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Engineering Excellence & AI Adoption Lead

Veripark

  • Remote, India
  • 35-55 Lacs PA
  • 15-20 Yrs
  • Posted Today
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About the role

We enable financial institutions to become digital leaders. As a professional team of global scale, we work with best clients for great and exciting projects, in an environment where we learn amazing things every day. Each code, each voice, each contribution, each challenge, each success is celebrated here.

We welcome candidates who share our values, have the skills and are passionate to enjoy our journey to build the digital future of finance, together. About the job: The Dev Practice Lead defines, governs, and continuously improves enterprise development standards and engineering guardrails to enable consistent, secure, and highquality software delivery across products, projects, and regions. This role provides practice leadership through standards, templates, readiness criteria, coaching models, and continuous improvement mechanisms and early risk visibility without owning technical architecture, delivery execution, timelines, scope decisions, or resource management.

What you will be doing: Engineering Governance & AIEnabled Development Practices Collaborate with engineering teams to jointly define and align coding standards, engineering practices, and G&R (Guidance & Review) models that meet product and delivery teams needs while remaining consistent with enterprise objectives. Identify effective engineering and AIenabled software development best practices emerging across teams and drive their standardization and adoption across the organization. Define and formalize AI usage guidelines (including GitHub Copilot Cloud Agent workflows), by working closely with engineering teams, ensuring outputs are traceable, verifiable, and supported by appropriate human validation while maintaining quality and consistency.

Facilitate the transition to modern and scalable development practices, ensuring a consistent and traceable execution model across teams. Strengthen ShiftLeft practices and support teams in adopting early validation approaches to improve testability, accelerate feedback cycles, and reduce late-stage defects. Collaborate across BA, QE and Product CoE teams to ensure end-to-end SDLC alignment and a consistent, traceable requirement-to-test lifecycle.

Review and refine Guidance & Review (G&R) and MakerChecker practices to ensure they are clear, effective, and consistently applied. Adoption, Change Management & Enablement Drive adoption of improved engineering practices through structured enablement, communication, and targeted coaching. Work with Technical Leads, Software Development Managers and Implementation Heads to ensure new practices are understood, applied consistently, and embedded into daily workflows.

Act as a change facilitator, ensuring transformation initiatives are practical and sustainable. Define and track standardization and adoption metrics, including SDLC adherence, quality gate usage, deviation visibility and AI adoption levels. Establish early warning mechanisms (e.g., RAG signals) to provide visibility into process gaps, inconsistent practices and emerging risks.

Engineering Capability & Team Enablement Support upskilling of engineering teams in modern development practices, AIassisted workflows and structured engineering discipline. Collaborate with the training team, providing input on capability expectations, identify skill gaps and development priorities. Review, refine, and mature roles, responsibilities, and RACI models to ensure clarity, consistency, and accountability across engineering functions.

Skills & Competencies: Ability to drive alignment and adoption across multiple engineering teams in a matrix organization without formal authority. Proven ability to act as a change agent, influencing behaviors and ways of working at scale Strong communication and facilitation skills to bring teams together and co-create solutions Coaching and mentoring capabilities. Systems thinking with the ability to identify systemic delivery issues and improvement opportunities.

Ability to manage multiple priorities in fast-paced delivery environments. What we are looking for: Bachelors degree in Computer Science, Software Engineering, or related field. 15+ years of hands-on software engineering experience (enterprise product and/or multi-client implementation environments), with 35 years in engineering practice leadership or cross-team technical enablement. Experience in Banking, Financial Services, or FinTech industries is highly preferred due to complex regulatory and operational requirements.

Familiarity with Microsoft technologies (e.g., Dynamics 365, Power BI, or related ecosystem) is a plus. Proven ability to define and drive adoption of engineering standards, shift-left quality and readiness gates. Strong technical background .NET or Java, with ability to operate boths.

Experience enabling automation and AI-assisted development in delivery environments. Experience with GitHub Copilot Cloud Agent is mandatory Hands-on experience with AI-assisted development tools (e.g., Microsoft Copilot, VS Code AI) and ability to guide their use; familiarity with MCP-enabled workflows is a plus. Solid understanding of unit testing, testability, and quality practices.

Experience with Jira/GitHub, version control, and code review workflows. Familiarity with Agile, SAFe, and modern engineering practices. What we are offering: Remote Freedom, Your Way: At VeriPark we believe in the power of talent, no matter where it resides.

Design your ideal workspace and achieve the perfect work-life balance. Performance-Linked Bonus: Your hard work doesn't go unnoticed! Enjoy a performance-linked bonus as a testament to your dedication!

Employee Wellbeing: Enjoy a comprehensive benefits package, including Remote Work Support, Health Insurance, Care Program, and Employee Wellbeing Program with Heltia or MantraCare Membership. We care you! Birthday Leave, Because You Matter: We value your special moments!

Take the day off on your birthday and treat yourself. Unleash Your Potential: Develop yourself with VeriPark Academy opportunities; webinars, and in-house training sessions. Together Culture: Even in a remote world, we cultivate connections through engaging face-to-face gatherings as well as online fun events two times in a year.

Special information sharing environment where you can update & align yourself. Reward & Recognition, Celebrating Your Success: Your contributions deserve to be recognized! Be part of our Reward & Recognition Program, featuring exciting awards such as a One-Week Work & Travel Experience and other experience-based rewards.

Apply and let's shape the future together.

Eligibility & process

Who can apply

Experience: 15-20 Yrs. Open to matching qualifications.

Skills & stack

Engineering Management Artificial Intelligence Excellence Ai Solutions Java Git Power BI JIRA

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

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 (Engineering Management, Artificial Intelligence, Excellence, Ai Solutions, Java, Git, Power BI, JIRA) & 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 Veripark 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 Veripark as a Engineering Excellence & AI Adoption Lead?
Highlight Veripark's market reputation, recent tech innovations, and how your skills in Engineering Management 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.
Veripark 35-55 Lacs PA
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