Senior Platform Engineer

🏢 Summary: Entry-level AI Engineer role focused on building and maintaining backend services, CI/CD pipelines, and data/application integrations for a large-scale nuclear software platform (NOS). The position involves hands-on development, DevOps tasks, and contributing to AI-enabled data tooling while working closely with senior engineers. Candidates will gain experience with Palantir Foundry, cloud environments, and production-grade AI and integration systems. 🗂️ Requirements: Computer Science degree or equivalent, 0-2 years professional experience (internships, co-ops, projects), Strong fundamentals in at least one backend language (Python, TypeScript, Go, or Java), Hands-on exposure to CI/CD, version control, REST APIs, or system integrations, Experience building AI-based solutions beyond basic chat assistants, Ability to write production code and tests, Willingness to work in regulated industry context 📃 Skills: Python, TypeScript, Go, Java, CI/CD, REST, Git, DevOps, Palantir, Foundry, AWS, Databricks, Snowflake, LLM, AI, MCP 🏢 Description: About the role The Nuclear Company is hiring an AI Engineer 1 to help build and run the backend, data, and integration layers that NOS depends on. You will report to the Director of Platform Integrations and work in the Platform Integration & AI/Data squad. NOS is the software platform behind one of the largest nuclear buildouts in the United States, and the platform layer is what keeps it fast, reliable, and connected to the systems around it. This is a hands-on, entry-level role. You will work alongside the Platform Engineer and other senior engineers on CI/CD, backend services, and the data and application integrations that tie NOS to internal systems and external sources, taking well-scoped features end to end under senior code review. You will ramp on Palantir Foundry and the team's AI and data tooling, write production code, open pull requests, and grow into a specialization over time. Responsibilities First 90 Days: - Help build and maintain the application and data integrations that connect NOS to internal systems, partner APIs, and external data sources, working from well-scoped tickets under senior review. - Take ownership of scoped CI/CD and release tasks that keep NOS builds repeatable, tested, and traceable. - Do basic backend and DevOps work: build and fix backend services, write tests, and handle routine platform monitoring and maintenance. - Ramp on Palantir Foundry, the data ontology, and the MCP interfaces that let AI agents work against NOS data and start contributing to them. - Partner with the Platform Engineer, data scientists, AI/ML engineers, and product engineers, and grow from paired work toward independent delivery. Required Experience - Computer science degree or equivalent, with 0-2 years of professional experience (internships, co-ops, and project work count). - Strong fundamentals in at least one backend language (Python and/or TypeScript preferred; Go or Java also welcome). - Some hands-on exposure to basic DevOps and backend work: CI/CD, version control, REST APIs, or wiring systems together, from an internship, a job, or a personal project. - Has built something with AI beyond using a chat assistant: multi-step prompts, custom tools, AI in the codebase, or a small agentic project. - Good written and verbal communication, and willingness to learn the nuclear and regulated-industry context. Preferred Experience - Exposure to a major cloud (AWS preferred), including coursework or personal projects. - Coursework or project work in CI/CD, infrastructure as code, or configuration management. - Coursework or project work in LLMs, agentic systems, or data modeling. - Familiarity with Palantir Foundry, Databricks, or Snowflake. - Internship or project work in a regulated or mega-project industry (nuclear, aerospace, defense, energy, medical). Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $80,000 - $150,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

🏢 Summary: AI Engineer role focused on building and deploying ML models, LLM workflows, and AI agents inside a nuclear industry software platform. The position involves production-grade AI engineering, model evaluation, data pipeline development, and collaboration with engineering and domain experts on operational and safety-critical systems. Candidates will work with modern ML tooling, cloud platforms, and agent frameworks to support large-scale nuclear infrastructure projects. