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Salary
≈ $13k – $37k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 15+ years exp
Employment
Full-Time

First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Quoreka is a software development company specializing in cloud-native CTRM and ETRM solutions to help commodity-driven businesses navigate market volatility, optimize operations, and manage risk.
About Quoreka

Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture. Catering a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E-Sourcing products. Today, we boast of extensive CTRM/ETRM expertise across power and gas, softs, ags, fertilizers/chemicals, liquids, precious metals, and concentrates.

Quoreka is able to provide the industry with a very unique offering that meets the growing demands of commodity traders, energy merchants miners, industrials to producers providing best-in-class functionality, user experience, technology and services. Our product roadmap is innovation-centric, focusing on AI and delivering strong product value propositions with clear short-term, medium-term, and long-term goals. Quoreka has over 200 employees and offices across the UK, India, Australia, Switzerland and Canada, serving :100 customers globally across multiple commodity segments.

Position/Title - Senior Manager - Engineering (Dot Net)

The Senior Manager - Engineering will be a key member of the technology and business leadership team, responsible for leading and transforming the Engineering teams as a strategic business capability that enables the company's growth, customer and product ambitions.

The role will lead global engineering teams focused on developing and delivering enterprise software using the .NET technology stack. The leader will combine strong people leadership, business and product understanding, technical depth and execution excellence to translate product and business priorities into engineering plans, capacity decisions, technology investments and measurable outcomes.

The role will have end-to-end responsibility for Engineering, including engineering execution, architecture and technical direction, software quality, productivity, modernization and engineering practices. The role will work closely with Product, QA, Customer Success, Professional Services and other leaders to ensure predictable delivery and strong customer and business outcomes.

Education:

B.E/B.Tech in Computer Science from Premier Institutions only.

Experience:

Must Haves

  • 15+ years of software engineering experience, including 8+ years in Engineering leadership roles, with demonstrated experience managing multiple engineering teams, preferably in a software product-based organization
  • Strong experience with the Microsoft .NET ecosystem, particularly C#, .NET/.NET Core, VB.NET, VB6, C++, etc and enterprise application development.
  • Demonstrated track record of transforming or significantly improving engineering organizations, including organization structure, processes, engineering practices, productivity and delivery effectiveness.
  • Strong understanding of business and product strategy, with the ability to translate business objectives into engineering strategy and investment priorities.
  • Proven experience partnering closely with Product and business leadership to deliver customer and business outcomes, not simply technology deliverables.
  • Experience leading large-scale, highly available and complex software products or platforms.
  • Strong architecture and system-design depth, with the ability to guide and challenge complex technical decisions.
  • Strong understanding of modern enterprise architecture, distributed systems, data-intensive applications, cloud platforms and modern SDLC practices.
  • Demonstrated track record of hiring, developing and retaining Engineering team members and building high-performing team.
  • Proven ability to manage competing priorities and make difficult trade-offs between customer commitments, product roadmap, technology investment, technical debt, cost and risk.
  • Excellent communication and stakeholder management skills, with the ability to influence senior stakeholders across Product, Business and Technology.
  • Demonstrated ability to operate effectively in ambiguous, fast-changing and transformation-oriented environments.
  • Able to engage deeply with architects and senior engineers and challenge technology choices based on business requirements, scalability, risk, cost, and long-term product strategy.
  • Technology/framework expertise is important, but the expectation is breadth and technical judgment rather than hands-on coding in a specific stack.

Good to Have


  • Experience with ERP, SCM, financial technology or other complex enterprise business applications.
  • Experience driving large-scale technology modernization.
  • Experience with legacy .NET/VB.NET/WinForms modernization.

