QUALIFICATIONS AND EXPERIENCE:
• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• Experience: 7+ years of professional software development.
• Sustained use of Claude Code, Cursor, GitHub Copilot agent mode or comparable tools on production work, including ways to verify output and spot when an agent is confidently wrong.
• Experience carrying work from stakeholder requests through requirements, architectural decisions and production deployment.
• Strong C# experience across both modern .NET and .NET Framework.
• A clear grasp of synchronous versus asynchronous design, from async/await in C# (what happens at an await, .Result/.Wait() deadlocks, when async brings no benefit) to system-level choices such as queueing, caching and retries, and their effect on consistency and failure handling. Candidates will be asked to explain and demonstrate this.
• A disciplined, evidence-based approach to debugging and triage.
• Production diagnosis with Application Insights or a comparable telemetry tool.
• SQL Server and T-SQL, including query tuning and controlled production data changes.
• Azure: App Service, Functions, Key Vault and Azure SQL.
• Proficient, daily use of Git.
• Clear written technical communication.
Preferred:
• Loan, mortgage or financial services experience.
• Building tooling for AI agents, such as rules files, custom skills, MCP servers or hooks.
• GitHub Actions, Terraform or PowerShell.
Own and modernize IPS Session Manager, the back-office platform that every IPS parking meter in the field calls in to. You will be the onshore technical owner of the Session and Transaction Management (STM) stack, working alongside an offshore engineer and our QA, DevOps and embedded firmware teams.
Compensation
Salary range: $140k - $160k/yr.
Responsibilities
Own the design, code quality and production health of Session Manager and its meter-side components, end to end from the meter to the database
Build and ship features that customers and new hardware depend on, such as new meter and payment-reader integrations, new config and data types, and protocol extensions agreed with the embedded firmware team
Keep the call-in and real-time payment paths fast and reliable under fleet-wide load: concurrency, back-pressure, timeouts, database contention, and safe fallback when a dependency is slow
Modernize the stack: move remaining services to current .NET, improve configuration management, add health checks, watchdogs and observability, and prepare the platform for cloud hosting
Build real automated test coverage across the protocol, serialization, session pipeline and stored procedures, using the meter simulator and harnesses, with QA
Requirements
Bachelor’s or master’s degree in computer science, Software Engineering, or related field
Nice to have: IoT or M2M back ends for field devices on cellular networks
We are looking for an experienced Senior iOS Engineer to join a dynamic and fast-growing technology environment, developing high-quality mobile experiences for a global user base.
Compensation
An annual wellness allowance of 3,500 SEK to support your health and wellbeing
Responsibilities
Design, develop and deliver user-facing iOS features using Swift, SwiftUI and UIKit
Apply modern concurrency principles, including async/await and structured concurrency, to build responsive and reliable applications
Translate complex technical and product requirements into robust, scalable solutions, working with real-time data, map interactions and push notifications
Contribute to architectural decisions, including MVVM, modularisation and dependency injection, helping evolve the codebase towards a modern, Swift-first architecture
Develop and maintain comprehensive unit, snapshot and UI tests to ensure high standards of code quality
Backend & AI Engineering (Python/LLM/RAG) - Senior Associate at PwC Acceleration Center India
Responsibilities
Developing innovative software solutions to drive digital transformation and enhance business performance
Designing, building the core intelligence and services layer of AI-powered enterprise applications
Developing scalable, asynchronous backend services (e.g., FastAPI) while building and owning multi-agent LLM pipelines that power capabilities such as document analysis, content generation, and Retrieval-Augmented Generation (RAG)-based Q&A within clean, modular Python codebases
Applying technical skills in Python to create efficient backend systems and AI-driven applications
Working closely with frontend, AI, and quality engineering teams across one or more product pods to design, implement, and scale agentic workflows, RAG pipelines, and the supporting data and job-processing infrastructure
Requirements
Nice to have: Experience building production LLM applications
Nice to have: Experience designing and optimizing multi-agent workflows using frameworks such as LangChain, LangGraph, or DeepAgents
Nice to have: Experience with vector databases such as ChromaDB
Nice to have: Familiarity with Azure services such as Azure Service Bus, Blob Storage
Nice to have: Exposure to Cursor, GitHub Copilot, GitHub Remote Agents
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