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or related technical field, 5+ years of professional experience shipping ML or AI features into production, Strong Python experience, Hands-on experience with modern ML and LLM tooling, Production experience with LLMs and AI agents, Experience with prompting, fine-tuning, RAG, evals, and tool use, Data engineering and data pipeline development experience, Experience working with large datasets, Experience with at least one major cloud platform, Strong written and verbal communication skills 📃 Skills: Python, PyTorch, HuggingFace, LLM, RAG, AWS, MLflow, SageMaker, VertexAI, MCP, Foundry, AIP, CI/CD 🏢 Description: About the role The Nuclear Company is hiring an AI Engineer to ship the machine learning and agent capabilities inside NOS, the software platform behind one of the largest nuclear buildouts in the United States. You'll work in the Platform Integration & AI/Data squad and report to the Director of Platform Integrations. This is a hands-on engineering role. You'll embed ML models and LLM-driven workflows directly into the NOS applications our internal teams and partners use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools that run across active TNC projects. You'll work close to the metal: training and fine-tuning models, designing agent workflows against NOS data and tools, wiring up MCP interfaces, and standing up the evals and monitoring that keep AI features safe in production. You'll partner daily with platform engineers, product engineers, and the nuclear domain experts who use what you ship. The team is small, the pace is fast, and the work is visible, what you build will be demoed to utilities, regulators, and financial partners making 20-to-30-year decisions about the future of American nuclear power. Responsibilities - Ship ML and AI features inside NOS. Train, fine-tune, and deploy models and LLM-based workflows into production, with the evals, monitoring, and safety controls that make them trustworthy. - Build AI agents and agent workflows. Design agents that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on. - Own model quality end-to-end. Define eval criteria, acceptance thresholds, and regression suites for AI features. Keep results reproducible and the bar high. - Partner across the squad. Work directly with platform engineers and product engineers so models reach production instead of staying in notebooks. - Contribute to the data ontology. Help shape how NOS data is structured so models and agents can use it reliably. - Build predictive and anomaly-detection models that support operations and engineering decisions, including time-series analysis of sensor and operational data from active projects. Required Experience - Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent production experience. - 5+ years of professional experience shipping ML or AI features into production. - Strong Python and hands-on experience with modern ML and LLM tooling (PyTorch, Hugging Face, or similar). - Production experience with LLMs and agents: prompting, fine-tuning, RAG, evals, tool use. - Solid data engineering fundamentals, comfortable building data pipelines and working with large, messy datasets. - Experience with at least one major cloud, AWS preferred. - Strong written and verbal communication. Preferred Experience - Experience with Palantir Foundry and AIP. - Experience building agent systems with MCP or similar tool-use frameworks. - MLOps experience (MLflow, SageMaker, Vertex AI) and CI/CD for models. - Experience in a regulated or safety-critical industry: nuclear, aerospace, defense, energy, or medical. - Background in time-series, sensor, or operational data. - Comfortable doing exploratory data analysis and translating findings into product decisions, in addition to shipping production models. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

🏢 Summary: The role focuses on securing modern applications, APIs, cloud workloads, and developer workflows within a nuclear energy environment. You will embed security into the SDLC, perform threat modeling and code reviews, harden CI/CD pipelines, and collaborate across engineering teams to manage vulnerabilities and protect sensitive data. This position combines hands-on application security, DevSecOps, and cloud security responsibilities in a regulated, mission-critical context. 🗂️ Requirements: 4+ years experience in application, product, or software security, Hands-on experience securing web applications, APIs, distributed systems, or cloud-native services, Strong knowledge of application security risks (authentication, authorization, injection, SSRF, insecure deserialization, secrets exposure, API security), Experience with secure SDLC tools (SAST, SCA, secret scanning, CI/CD security), Ability to read code in at least one language: Python, TypeScript, Go, Java, C#, or C++, Familiarity with AWS security concepts (IAM, encryption, logging, networking, secrets management, infrastructure-as-code), Experience performing threat modeling and security reviews, Understanding of offensive security principles 📃 Skills: Python, TypeScript, Go, Java, C#, C++, AWS, IAM, CodeQL, Dependabot, SAST, SCA, CI/CD, GitHub, OWASP, NIST, SOC2, IEC62443, NERCCIP 🏢 Description: About the role The Nuclear Company is searching for an Application Security Engineer to help secure the software, data systems, and developer workflows that power our Nuclear Operating System, internal