadoop, Hive, Presto) including deployment, scaling,
• and maintenance
• Knowledge of standard security practices
• 1+ years of experience working with Kubernetes, Docker
• Good knowledge of Javascript 

• Experience 4 – 5 years
• Good in Backend Springboot
• write Rest API (Should be strong in this area)
• Good Analytical ability, Good coding practice, Knowledge of Spring Security (Desirable),
• UI Knowledge of Angular (Average knowledge should be enough)

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.

Job Description :

LOCATION: Bangalore

• 6+ years Java coding experience with immediate joiner
• Will be working closely with Product and Technology team
• Very good logical thinking and quick at learning and exploring new frameworks
• Hands-on with technology and providing POC
• Strong background culture of delivering projects with First time right and near-zero defects in production

Skill Sets: 

• Java Spring Boot 
• Micro Services architecture
• J2EE, JDBC, ORM Frameworks, JPA, NoSQL