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BFN Technologies Private Limited, the India subsidiary of Business Flow Navigator Inc., is seeking a Senior AWS Engineer to own an existing AWS-based application, complete remaining development and deployment work, and push it to production readiness. The role is hands-on across code, AWS infrastructure, CI/CD, observability, security, documentation, and operations.
The candidate can onboard quickly into an existing codebase, stabilize the solution, and help teams build, test, deploy, and
Take ownership of an existing AWS application, complete remaining development and deployment work, and support it through production readiness — hands-on across code, infrastructure, CI/CD, and operations.
Work Model
Remote
Type
Full Time
Department
Experience
Senior (5+ years)
Employment for this position is through BFN Technologies Private Limited, the wholly owned India subsidiary of Business Flow Navigator Inc.
We're hiring a Senior AWS Engineer to take ownership of an existing AWS-based application, complete remaining development and deployment work, and support the solution through production readiness. The right candidate is a hands-on engineer who can work across application code, AWS infrastructure, CI/CD, observability, security, documentation, and operational troubleshooting.
The candidate does not need to know the current project on day one, but must have the skills to quickly onboard into an existing codebase and AWS environment — completing and stabilizing the solution, improving its reliability, and helping technical and non-technical teams understand how to build, test, deploy, and operate it.
Role
Level
Type
Location
AWS Engineer Senior Full Time Hyderabad, Telangana (Remote)
Skill Area
AWS engineering Strong hands-on experience with Lambda, Step Functions, S3, DynamoDB, SQS, EventBridge, CloudWatch, SNS, IAM, KMS, ECR, and related services.
Infrastructure as code Experience building and maintaining AWS CDK (or equivalent) for repeatable multi-environment deployment.
CI/CD GitHub Actions or similar: linting, tests, Docker image builds, deployment gates, release validation.
Containers Ability to build, troubleshoot, and deploy Docker-based workloads and Lambda container images.
Observability Ability to design useful logs, metrics, alarms, and dashboards for production support.
Security Least-privilege IAM, encryption, secrets handling, access control, and audit-friendly deployment practices.
Testing Strong testing mindset with pytest or similar: integration testing, smoke testing, regression prevention.
Documentation Ability to write practical runbooks, setup instructions, and recovery procedures other teams can follow.
Ownership Ability to independently investigate issues, propose fixes, implement safely, verify, and communicate status.
Topic
What We Ask
Strong Signal
AWS troubleshooting Describe a difficult production issue you debugged across multiple AWS services. Explains logs, metrics, IAM, networking, queues, and application behavior clearly.
Code ownership How do you onboard into an existing codebase and make changes safely? Reads first, runs tests, makes scoped changes, verifies behavior, documents findings.
CI/CD How would you design release gates for a production AWS application? Mentions lint, tests, build validation, synth, smoke tests, rollback, and approvals.
Security How do you reduce overly broad IAM permissions? Understands least privilege, service constraints, resource scoping, documented exceptions.
Operations What makes an alarm useful instead of noisy? Connects alarms to symptoms, impact, owner action, runbook, and escalation.
Documentation How do you write documentation QA or DevOps can actually use? Step-by-step instructions, verification, failure recovery, and examples.
We are seeking a Senior AWS Engineer to take ownership of an existing AWS-based application and complete it for production delivery. The ideal candidate is hands-on with Python, AWS serverless services, CDK, CI/CD, Docker, observability, IAM, testing, documentation, and production troubleshooting. Experience with AI, document processing, ingestion pipelines, or vector search is preferred but not required on day one. The engineer must be able to onboard quickly, make safe code changes, validate deployments, support QA and UAT, and prepare the solution for client handoff.