Description and Requirements TBD About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! #BI-Hybrid

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Platform Engineer, you’ll play a pivotal role in shaping the future of our engineering platform. You’ll join a foundational Platform Engineering team focused on building and operating the tools that power development across the organization—from source control to continuous deployment. As the platform scales, you’ll drive improvements to engineering velocity, streamline deployment workflows, and strengthen the reliability and scalability of our infrastructure. You’ll take on complex infrastructure challenges, lead high-impact migrations, and expand automation across a rapidly growing engineering ecosystem. What You'll Do - Own and evolve our source control platform (Bitbucket and GitHub), including leading our migration to a modern GitHub-based SCM supporting GitOps workflows. - Design, build, and continuously improve deployment pipelines and GitOps tooling using technologies like FluxCD, ArgoCD, and Jenkins. - Manage and optimize Kubernetes infrastructure across a large-scale, multi-cluster environment, leveraging Helm Charts to streamline deployments. - Develop and maintain automation and operational tooling, primarily using Python, to improve system efficiency and reliability. - Apply Infrastructure as Code principles to provision and manage cloud infrastructure across Google Cloud Platform and Amazon Web Services. - Partner with product managers and engineers to plan features, break down complex initiatives, and deliver solutions aligned with business and technical priorities. - Review code and provide technical guidance to elevate engineering standards and support team growth. - Drive platform reliability, scalability, and developer productivity through thoughtful architecture, tooling, and automation. What you’ll bring - A Bachelor’s Degree in Computer Science or a related field, or an equivalent combination of education, experience, and training. - At least 3 years of professional experience in DevOps or Platform Engineering, with hands-on expertise in infrastructure tooling. - Strong experience working with Kubernetes and containerization technologies, including managing and scaling production deployments. - Proficiency in GitOps practices and tools such as FluxCD or ArgoCD. - Experience building and maintaining CI/CD pipelines, ideally using tools like Jenkins and Artifactory. - Expertise in Infrastructure as Code, with hands-on experience using Terraform. - Experience working with cloud platforms such as Amazon Web Services or Google Cloud Platform, including secrets management solutions like AWS Secrets Manager. - Familiarity with source control platforms such as GitHub or Bitbucket, along with exposure to observability tools like Datadog; experience with database migration tooling such as Flyway or Grate, or dependency management automation tools like Renovate, is considered an advantage. #LI-OK1 Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

Aha! is the world's #1 product development software. We help more than 1 million product builders to bring their strategy to life. Our integrated tools empower teams to go from discovery to delivery. The suite includes Aha! Roadmaps, Aha! Discovery, Aha! Ideas, Aha! Whiteboards, Aha! Builder, Aha! Develop, Aha! Teamwork, and Aha! Knowledge. Product teams rely on our expertise, AI assistant, and training programs via Aha! Academy to do their best work. We are proud to be a very different type of high-growth SaaS company. The business is self-funded, profitable, and 100% remote. We are recognized as one of the best fully remote companies to work for, champion the Bootstrap Movement, and have given over $1.5M to people in need through Aha! Cares. Learn more at www.aha.io. Our team Aha! engineering is a mid-sized, fully remote team that is highly productive. We are centered around North American time zones so we can collaborate during the workday. - We move quickly: We ship code multiple times a day. We believe in getting new features in front of customers and iteratively improving as we learn what works and what does not. - We collaborate: We each bring unique experiences and skills to the table. Working together to share that knowledge benefits the entire team and helps us produce the best results for our customers. - We value product over process: We want the team to have the time and focus to solve complex challenges. We aim to minimize the overhead introduced by heavyweight processes and excessive meetings. - We enjoy: We like what we do. And we want you to love your job too. Learn more about The Responsive Method, our company values, and the generous benefits we offer. Our technology Our web application is a single-instance, multi-tenant Ruby on Rails monolith supported by Postgres (database), Redis (background jobs), memcached (Rails caching), and Kafka. We also run a Node.js webserver to support collaborative editing and real-time updates. Our application is hosted on Amazon Web Services and architected with ECS for reproducibility and scalability. We embrace new technologies that help us deliver a lovable product, but we also remain cognizant of the maintenance overhead that a new library or platform brings. We solve the problems in front of us rather than prematurely optimizing to address issues that may never materialize. That said, some of the largest companies in the world store a large amount of their precious strategic data in Aha!, so we do plenty of optimizing too. We do most of our planning and collaboration in Aha! Roadmaps and built Aha! Develop so that software engineers and their teams could take advantage of those same rich features. We use Slack and Zoom for video calls. (Email? Rarely.) Your experience We believe that being a kind person who elevates the rest of the team is just as valuable as writing great code. You have strong problem-solving skills and experience working on important functionality for a cloud-based product. You are humble, eager to learn, and always willing to help others learn as well. You want to work with people who enjoy picking up a problem and solving it, regardless of the technologies and techniques involved. You have worked at meaningful scale before and want to do so again. You also have the below experience and skills: - Four+ years of experience working in Ruby on Rails as well as Rails codebase - Managing AWS infrastructure using terraform - Using containerization and build systems - Producing fast, efficient, and reliable services - Writing high-performance systems based on Kafka Your work at Aha! As Sr. Platform Engineer, you will support the rest of the engineering team by developing abstractions, frameworks, and tools which help other Aha! engineers build the product. This includes: - Building developer tooling such as CI pipelines, local and staging environments, and helpful CLI tools. You will also assist the SRE team in building out monitoring and observability pipelines. - Building infrastructure services to be used by Aha! product developers. This will usually include writing a reference architecture in our main Rails app. - Working with the SRE team to write and maintain well-written production runbook and operations documentation - Consulting with application developers on performance optimization or scaling challenges If the Sr. Platform Engineer role sounds appealing, we would love to hear from you. (A real human reviews every application.) Grow with us Everyone deserves to reach their fullest potential. We know that when we do work that matters with people we care about in a high-growth environment, we feel engaged and alive. It is why we joined Aha! and how we achieve our very best. We offer all the benefits you would expect and more, including profit sharing. The specific benefits listed below are reflective of what we offer U.S.-based hires. We also do our best to extend identical benefits to international teammates. - The base salary range for this role in the U.S. is between $110,000 and $190,000 - Cash-based compensation also includes profit sharing, and we contribute a percentage of your total pay each month toward your retirement - Medical, dental, and vision plans (for many teammates, we cover 100% of the premiums) - Up to 200 hours of paid time off a year to spend however you want - 30 to 90 days of paid parental leave and five to 10 days of paid care and bereavement leave - Up to $1,000 annually for third-party education, along with paid time off to immerse yourself in learning - Volunteer opportunities throughout the year Base salary and total compensation are dependent upon many factors, including skills, experience, and relevant past roles. We are building a distributed team, and you can work from anywhere in North America or South America for this role. We offer generous salary, equity, benefits, and a profit-sharing program. See other openings at Aha! It is important to us to have authentic conversations with candidates. This helps us understand and value each candidate's skills, experiences, and ambition. For these reasons, we do not allow candidates to use AI tools during interviews without our prior approval. Please let us know if you have any questions. Diversity We are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities. As an equal opportunity employer, Aha! welcomes all employees and applicants, without regard to age, race, color, national origin, physical or mental disability, gender, religion, sexual orientation, gender identity, marital or veteran status, condition of pregnancy, or any other legally protected characteristic. Learn more about diversity and inclusion at Aha!

