Consultant, IT Architecture - India_AGS

SP Software; Bengaluru; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

SP Software is seeking a senior software engineer in Bengaluru to own and ship production-grade systems. You will work on agentic systems, implement robust code with strong testing and reviews, and drive end-to-end delivery from design to deployment.

The role requires deep experience with Python, and at least one of TypeScript/JavaScript, Go, or equivalent, plus hands-on context engineering and observability. This is a 5-day office role located in Bengaluru.

Qualifications

• 12+ years in software engineering with direct ownership of systems in production.

Responsibilities

• Own production-grade software systems end-to-end.
• Build agentic systems with production-grade quality, not proofs of concept.
• Demonstrate strong coding practice: testing, reviews, refactoring, maintainability.
• Design agent loops, sub-agent delegation, state management and idempotent actions.
• Engineer context: retrieval, memory, grounding in enterprise data, prompt assembly.
• Develop tests for varying behavior, regression suites, and acceptance criteria.
• Address cost and latency: token accounting, caching, model routing, context sizing.
• Re-engineer processes: automate and replace manual workflows.
• Collaborate with teams on REST/GraphQL APIs, events, OAuth and contracts.
• Establish observability: structured logs, tracing, metrics; maintain CI/CD and containers.

Skills

Python

TypeScript

JavaScript

Go

Agentic systems

Context engineering

Testing

CI/CD

Observability

Independent work

Education

Bachelor's or Master's in Computer Science

Tools

REST

GraphQL

Job description

Location: Bengaluru

Work mode : 5 Days office

Interview: Face to Face

Notice Period: Immediate to 15 days

Role & responsibilities

• 12+ years in software engineering with direct ownership of systems in production
• Agentic systems you personally built and shipped into production, not prototypes,notebooks, or proofs of concept
• Strong programming proficiency in Python andat least one of TypeScript/JavaScript, Go, or an equivalent language, with demonstrable code quality practice covering testing, review,refactoring, and maintainability
• Hands-on implementation experience across:
• Agent loops and tool calling: loop control, sub-agent delegation, state management and checkpointing, and idempotent handling of consequential actions
• Context engineering: retrieval and search, memory, grounding in enterprise data, prompt assembly, and structured or schema-constrained output
• Testing and validation: automated tests for behavior that varies between runs, regression suites, and validation against defined acceptance criteria
• Cost and latency engineering: token accounting, prompt and response caching, model routing with fallback, and context compaction
• Process re-engineering experience: analyzing an existing workflow and rebuilding it around what automation makes possible, rather than encoding current practice into software
• Experience replacing an existing manual or fragmented business process with software, working directly with the people who perform that process today
• Integration engineering: REST and GraphQL, APIs, event-driven consumers, OAuth and scoped credential handling, schema and contract versioning, and resilient behavior under partial failure
• Observability and delivery engineering: structured logging, distributed tracing, and metrics for systems whose behavior varies between runs, plus CI/CD pipelines, automated quality gates, and containerized deployment
• Ability to work independently from written specification, deliver against committed timelines, and communicate progress and blockers without prompting
• Bachelors or masters degree in computer science or a related field, or equivalent practical experience

Preferred Skills and Qualifications

• Experience applying AI within a security domain such as application security, DevSecOps, vulnerability management, code analysis, or software supply-chain security
• Experience building MCP servers or agent tooling, or extending AI coding assistants such as Claude Code, GitHub Copilot, or Cursor
• Working knowledge of agentic frameworks and orchestration libraries, and judgment about when to use them
• Experience with LLMOps in production, covering versioning, staged rollout, and regression detection
• Familiarity with the OWASP Top 10 for LLM Applications and with secure development practice
• Experience ramping quickly onto an unfamiliar codebase and becoming productive in it