Location: Pune
Work Mode : Hybrid
Role Summary:
We are looking for a Senior Technical Engineer / Technical Lead with strong hands‑on experience to work on end‑to‑end delivery of enterprise applications. The role requires flexibility across technologies, strong problem‑solving skills, and mandatory working overlap with Phoenix (US) stakeholders.
This role is aligned to our core portfolio covering Cloud, Data, Integrations, and Engineering (including QA), and requires individuals who can contribute across multiple layers of the technology stack.
Required Skills & Experience
- :Minimum 5+ years of experienc
- eExperience working as a Senior Engineer / Technical Lea
- dStrong hands‑on coding experience in Python and/or TypeScrip
- tExperience designing and developing enterprise‑grade application
- sStrong understanding of object‑oriented design and system desig
- nHands‑on experience with cloud platforms (AWS / Azure / GCP
- )Experience building and working with backend services and API
- sUnderstanding of microservices‑based architecture
- sExperience working across different layers of the application stac
- kExperience with code reviews, debugging, and production suppor
- tAbility to work on end‑to‑end project deliver
- yMandatory ability to work with Phoenix (US) time‑zone overla
- pAbility to work effectively with distributed and global team
- sStrong problem‑solving and communication skill
- sFlexibility to work across technologie
- sExperience across core portfolio areas: Cloud, Data, Integrations, Engineering (including QA
- )Strong experience in Python for backend and data developmen
- tExperience with TypeScript for frontend or service automatio
- nExposure to .NET technology stack for legacy system
- sJava not preferred as primary technolog
- yExperience working across full stack (data, backend, frontend, integrations
- )Experience with API-based integrations and distributed system
- sExperience with QA practices and engineering quality standard
- sExperience working in cloud-native environment
s
Good‑to‑Have
- s:Experience or exposure to AI / Machine Learning concepts or projec
- tsExperience with Docker and containerized deploymen
- tsExposure to CI/CD pipelines (GitHub Actions, Azure DevOps, etc
- .)Basic exposure to Kubernetes (EKS / AK
- S)Experience with SQL and NoSQL databas
- esExposure to messaging or event‑driven syste
- msUnderstanding of cloud security basics and performance optimizati
- onExperience working in Agile/Scrum delivery mode
- lsPrior experience in global or hybrid delivery environmen
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