{"id":1485683,"url":"https://alion.io/job/altus-group-senior-software-engineer","title":"Senior Software Engineer","company":{"id":58119,"name":"Altus Group","domain":"altusgroup.com","url":"https://alion.io/company/altus-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":{"min":60000,"max":90000,"currency":"GBP","period":"year","gross":null,"usd_annual":119063},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-29T23:06:29Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-08T20:38:35Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Compensation Range:\n£60,000 - £90,000\nCompensation Disclaimer:\nThe 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.\nJob Summary:\nThe 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.\nAs 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.\nKey Responsibilities:\nSoftware Engineering & Technical Leadership\nDesign, develop, and maintain scalable, secure, and reliable software applications and services.\nOwn the technical design and implementation of complex software systems from conception through production.\nDrive architectural decisions balancing scalability, maintainability, performance, and reliability.\nWrite, review, and improve high-quality production code while promoting engineering best practices.\nProvide constructive technical guidance and code review feedback, including validation of AI-generated code.\nChampion software engineering excellence through testing, automation, documentation, and continuous improvement.\nAI-Native Software Development\nBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.\nApply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices.\nIdentify manual or repetitive engineering processes and transform them into scalable AI-powered solutions.\nDesign, implement, and maintain evaluation frameworks for AI systems, including regression testing, evaluation datasets, LLM-as-judge methodologies, and human-in-the-loop review processes.\nEnsure AI-powered software solutions meet the same standards for quality, reliability, security, and testing as traditional software applications.\nCloud & Data Engineering\nBuild and operate cloud-native software solutions utilizing AWS services such as Lambda, ECS, RDS, S3, SQS, API Gateway, and CloudWatch.\nDesign, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms.\nImplement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools.\nDrive observability, monitoring, logging, and operational readiness across software platforms and services.\nKey Qualifications:\nBachelor's degree in Computer Science, Software Engineering, Engineering, or a related field, or an equivalent combination of education and practical experience.\nProven experience as a Senior Software Engineer designing, building, and supporting complex production systems.\nStrong hands-on software development experience using modern programming languages such as Python, Java, Node.js, or similar.\nExperience designing and implementing distributed systems, APIs, and microservices architectures.\nExtensive experience developing cloud-native applications and services within AWS environments.\nStrong background in data engineering, including data modeling, ETL development, pipeline design, and large-scale data processing.\nDemonstrated experience building and deploying production-grade AI agents and agentic systems that solve real-world business challenges.\nRequired experience developing evaluation and testing frameworks for LLM and AI-agent solutions, including regression testing, evaluation datasets, and model performance validation.\nExperience leveraging AI-assisted development practices and transforming manual engineering workflows into automated solutions.\nExperience with infrastructure as code, CI/CD pipelines, observability tools, and operational best practices.\nExcellent problem-solving, collaboration, and communication skills with the ability to influence technical decisions across teams.\nUnlock your Altus Experience!\nIf you’re looking to advance your career in in an industry that is transitioning for greatness, there’s no better place than Altus Group.\nOur high trust, high performance culture prioritizes progressive programs that empower you to deliver your greatest performance while promoting collective success where everyone is recognized and connected.\nWe 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.\nWhat Altus Group offers:\nRewarding performance: competitive compensation, incentive and bonus plans, and a total rewards package prioritizing mental, physical, and financial well-being.\n\nGrowth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.\n\nFlexible 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.\n\nInclusivity & Accessibility\nAltus 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  or +1 888 692 7487.\nUse of Artificial Intelligence\nAI 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.\nBackground Checks\nPlease 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.\nOther Notes / Application Process\nWe appreciate all applicants; however, only those selected to move forward will be contacted. 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