Backend Engineer

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.

You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.

What You Will Do:

Backend Development (Golang & Python)

• Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
• Architect for horizontal scalability, fault tolerance, and low-latency at scale
• Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines

Scalable Architecture & System Design

• Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
• Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover

ClickHouse & Analytical Data Infrastructure

• Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
• Design optimal table engines, partition strategies, materialized views, and query patterns
• Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations

Cost Efficiency & Cost Optimization

• Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
• Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering

Linux Server Management & Infrastructure

• Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
• Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
• Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed

Data, Storage & Scheduling

• Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
• Build and maintain cron jobs, scheduled tasks, and batch processing systems

Uptime, Reliability & Observability

• Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
• Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
• Drive incident response, root cause analysis, and post-mortems

Required Qualifications:

Must-Have (Critical)

• Deep proficiency in Golang (primary) and Python
• Proven ability to design and build scalable, distributed architectures
• Production experience deploying and operating ClickHouse at scale
• Track record of driving measurable cost efficiency and cost optimization
• 5+ years in backend engineering and infrastructure roles

Also Required

• Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
• Proven uptime and reliability track record across production infrastructure
• Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
• VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
• Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Cron jobs, batch processing, data archival, cold storage management
• Networking fundamentals (DNS, TCP/IP, load balancing, TLS)

Nice to Have

• AWS, GCP, or other major cloud provider experience
• Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
• Data pipelines (Airflow, dbt); FinOps practices
• Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)

What We Offer

• Remote, contractual role
• Flexible time zones (overlap for standups + incident coverage)
• Competitive contract compensation + equity
• Long-term engagement opportunity based on performance

Responsibilities:

• Help define and create Backend architecture and deployment using Python- Django-AWS in an agile environment with lots of ownership and active mentoring

• Work with the Product and Design teams to build new features to solve business problems and fill business needs

• Participate in code reviews to create robust and maintainable code

• Work in an agile environment where quick iterations and good feedback are a way of life

• Interact with other stakeholders for requirement, design discussions and for adoption of new features • Communicate and coordinate with our support and professional services teams to solve customer issues

• Help scale our platform as we expand our product across various markets and verticals globally

As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Responsibilities :

• Lead the development of the backend systems for our client's first product.
• Build reliable, secure, and performant backend systems.
• Drive test coverage and continuous delivery automation within the team.
• Mentor and provide feedback to teammates.
• You should have a min of 8 years of software development experience and management.
• Can write code that is readable, maintainable, secure, and performant.
• Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling.
• Comfortable writing highly concurrent systems.
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries.

• Golang, Java, Python, Ruby, Node.

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.