Technology Skills


Core Technology

  • Strong experience with C#, .NET / .NET Core and enterprise application development.
  • Strong understanding of object-oriented design, system design and enterprise application architecture.
  • Experience with large-scale, complex business applications and highly available systems
  • Architecture & Integration
  • Strong understanding of service-oriented architectures, APIs and enterprise integration patterns.
  • Experience with relational and non-relational databases, messaging/event-driven architectures and distributed systems.
  • Ability to guide and challenge architectural and technology decisions.
  • Cloud & Engineering Platform
  • Good understanding of AWS/Azure or equivalent cloud platforms.
  • Experience with CI/CD, DevOps, containerization, observability and infrastructure automation.
  • Understanding of security, Secure SDLC, performance, scalability and reliability engineering.
  • Modernization & Productivity
  • Experience driving engineering automation, developer productivity and AI/GenAI adoption.

Leadership Attributes:


Business-minded | Transformational | Product-oriented | Technically credible | Enterprise thinker | Decisive | Strong people leader | Execution-focused | Customer-centric

Roles And Responsibilities

  • Business, Product & Customer Leadership
  • Develop a deep understanding of the company's business model, customers, products, competitive environment, and growth strategy, and use this understanding to shape Engineering priorities.
  • Partner closely with Product, QA, and other stakeholders to translate customer and business needs into clear engineering outcomes. Ensure team understands the business context and why behind customer and product requirements, rather than simply executing technical specifications.
  • Balance new product development, customer commitments, platform investment, technical debt, modernization, and operational priorities through clear prioritization and trade-offs in consultation with Product team.
  • Participate in strategic customer discussions where Engineering leadership can materially influence customer confidence, product adoption or business outcomes.
  • Development Strategy & Leadership
  • Lead and manage engineering team(s) responsible for delivering high-quality, scalable, and maintainable software.
  • Translate company and product strategy into clear engineering priorities, capacity plans, execution plans, and measurable outcomes.
  • Identify and eliminate organizational, technical and process constraints that limit speed, quality, scalability, productivity and innovation.
  • Establish clear accountability for engineering outcomes
  • Act as a catalyst for change, challenging existing assumptions and continuously looking for ways to improve how Engineering delivers value
  • Technical Leadership & Architecture
  • Provide strong technical leadership and guidance across system architecture, scalability, security, reliability, APIs, distributed systems, data platforms, and integrations.
  • Partner with Architects and senior engineers to guide and challenge complex technical and architectural decisions.
  • Champion Secure SDLC, secure coding, observability, resilience engineering, performance engineering, CI/CD, deployment safety, and automation.
  • Drive a deliberate approach to technical debt, legacy modernization and platform simplification, with clear prioritization based on business impact and risk.
  • Ensure technology choices enable future product evolution and do not unnecessarily constrain business agility.
  • Organization and Leadership
  • Build and lead a high performing, collaborative, and inclusive engineering team.
  • Establish a culture of ownership, accountability, customer focus, and continuous improvement.
  • Engineering Productivity, AI & Innovation
  • Improve engineering productivity through automation, reusable components, tooling, and effective engineering practices.
  • Drive meaningful adoption of AI/GenAI across software development, QA and engineering operations to improve productivity, quality and time-to-market.
  • Identify technology opportunities that can create new customer value or competitive advantage.
  • Delivery & Execution Excellence
  • Own predictable, high-quality delivery of product releases and roadmap outcomes
  • Strengthen agile execution, planning discipline, capacity management, dependency management, and release governance
  • Proactively manage delivery risks, dependencies and escalations.
  • Remove execution bottlenecks and improve time-to-market
  • Drive technical debt management with a measurable, prioritized reduction plan
  • Metrics, Governance & Continuous Improvement
  • Delivery: cycle time, throughput, predictability, deployment frequency
  • Quality: defect escape rate, test effectiveness, change failure rate
  • Reliability: Availability, MTTR, incident frequency (SLO compliance)
  • Productivity: DORA-style indicators, automation coverage, developer experience
  • Key Success Measures
  • Engineering productivity and cost efficiency
  • Delivery predictability/time-to-market
  • Quality and defect reduction
  • Platform scalability and reliability
  • Customer-impacting issues and commitments
  • Adoption and impact of AI/automation
  • Engineering leadership depth and organizational effectiveness
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