Java + SQL

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Position of the role

The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.

Result expectation in terms of result areas and core activities

The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.

Main objectives of the role

✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.

✔ Driving innovation and continuous improvements in software development practices.

✔ Providing technical mentorship and coaching to engineers across teams.

✔ Ensuring the successful delivery of high-quality software aligned with business requirements.

✔ Defining and maintaining coding standards, best practices, and governance frameworks.

✔ Collaborating with product management and other stakeholders to shape the technical roadmap.

✔ Identifying technical debt and implementing strategies to mitigate it effectively.

✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.

✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.

Specialisation

✔ Deep understanding of software architecture, system design, and performance optimization.

✔ Translating complex business requirements into scalable and efficient software solutions.

✔ Handling large data transformations and ensuring system efficiency under the required load conditions.

✔ Leading initiatives for modernizing the technology stack and implementing best practices.

✔ Ensuring that security, scalability, and maintainability are embedded into development processes.

✔ Driving research and development efforts to explore emerging technologies and their business impact.

✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.

✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.

Key processes in the role

✔ Agile / Scrum / Kanban development methodologies.

✔ CI/CD and DevOps practices to streamline delivery.

✔ Cloud-native architecture, monolith and microservices-based development.

✔ Scalable and high-performance computing strategies.

✔ Secure software development lifecycle (SDLC).

✔ Data-driven decision-making.

✔ Performance optimization.

Key relationships (teams and/or position titles)

✔ Engineering Teams (Developers, QA, DevOps).

✔ Head of Engineering and Technology Leadership.

✔ Product Management and Business Stakeholders.

✔ Customer Success and Solution Architects.

✔ External Technical Partners and Vendors.

Requirements

✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

✔ 10+ years of experience in software development, with a proven track record .

✔ Strong experience in Python and modern software engineering practices.

✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).

✔ Experience in architecting and developing scalable, high-performance applications.

✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.

✔ Deep understanding of microservices, monolith, APIs, and distributed systems.

✔ Strong experience with database technologies, including SQL and NoSQL.

✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.

✔ A passion for mentoring, coaching, and fostering a strong engineering culture.

✔ Experience in defining and implementing technical governance and best practices.

Competences

✔ Strategic Thinking - 4

✔ Analytical Problem Solving - 4

✔ Technical Leadership & Mentorship - 4

✔ Communication & Collaboration - 3

Measures of success

✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.

✔ Delivery of high-quality software within agreed timelines and business requirements.

✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.

✔ Reduction of technical debt through strategic refactoring and modernization.

✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.

✔ Improvements in system performance, stability, cost-optimization, and security.

✔ Adoption of best practices and emerging technologies across teams.

✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Required Skills:

• 7+ years of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Excellent in design patterns, data structures & algorithms, and OOAD.
• Experience in working with the E-Government Projects/ CCTNS application.

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.

Software Engineer

Responsibilities

• Work with a performance oriented team driven by ownership and open to experiments.
• Learn to design systems for high accuracy, efficiency and scalability.
• Help us make decisions to shape our REST APIs for developers worldwide
• Think outside the box, adapting the latest software technologies
• Contribute to open source
• Be involved and drive product & design discussions.
• Contribute to our technical innovation by learning and sharing your knowledge with our Engineering teams

Requirements

• Graduation in any technical stream
• A minimum of (3 to 5 ) years of relevant experience
• Ability to work at all levels of the stack, from Golang/NodeJS+NoSQL/SQL to React/+HTML+CSS+Azure/AWS
• Good architectural & design skills.
• Take full ownership and responsibility for building, shipping, and maintaining core LoginRadius features, end to end.
• Design and architect complex new systems, focusing not only on performance and scalability, but also on crafting a beautiful user experience.
• Experience in Docker/Kubernetes is a plus
• Ability to build a feature from scratch & drive it to completion
• A willingness to learn new technology, whatever lets you deliver the best product

• Have worked at a product company is a plus

• Java
• Springboot
• REST API
• Microservices

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Scala analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Scala ecosystem.

• Identify bad code practices in Scala and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Scala and Java.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Scala best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

1. 1.5+ Years of experience in .net, asp.net and C#, WCF/API and REST services.
2. Hands on experience with CSS, Javascript and JQuery.
3. Strong knowledge in OOPS concepts.
4. Knowledge of T SQL with Sql server 2008 R2/2012 including Stored Procedures, Triggers & User Defined Functions.
5. Good to have CSS3 and HTML5 knowledge.
6. Good communication Skills are required.