Senior Software Engineer

10 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About Nexla

Nexla is the leading Integration platform, built with AI, for AI. Nexla takes a metadata driven approach to converge diverse integrations across Data, Documents, Agents, Applications, and APIs into a single design pattern. We accelerate the development of solutions for GenAI, Analytics, and Inter-company data. Nexla makes data users and developers up to 10x more productive by delivering a true blend of no-code, low-code, and pro-code interfaces.

Leading companies including DoorDash, LinkedIn, Johnson & Johnson, and LiveRamp trust Nexla for mission-critical data. Named in the 2022, 2023, and 2024 Gartner Magic Quadrant™ for Data Integration Tools and top-rated by customers on Gartner Peer Insights, Nexla is a remote-first company headquartered in San Mateo, California.

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Role

Senior Software Engineer


Responsibilities

  • Architect, design, develop & enhance production-grade connectors framework

    for various data sources including databases (SQL/NoSQL), SaaS applications, REST/SOAP APIs, cloud storage systems, streaming platforms, and enterprise applications
  • Make the framework scalable and resilient

    to handle high-volume data transfers, data loss prevention & detection, and incorporate error recovery mechanisms
  • Build intelligent schema inference and mapping

    systems that automatically detect and adapt to changes in data structures, APIs, and source system configurations
  • Develop comprehensive authentication and authorization

    mechanisms supporting OAuth 2.0, API keys, SAML, certificate-based auth, and other enterprise security protocols.
  • Optimize connector performance

    through various strategies like efficient data pagination, parallel processing, connection pooling, and intelligent batching strategies for large-scale data movements.
  • Contribute to connector SDK and framework development

    to enable rapid development of new connectors and empower partners/customers to build custom integrations.
  • Conduct code & design reviews

    and mentor junior engineers on best practices for connector development, testing strategies, and system design
  • Take ownership of projects from inception to deployment

    , driving them to completion and out into production with minimal supervision
  • Effectively communicate technical concepts

    to both technical and non-technical stakeholders
  • Research emerging technologies and integration patterns

    to keep Nexla's connector ecosystem at the cutting edge of data integration capabilities


Qualifications

  • 10-15 years of software engineering experience

    with at least 4 years focused on data integration, ETL/ELT pipelines, or framework design & development
  • Strong proficiency in JVM based programming languages

    with deep understanding of concurrent programming and async patterns
  • Experienced in building frameworks

    and platforms at the core of systems.
  • Well versed in Distributed Systems

    concepts & implementations..
  • Extensive experience with API development and integration

    including REST, GraphQL, SOAP, webhooks, and event-driven architectures
  • Deep understanding of database technologies

    including relational (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL (MongoDB, DynamoDB, Cassandra) systems
  • Expertise in data formats and serialization

    like JSON, XML, Avro, Parquet, Protocol Buffers, and handling of semi-structured and unstructured data
  • Experience with streaming and message queue systems

    such as Kafka, Kinesis, RabbitMQ, or similar technologies
  • Proficiency in testing methodologies

    including unit testing, integration testing, end-to-end testing, and test automation frameworks
  • Strong problem-solving and debugging skills

    with ability to diagnose complex integration issues across distributed systems
  • Bachelor's degree in Computer Science

    , Engineering, or related technical field (or equivalent practical experience)


Bonus Points

  • Familiarity with CDC (Change Data Capture)

    technologies and real-time data replication strategies
  • Knowledge of data warehouse technologies

    including Snowflake, BigQuery, Redshift, Databricks, and their specific loading patterns and optimization techniques
  • Experience with cloud platforms

    (AWS, Azure, GCP) and their native services for data storage, compute, and integration
  • Experience with iPaaS platforms

    or competing solutions (MuleSoft, Informatica, Talend, Fivetran, Stitch, Airbyte)

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