Cloud Backend Developer

Role: Cloud Backend Developer\nLocation: India, Remote\nHire Type: Permanent Hire with Kani Solutions India Pvt Ltd\n\nSkills: (As requested by HM\n\n)\nKey Responsibilitie\ns:Design, implement, test, and maintain Python-based backend services and shared libraries; contribute to TypeScript where backend/frontend integration requires i\nt.Build secure REST APIs with strong authentication, authorization, request validation, edge protection, and clear API contract\ns.Model operational data for job state, user usage, quota tracking, lifecycle management, auditability, and recover\ny.Implement asynchronous job lifecycle management, including upload validation, checksum enforcement, deduplication, queue dispatch, worker execution, completion of callbacks, retries, and failure recover\ny.Write and maintain infrastructure-as-code templates for compute, storage, databases, queues, APIs, networking, analytics, identity/access, and observability resource\ns.Collaborate with mobile, frontend, and platform engineers to deliver reliable end-to-end user workflows across cloud APIs and client application\ns.Build CI/CD-friendly code with unit, integration, and end-to-end tests using tools such as pytest, moto, linting/type-checking, and GitLab C\nI.Create and maintain technical documentation, runbooks, deployment notes, architecture decisions, and operational troubleshooting guide\n\ns.\nRequired Qualificatio\nns:Around 5 years of professional backend engineering experience, with production cloud systems experien\nce.Strong experience building cloud APIs and services for at least one consumer (mobile app) or enterprise use cases; experience with both is ide\nal.Consumer and enterprise contexts have different requirements around scale, latency, auth models, rate limiting, and API design, and we need someone who understands those tradeof\nfs.Strong proficiency in Python and experience building cloud APIs or event-driven backend servic\nes.Working knowledge of TypeScript for API integration, tooling, or frontend-adjacent backend wo\nrk.ands-on AWS experience with serverless compute, API management, managed databases, object storage, messaging, identity/access management, and observability servic\nes.Experience with infrastructure as code, such as AWS SAM, CloudFormation, Terraform, or comparable cloud deployment tooli\nng.Strong understanding of asynchronous and distributed system patterns, including queues, retries, DLQs, idempotency, state transitions, and eventual consisten\ncy.Ability to reason about cloud-agnostic architecture patterns and adapt AWS-based designs to equivalent capabilities on other public cloud platforms when requir\ned.Experience designing secure cloud systems with least-privilege access controls, encrypted storage, secrets management, request validation, and network isolati\non.Practical testing discipline, including unit tests, integration tests, CI pipelines, and local developer quality chec\nks.Experience using AI-assisted coding tools such as GitHub Copilot and Claude Code responsibly, including prompt framing, code review, test generation, debugging, and verification of generated outp\nut.Ability to read existing systems, document tradeoffs, and make pragmatic implementation decisions in a fast-moving environme\n\nnt.\nPreferred Qualificati\nons:Experience with media processing workflows, including audio/video upload, transcoding, metadata extraction, and media validation to\nols.Experience integrating AI/ML services or model inference systems, including managed AI services or containerized model worklo\nads.Experience with container platforms, private networking, autoscaling, and GPU-capable comp\nute.Familiarity with workflow orchestration systems for long running or multi-step j\nobs.Experience with data lake, analytics, or BI integration patte\nrns.Familiarity with Firebase Authentication, Cognito identity federation, OAuth/OIDC, or session-cookie based authenticat\nion.Hands-on experience with at least one non-AWS public cloud platform (such as Alibaba Cloud, Azure, GCP, or Tencent Cloud), with enough depth to map equivalent services across serverless compute, object storage, managed containers, message queues, databases, identity/access management, observability, and API gatew\nays.Experience with cloud-agnostic open-source frameworks and tooling such as Terraform, Kubernetes, Open Telemetry, Apache Kafka, Temporal, Fast API, or S3-compatible object storage APIs that reduce vendor lock-in and transfer across provid\ners.Familiarity with portable infrastructure patterns – containerized workloads, OCI registries, OIDC-based auth, Open API contracts, or open table formats (Iceberg/Delta) – that enable multi-cloud or hybrid deployment with manageable migration effort – AWS certifications are a plus, but practical production experience and strong system design judgment are more important than certificates al\n\none.