Senior Software Engineer

Senior Software Engineer Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation.We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering.You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter.Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.Project We are looking for a Senior Software Engineer to work on a project in the Online Classifieds & Digital Marketplaces.The project involves distributed teams developing new technologies to solve real business problems, embedded with product and engineering teams across multiple marketplaces to deliver measurable outcomes, accelerate software development through AI agents, and establish the foundations of agentic engineering at scale.What you will do Ship agent-built features, migrations, refactors, and new product flows into production.Embed within engineering teams and deliver measurable business outcomes.Design and orchestrate agent ecosystems, including tools, context, evaluations, and feedback loops.Transform product and engineering goals into autonomous agent workflows.Work across technologies including GCP, Java, Flutter, and Golang to support engineering teams and accelerate delivery.Automate patching, upgrades, and maintenance activities across the technology stack, reducing manual effort while maintaining feature delivery velocity.Help improve engineering effectiveness through measurable gains in deployment frequency, lead time, change failure rate, and recovery time (DORA metrics).Create reusable skills, scaffolds, runbooks, and evaluation frameworks that scale across teams.Share best practices and coach engineers through hands?on collaboration.Experiment rapidly with new agentic development approaches and tools.Measure and improve engineering performance through metrics such as throughput, cycle time, defect rate, and time?to?merge.Own outcomes and demonstrate the impact of agentic engineering with data.What you will bring Strong software engineering experience with a track record of shipping production systems used by real customers.Hands?on experience with AI?assisted development tools such as Claude Code, Codex, Cursor, Aider, or similar.Experience working with technologies across our stack, including Google Cloud Platform (GCP), Java, Flutter, and/or Golang.Proficiency in at least two of the following areas: backend development, frontend development, cloud infrastructure, DevOps, or data systems.Ability to quickly understand complex codebases and deliver value in unfamiliar environments.Experience building, testing, and validating software with a strong focus on quality and measurable outcomes.Knowledge of modern software delivery practices including CI/CD, observability, feature flags, incident management, and production operations.Strong problem?solving skills with the ability to identify when AI agents provide leverage and when simpler solutions are more effective.Experience automating engineering workflows, reducing operational toil, and improving software delivery performance.Excellent communication and stakeholder management skills, with the ability to work effectively across engineering, product, and business teams.A proactive, entrepreneurial mindset with a bias toward action, experimentation, and continuous improvement.Strong judgment, attention to detail, and a data?driven approach to decision?making.Nice to have Experience building internal developer platforms, engineering productivity tools, or automation frameworks.Previous experience introducing AI?assisted development practices within engineering teams.Contributions to open?source projects, developer tooling, or AI agent ecosystems.Familiarity with evaluation frameworks, benchmarking, and measuring AI system performance.Experience mentoring engineers and driving engineering best practices through influence rather than authority.Knowledge of marketplace, e?commerce, classifieds, or consumer internet platforms.Experience designing and operating multi?agent workflows or autonomous systems in production environments.Public speaking, technical writing, or community involvement related to AI, software engineering, or developer productivity.Curiosity for emerging AI technologies and a track record of rapidly adopting new tools and ways of working.Experience working in lean, high?impact teams focused on scaling engineering output and productivity.What we offer 100% Remote WorkWFH allowance: Monthly

Create reusable skills, scaffolds, runbooks, and evaluation frameworks that scale across teams.Share best practices and coach engineers through hands?on collaboration.Experiment rapidly with new agentic development approaches and tools.Measure and improve engineering performance through metrics such as throughput, cycle time, defect rate, and time?to?merge.Own outcomes and demonstrate the impact of agentic engineering with data.What you will bring Strong software engineering experience with a track record of shipping production systems used by real customers.Hands?on experience with AI?assisted development tools such as Claude Code, Codex, Cursor, Aider, or similar.Experience working with technologies across our stack, including Google Cloud Platform (GCP), Java, Flutter, and/or Golang.Proficiency in at least two of the following areas: backend development, frontend development, cloud infrastructure, DevOps, or data systems.Ability to quickly understand complex codebases and deliver value in unfamiliar environments.Experience building, testing, and validating software with a strong focus on quality and measurable outcomes.Knowledge of modern software delivery practices including CI/CD, observability, feature flags, incident management, and production operations.Strong problem?solving skills with the ability to identify when AI agents provide leverage and when simpler solutions are more effective.Experience automating engineering workflows, reducing operational toil, and improving software delivery performance.Excellent communication and stakeholder management skills, with the ability to work effectively across engineering, product, and business teams.A proactive, entrepreneurial mindset with a bias toward action, experimentation, and continuous improvement.Strong judgment, attention to detail, and a data?driven approach to decision?making.Nice to have Experience building internal developer platforms, engineering productivity tools, or automation frameworks.Previous experience introducing AI?assisted development practices within engineering teams.Contributions to open?source projects, developer tooling, or AI agent ecosystems.Familiarity with evaluation frameworks, benchmarking, and measuring AI system performance.Experience mentoring engineers and driving engineering best practices through influence rather than authority.Knowledge of marketplace, e?commerce, classifieds, or consumer internet platforms.Experience designing and operating multi?agent workflows or autonomous systems in production environments.Public speaking, technical writing, or community involvement related to AI, software engineering, or developer productivity.Curiosity for emerging AI technologies and a track record of rapidly adopting new tools and ways of working.Experience working in lean, high?impact teams focused on scaling engineering output and productivity.What we offer 100% Remote WorkWFH allowance: Monthly

Senior Software Engineer Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering.