Oddr

This is not an on-call support role. As our Integration Support Engineer, you will own Oddr's support function end to end, with full control over system changes and fixes and the independence to redesign processes and architecture once leadership approves your ideas. You will wear many hats: leader, integration engineer, automation builder, and customer partner. You will use Claude and other LLM tools to make support more agentic and automate repetitive work across Azure, DevOps, SQL, and cloud integrations.

The core responsibilities for the job include the following:

Own and Lead:

• Own the support board and be accountable for every support outcome.
• Decide on, build, test, and deploy fixes and changes to production.
• Propose process and architecture improvements; implement them independently once approved.
• Coordinate with engineering, product, and implementation to resolve issues.

Automate and Optimize:

• Build AI agents and workflows (Claude, other LLMs) for triage, log analysis, root-cause investigation, and customer replies.
• Replace repetitive manual work with scripts, scheduled jobs, and AI-assisted workflows.
• Turn team knowledge into reusable playbooks, prompts, and documentation.

Integrations, Cloud, and Data:

• Troubleshoot, build, and improve integrations using iPaaS, Azure services, REST/SOAP APIs, SFTP, JSON, and XML.
• Ship changes through Azure DevOps and SDLC practices.
• Write and optimize SQL for investigation, validation, and reconciliation.
• Shape cloud architecture for reliability, observability, and scale.

Customers:

• Work directly with customers as their technical partner, communicating clearly and proactively.
• Solve both technical and business problems, learning new systems as needed.
• Oddr: AI-powered billing, invoicing, and revenue intelligence for law firms.

Requirements:

• 5+ years in integration engineering or support, including leading or solely owning a support function.
• Proven ownership: driving changes independently and seeing improvements through.
• Hands-on use of LLM tools (Claude, ChatGPT, Copilot, or similar) to automate work.
• Scripting for automation (Python, PowerShell, or similar).
• Strong SQL and database troubleshooting skills.
• Experience with Azure (functions, logic apps, monitoring) and Azure DevOps or similar CI/CD.
• Solid grasp of cloud architecture, integration patterns, REST/SOAP APIs, and at least one iPaaS (e. g., Boomi).
• Curious, comfortable wearing multiple hats, and confident working directly with customers.
• Bachelor's degree in computer science, IT, or a related field.
• Able to work 6:00 PM - 5:00 AM IST.

Nice to Have:

• Experience building AI agents (MCP, tool-calling, LLM APIs).
• Azure, Boomi, or other cloud/iPaaS certifications.
• Experience with Intapp Integration Builder or legal-industry systems.

What Great Looks Like:

• You own the role: every issue has a clear owner, priority, and next step.
• Each quarter, more support work is handled by automation and AI.
• Root causes get fixed, not patched, and you deliver approved process and architecture improvements.
• Customers and internal teams see you as the go-to owner of support.

Senior / Staff Software Engineer – Backend Engineering

Experience: 7+ years

Location: India

Role Type: Individual Contributor | Hands-on Engineering

About the Role

Oddr is looking for a deeply hands-on Senior / Staff Software Engineer who combines strong backend engineering fundamentals with an AI-first way of building software.

This is not a traditional development role where AI is used only for code completion. We are looking for engineers who can understand a problem, design the right solution, define architectural and security guardrails, and then use AI aggressively to accelerate implementation without compromising quality.

You will be expected to code regularly, own solutions end-to-end, build POCs, drive technical design, review critical code, and help raise the engineering bar across the team.

This is not a people-management role.

What You’ll Do

• Design and build scalable, secure backend systems using C# / .NET.
• Own features from problem definition and architecture through coding and production delivery.
• Use AI coding tools such as Claude Code, Codex, Cursor or GitHub Copilot to accelerate development.
• Define the right context, constraints, tests and guardrails around AI-generated code.
• Build POCs and evaluate technical approaches before scaling them into production.
• Drive system design, API design, data modelling and integration decisions.
• Review code for correctness, security, performance and maintainability.
• Build automated tests, observability and validation into the development lifecycle.
• Mentor engineers through technical reviews, pairing and architecture discussions.
• Identify opportunities to create reusable engineering patterns, automation, agents or developer tooling.

What We’re Looking For

• 7+ years of software engineering experience building production systems.
• Strong hands-on expertise in C# and .NET / .NET Core.
• Strong system design and architecture skills.
• Experience with distributed systems, APIs, databases, asynchronous processing and cloud-native applications.
• Good understanding of Azure, CI/CD, containers and modern software delivery practices.
• Strong debugging and problem-solving skills.
• Experience using AI coding tools as a meaningful part of day-to-day software engineering.
• Ability to critically review AI-generated code and identify architectural, security or quality issues.
• Strong understanding of software design, testing and engineering best practices.

Nice to Have

• Experience with React / TypeScript.
• Experience in legal-tech, fintech, billing, payments or enterprise SaaS.
• Exposure to AI agents, RAG, MCP or LLM-powered applications.
• Experience building reusable engineering platforms, tooling or automation.
• Familiarity with SOC 2, ISO 27001 or other security/compliance environments.

What Great Looks Like

You can take a complex problem from:

Problem → Design → POC → Architecture → Code → Validation → Production

You know when to rely on engineering judgment, when to challenge the AI, and when to use AI to dramatically accelerate execution.

At Oddr, we are looking for engineers who can think deeply, build quickly and ship safely.