Cyber Operate - LSA - AIML - DevOps Engineer

Overview

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful insights to help our clients navigate the ever-changing threat landscape. Through powerful insights and managed services that simplify complexity, we enable businesses to operate with resilience, grow with confidence, and proactively manage to secure achievements.

Position Summary

Level: Lead Solution Advisor

As a Lead Solution Advisor at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.

Work you’ll do:

• Working closely with business, solution engineers, data scientists and full stack team members and leadership to understand business requirements and deliver high quality technical solutions
• Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
• Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
• Developing solutions to client problems through application of methods and tools; validating solutions to SME’s.
• Understanding the benefits of using state-of-the-art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools
  
  

Cyber Operate teams manage clients' critical cyber assets either as a fully managed service or in partnership with clients. They deliver skilled talent, cutting-edge technologies, and robust processes to operate client cyber capabilities. This includes managing the identity lifecycle, security operations, threat intelligence, application security, business transformation, and ensuring continuous compliance.

Qualifications:

Must have skills/ Project experience/ Certifications:

• 5-7 years of demonstrated expertise in software development, applying OOP concepts and design patterns, with advanced proficiency in Python and its web frameworks (Django, Flask, FastAPI).
• Led deployment and operational integration of advanced data science and Generative AI solutions as a DevOps and MLOps Engineer.
• Design, deploy, and manage scalable, secure cloud infrastructure using AWS (IAM, EC2, S3, RDS, ELB, Auto Scaling, Route 53, EKS, Lambda, VPC, ECS, Fargate, Load Balancer, RedShift, Secret Manager, etc.)
• Designed and implemented robust CI/CD pipelines for machine learning models using tools such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, CircleCI, and ArgoCD, automating retraining workflows and supporting continuous AI delivery improvement.
• Applied DevOps, DevSecOps, and GitOps practices, with experience in version control, reproducibility, and governance for data, code, and ML assets.
• Developed and integrated RESTful APIs, microservices, serverless architectures, ensuring web security and compliance with data privacy regulations like GDPR and HIPAA.
• Managed and organized relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Redis, Cassandra, and DynamoDB.
• Provisioned, scaled, and managed cloud-based and on-premises infrastructure, including GPU clusters, using Docker and Kubernetes (EKS, GKE, AKS) across AWS, Azure, and GCP environments.
• Deployed and integrated scalable Generative AI and data science models into production and non-production environments, embedding AI-driven APIs and microservices within existing solutions.
• Implemented monitoring solutions with platforms such as Prometheus, Grafana, Datadog, Splunk, and CloudWatch.
• Translated requirements into scalable deployment architectures, maintained open communication for deployment status and troubleshooting, and ensured operational demands of Generative AI—such as handling non-deterministic outputs, scaling large models, and maintaining security, data integrity, and ethical compliance—were met.
• AWS DevOps Engineer or Solutions Architect certification is considered a plus.
• Experience in translating requirements into scalable deployment architectures and maintaining open lines of communication for deployment status and troubleshooting.
• Strong understanding of networking, SSL, DNS, and web security.
• Excellent analytical, problem-solving, and communication skills.
  
  

• Knowledge of AI/ML frameworks and libraries such as TensorFlow or PyTorch.
• Familiarity with agentic AI frameworks, RAG (Retrieval Augmented Generation), and vector DBs is a plus.
• Familiarity with front-end frameworks (React.js, JavaScript/TypeScript), HTML5, CSS3, and responsive web design
• Exposure to automated testing frameworks and Agile/Scrum environments.
• Experience in architectural decision-making and technical roadmap planning.
• Experience deploying data science solutions in cloud environments.
  
  

• Bachelor’s degree in (any of) Engineering, Information Technology, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, or related fields.
  
  

• Bengaluru/ Hyderabad/ Pune/ Chennai
  
  

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .

Benefits To Help You Thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

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Requisition code: 305805