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Specialist I - Software Engineering

Specialist I - Software Engineering

UST

9 - 12 years

5 Lacs

hyderabad bengaluru

Posted:2 days ago| Platform:

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Skills Required

kubernetes continuous integration stack dbms solution architecting docker microservices cloud aws cloud devops kanban software engineering architecture python software development rdbms python development technology analysis nosql troubleshooting scrum agile aws sdlc

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Proficiency:

Systematically develops and promotes technology solutions ensuring the developed solution meets both functional and non - functional requirements.

Outcomes:

Develop and promote technical solutions which support the business requirements within area of expertise.
Ensures IT requirements are met and service quality maintained when introducing new services. Considers the cost effectiveness of proposed solution(s).
Set FAST goals and provide feedback to FAST goals of mentees
Innovative and technically sound for project analysis in depth.
Uphold the standards and best practices by adhering to them in his/her work as well as by implementing them in the team's work by reviewing and monitoring.
Provide innovative contribution within the team by coming up with ideas to automate repetitive work.
Able to mentor Developers in such a way that they can progress to the next level of growth.
Conduct peer reviews and demand high quality standards for the reviewed deliverables.
Conduct technical assessments for hiring candidates to Developer roles.

Measures of Outcomes:

Adherence to engineering process and standards (coding standards)
Defined productivity standards for project
Schedule Adherence
Mandatory Trainings/Certifications
Innovativeness (In terms of how many new ideas/thought processes/standards/best practices he/she has come up with)
Maintain quality standards for individual and team
Adhere to project schedules for individual and team
Number of technical issues uncovered during the execution of the project
Number of defects in the code
Number of defects post delivery
Number of noncompliance issues
On time completion of mandatory compliance trainings
Adhere to organizational policies and processes

Outputs Expected:

Code:

Independently develop code for above Maintain best coding and engineering practices

Configure:

Implement and monitor configuration process

Test:

Create and review unit test cases
scenarios and execution
100% code coverage for unit testing

Documentation:

Sign off templates
checklistsguidelinesstandards for design/process/development
Sign off deliverable documents - design documentation
requirementstest cases and results

Design:

Creation of design LLD architecture for Applications
FeaturesBusiness Components and Data Models

Interface with Customer:

Proactively influence customer thought process
Consider NPS Score for customer and delivery performance

Manage Project:

Contribute to module level development

Manage knowledge:

Consume and contribute to project related documents
share pointlibraries and client universities
Creation of knowledge sharing assets

Assists others in resolving complex technical problems::

Manage all aspects of problem management activities
investigating the root cause of problems and recommend SMART (specificmeasurableachievablerealistictimely) solutions

Development and review of Standards & Documentation::

Maintenance of software process improvement activities; communicating to a range of individuals
teams and other bodies.

Skill Examples:

Proactively identify solutions for technical issues
Ability to maintain technical evaluation procedures
Ability to estimate project effort based on the requirement
Perform and evaluate test results against product specifications
Break down complex problems into logical components
Interface with other teams designers and other parallel practices
Set goals for self and team. Provide feedback to team members
Create and articulate impactful technical presentations
Follow high level of business etiquette in emails and other business communication
Drive conference calls with customers and answer customer questions
Proactively ask for and offer help
Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.
Build confidence with customers by meeting the deliverables on time with a quality product

Knowledge Examples:

Deep level proficiency in the specialist area.
1. Proficiency in technology stacks
2. Appropriate software programs / modules
3. Programming languages
4. DBMS
5. Operating Systems and software platforms
6. SDLC
7. Integrated development environment (IDE)
8. Agile - Scrum or Kanban Methods
9. Knowledge of customer domain and sub-domain where problem is solved.
10. Knowledge of new technologies (e.g. Data science AI/ML IoT big data and cloud platform etc RDBMS and NOSQL
11. Deep knowledge of architecting solutions and applications on cloud-based infrastructures.
Additional Comments:

Role(s): GenAI Architect (Technical) Role Location(s): Bangalore, India - Define and implement scalable, secure, and high-performance architectures for GenAI and Agentic AI solutions. - Design APIs, microservices, and distributed systems leveraging Python and FASTAPI. - Drive best practices in software architecture, design patterns, and scalability. - Development & Implementation - Develop AI-driven applications and services using Python and modern frameworks. - Build and integrate LLMs and AI agents into enterprise workflows. - Apply MLOps and DevOps practices for continuous integration, deployment, and monitoring of AI solutions. - Cloud & Infrastructure - Leverage AWS services (Lambda, ECS/EKS, S3, DynamoDB, SageMaker, etc.) to design and deploy cloud-native AI applications. - Ensure solutions are optimized for scalability, availability, performance, and cost-efficiency. - Implement security and compliance standards in cloud-based AI workloads. - Leadership & Collaboration - Work proactively as an individual contributor with ownership of design and delivery. - Lead and mentor team members when required, providing architectural guidance and technical leadership. - Collaborate with data scientists, engineers, and product managers to deliver impactful AI solutions. - Problem Solving & Innovation - Troubleshoot complex system and application issues with a solution-oriented approach. - Stay ahead of industry trends in GenAI, Agentic AI, and large-scale distributed systems. - Experiment with emerging frameworks (e.g., LangChain, LlamaIndex) to enhance AI capabilities. Required Qualifications - 12+ years of software development and architecture experience. - Strong expertise in Python development. - Proven experience with FASTAPI for building APIs and services. - Hands-on experience with AWS cloud services for development and deployment. - Experience in designing and developing applications for scale in distributed environments. - Expertise in Generative AI and Agentic AI (LLMs, AI agents, orchestration frameworks). - Excellent problem-solving and troubleshooting skills. - Ability to work independently and lead teams when necessary. Preferred Qualifications - Experience with containerization and orchestration (Docker, Kubernetes). - Familiarity with event-driven and microservices architectures. - Good to have - Knowledge of MLOps frameworks (Kubeflow, MLflow, SageMaker, Vertex AI). - Understanding of data privacy, governance, and compliance in AI systems.

Required Skills

Python,FastAPI,GenAI

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