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    Job · 11408769

    FULLTIME

    Software Engineer (Backend, Python, Rust& AI Services) II

    Systechcorp logo

    Systechcorp

    Not specified · onsite · Posted 69d ago

    Sourced fromFoundit
    Not disclosed3–5 yrsfulltimeNot specified

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    Section · 01

    About this role

    Role: Backend Engineer – (Python, Rust & 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

    Sourced from foundit

    Section · 02

    Skills

    TerraformKubernetesApache KafkaRustgoogle cloud platformamazon web servicesHelmdbtOpenMetadataGolangApache AtlasPythonJavaMicrosoft Azure

    Section · Company

    About Systechcorp

    Systechcorp logo

    Systechcorp

    IT Services & Consulting

    56

    employees

    2019

    7 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹7.1L PA avg

    Avg at Systechcorp

    About

    Systechcorp provides advanced technology services, focusing on AI, machine learning, mobile solutions, and ERP systems to help organizations achieve their business goals.

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    4.5/ 5

    Culture

    4.5

    Career growth

    4.3

    Work-life

    4.5

    Employees rate it well for

    Company Culture46Work-Life Balance45

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