platforms, and mission-critical applications. This is a high-ownership role for a builder who is equally comfortable reviewing application architecture, threat modeling APIs, improving GitHub security controls, and partnering directly with engineers to ship secure software quickly. You will work across product engineering, platform engineering, data science, infrastructure, and operations to embed security into the way we design, build, test, and deploy software. You will help define secure development standards, review high-impact product designs, harden CI/CD workflows, and guide teams through vulnerability remediation in a practical, risk-based way. This role reports to the Senior Manager for Application and Product Security. Responsibilities Application & Product Security - Perform security reviews and threat models for NOS modules, internal tools, APIs, data workflows, AI-enabled features, and cloud-connected applications. - Identify and remediate risks across authentication, authorization, tenant isolation, input validation, secrets handling, encryption, logging, and data access. - Review application designs and code changes for security issues before production. - Define reusable security patterns for web applications, APIs, mobile workflows, internal platforms, and data-heavy systems. - Establish secure-by-default approaches for applications supporting regulated, high-consequence infrastructure. Secure SDLC & Developer Enablement - Build and improve DevSecOps practices across the GitHub-based SDLC, including code scanning, dependency review, secret scanning, branch protections, CI/CD hardening, and secure workflows. - Create secure templates, checklists, automation, documentation, and lightweight review processes. - Triage and prioritize findings from SAST, SCA, secret scanning, penetration tests, code reviews, and internal assessments. - Develop vulnerability management workflows, remediation guidance, and engineering metrics. - Support secure coding education through design reviews, documentation, and developer partnership. Platform, Cloud & Data Security - Secure AWS workloads, infrastructure-as-code, service integrations, data pipelines, and deployment workflows. - Review integrations involving Palantir Foundry, partner APIs, internal data platforms, and AI-assisted engineering workflows. - Secure sensitive data flows across application, platform, and operational environments. - Ensure application events, audit logs, and security signals support investigation and response. - Navigate cybersecurity expectations within a regulated nuclear energy environment. Cross-Functional Partnership - Partner with software engineers, product managers, data engineers, infrastructure teams, and stakeholders. - Communicate risk clearly while balancing security and delivery speed. - Contribute to the application and product security roadmap as systems scale. - Help build a culture of ownership, velocity, and technical rigor. Experience - 4+ years in application security, product security, software security, or software engineering with strong security focus. - Experience securing modern software systems including web applications, APIs, distributed systems, or cloud-native services. - Strong understanding of authentication, authorization, access control, injection, insecure deserialization, SSRF, secrets exposure, dependency risk, and API security. - Experience with GitHub Advanced Security, CodeQL, Dependabot, SAST, SCA, secret scanning, and CI/CD security. - Ability to read at least one modern programming language (Python, TypeScript, Go, Java, C#, or C++). - Familiarity with AWS security concepts including IAM, logging, encryption, networking, secrets management, and infrastructure-as-code. - Strong communication skills and offensive security mindset. Preferred Qualifications - Experience securing software in regulated or mission-critical environments. - Familiarity with AI-assisted development tools, LLM-enabled applications, prompt injection risks, and AI supply chain concerns. - Experience with vulnerability management, penetration testing, DAST tools, or incident response. - Familiarity with OWASP ASVS, OWASP Top 10, OWASP API Security Top 10, NIST CSF, NIST 800-53, SOC 2, IEC 62443, or NERC CIP. - Security certifications such as AWS Certified Security – Specialty or OSWE. - Interest in nuclear energy and critical infrastructure. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $150,000 - $173,000 annually, less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications, and other relevant factors. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an inclusive workplace. Equal employment opportunities are provided without regard to protected characteristics. Discrimination in any aspect of employment is prohibited. Export Control Certain positions may involve access to information and technology subject to U.S. export controls. Compliance requirements may limit consideration of some applicants.

