Senior Technical Architect

1 week ago

Nashik, India ESDS Software Solution Limited Full time
  • End-to-End Architecture Design
    : Architect distributed, event-driven, and microservices-based systems similar to
    public cloud platforms.
    Leverage containers,
    Kubernetes
    , and hybrid virtualization environments (
    Hypervisor, OpenStack
    ) in architecting it.
  • Technology Evaluation & Strategy
    : Evaluate and recommend the right mix of
    tools, frameworks, and design patterns
    for each project, balancing performance, cost, scalability, and maintainability.
  • Infrastructure & DevOps Alignment
    : Define infrastructure as code (
    IaC
    ) strategies and embed
    DevOps
    ,
    AIOps
    , and
    MLOps
    practices into system delivery pipelines. Integrate tools like
    GitLab
    ,
    Jira
    , and cloud-native CI/CD workflows.
  • Data & Integration Architecture
    : Design secure, high-performance
    system and database architectures
    using
    PgSQL
    ,
    MongoDB
    ,
    Redis
    ,
    InfluxDB
    ,
    Kafka
    , and
    ESB
    patterns to support real-time, analytical, and transactional workloads.
  • Scalability & Resilience
    : Leverage knowledge of
    distributed computing
    ,
    SDN/SDS
    , and container orchestration to build robust systems capable of handling high throughput with minimal latency and failure recovery.
  • UML & Technical Documentation
    : Develop and maintain comprehensive
    UML models
    , architectural diagrams, and technical documentation that effectively communicate design intent across technical and non-technical stakeholders.
  • Mentorship & Governance
    : Provide architectural oversight, code-level guidance, and mentorship to development teams. Ensure adherence to architectural standards, KPIs, and KRAs through reviews and active collaboration.

  • Continuous Innovation
    : Stay at the forefront of emerging technologies and best practices. Propose architectural improvements that leverage advancements in
    AI/ML
    , cloud-native development, and intelligent automation.

  • Deep expertise in cloud platforms engineering such as AWS, Azure, or GCP.

  • Strong understanding of architectural patterns and design principles, including Event-Driven Architecture, distributed computing, enterprise bus, microservices, and high-performance computing.
  • Proficiency in architecture diagramming tools and documentation.
  • Strong foundation in data structures and algorithms, with a passion for programming (Python, Go preferred).
  • Excellent leadership and communication skills.
  • Strategic mindset with the ability to assess long-term implications of architectural decisions.

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