Design, build, and operate scalable backend services and APIs for a cloud-native medical imaging platform. Own distributed systems throughout their lifecycle, including data pipelines, databases, testing, deployment, observability, incident response, security, and compliance. Collaborate with product, frontend, ML, and DevOps teams; contribute to architecture decisions, design reviews, technical standards, and mentoring. The role involves cross-time-zone collaboration across India and the US.
About the Role
TeraRecon, part of ConcertAI, is building a next-generation radiology platform for healthcare systems. The platform brings together AI model development, agentic AI systems, and an advanced medical image viewer.
We are looking for an experienced Backend Engineer to design, build, and operate the services behind our cloud-native, AI-assisted medical imaging platform. You will own backend systems end to end, from API design to production operations, in an environment where reliability, security, and data integrity matter.
You will work closely with product, frontend, ML, and DevOps teams, and help set engineering standards for the team. This role is open at both Senior and Staff/Lead levels. Scope and expectations are calibrated to your experience
What You'll Do
- Design and build scalable, secure, and highly available backend services and APIs (REST/gRPC) in Python or Go.
- Own services through the full lifecycle: design, development, testing, deployment, monitoring, and incident response.
- Architect data pipelines and asynchronous workflows for high-volume, large-payload data.
- Design and optimize data models and queries across relational and NoSQL stores.
- Improve the performance, reliability, and observability of production systems, including profiling, capacity planning, and cost optimization.
- Write design documents, run architecture reviews, and make well-reasoned trade-offs.
- Mentor engineers through code reviews, pairing, and technical guidance.
- Collaborate with DevOps on CI/CD, infrastructure-as-code, and container orchestration.
- Contribute to security, privacy, and compliance practices, including audit logging, access control, and data protection.
- Work with teammates across India and the US, with some overlap hours for cross-timezone collaboration.
What We're Looking For
Required Qualifications
- 6+ years of professional backend software engineering experience.
- Strong proficiency in Python or Go, with idiomatic, production-quality code.
- Proven experience building and running large-scale distributed systems in production, with a track record of handling high throughput, large data volumes, or high concurrency.
- Solid grasp of system design: microservices, event-driven architecture, caching, queues, idempotency, consistency trade-offs, and failure handling.
- Hands-on experience with PostgreSQL (or similar RDBMS), including schema design, indexing, query tuning, and migrations.
- Experience designing and consuming REST and/or gRPC APIs, including versioning, auth (OAuth2/OIDC, JWT), and rate limiting.
- Experience with AWS (or another major cloud): compute, object storage (S3), networking, IAM, and managed databases.
- Proficiency with Docker and Kubernetes.
- Strong testing discipline: unit, integration, and contract tests.
- Experience with observability: structured logging, metrics, tracing, and alerting (e.g., Prometheus, Grafana, OpenTelemetry, Datadog).
- Strong written and verbal communication, and comfort working with distributed teams across time zones.
Good to Have
- Experience with workflow/orchestration engines (Temporal, Airflow, Celery, Step Functions).
- Experience with message brokers and streaming (Kafka, RabbitMQ, SQS/SNS).
- Familiarity with Redis, Elasticsearch/OpenSearch, or other specialized data stores.
- Python frameworks (FastAPI, Django, Flask, asyncio) or Go ecosystem tools (gRPC, Gin/Echo/Chi, goroutine-based concurrency patterns).
- Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions, GitLab CI, Jenkins).
- Experience in healthcare, medical imaging, or other regulated domains (HIPAA, FDA, ISO 13485, IEC 62304).
- Familiarity with DICOM/DICOMweb, PACS, FHIR, or HL7.
- Experience serving ML models or integrating AI/LLM-based services into production backends.
- Security best practices (OWASP, secrets management, encryption at rest and in transit).
- Contributions to open source or technical writing.
Level Expectations
- Senior Engineer (approximately 6–9 years)
- Independently design, build, and ship complex features and services.
- Own one or more services in production, including on-call and incident follow-up.
- Mentor junior and mid-level engineers.
- Contribute actively to design reviews.
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
What We Offer
- Work on technology that directly affects patient care and clinical workflows.
- Ownership and real influence over architecture decisions.
- A collaborative, distributed team across India and the US.
- A hybrid work model based in Bengaluru.
- Compensation as per industry standards.
- Learning and growth opportunities
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Build backend services, data pipelines, attribution models, and internal applications for cloud cost and capacity management. Transform Google Cloud billing and monitoring data into queryable usage insights, allocate Kubernetes costs, support reservation planning, and prevent capacity shortages. Establish technical architecture, data models, and engineering standards while partnering with Finance, infrastructure teams, and service owners in a remote asynchronous environment.
Top Skills:
Artificial IntelligenceBigQueryCloud MonitoringGoGCPGoogle Kubernetes EngineGrafanaKubecostKubernetesLookerLooker StudioOpencostPythonRubySQLTerraform
Cloud • Security • Software • Cybersecurity • Automation
Own and improve GitLab’s Development Health backend systems, including CI/CD health alerting, remediation routing, flaky and slow test detection, engineering analytics, and automation. Maintain and modernize legacy systems, improve reliability and test coverage, monitor production health, troubleshoot incidents, analyze engineering data, and partner with product and engineering teams. Mentor engineers, document systems, communicate asynchronously, and use AI tools to support development and roadmap decisions.
Top Skills:
Ai Coding AssistantsAPIsAutomated TestingCi/CdGitlabRuby on RailsRuby
Financial Services
Leads backend software engineering for secure, scalable, and resilient applications within an agile Asset and Wealth Management team. Designs microservices and cloud-native solutions, writes and reviews production code, resolves technical issues, and supports zero-downtime releases. Establishes AI-assisted engineering governance, automation, testing, and secure development practices. Provides technical guidance, serves as a subject matter expert, influences architecture and operations, and mentors teams while advancing software development lifecycle standards.
Top Skills:
Ai-Assisted Software Development ToolsAWSAzureCi/CdDjangoFlaskGCPJSONMicroservicesNoSQLPythonRest ApisScrumSQLWebsockets
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