🏢 Summary: Senior Software Quality Engineer role focused on building automated testing, verification and validation, and compliance processes for a nuclear software platform in a regulated environment. The position involves developing test frameworks, integrating QA into CI/CD pipelines, supporting audits, and ensuring software quality and traceability standards. Candidates should have strong programming and test automation experience with modern QA tools and regulated systems. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, 5+ years of experience in software quality engineering, software testing, SDET, or V&V roles, Strong programming skills in Python, Java, C#, JavaScript, or TypeScript, Experience developing and maintaining automated test frameworks, Experience with Playwright, Cypress, Selenium, TestNG, PyTest, or similar testing tools, Experience testing APIs, databases, and distributed systems, Experience integrating automated testing into CI/CD pipelines, Experience with Git, Jira, Azure DevOps, or similar engineering tools, Ability to review and understand production software code, Strong documentation and audit-ready reporting skills, Experience supporting quality or regulatory audits 📃 Skills: Python, Java, C#, JavaScript, TypeScript, Playwright, Cypress, Selenium, TestNG, PyTest, API, SQL, Git, Jira, Azure, CI/CD, QMS, IEEE, IEC 🏢 Description: About the role The Nuclear Company is seeking a Senior Software Quality Engineer to help ensure the quality, reliability, traceability, and compliance of Nuclear Operating System (NOS), the software platform supporting one of the largest nuclear construction programs in the United States. This role combines software engineering, test automation, verification and validation (V&V), and quality assurance in a highly regulated environment. You will work closely with software engineers, product teams, and compliance leaders to build automated testing capabilities, verify software requirements, support audit readiness, and ensure digital systems meet the standards required for nuclear deployment. The ideal candidate is a strong engineer who enjoys building automation, improving quality processes, and working within rigorous compliance frameworks. Responsibilities Test Automation & Quality Engineering - Design, develop, and maintain automated test frameworks for web, API, data, and backend services. - Build and execute automated unit, integration, regression, and end-to-end test suites. - Integrate testing into CI/CD pipelines and release processes. - Develop performance, load, and reliability testing capabilities. - Establish quality metrics and reporting dashboards. Verification & Validation - Execute software verification and validation activities. - Validate software against documented requirements and acceptance criteria. - Ensure requirements are traceable through design, implementation, testing, and release. - Support release readiness reviews and quality gates. Quality Assurance & Compliance - Perform quality reviews and audits of software systems and development processes. - Support compliance with ASME NQA-1 and other applicable quality standards. - Verify configuration management, change control, and records management practices. - Prepare audit-ready documentation and objective evidence packages. Defect Management & Root Cause Analysis - Lead defect triage, investigation, verification, and closure activities. - Analyze quality trends and identify opportunities for process improvement. - Support root cause investigations and corrective action programs. - Reduce defect escape rates through improved automation and quality controls. Collaboration & Continuous Improvement - Partner with software engineers to improve testability and code quality. - Participate in design reviews and code reviews. - Help establish software quality best practices across engineering teams. - Support internal audits, external audits, and regulatory inspections. Required Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. - 5+ years of experience in software quality engineering, software testing, SDET, or software verification and validation roles. - Strong programming skills in Python, Java, C#, JavaScript/TypeScript, or similar languages. - Experience developing and maintaining automated test frameworks. - Experience with modern testing tools such as Playwright, Cypress, Selenium, TestNG, PyTest, or equivalent. - Experience testing APIs, databases, and distributed systems. - Experience integrating automated testing into CI/CD pipelines. - Experience with Git, Jira, Azure DevOps, or similar engineering tools. - Ability to read, understand, and review production software code. - Strong written communication and documentation skills, the ability to produce audit-ready documentation. - Experience preparing for and supporting quality or regulatory audits. Preferred Experience - Experience working in regulated industries such as nuclear, aerospace, defense, medical devices, energy, or industrial systems. - Familiarity with ASME NQA-1 quality requirements. - Experience in nuclear or a U.S. Department of Energy environment. - Familiarity with safety-critical software standards such as IEEE 1012, IEC 61508, or IEC 60880. - Familiarity with cybersecurity, performance, or reliability testing. - Experience supporting quality audits, regulatory inspections, or compliance programs. - Experience with requirements management and traceability systems. - Experience testing AI/ML-enabled software systems. - Understanding of ITAAC, nuclear construction quality programs, or NRC-regulated environments. - Experience with quality management systems (QMS) and records control platforms. Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range - $121,000 - $165,000 annually EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating a scalable internal developer platform on AWS, combining DevOps and development expertise. The role focuses on Infrastructure as Code, multi-account cloud governance, CI/CD automation, container platforms, and secure networking. The engineer will enable distributed teams through self-service tools, platform standards, and reliable production operations. 