Backend Developer

Job Summary: 

We are seeking a highly skilled and experienced Backend Lead to design, develop, and maintain scalable, reliable, and high-performance backend solutions for our multi-tenant SaaS products. The ideal candidate will have a deep understanding of distributed systems, microservices, and cloud-based architectures, with a proven track record in handling production issues at scale. You will collaborate closely with the AI Lead and Frontend Lead to ensure seamless integration of backend services, AI/ML pipelines, and front-end functionalities, thereby

delivering a robust, secure, and feature-rich experience to our customers.

Key Responsibilities:

1. System Architecture & Design

• Define and implement the overall backend architecture for multi-tenant SaaS applications, ensuring scalability, high availability, security, and compliance.
• Design microservices and RESTful/GraphQL APIs and Websockets in alignment with front-end and AI requirements.
• Establish design patterns and best practices for code modularity, performance optimization, and scalability.
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2. Scalability & Performance

• Identify performance bottlenecks and oversee optimization strategies (caching, load balancing, message queues, etc.).
• Implement and maintain monitoring/observability solutions (e.g., Prometheus, Grafana, Loki, ELK Stack) to ensure real-time system health insights and rapid incident response.
• Establish performance baselines, conduct stress tests, and implement disaster recovery strategies.

3. Production Stability & Issue Resolution

• Proactively monitor production environments, anticipating potential failures and bottlenecks.
• Triage, diagnose, and resolve production incidents with minimal downtime, using robust logging, tracing, and on-call rotation strategies.
• Drive root cause analysis and post-mortems for production incidents, implementing preventative measures.
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4. Collaboration & Cross-Functional Coordination

• Work closely with the AI team to integrate MLOps pipelines, ensuring smooth data flow and secure model deployment.
• Collaborate with the Frontend team to provide well-defined API contracts, enabling efficient UI/UX development.
• Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation) practices.

5. Team Leadership & Mentorship

• Lead and mentor a team of backend developers, setting clear goals and providing guidance on best practices.
• Perform code reviews to ensure high code quality, maintainability, and adherence to design standards.
• Foster a culture of continuous learning, encouraging the adoption of new technologies, tools, and methodologies.

6. Security & Compliance

• Implement secure coding practices and follow industry standards (e.g., OWASP Top 10).
• Work with compliance teams to ensure data privacy and regulatory requirements (HIPAA) are met.
• Oversee authentication/authorization frameworks (OAuth, JWT, etc.) and data encryption at rest and in transit(Encryption, SSL/TLS).

7. Documentation

• Maintain comprehensive technical documentation, including architecture diagrams, APIs, database schemas, and operational runbooks.
• Facilitate knowledge sharing sessions and handovers to ensure smooth onboarding of new team members.

Qualifications

Education:

Bachelor’s or master's degree in computer science,engineering, or a related field.

Experience:

• 8+ years of experience in backend or full-stack development, with 3+ years in a technical lead or architect role.
• Demonstrated history of leading and delivering large-scale, distributed systems in production environments.

Technical Expertise:

• Languages & Frameworks: Proficiency in modern backend languages (e.g., Python) and associated frameworks (Django/FastAPI, etc.).
• Database Systems: Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases, including data modeling and query optimization.
• Microservices & Architecture: Hands-on experience with microservices,containerization (Docker, Kubernetes), and service mesh architectures.
• Cloud Platforms: Experience with cloud providers like AWS and Azure for deployment, scaling, and monitoring.
• CI/CD & DevOps: Familiarity with CI/CD pipelines, Git workflows,infrastructure-as-code, and automated testing.
• Monitoring & Observability: Proficiency with tools like Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis.

Soft Skills:

• Leadership: Ability to lead teams, manage conflict, and drive a vision for the backend architecture.
• Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product).
• Problem-Solving: Analytical mindset for troubleshooting complex issues in high- pressure environments.
• Collaboration: Demonstrated capability to work seamlessly across multiple teams and stakeholders.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Responsibilities:

* Design, build, and maintain efficient, reusable, and reliable Java code

* Ensure the best possible performance, quality, and responsiveness of the applications

* Identify bottlenecks and bugs, and devise solutions to these problems

* Help maintain code quality, organization, and automatization

* Prepare the technical design of complex technology components

Mandatory Skills:

* Proficient in Java (JDK 1.7) or above JDK 8 preferable, with a good knowledge of its ecosystems with a knack for writing clean, readable Java code, writing reusable Java libraries along with knowledge of concurrency patterns in Java

* Solid understanding of object-oriented programming along with various design and architectural patterns

* Hands on experience with Spring, Spring Boot, JUnit

* Familiarity with concepts of MVC, Microservices, RESTful

GeoSpoc is looking for passionate backend developers who would like to solve complex business problems using location-aware data and cutting-edge tools and technologies such as microservices and cloud platforms such as AWS.

• A passionate developer with solid understanding of software basics  
• Always willing to learn and explore upcoming technologies
• Pro-active, reliable and result oriented
• Someone who can continuously perform in a fast-paced environment

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)

• Writing and testing code, debugging programs and integrating applications with third-party web services
• Work closely with small teams of designers, frontend developers, GIS experts as well as business stakeholders
• Own the development lifecycle of backend systems from design to deployment
• Go above and beyond to deliver great quality software solutions on time