Cyber
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: Manager
Lead a cross-functional engineering team building and operating Gen/AI genetic AI- enabled products across AWS and Azure. You will open end-to-end delivery (UI, APIs, data, AI orchestration, and cloud operation), drive engineering excellence (quality, security, reliability), and remain hands-on in architecture and critical-path implementation.
Work you’ll do:
Delivery & Engineering Execution
- Own delivery from discovery to production: UX → services → data → AI orchestration → deployment/operations.
- Translate business requirements into architecture, milestones, sprint plans, and delivery governance (DoR/DoD, quality gates).
- Make pragmatic design decisions; evaluate trade-offs with stakeholders and SMEs; unblock execution.
- Drive engineering standards: code reviews, testing strategy, API design, documentation, reuse, and maintainabilityOwn production readiness: observability, runbooks, incident response, and continuous improvement via postmortems.
GenAI / Agentic AI (Hands-on + Leadership)
- Architect and implement LLM-enabled patterns such as RAG, tool/function calling, agent workflows, and orchestration.
- Build evaluation and monitoring: offline test suites, regression checks, online quality signals, and controlled rollout (canary/A/B where applicable).
- Implement safety and reliability controls: data/PII handling, prompt injection mitigation, authorization boundaries, content filtering (as needed), timeouts/retries/circuit breakers, and audit logging.
- Integrate securely with enterprise systems (APIs, data stores, search/vector/graph stores) with clear tenancy and access controls.
Cloud, Platform, and DevSecOps (AWS/Azure)
- Lead cloud-native delivery on AWS/Azure using containers and CI/CD; guide IaC and environment strategy.
- Optimize scalability, cost, and performance for inference-heavy workloads (caching, batching, rate limiting, queueing where relevant).
- Champion DevSecOps: secure SDLC, dependency/SBOM hygiene, secrets management, least-privilege IAM, vulnerability management.
People Leadership & Stakeholder Management
- Manage/mentor engineers across onsite/offshore teams; set goals, provide feedback, and grow capabilities.
- Drive team rituals (Agile ceremonies), execution transparency, and stakeholder communication.
- Partner with product, design, security, and data teams to align roadmap, scope, and delivery commitments.
The Team:
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:
- 10+ years in software engineering with progressive ownership; experience leading teams (formal or strong matrix leadership).
- Strong full-stack fundamentals: system design, OOP/design patterns, API design, performance, and production troubleshooting.
- Frontend experience with modern frameworks (e.g., React / Angular / Next.js) and TypeScript/JavaScript.
- Backend strength in one primary stack (e.g., Node.js, Python, or Java/Spring) building secure REST APIs (and/or GraphQL).
- Practical experience with SQL and at least one additional data store (NoSQL/cache/search).
- CI/CD proficiency (e.g., Azure DevOps/GitHub Actions) and containerization (Docker); production readiness mindset.
- Strong communication and stakeholder management in Agile delivery.
Good to have skills/ Project experience/ Certifications:
- Hands-on GenAI delivery: Azure OpenAI/Bedrock, RAG, vector search, agent frameworks, evaluation/monitoring.
- Kubernetes (EKS/AKS), GitOps, Terraform/Bicep/CloudFormation.
- Experience with OpenTelemetry and modern observability tooling.
- Cloud certifications (AWS/Azure) and experience building multi-tenant, enterprise-grade platforms.
Education:
- Bachelor’s degree in (any of) Engineering, Information Technology, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, or related fields.
Location:
- Bengaluru/ Hyderabad/ Pune/ Kolkata/ Chennai