🗂️ Requirements: 4+ years experience as Platform Engineer or DevOps Engineer, Hands-on experience with AWS multi-account environments, Strong expertise in Terraform (modules, state management, guardrails), Experience operating EKS and/or ECS in production, Experience with CI/CD and GitHub-based workflows, Knowledge of OIDC and least-privilege deployment patterns, Understanding of IAM, SCPs, permissions boundaries, Experience with cloud security and secure networking, Experience with monitoring, logging, alerting, incident handling, Professional development experience in Java, Kotlin, Node.js or TypeScript, Ability to work with container-based workloads 📃 Skills: AWS, Terraform, EKS, ECS, CI/CD, GitHub, OIDC, IAM, SCP, VPC, TGW, Route53, SSO, CDK, Java, Kotlin, Spring, Node.js, TypeScript, Docker, Kubernetes 🏢 Description: Job Purpose We are looking for a Senior Platform Engineer with strong DevOps experience , combining deep operational expertise with a development background. You are comfortable working at the intersection of infrastructure, security, and application development, and you enjoy enabling other teams to move faster through well-designed platforms and abstractions. You bring both a builder and operator mindset: you design scalable systems, automate everything possible, and take ownership of platform reliability in production. We offer B2B Contract (remote) or Offer of Employment/Umowa o prace (4 days mandatory working from our office in Kraków) - details to be discussed with your recruiter. Key Responsibilities Build and maintain core platform components (SSO, Access Management, clusters, networking, CI/CD, observability). Own Terraform modules, baseline configurations, and guardrails for distributed teams. Design and evolve platform “golden paths” — secure defaults, templates, and standards. Maintain platform IaC (Terraform, modules, state design, multi-account governance). Integrate with team-owned CDK stacks through stable platform contracts. Lead evolution of platform abstraction layers and service catalogs. Design and manage multi-account AWS landing zone (Orgs, SCPs, permissions boundaries). Own developer onboarding patterns (IAM SSO access, automation, pipelines). Build safe cross-account deployment workflows (GitHub OIDC, least privilege). Design and operate ECS and EKS clusters used by hundreds of services. Establish best practices for container execution, networking, autoscaling Manage central networking components (VPC, TGW, Route53). Ensure secure east–west communication between workloads in different accounts. Provide self-service tools and templates for teams (pipelines, service definitions, actions). Abstract platform complexity to enable fast and safe deployments for all teams. Own documentation, workshops, patterns, and architectural guidance. Operate and evolve platform-wide logging, metrics, and tracing systems. Ensure operational standards for platform components. You are meant for this job if: Strong experience as a Platform Engineer / DevOps Engineer operating production systems at scale Proven +4 years hands-on expertise with AWS , especially multi-account environments and organizational governance Deep understanding of Infrastructure as Code , particularly Terraform (modules, state management, guardrails) Solid experience running and operating EKS and/or ECS in production Strong background in CI/CD , GitHub-based workflows, and secure deployment patterns (OIDC, least privilege) Experience designing developer platforms and internal tooling for self-service and standardization Strong understanding of cloud security , IAM, SCPs, permissions boundaries, and secure networking Operational excellence mindset: monitoring, logging, alerting, SLOs, and incident handling In addition to infrastructure and operations, you have hands-on development experience , allowing you to collaborate closely with application teams and design pragmatic platform contracts: Professional experience developing services in one or more of: Java / Kotlin (Spring Boot) Node.js / TypeScript Familiarity with modern API design, service runtime concerns, and container-based workloads Ability to read, debug, and contribute to application code when needed

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: Remote Data Engineer role focused on building and evolving an internal data platform that enables secure, governed, and scalable access to data for software development and analytics teams. The position involves designing, implementing, and maintaining AWS-based data infrastructure, data pipelines, and platform services while ensuring compliance, resiliency, and automation. The role also includes architectural improvements, mentorship, and driving best practices in modern data architectures. 🗂️ Requirements: B.S. in Computer Science or equivalent experience, 4+ years of SQL experience, 4+ years of relational database design and programming (PostgreSQL, MySQL), Experience managing AWS data infrastructure (S3, RDS, Kafka, Glue, Athena, etc.), Experience in software development or systems engineering (Java, JavaScript, Python, PHP), Experience with modern API platform design and security practices, Knowledge of event-driven architecture and change data capture, Legal authorization to work in the United States without visa sponsorship 📃 Skills: SQL, PostgreSQL, MySQL, PL/pgSQL, AWS, S3, RDS, Kafka, Glue, Athena, Quicksight, DataZone, Java, JavaScript, Python, PHP, API, CI/CD, Docker, Kubernetes, Terraform, NetSuite, Salesforce, Workday, Pendo, Grafana, Kibana, Elasticsearch, OpenTelemetry, ETL, Boomi, HIPAA, PCI, SEC, FINRA, Agile, Kanban 🏢 Description: About SRS Acquiom SRS Acquiom delivers the smartest way to run a deal™ through a platform and services designed to help deal parties manage complex M&A and loan agency transactions more efficiently. Based in Denver, Colorado, with offices across the United States and in London and Amsterdam, SRS Acquiom supports transactions across North America and Europe. Our M&A services include professional shareholder representation, paying and escrow agent services, and online document solicitation and reporting. For loan and credit transactions, we provide independent Administrative Agent, Collateral Agent, Sub-Agent, and Successor Agent services. Since 2007, SRS Acquiom has supported more than 11,500 transactions globally. By bringing efficiency, expertise, and purpose-built technology to complex financial transactions, we help sophisticated deal parties focus on building great businesses and maximizing value. We're equally committed to building careers as we are to building solutions. If you're looking for a company