Backend Developer

About the Role

We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.

You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.

Key Responsibilities

• Architect and build scalable backend systems (Python / FastAPI preferred)
• Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
• Deploy and maintain containerized applications on AWS/Azure
• Use AI coding assistants and agents to accelerate development, without compromising code quality
• Convert ambiguous requirements into production-ready systems

Must-Have Skills

• 7+ years of professional software engineering experience
• Strong Python backend experience
• Experience building REST APIs and production systems
• Solid understanding of system design and clean architecture
• Hands-on experience with Docker and Linux
• Experience deploying to AWS or Azure
• Experience integrating LLM APIs into applications
• Experience with embeddings / vector databases / RAG pipelines
• Strong Git and collaborative development workflows
• Ability to operate independently in ambiguous environments

Most importantly:

• Strong engineering fundamentals
• High ownership mindset
• Comfort using AI tools to move fast
• Discipline to maintain structure and quality

Good-to-Have

• Experience with real-time streaming or WebSockets
• Kubernetes deployment experience
• Experience in a fast-paced startup or consulting environment
• Familiarity with agent frameworks or voice/multimodal systems

Screening Requirement

Please include:

• A portfolio of systems you’ve built (especially AI-enabled systems), and
• A short note explaining how you use AI tools in your development workflow.

We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.

ey Responsibilities:

• Design, develop, and maintain microservices using Java (Spring Boot).
• Implement RESTful APIs and ensure integration with front-end and third-party services.
• Work with AWS services such as EC2, ECS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.
• Utilize CI/CD pipelines (Jenkins / GitHub Actions / AWS CodePipeline) for deployment automation.
• Implement security, scalability, and high availability best practices in microservice architecture.
• Collaborate with DevOps, QA, and Product teams to deliver robust solutions.
• Monitor and troubleshoot production issues using AWS CloudWatch / ELK / Prometheus & Grafana.
• Participate in code reviews, design discussions, and agile ceremonies.

Required Skills & Qualifications:

• Strong proficiency in Java 8+, Spring Boot, Spring Cloud, and RESTful APIs.
• Solid understanding of microservices architecture and service discovery / communication patterns (Eureka, Feign, Ribbon, etc.).
• Hands-on experience with AWS Cloud (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudFormation).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficient in RDBMS / NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiar with CI/CD pipelines, Git, and DevOps best practices.
• Knowledge of message brokers (Kafka, RabbitMQ, SQS) is a plus.
• Strong debugging, problem-solving, and analytical skills.

Java Developer JD:

• Strong hands-on code development experience in JAVA 14+, Restful Service, Spring Boot, JDBC Template.
• Experience in SQL scripting
• Experienced in developing and deploying web applications using Spring MVC and Spring boot.
• Hands on experience in one of the IDE’s – Eclipse or IntelliJ
• Experience with Tools- Maven, Jenkins
• Experience in entire software development life cycle from analysis, coding, testing, debugging and publishing using GIT
• AWS Services will be an added advantage
• Experience Kafka, K8s and Containerswill be an added advantage

Excellent communication, interpersonal & analytical skills with proven abilities in resolving the complex software issues.

• 2 - 5 years of hands-on experience with Mongo DB as a Developer.
• Deploy and create MongoDB clusters with appropriate configuration once the machines are provisioned
• Be able to script, and have programming ability with MongoDB shell and/or other programming languages
• Configure and monitor replica sets and Sharded Clusters
• Ability and experience in working with applications that work with MongoDB such as Java, Node.js and/or others
• Experience with MongoDB security, managing roles and permissions
• Experience with MongoDB backups and restores, manually and using MongoDB and other tools
• Knowledge and experience in working with MongoDB Ops Manager and/or Cloud manager
• Knowledge and/or experience working with MongoDB Atlas
• Knowledge of at least one DevOps tool such as Puppet, Chef, Ansible or similar
• Experience with ORM tools such as spring data is preferred.

• Previous working experience as a PHP Developer for 3 years
• BS/MS  in Computer Science, Engineering or a similar relevant field
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Proficient in PHP, HTML5, JavaScript, JQuery Expert
• Experience with PHP MVC frameworks (Symfony)

Product Responsibilities:

As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.

10+ years of relevant industry experience.

Be technically strong and deliver product excellence.

Collaborate with your team and cross-functional partners to define and influence strategy.

Drive roadmap creation and execution.

Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.

Participate in technical design. You will be the owner of the technical direction of the products.

Define clear OKRs and measure the impact of your team and individual members.

Evangelize your products across various teams and also to external customers.

Work with the GTM team to deliver success for the products.

Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.

Minimum Qualifications:

Bachelor degree preferably in Computer Science from a reputed engineering college.

10+ years of proven experience, with 2+ years of leading a team.

Very strong in hands-on coding.

8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.

Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.

Strong verbal and written communication skills.

Demonstrated experience recruiting and managing technical teams, including performance management.

Good to have:

Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.

Experience working with public cloud systems such as AWS, GCP, or Azure.

Experience with containerization and technologies such as Kubernetes and Docker.

 Knowledge of large-scale, data-heavy distributed systems.

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.