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Senior Software Engineer (Python)

Summary

Senior Python engineer builds cloud-native, search-heavy backend services on Azure, Elasticsearch, Kafka and Databricks for enterprise clients.

Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale.
Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata, you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships.

We are seeking a Senior Software Engineer to design, build, and support a cloud-native, data-intensive enterprise platform focused on search, data processing, and scalable backend services.

In this role, you will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services that support high-volume, mission-critical workloads. You will work with technologies including Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.

The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing. You are passionate about building reliable, scalable systems and enjoy solving complex engineering challenges in a collaborative environment.

Main Responsibilities:

  • Design and develop scalable backend services using Python.
  • Build and maintain REST APIs supporting enterprise applications.
  • Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
  • Develop intelligent search and matching capabilities for large-scale datasets.
  • Build event-driven architectures using Kafka and Azure Event Hub.
  • Design high-throughput data ingestion and indexing pipelines.
  • Integrate applications with Databricks and enterprise data platforms.
  • Develop secure cloud-native applications on Microsoft Azure.
  • Implement CI/CD pipelines and automated deployment processes.
  • Monitor application health, logging, observability, and production performance.
  • Optimize API response time, indexing performance, and infrastructure utilization.
  • Participate in architecture, design reviews, code reviews, and production support.
  • Collaborate with product managers, architects, data scientists, and engineering teams.

Hard Skills - Must have:

  • Strong Python backend development experience.
  • Experience designing and operating production REST APIs.
  • Strong experience with Elasticsearch in production environments.
  • Experience with Databricks and Delta Lake.
  • Experience building scalable search platforms.
  • Experience with Kafka or enterprise event-streaming platforms.
  • Experience deploying applications on Microsoft Azure.
  • Experience with CI/CD pipelines and automated deployments.
  • Experience troubleshooting production systems and performance issues.
  • Strong understanding of distributed systems and microservices.

Nice to have:

  • Experience with AI-assisted search or intelligent matching platforms.
  • Experience with machine learning integration.
  • Experience with semantic search or vector search.
  • Experience with Azure OpenAI or LLM integration.
  • Healthcare or supply chain experience.
  • Experience using GitHub Copilot or Codex.

Soft Skills:

  • Ability to anticipate, assess, and communicate risks and issues, defining and driving effective mitigation strategies across the team.
  • Exceptional communication and stakeholder management; clarity in direction, alignment, and timely delivery of milestones.
  • Proactive, accountable leadership that fosters ownership, high performance, and continuous improvement.
  • Strong mentoring, facilitation in agile ceremonies, and comfort making architectural trade‑offs visible to non‑technical stakeholders.
  • At Allata, we value differences.
    Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
    Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.
    This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

    What this application asks

    lever

    Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website

    • This role is based in Irving, Texas. Are you currently located in or near the Irving, TX area? choose one
    • Are you a United States citizen, or otherwise legally authorized to work in the United States for any employer? choose one
    • Do you have experience working in IT consulting firms? choose one
    • What is your target salary for your next role?
    • Please indicate the duration of your active, hands-on experience working directly with Python in a professional or project setting. choose one
    • Which option best describes your primary hands-on cloud platform? choose one
    • Which statement best describes your hands-on experience with Kafka in a professional or project setting? choose one
    • Please indicate the duration of your active, hands-on experience working directly with Databricks in a professional or project setting. choose one
    • Have you used Databricks hands‑on in the last 12 months?* choose one

    See also