with entrepreneurial energy, a proven record of growth and innovation, and a culture that supports your next career move, we'd love to talk. A few benefits our employees enjoy Day‑one coverage: medical, dental, and vision plans so you're protected from the start A 401(k) with a 4% company match to keep your future on track Discretionary time off - take the time you need, when you need it Employer‑paid life insurance, with the option to add extra coverage for peace of mind Employee Assistance Programs for confidential support when life gets complicated Discounted pet insurance (because furry family members count, too) A fitness credit to back your health and wellness goals Pre‑tax plans for dependent care, transportation, and flexible spending Position Summary We are growing our Platform Engineering team and are looking to add a Data Engineer who will be able to help build our internal data platform. This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Data Engineer on the Platform Team, you will be a part of driving the design, development, and implementation of our data platforms. Your responsibilities include partnering with the architect and engineering teams in developing our platform, as well as providing best practices and approaches to ensure security, resiliency, and availability of solutions. You will be challenged to create strategies that ensure the secure consumption of the platform through continuous innovation, simplification, and self-service automation. Location: This position is fully remote within the Continental United States. In-person visits to the Denver headquarters are required, on average three times per year. Compensation: The salary range for this position is between $125k and $140k, depending on experience level. Primary Responsibilities Participate in all initiatives keeping all compliance, security and regulatory needs satisfied Be a thought leader by staying abreast of current and emerging technologies and industry trends. Work with your peers to design and build data platform capabilities and incorporate the necessary automations and tool configurations that ensure agile delivery and secure consumption Design and implement processes and tools that enable product engineering and BI/Analytics teams to consume an extensible and scalable data platform, which enforces all needed governance and consistent operational models Be a trusted advisor for initiatives by providing objective, practical, and relevant ideas, insights, and advice while also building organizational partnerships and networks to ensure comprehensive capabilities are developed with input from appropriate business and Engineering resources Directly support the use and delivery of data platform services in the organization Ensure that all data platform solutions follow established security and compliance controls Maintain existing and future software services code and configuration Make recommendations for improvements to existing architecture Help implement new technologies for future deployment Provide technical guidance, knowledge transfers, and mentorship to clients on their data platform adoption Help implement and improve the development of data pipelines Other duties as assigned Required Qualifications & Skills B.S. in Computer Science or equivalent experience 4+ years of experience with and strong working knowledge of SQL required, and understanding of data models 4+ years of experience with or strong knowledge of Postgresql, MySQL, or other relational database design and programming: stored procedures, functions, PL/pgSQL Experience with or working knowledge of managing AWS Data Infrastructure: S3, RDS, Managed Streaming Kafka, Lake Formation, Glue, Glue Data Catalog, Athena, Quicksight, DataZone Experience with systems engineering and/or software development: Java, Javascript, Python, PHP Experience with modern API platform design, security practices, and data architectures: event-driven architecture, change data capture, pub/sub Preferred Qualifications & Skills Experience with cloud solution design patterns: CI/CD, Docker, Kubernetes, containers, microservices, distributed caching Experience with Terraform scripting Experience with data integrations from third-party platforms: NetSuite, Salesforce, Workday, Pendo Experience with reporting and analytic tools: Grafana, Kibana, Elasticsearch, Open Telemetry Experience with ETL processes, projects, and tooling: Boomi Understanding of systems hardening and secure systems configuration Experience with regulatory compliance standards: HIPAA, PCI, SEC, FINRA Excellent written and verbal communication skills, with the ability to present complex technical information in a clear and concise manner to a variety of audiences Understanding of Agile/Kanban methodologies Desired Characteristics Self-motivated Intellectually curious Collaborative Amiable Operates with the highest integrity and attention to detail Passionate about efficient, scalable business processes Ability to prioritize and multitask across many projects Physical Requirements/Special Demands Must be available to work standard business hours and occasional nights/weekends. Travel is required up to three times per year ** We are unable to sponsor or take over sponsorship of employment visas. Candidates must be legally authorized to work in the United States without the need for current or future visa sponsorship to move forward in the hiring process. ** Fraud & spam screening. We use tools in our applicant tracking system to help detect potentially fraudulent or spam applications. These tools analyze limited technical and contact information (such as IP address, device/browser signals, and email/phone characteristics) to flag patterns that may indicate automated, inauthentic, or suspicious activity. Flags are used to prioritize human review and do not, by themselves, determine hiring outcomes. Learn more in our Privacy Policy. This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without advanced notice. With respect to its programs, services, activities, and employment practices, SRS Acquiom Inc. assesses qualified individuals without regard to their race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), age, national origin, disability, veteran status, genetic information, or other protected status. Requests for reasonable accommodation or the provision of auxiliary aids should be directed to Human Resources.

