Senior Backend Engineer (GoLang) - Remote | Immediate Joiners Only

Posted 4 months agoViewed
IndiaContractSoftware Development
Company:Proximity Works
Location:India
Languages:English
Seniority level:Senior, 6+ years overall, 3+ years in Golang
Experience:6+ years overall, 3+ years in Golang
Skills:
AWSBackend DevelopmentGraphQLPostgreSQLPythonSoftware DevelopmentSQLDesign PatternsDynamoDBGCPGitJavaKubernetesMachine LearningMySQLSpring BootCassandraRedisCI/CDRESTful APIsMicroservicesMentoringData modeling
Requirements:
3+ years of experience in software development with strong expertise in Golang. Overall 6+ years of experience in software development with a strong base and framework expertise in Java/Go/Python. Basic working knowledge of frontend technologies. Experience with frameworks like Springboot, Quarkus, Gin/Mux. Experience in working with microservice architectures, transactional systems, and distributed environments. Exposure in building RESTful APIs with monitoring, fault tolerance and metrics. Experience with MySQL, PostgreSQL, NoSql (Cassandra, Redis, DynamoDB). Proficient in OOP, SQL, Design Patterns with Data modeling experience in Relational databases. Proficient in building GraphQL APIs. Proficient with Continuous Integration (CI), Continuous Deployment (CD) and version control (Git). Well-versed with TDD and Test Engineering and Automation. Excellent attention to detail. Outstanding written and verbal communication skills. Mentored a team of 2-3 engineers. Self-starter capable of working with minimal guidance in a fluid environment. Excited by challenges surrounding the development of highly scalable & distributed systems. Agile and able to adapt quickly to changing requirements and scope and priorities. Experienced in working on massively large-scale data systems in production environments. Strong fundamentals in distributed systems, performance engineering, and API design. Proven experience taking ML models from notebook to production. Fluency in feature lifecycle and model lifecycle. Hands-on with orchestrating compute-intensive workflows and managing latency/cost trade-offs. Experienced with experimentation ops. Possess an observability mindset. Familiarity with media processing, vector retrieval/embeddings, multilingual ASR/TTS is a plus. Security & compliance awareness: PII handling, rights metadata, audit trails. Open-source contributions, side-projects, blog posts and YT tech videos (bonus points). Experience deploying serverless applications to GCP (bonus points). Experience in Cloud Run, Cloud Pub/Sub, Cloud Tasks, Kubernetes, Cloud Vision (bonus points). Experience with AWS stack (bonus points). Machine learning experience (bonus points).
Responsibilities:
Develop server-side logic and maintain the central database. Write clean, high-quality, high-performance, and maintainable code. Manage the entire lifecycle of stories from development to fixes and improvements. Solve complex technical problems. Develop highly scalable and performant backends based on event-driven architecture. Build robust, secure, and scalable microservices. Split features into tasks and manage backend architecture evolution. Perform objective analysis of problems and devise unbiased technical solutions. Coordinate cross-functionally with QAs and PMs for timely delivery. Participate in and drive the code review process. Implement RESTful services with a metric-driven API Gateway. Ensure sub-second server response and implement various data stores. Track defects and manage backlog with business owners and users. Own and maintain Cloud infrastructure. Evaluate relevant technologies and drive architecture discussions. Own and deliver end-to-end backend features with high performance and scalability. Collaborate with product stakeholders to deliver impactful solutions. Build reusable services and contribute to core engineering libraries. Document and demonstrate solutions. Take ownership of backend systems, including APIs, data pipelines, and infrastructure. Work with Product to drive KPIs and align engineering goals with business outcomes. Stay agile and adapt quickly to evolving requirements. Own the inference tier for media, delivering low-latency scoring/ranking APIs. Guarantee offline/online feature parity. Orchestrate GPU-heavy pipelines end-to-end. Run online evaluation safely with metric guardrails and instant rollback. Build observability and reliability features. Ship quality gates including lip-sync confidence scoring and scene-consistency checks.
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