KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
L #2676
Applications open Full-Time Job

Software Engineering - Senior Manager

Vialto UK & Ireland

  • Bengaluru, India
  • Competitive Package
  • 5+ Years
  • Posted Yesterday
HR
Recruiter contact
Recruiter / hiring contact
No public email in this post. Use a source-linked contact instead.

About the role

Company Description

Join the leader in global work. Vialto helps leading organizations identify, develop, and execute their workforce priorities with confidence. Our practice areas include global tax, immigration, rewards, advisory and Vialto private and our team is the gold standard in navigating the complexities of cross-border compliance, and workforce strategies.

We look for people our clients and assignees can count on to thoughtfully deliver clear solutions to complex problems.

To be the best in the business, we cultivate a dynamic, highly collaborative culture that fuels the growth of our people. We invite you to inquire boldly, learn deeply, and grow endlessly with us. You’ll work alongside recognized experts, shaping people-first, technology-driven solutions that drive the future of work.

We help our clients achieve their goals and imagine new possibilities. And we can do the same for you. Whatever your aspirations, Vialto can help you find your way.

About Vialto Labs (VLabs)

Vialto Labs (VLabs) is responsible for redesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency across Vialto’s functional areas using AI. The team builds and deploys novel AI-enabled solutions that directly improve productivity and increase delivery quality for our clients. VLabs is accountable for rapidly turning innovative experiments into production-ready deliverables at scale and embedding them into day-to-day operations.

This team focuses on the highest-impact workflows, creating standardized, repeatable capabilities that can be deployed globally. Operating with a mandate for speed and measurable outcomes, VLabs works alongside service line, product, and platform leaders.

About The Role

We are seeking a strong Software Engineer with Python expertise to support and build Generative AI and agentic AI solutions on Microsoft Azure. This role is ideal for someone who has hands-on experience building production-grade AI applications using the Microsoft Agent Framework, modern backend engineering practices, and secure cloud-native architectures.

This role covers both the AI-enabled automation of service delivery processes, i.e. tax and immigration services, as well as the use of AI capabilities to streamline functional / back-office processes (e.g. Finance, HR etc.).

The ideal candidate has experience designing and deploying agentic systems, building evaluation harnesses, integrating tools and workflows, and implementing Responsible AI and security controls for enterprise use cases.

Key Responsibilities

  • Design, build, and maintain backend services for GenAI and agent-based applications using Python
  • Develop APIs and services using FastAPI
  • Build and support AI solutions using the agentic framework
  • Design and integrate agent workflows, tool usage, orchestration, and workflow management patterns
  • Build and maintain services using PostgreSQL, Cosmos DB, and/or SQL Server
  • Containerize and deploy applications using Docker and Kubernetes
  • Develop secure, scalable, and production-ready AI systems on Azure
  • Build agentic harnesses, test frameworks, and evaluation pipelines
  • Implement observability, monitoring, logging, and quality checks for AI systems
  • Collaborate with cross-functional teams to deliver enterprise AI solutions
  • Use modern engineering tools and workflows including Azure DevOps (ADO), GitHub, Claude Code, Cowork, and automation-friendly development practices
  • Ensure adherence to Responsible AI, security, privacy, and governance requirements
  • Support document intelligence, OCR, and data processing workflows where needed

Qualifications & Experience

  • 6+ years of software engineering experience, especially Python
  • 2+ years in GenAI, LLM, or agentic application development
  • Experience in enterprise or production AI environments preferred
  • Experience building backend services and APIs with FastAPI
  • Hands-on experience supporting or building GenAI / LLM-based applications
  • Experience with agent orchestration frameworks
  • Experience with Azure cloud resources and cloud-native application development
  • Experience with one or more databases: Postgres, Cosmos DB, SQL Server
  • Experience with Docker and Kubernetes
  • Experience with ADO, GitHub, and modern CI/CD workflows
  • Strong understanding of backend architecture, testing, debugging, and performance optimization
  • Experience with agentic engineering and agent-based solutions
  • Understands evals / evaluation frameworks
  • Strong understanding of secure design for AI systems, including access control, data handling, prompt safety, and system reliability
  • Experience integrating tools, APIs, and structured workflows into AI applications
  • Experience with workflow management and orchestration in enterprise environments
  • Strong understanding of MCP, SKILLS, plugins, tool calling, or reusable agent capabilities
  • Experience with OCR, document extraction, or document intelligence solutions
  • Experience with data wrangling, preprocessing, and unstructured data pipelines
  • Experience with RAG, search, retrieval pipelines, or knowledge integration
  • Knowledgeable about working with multi-agent systems
  • Familiarity with AI-assisted developer workflows and coding tools

Additional Information

  • This job is based in our Bangalore office with the possibility of hybrid work mode
  • We are an equal opportunity employer that does not discriminate on the basis of any legally protected status.
  • Please note, AI is used as part of the application process.

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Python SQL FastAPI PostgreSQL SQL Server Azure Docker Kubernetes

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, SQL, FastAPI, PostgreSQL, SQL Server, Azure, Docker, Kubernetes) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Vialto UK & Ireland Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Vialto UK & Ireland as a Software Engineering - Senior Manager?
Highlight Vialto UK & Ireland's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Vialto UK & Ireland Competitive Package
Recruiter Resume Apply
Chat Chat with Kashii