Backend Developer

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Skills:

• Expertise in Python 3 on AWS serverless
• Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
• Proficient in modern microservice-based architectures and methodologies.
• Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
• Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
• Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
• Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
• Experience with Github and advanced Github features (good to have).
• Must have worked as a part of Agile Teams and DevOps practices such as continuous Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.

Responsibilities Include

You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.

Requirements

• B.E/MS in Computer Science or equivalent.
• 10+ years or more of progressive software technology experience with at least 3 years in an architectural role.
• Completely hands on with technology and architecture. Start-up experience is a huge plus.
• Ability to quickly prototype and demonstrate technology value adds and educate + drive adoption within the extended technology team
• Excellent and robust understanding of scalable product system architecture(s), platforms and core technologies
• Demonstrated problem-solving and leadership skills to pursue correct engineering process in adverse conditions. Ability to embrace and demonstrate leadership beyond ownership
• Work with engineering leadership to setup and manage processes.
• Track record of thought leadership and out of the box thinking in the technology arena.
• Ability to work efficiently in an entrepreneurial and in a start-up environment
• A Java/Spring/Akka, Javascript or Golang rockstar.
• Deep and hands on knowledge of some of these technologies - MySQL, NodeJS, message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra, Arango, distributed caches such as Redis/memcached, container technology such as Docker and Kubernetes etc.
• Great proficiency in distributed systems design, with an ability to make the right trade-offs for creating future-proof solutions.
• Building quick PoCs and full-fledged solutions with various AWS managed services would be a big plus.