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SymphonyAI Technical Architect Backend Job in Whitefield: Apply Now

SymphonyAI is hiring a hands-on technical leader to join their engineering team. If you are looking for a Technical Architect Backend Job, this hybrid role in Whitefield, India, offers a high-impact opportunity to design and build scalable, high-performance systems for the Iris Smart Manufacturing platform. You will work with a modern tech stack encompassing Azure Kubernetes Service, microservices, and various Azure cloud components, including Blob Storage, Data Lake, and IoT Hub.

The ideal candidate combines deep Python expertise with strong computer science fundamentals to solve complex technical problems. You will operate using first-principles thinking, driving end-to-end architecture and execution while mentoring a team of senior, mid-level, and junior engineers to deliver production-grade systems.

Quick Job Details

Role:Technical Architect (Backend)
Job ID:3183
Company:SymphonyAI
Location:Whitefield, India
Experience:—
Posting Date:—
Application Deadline:—
Eligibility:—
Key Skills:Airflow, AWS, Azure, CI/CD, Docker, Elasticsearch, Event Hubs, GCP, Grafana, gRPC, Kafka, Kibana, Kubernetes, Microservices, MongoDB, NiFi, Postgres, Prometheus, Python, REST, SQL
Employment Type:—
Work Mode:Hybrid

What You'll Do

As a Technical Architect, your primary focus will be designing distributed systems and providing hands-on coding leadership.

  • Design scalable, fault-tolerant distributed systems using microservices architecture.
  • Ensure systems are built with observability, resiliency, and extensibility by design.
  • Actively contribute to core codebases with high-quality, maintainable Python code.
  • Lead by example in coding standards, debugging, and performance optimization.
  • Build reusable frameworks, libraries, and internal platforms.
  • Identify and resolve system bottlenecks across CPU, memory, I/O, network, and DB layers.
  • Drive performance tuning, load testing, and scalability improvements.
  • Establish benchmarks and SLO-driven engineering practices.
  • Lead root cause analysis (RCA) and implement long-term fixes while designing guardrails to prevent known failure modes.
  • Improve observability (metrics, logs, traces) across systems.
  • Lead a team of senior, mid-level, and junior engineers, mentoring them in system design and coding best practices.
  • Work effectively with frontend, backend, data, and platform teams to ensure cohesive feature implementation.
  • Communicate technical concepts clearly to both engineers and leadership.

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What You Need (Requirements)

To qualify for this architectural role, candidates must meet the following technical and experiential criteria.

  • Strong hands-on experience in Python, including design, debugging, and performance tuning.
  • Experience building and scaling microservices-based distributed systems.
  • Deep understanding of concurrency, parallelism, async processing, and event-driven architectures.
  • Strong grasp of API design using REST or gRPC.
  • Experience with data systems including SQL (Postgres) and NoSQL (MongoDB, Elasticsearch).
  • Experience with messaging systems such as Kafka, Event Hubs, and queues.
  • Hands-on experience with cloud and infrastructure environments including AWS, Azure, GCP, Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with observability tools like Prometheus, Grafana, and Kibana.
  • Experience with workflow orchestration tools such as Airflow, NiFi, or equivalent.
  • Strong focus on code quality, testing, and automation.
  • Comfortable using GenAI development tools (e.g., Cursor, Copilot) to improve productivity.
  • Exposure to Data/AI platforms is preferred.
  • Experience in working with Ontology/Knowledge Graph in any complex data ecosystem is a huge plus.

💡 Gigsdock Pro-Tip

To stand out for this Technical Architect Backend Job, ensure your resume strongly highlights your hands-on coding ability in Python alongside your architectural leadership in designing distributed, microservices-based systems. During your technical interview, be prepared to discuss specific instances where you identified system bottlenecks, executed load testing, and improved observability using tools like Prometheus or Grafana. Since this role heavily utilizes Azure Kubernetes Service and event-driven architectures, demonstrating your practical experience with Kafka, Event Hubs, and modern GenAI development tools (like Copilot or Cursor) will firmly establish you as a forward-thinking technical leader.

⚠️ Disclaimer & Important Information

  1. Never pay any amount for getting a job. Genuine employers never charge recruitment fees.
  2. Apply before the hiring closes or the employer stops accepting applications.