Jobs at Amach

Lead end-to-end delivery of a multi-workstream finance transformation programme: maintain roadmap, governance, budgets and benefits tracking; drive process improvement, ERP optimisation, technology evaluation, change management, stakeholder engagement, and executive reporting to realise measurable financial outcomes.

Embed with customer to improve MongoDB reliability and performance: review replica set and sharding architecture, profile and tune queries and indexes, validate backup/DR with timed restore drills, implement observability, SLOs and alerting, produce runbooks, and lead knowledge transfer.

Design, build, and configure Salesforce Agentforce solutions and AI-powered agent workflows. Integrate Agentforce with enterprise systems and APIs, translate business needs into scalable technical designs, optimize conversational workflows, and support testing, deployment, monitoring, security, and continuous improvement across cloud enterprise environments.

Embed with a customer to drive MongoDB reliability: assess replica set and sharding architecture, profile and tune queries and indexes, validate backup/DR with timed restores, implement observability, SLOs and alerting, produce runbooks, and transfer knowledge to customer teams.

Design, build and configure Salesforce Agentforce solutions and AI-enabled agent experiences. Integrate Agentforce with enterprise APIs and platforms, translate business requirements into scalable technical solutions, optimize conversational workflows, and support testing, deployment, monitoring, and continuous improvement while ensuring security, governance, and platform best practices.

Design, develop, and maintain Selenium-based automated test suites for backend services and APIs; integrate tests into CI/CD pipelines; validate integrations and data; log and track defects; collaborate with developers and product teams to improve test coverage and report regression status.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

Manage and maintain multi-site production infrastructure, ensuring security and high availability. Collaborate with developers and optimize systems using automation tools and cloud services.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

Lead architecture and development of a large-scale customer-facing Android app. Provide technical leadership, hands-on Kotlin development, mentor engineers, drive modern Android practices (Compose, modularization), oversee CI/CD and release automation, improve performance and reliability, and manage cross-team delivery and stakeholder communication.

Embedded with a customer in aviation, deliver financial planning, budgeting, forecasting, variance analysis, invoice reconciliation, vendor management, spend control, financial reporting, and identify cost‑reduction and process automation opportunities.

Embed with the customer to gather and document requirements, run workshops, translate technical and business needs, validate data quality using SQL and BI tools, maintain traceability and RAID logs, prioritise data initiatives, and ensure solutions address operational aviation challenges.

Design, implement and support scalable AWS infrastructure; lead migration of containerised apps to AWS ECS; build Terraform IaC; improve CI/CD with GitHub Actions; configure Datadog observability; enforce security and reliability best practices; troubleshoot production issues and drive platform improvements.

Manage and grow enterprise airline accounts as the day-to-day commercial and relationship lead. Own client satisfaction, retention, revenue targets, pipeline, forecasting, renewals, and senior stakeholder engagement while partnering with delivery, solution architecture, and account leadership.

Design, build, and maintain large-scale cloud-native data pipelines and lakehouse/warehouse solutions using Databricks, Spark/PySpark, Delta Lake and Snowflake. Collaborate with architects, product owners and data teams to implement ETL, data quality, governance, MLOps (MLflow) and BI integrations while ensuring best-practice CI/CD, version control and operational reliability.

The Senior DevOps Engineer will manage multi-site production infrastructure, implement cloud solutions, oversee system performance, and ensure security while collaborating with software development teams.

The Senior DevOps Engineer will manage multi-site infrastructure, support cloud migration, implement automation solutions, ensure security, and work collaboratively with developers.

Develop, prototype, and productionise optimisation and machine learning models for operational decision-support. Own end-to-end use cases, build data pipelines, ensure CI/CD and orchestration, engage stakeholders, and deliver production-grade solutions within an agile product squad.

The Incident Response Analyst manages incident response processes, communicates with stakeholders, assembles teams, allocates resources, and conducts post-incident reviews while ensuring continuous improvement.