Role: Senior Python Backend Engineer (Software)

Specialisation: Python, TypeScript / Node.js, Agentic AI, DevSecOps and AWS

Location: Bangalore (Hybrid)

As a Senior Engineer you are:

- Empathetic and self-aware, considering how you interact

with your team, stakeholders and customers.
- A mentor with a passion to nurture, grow and influence

engineers while maintaining a growth mindset.
- Innovative, continually improving the status quo for

customers and inspiring the team through change.
- A quality advocate who uses automation to deliver safely

and at pace.
- Accountable for software design, engineering practices,

security and quality standards across the team.
- Curious about emerging engineering and agentic AI

practices, applying them responsibly to valuable customer and colleague outcomes.

Your reporting lines

This is an individual contributor role, reporting to an Engineering Manager.

Role mission

Design and deliver secure, resilient and observable digital services using Python and TypeScript / Node.js, with cloudnative AWS engineering and responsible agentic AI capabilities. Provide technical leadership across the software lifecycle, uplift engineering standards and help the squad turn complex business problems into simple, supportable solutions.

Your responsibilities

- Own all aspects of the SDLC, including analysis, estimation, architecture, design, development, testing, deployment,

production support, maintenance and optimisation.
- Design, build and maintain Python services, REST APIs, event-driven components and microservices; contribute to

TypeScript / Node.js services and integration layers.
- Engineer agentic AI solutions that use large language models, tools and enterprise data responsibly, with clear

guardrails, human oversight,



evaluation, observability and fallbacks.
- Drive pragmatic, fit-for-purpose solutions of high technical quality and act as a quality advocate for the squad,

preferring defect prevention and fast feedback.
- Coach and guide software engineers through design reviews, pairing, code reviews and technical problem solving.
- Embed DevSecOps practices across CI/CD, dependency and container scanning, secrets management,

infrastructure-as-code, automated testing and secure deployment.
- Design for AWS reliability, scalability, cost efficiency, recoverability and operational support, using managed services

where appropriate.
- Build production observability through structured logging, metrics, traces, dashboards, alerting and actionable

service-level indicators.
- Protect customer information through privacy-aware design, least-privilege access, secure coding and proactive

remediation of security findings.
- Communicate complex technical topics clearly to technical and non-technical stakeholders and collaborate across

squads and platforms.
- Proactively identify, discuss and act on current and future technology, security, operational and model risks.

Your skills & experience
- 8-12 years of software engineering experience,

including technical leadership in complex production environments.
- Advanced Python, including API and service

development, testing,



packaging, concurrency and performance optimisation.
- Strong TypeScript / Node.js experience for services,

APIs and integration components.
- Experience with REST, asynchronous messaging,

event-driven design and microservices architecture.
- Hands-on AWS engineering, such as Lambda, ECS

or EKS, API Gateway, S3, DynamoDB or RDS, SQS or SNS, EventBridge, IAM, CloudWatch and Secrets Manager.
- Infrastructure as code using Terraform, AWS CDK or

CloudFormation.
- Agentic AI engineering experience, including LLM

orchestration, tool/function calling, retrievalaugmented generation, prompt and context design, evaluation, safety controls and production monitoring.
- DevSecOps and CI/CD using Git-based workflows

and automated build, test, security and deployment pipelines.
- Unit, integration, contract and end-to-end testing;

familiarity with TDD and BDD.
- Containers and orchestration using Docker and

Kubernetes; secure software supply-chain practices.
- Observability using tools such as OpenTelemetry,

CloudWatch, Splunk, Grafana or equivalent.
- Secure coding, threat modelling, vulnerability

management and risk-aware engineering in a regulated environment.

Desirable experience

- FastAPI, Django or Flask; pytest and modern Python quality tooling.
- Node.js frameworks such as NestJS or Express and up-to-date TypeScript testing practices.
- LLM and agent frameworks or SDKs, model gateways, vector search and enterprise knowledge integration.
- AWS serverless and container platforms, relational and NoSQL data stores, and streaming or messaging platforms.
- Experience delivering technology in banking or another highly regulated industry.

📌 Senior Python Backend Developer (Bengaluru)
🏢 Allegis Group
📍 Bengaluru