Software Engineering Technical Leader: AI/ML Platform Experience ( Golang/Python + DSA + Kubernetes )

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  • Location:
    Bangalore, India
  • Area of Interest
    Engineer - Software
  • Job Type
    Professional
  • Technology Interest
    AI or Artificial Intelligence, Cloud & AI (DCN & Compute), Internet of Everything, Software Development
  • Job Id
    1434361

Meet the Team

As a Senior Software Engineer with AI Platform, you will be pivotal in contributing to the team responsible for designing and developing the next generation of scalable kubernetes' infrastructure with machine learning platforms that support both traditional ML and innovative Large Language Models (LLMs). This is a position for experienced engineers where you will lead the technical direction, ensuring the performance, reliability, and scalability of AI systems while collaborating closely with data scientists, researchers, and other engineering teams.

Your Impact

We are seeking a leader to define the architecture for our Kubernetes platform, mentor a team of junior software engineers, and drive expertise in AI/ML. In this role, you will design and develop advanced ML pipelines, build scalable infrastructure, and implement Infrastructure as Code standard methodologies using Golang, alongside AI and MLOps frameworks. Your leadership will shape the adoption of modern technologies and processes, fostering a culture of innovation while strengthening the team’s technical foundation through mentorship. This position is ideal for someone deeply passionate about tackling sophisticated engineering challenges in the dynamic AI/ML space and delivering impactful, scalable solutions.

Core Responsibilities

As a Software Engineer with AI/ML Platform Experience you will:

  • Architect and design scalable Kubernetes platforms supporting both traditional ML and Large Language Models (LLMs).
  • Provide client support for hosting AI/ML workload on Kubernetes platform along with Re-ranking and Embedding as a Service (RAGaaS)
  • Lead the development of end-to-end ML pipelines, including data ingestion, model training, evaluation, and deployment.
  • Drive AIOPs initiative across Middleware platform by collaborating with multi-functional teams across organization to operationalize and optimize ML models effectively.
  • Define and implement MLOps standard methodologies such as monitoring, logging, and automated maintenance of models in production.
  • Develop infrastructure automation tools and frameworks to improve efficiency across teams.
  • Ensure platform reliability, scalability, and performance through meticulous engineering practices.
  • Conduct code reviews, establish standard processes, and mentor junior engineers.
  • Stay updated on the latest trends in AI/ML to influence platform enhancements.

Minimum Qualifications / Requirement -

  • Experience: 10+ years of software engineering experience, including at least 2+ years in AI & machine learning-related roles.
  • Expertise in Golang or Python, with hands-on experience with Kubernetes platform along with ML frameworks (TensorFlow, PyTorch).
  • Drive Architecture discussion with regards to software development, building AI/ML supporting platforms & services such as Kubernetes platform, Re-ranking & embedding as a service [RAGaaS]
  • Subject Matter expertise with microservice architecture, SSO and containerized cloud applications.
  • Consistent track record in designing and deploying scalable machine learning systems in production.
  • Deep understanding of ML algorithms, data pipelines, and optimization techniques.
  • Experience building CI/CD pipelines for ML workflows, including model monitoring and retraining.
  • Proficiency in cloud platforms and orchestration tools for distributed systems.
  • Strong problem-solving and debugging skills for complex, large-scale systems.
  • Experience in mentoring engineers and driving technical decision-making.

Preferred Qualifications / Requirements -

  • Kubernetes and Container Orchestration:
  • Expert understanding in Kubernetes for managing production-grade systems and ensuring scalability.
  • Expert with Docker and orchestration of complex services.
  • Software development:
  • Expertise in Golang or Python
  • Develop & enforce secure software development lifecycle
  • MLOps Tools and Frameworks:
  • Strong hand-on with architecting and optimizing workflows using Kubeflow pipelines, KServe, Airflow, and MLflow.
  • Ability to design and implement efficient CI/CD pipelines for ML systems.
  • Large Language Models (LLMs):
  • Experience of LangChain and experience designing RAG systems.
  • Experience of integrating and scaling vector databases (e.g., Pinecone, FAISS) for real-world applications.
  • Distributed Systems and Microservices:
  • Consistent track record of designing and leading the development of distributed systems.
  • Experience with implementing robust inter-service communication patterns and solving scalability issues.

#WeAreCisco (This is the Standard and cannot be changed)

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! 

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter.  Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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