Role: Sr. Backend Engineer
Seniority Level: Senior
Required Experience: 7+ years (inferred) Key Responsibilities: - Design and develop scalable backend systems and microservices.
- Build and maintain highperformance REST APIs and ensure code quality, performance, and reliability.
- Drive system architecture decisions, focusing on scalability, performance optimization, and distributed/eventdriven designs.
- Collaborate with crossfunctional teams to deliver impactful features and own endtoend delivery. Must-Have Skills/Technologies: - Java, Spring Boot (Microservices)
- RESTful API Development
- System Design, Scalability & Performance Optimization
- PostgreSQL / Elasticsearch (RDBMS & Search)
- Eventdriven Architecture (Kafka, SQS, Kinesis)
- AWS Cloud Services
- Docker / Kubernetes (Containerization) Positive-to-Have Skills/Technologies: - AIassisted Development Tools (e.g., Cursor, ChatGPT)
- Experience with SaaS / SalesTech platforms
- CI/CD pipelines (e.g., Jenkins, GitHub Actions)
- Monitoring & Logging tools (e.g., Prometheus, ELK)
- Infrastructure as Code (Terraform, CloudFormation)
Must-Have Soft Skills/Technologies: - Strong problemsolving ability
- Ownership and accountability
- Ability to work independently in a fastpaced environment
- Effective collaboration with crossfunctional teams Good-to-Have Soft Skills/Technologies: - Mentoring or coaching junior engineers
- Strong communication skills
- Adaptability to evolving technologies Responsibilities - Builds and owns backend services powering the product: the APIs the frontend calls, the databases that store data, and the event pipes (Kafka/SQS) that move data between services in real time. Reports to an Engineering Manager or Backend/Platform Lead; sits within a product engineering team of 5-10, alongside frontend, QA, and DevOps. Tech stack in plain terms: Java/Spring Boot writes business logic; Postgres stores structured data; Elasticsearch powers search; Kafka/SQS/Kinesis let services talk without waiting on each other; AWS + Docker/Kubernetes is where it all runs and scales.