🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Role: Backend Engineer (Python, Data Platform & AI Services) Experience: 3+yrs Work Mode: Remote Notice period: Only Immediate - 15days THE OPPORTUNITY We are building a new service to collect and normalize data catalogs from diverse data sources including relational databases, data lakes, data warehouses, and streaming systems and expose them to an AI agent that dynamically constructs and routes queries to the appropriate source. This is a greenfield initiative that requires strong engineering judgment, a systems-thinking mindset, and experience shipping production-grade services. You will be a core contributor on this project, working from architecture to implementation designing ingestion pipelines, building the catalog API layer, and collaborating with the AI/ML team to surface the right metadata signals for intelligent query generation. RESPONSIBILITIES Design, build, and operate a highly available data catalog collection service that ingests schema and metadata from heterogeneous data sources (RDBMS, data lakes, streaming platforms, APIs) Develop robust data pipelines for catalog extraction, normalization, lineage tracking, and semantic tagging to power AI-driven query routing Build and maintain RESTful and/or gRPC APIs that expose catalog data to an AI query agent Deploy and manage services on Kubernetes (K8s), including helm chart authoring, autoscaling configuration, and multi-cluster operations Ensure service reliability through SLO definition, circuit breakers, retry logic, and distributed tracing Integrate with open-source and cloud-native technologies including Apache Kafka, Spark, dbt, Apache Atlas, or OpenMetadata Collaborate with AI/ML engineers to design and iterate on the metadata schema and query routing interface Participate in on-call rotations and contribute to incident response, postmortems, and reliability improvements Contribute to CICD pipelines, infrastructure-as-code (Terraform / Helm), and automated testing frameworks QUALIFICATIONS Required 3+ years of software engineering experience building and operating production services Proficiency in one or more of: Go, Rust, Java or Python-- with a preference for Rust or Python for backend services Hands-on experience with data pipeline development: ingestion, transformation, and metadata management at scale Solid understanding of RESTful API design principles and service-to-service communication patterns Experience deploying and operating services on Kubernetes (K8s) in production cloud environments Familiarity with at least one major public cloud platform: AWS, Azure, or GCP Strong knowledge of relational and non-relational database systems and their schema/catalog semantics Experience with distributed messaging systems such as Apache Kafka or AWS Kinesis Proficiency with Git, code review workflows, and agile development practices Excellent troubleshooting skills and comfort operating in Linux environments Preferred Experience with data catalog or metadata management tools such as Apache Atlas, Open Metadata, DataHub, or Collibra Familiarity with semantic search, vector databases, or LLM-based query generation systems Experience designing or integrating AI/ML model APIs into production backend services Knowledge of data governance, lineage tracking, and schema registry patterns Experience with infrastructure-as-code tools: Terraform, Pulumi, or AWS CDK Background in multi-tenant SaaS platform engineering Contributions to open-source data or infrastructure projects .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.