At a Glance
- Tasks: Design and develop innovative software solutions using cutting-edge AI and cloud technologies.
- Company: Join Altus Group, a leader in tech innovation with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible work options, and extensive professional development opportunities.
- Other info: Be part of a diverse team that values inclusivity and personal growth.
- Why this job: Make a real impact by leveraging AI to solve complex business challenges.
- Qualifications: Experience in software engineering, cloud-native development, and AI systems is essential.
The predicted salary is between 60000 - 90000 £ per year.
Compensation Range: 60,000 - 90,000
Compensation Disclaimer: The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives.
Job Summary: The Senior Software Engineer is a senior technical contributor responsible for designing, developing, and maintaining complex, AWS-native software systems within their area of ownership. This role combines deep hands-on software engineering expertise with strong cloud, data engineering, and AI capabilities. The Senior Software Engineer drives architectural decisions, delivers high-quality production code, and champions engineering excellence through rigorous testing, code reviews, and operational best practices.
As an AI-first engineer, they leverage AI agents, agentic workflows, and AI-assisted development tools to accelerate software delivery, automate engineering processes, and solve complex business challenges. The role requires a strong foundation in data engineering and cloud-native development, as well as the ability to build scalable, reliable, and observable systems that support modern software products and platforms.
Key Responsibilities:
- Software Engineering & Technical Leadership
- Design, develop, and maintain scalable, secure, and reliable software applications and services.
- Own the technical design and implementation of complex software systems from conception through production.
- Drive architectural decisions balancing scalability, maintainability, performance, and reliability.
- Write, review, and improve high-quality production code while promoting engineering best practices.
- Provide constructive technical guidance and code review feedback, including validation of AI-generated code.
- Champion software engineering excellence through testing, automation, documentation, and continuous improvement.
- AI-Native Software Development
- Build production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.
- Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices.
- Identify manual or repetitive engineering processes and transform them into scalable AI-powered solutions.
- Design, implement, and maintain evaluation frameworks for AI systems, including regression testing, evaluation datasets, LLM-as-judge methodologies, and human-in-the-loop review processes.
- Ensure AI-powered software solutions meet the same standards for quality, reliability, security, and testing as traditional software applications.
- Cloud & Data Engineering
- Build and operate cloud-native software solutions utilizing AWS services such as Lambda, ECS, RDS, S3, SQS, API Gateway, and CloudWatch.
- Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms.
- Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools.
- Drive observability, monitoring, logging, and operational readiness across software platforms and services.
Key Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related field, or an equivalent combination of education and practical experience.
- Proven experience as a Senior Software Engineer designing, building, and supporting complex production systems.
- Strong hands-on software development experience using modern programming languages such as Python, Java, Node.js, or similar.
- Experience designing and implementing distributed systems, APIs, and microservices architectures.
- Extensive experience developing cloud-native applications and services within AWS environments.
- Strong background in data engineering, including data modeling, ETL development, pipeline design, and large-scale data processing.
- Demonstrated experience building and deploying production-grade AI agents and agentic systems that solve real-world business challenges.
- Required experience developing evaluation and testing frameworks for LLM and AI-agent solutions, including regression testing, evaluation datasets, and model performance validation.
- Experience leveraging AI-assisted development practices and transforming manual engineering workflows into automated solutions.
- Experience with infrastructure as code, CI/CD pipelines, observability tools, and operational best practices.
- Excellent problem-solving, collaboration, and communication skills with the ability to influence technical decisions across teams.
Unlock your Altus Experience! If you’re looking to advance your career in an industry that is transitioning for greatness, there’s no better place than Altus Group. Our high trust, high performance culture prioritises progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognised and connected. We offer boundless opportunities in a rapidly growing global business: mentorship from the best and brightest in CRE, access to our Altus Intelligence Academy, and the chance to work with the best data sets, tools and technology in the industry.
What Altus Group offers:
- Rewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritising mental, physical, and financial well-being.
- Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.
- Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office for collaboration and remote work for focused tasks.
Inclusivity & Accessibility
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation, please contact us at accessibility@altusgroup.com or +1 888 692 7487.
Use of Artificial Intelligence
AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional.
Background Checks
Please note that as part of our commitment to maintaining a safe and secure workplace, Altus Group may conduct background checks on candidates who receive a conditional offer of employment. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history (where relevant), and reference checks. The scope and nature of background checks may vary depending on the role, location, and applicable laws. All background checks will be conducted in compliance with local laws and regulations, and candidates will be informed of any checks required as part of the recruitment process.
Other Notes / Application Process
We appreciate all applicants; however, only those selected to move forward will be contacted. Thank you for your interest in Altus Group.
Summary Location: 954 – Manchester Type: Full time
Senior Software Engineer in Manchester employer: Reonomy
Altus Group is an exceptional employer, offering a dynamic and inclusive work environment in London that prioritises professional growth and development. With access to over 150,000 hours of learning content through the Altus Intelligence Academy, employees are empowered to enhance their skills while enjoying a flexible work model that balances office collaboration with remote focus time. The company's commitment to diversity, equity, and inclusion ensures that all team members feel valued and supported, making it an ideal place for those seeking meaningful and rewarding careers in commercial real estate advisory.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer in Manchester
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Reonomy or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Reonomy.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Reonomy.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Reonomy that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Reonomy.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Reonomy and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Reonomy
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Reonomy uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