🏢 Summary: The offer is for a Platform Engineer responsible for building and evolving enterprise-grade DevOps platforms that enable scalable CI/CD, GitHub-based workflows, and AI-driven automation across a multi-cloud environment. The role focuses on improving developer productivity, delivery speed, and system reliability by standardizing and modernizing SDLC processes. You will design reusable platform components and migrate legacy CI/CD systems to modern solutions. 🗂️ Requirements: 5+ years experience in software engineering, DevOps, infrastructure, or platform engineering, Strong programming skills in Python or Groovy, Deep knowledge of CI/CD systems and end-to-end pipeline design, Advanced knowledge of Git and GitHub including GitHub Actions and repository management, Experience designing and supporting reusable automation components, Experience refactoring and migrating legacy CI/CD pipelines, Hands-on experience with Azure, Experience with containerization and orchestration, Experience with Infrastructure as Code tools, Ability to work in hybrid model with on-site presence once per week 📃 Skills: Python, Groovy, CI/CD, Git, GitHub, GitHubActions, Jenkins, Groovy, Azure, AWS, GCP, Docker, Kubernetes, Terraform 🏢 Description: We are looking for an accomplished Platform Engineer to join a highly skilled team building mission‑critical systems in a fast‑growing environment. This role focuses on empowering R&D teams by creating scalable, platform‑centric CI/CD solutions , modern GitHub‑based workflows , and intelligent automation across the Software Delivery Life Cycle (SDLC) . You will be responsible for designing and evolving internal DevOps platforms that significantly improve developer productivity, delivery speed, system reliability, and cost efficiency. Working closely with architects, Product DevOps teams, and engineering groups, you will help drive a shift toward standardized, reusable, and AI‑assisted DevOps capabilities within a complex, multi‑cloud ecosystem. Key Responsibilities Architect and implement enterprise‑grade DevOps platforms supporting multiple development teams and repositories Build, scale, and maintain CI/CD workflows using GitHub Actions and modern DevOps tooling Design reusable, maintainable platform components and shared automation, favoring structured and object‑oriented solutions over ad hoc scripting Introduce AI‑first approaches to enhance pipeline intelligence, developer feedback loops, and operational efficiency Reduce friction in the SDLC by simplifying tooling, automating repetitive tasks, and improving platform reliability Partner with engineering teams to promote GitHub best practices , including repository management and delivery automation Analyze, refactor, and modernize existing CI/CD implementations (e.g. Jenkins, Groovy‑based pipelines) and guide their evolution toward newer platforms Contribute to the ongoing development of a multi‑cloud strategy (Azure today, AWS planned), including SaaS and on‑premise environments Provide guidance on platform stability and DevOps cost optimization Requirements 5+ years of hands‑on experience in software engineering, DevOps, infrastructure, or platform engineering roles Strong development skills in at least one of the following languages: Python or Groovy Deep understanding of CI/CD systems and experience building end‑to‑end application delivery pipelines Advanced knowledge of Git and GitHub , including: GitHub Actions Repository and workflow management GitHub Advanced Security Experience operating at scale within large organizations with distributed teams and numerous repositories Proven ability to design, test, version, and support automation components used by other engineering teams Practical experience reading, refactoring, and migrating legacy CI/CD codebases Solid understanding of cloud platforms ( Azure preferred; AWS or GCP experience is a plus ) Hands‑on experience with container technologies and orchestration Familiarity with Infrastructure as Code and CI/CD tooling (e.g. Terraform, Jenkins, Git‑based workflows) Willingness to work in a hybrid model, including on‑site presence at the office once per week What can we offer Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group’s companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.