Staff Engineer - Backend

Role & Responsibilities

As a Staff Engineer at Locus, you will play a critical role in defining and driving our backend architecture as we scale globally. You’ll own key systems that handle high volumes of data and transactions, ensuring performance, reliability, and maintainability across distributed environments.

Key Responsibilities-

• Own one or more core applications end-to-end, ensuring reliability, performance, and scalability.
• Lead the design, architecture, and development of complex, distributed systems, frameworks, and libraries aligned with Locus’s technical strategy.
• Drive engineering operational excellence by defining robust roadmaps for system reliability, observability, and performance improvements.
• Analyze and optimize existing systems for latency, throughput, and efficiency, ensuring they perform at scale.
• Collaborate cross-functionally with Product, Data, and Infrastructure teams to translate business requirements into technical deliverables.
• Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Establish and uphold coding standards, conduct design and code reviews, and promote best practices across teams.
• Stay ahead of the curve on emerging technologies, frameworks, and patterns to strengthen Locus’s technology foundation.
• Contribute to hiring by identifying and attracting top-tier engineering talent.

Ideal Candidate

• Strong staff engineer profile
• Mandatory (Experience 1): Must have 9+ years in backend engineering with Java, Spring/Spring Boot, and microservices building large and schalable systems
• Mandatory (Experience 2): Must have been SDE-3 / Tech Lead / Lead SE for at least 2.5 years
• Mandatory (Tech skills 1): Strong in DSA, system design, design patterns, and problem-solving
• Mandatory (Tech skills 2): Proven experience building scalable, reliable, high-performance distributed systems
• Mandatory (Tech skills 3): Hands-on with SQL/NoSQL databases, REST/gRPC APIs, concurrency & async processing
• Mandatory (Tech skills 4): Experience in AWS/GCP, CI/CD pipelines, and observability/monitoring
• Mandatory (Communication): Excellent ability to explain complex technical concepts to varied stakeholders
• Mandatory (Company): Product companies (B2B SAAS preferred)
• Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
• Mandatory (Education): B.Tech in computer science from Tier 1, Tier 2 colleges

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon (Work from Office)

Job Summary :

We are looking for an experienced Python Django Developer with strong expertise in building scalable web applications and distributed systems. The ideal candidate must have hands-on experience with Django, Redis, Celery, RabbitMQ, PostgreSQL, and Kafka to design and optimize high-performance applications.

Mandatory Skills :

Python, Django, Redis, Celery, RabbitMQ, PostgreSQL, Kafka

Key Responsibilities :

• Design, develop, and maintain web applications using Python & Django.
• Implement asynchronous tasks and background job processing using Celery with RabbitMQ/Redis.
• Work with PostgreSQL for database design, optimization, and complex queries.
• Integrate and optimize messaging/streaming systems using Kafka.
• Write clean, scalable, and efficient code following best practices.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams (frontend, DevOps, QA) for end-to-end delivery.
• Stay updated with the latest backend development trends and technologies.

Requirements :

• Minimum 3+ years of experience in backend development using Python & Django.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, and PostgreSQL.
• Strong understanding of REST APIs, microservices architecture, and asynchronous task management.
• Knowledge of performance tuning, caching strategies, and scalable system design.
• Familiarity with Git, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure) is a plus.
• Excellent problem-solving and communication skills.

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

• fine-tuning or LoRA, QLoRA, PEFT exposure
• MCP server authoring
• eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
• open-source AI contributions
• multi-modal models (vision, audio)

8+ years backend engineering experience in production systems

Proven experience architecting large-scale distributed systems (high throughput, low latency, high availability)

Deep expertise in system design including scalability, fault tolerance, and performance optimization

Experience leading cross-team technical initiatives in complex systems

Strong understanding of security, privacy, compliance, and secure coding practices

Typescript

fintech background

Job Title: Sr. Node.js Developer

Location: Ahmedabad, Gujarat

Job Type: Full Time

Department: MEAN Stack

About Simform:

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.

Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Overview: 

We are looking for a Sr. Node Developer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) We're currently seeking a seasoned Senior Node.js Engineer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) 

Key Responsibilities:

• Develop reusable, testable, maintainable, and scalable code with a focus on unit testing.
• Implement robust security measures and data protection mechanisms across projects.
• Champion the implementation of design patterns such as Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
• Actively participate in architecture design sessions and sprint planning meetings, contributing valuable insights.
• Lead code reviews, providing insightful comments and guidance to team members.
• Mentor team members, assisting in debugging complex issues and providing optimal solutions.

Required Skills & Qualifications:

• Excellent written and verbal communication skills.
• Experience: 4+yrs
• Advanced knowledge of JavaScript and TypeScript, including core concepts and best practices.
• Extensive experience in developing highly scalable services and APIs using various protocols.
• Proficiency in data modeling and optimizing database performance in both SQL and NoSQL databases.
• Hands-on experience with PostgreSQL and MongoDB, leveraging technologies like TypeORM, Sequelize, or Knex.
• Proficient in working with frameworks like NestJS, LoopBack, Express, and other TypeScript-based frameworks.
• Strong familiarity with unit testing libraries such as Jest, Mocha, and Chai.
• Expertise in code versioning using Git or Bitbucket.
• Practical experience with Docker for building and deploying microservices.
• Strong command of Linux, including familiarity with server configurations.
• Familiarity with queuing protocols and asynchronous messaging systems.

Preferred Qualification:

• Experience with frontend JavaScript concepts and frameworks such as ReactJS.
• Proficiency in designing and implementing cloud architectures, particularly on AWS services.
• Knowledge of GraphQL and its associated libraries like Apollo and Prisma.
• Hands-on experience with deployment pipelines and CI/CD processes.
• Experience with document, key/value, or other non-relational database systems like Elasticsearch, Redis, and DynamoDB.
• Ability to build AI-centric applications and work with machine learning models, Langchain, vector databases, embeddings, etc.

Why Join Us:

• Young Team, Thriving Culture
• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Well-balanced learning and growth opportunities
• Free health insurance.
• Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.
• Flexible work timing, leaves for life events, WFH, and hybrid options

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors. 
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka 

• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features 

• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.