Role Description As a Senior AI Platform Engineer, you'll join our DevOps and Platform squad and take ownership of the systems that make AI work at scale — from the tooling layer down to cloud infrastructure. This is a senior individual contributor role with high ownership. You'll work at the intersection of AI systems, platform engineering, and cloud security — a rare combination that puts you at the core of everything we build. AI Infrastructure - Deploy, operate, and evolve our MCP (Model Context Protocol) server fleet and gateway layer that connects AI models to company systems and data. - Build and maintain the identity and access layer for AI services — defining how agents, users, and systems authenticate and what they can access. - Own reliability, scalability, and incident response for AI infrastructure components. Agent Platform - Build the platform infrastructure for running background AI agents at scale — scheduling, deployment pipelines, lifecycle management, observability, and cost controls. - Define and enforce patterns that let engineering teams ship and operate AI agents safely and efficiently. - Act as the platform owner other engineers build on top of. Platform Engineering - Contribute to and extend shared platform capabilities: CI/CD, secrets management, internal developer tooling, and shared service infrastructure. - Define infrastructure-as-code standards using Terraform and SST across the organization. - Package platform capabilities as reusable components, reducing toil for product engineering teams. Cloud Operations & Security - Own the security posture of AWS environments — IAM policies, network segmentation, secrets handling, and least-privilege enforcement. - Implement and maintain observability stacks (logging, metrics, alerting) with a focus on AI workloads. - Drive security best practices across containerized services and cloud-native deployments. Qualifications - 5+ years of professional experience in software engineering with at least 2 years in a platform, infrastructure, or DevOps-focused role. - Degree in Computer Science or a related field from a reputable university. - Fluent English (written and spoken). Strong communication skills, able to work closely with both technical and non-technical stakeholders. - AI fluency — you use AI actively in your daily work, both as a coding tool and as a subject you understand technically. - Protocol knowledge — solid, working understanding of: MCP (Model Context Protocol), A2A (Agent-to-Agent), OAuth 2.0 / OIDC. - Identity & Access Management — foundational understanding of IAM concepts: authentication vs. authorization, RBAC, zero-trust principles, secrets management. - Observability — experience building or operating an observability stack (e.g. CloudWatch, OpenTelemetry, Datadog, Grafana/Prometheus). - AWS — deep, hands-on experience across compute, networking, and security services. - Infrastructure-as-code — Terraform proficiency; SST experience is a plus. - Containers — strong understanding of containerized architectures (Docker, ECS, EKS, or similar). - Experience operating production systems with real reliability and security requirements. Requirements - Experience building and operating background AI agents — lifecycle management, scheduling, deployment pipelines. - Hands-on work with AI-automated software development architectures (e.g. coding agents, agentic CI/CD, autonomous code review pipelines). - Familiarity with AWS-based data stacks (e.g. S3, Glue, Athena, Redshift, Lake Formation). - Prior experience building or operating MCP server infrastructure. - Internal developer platform or platform-as-a-product experience. Mindset - Senior IC: you drive decisions, write the code, and own outcomes. - You follow the AI ecosystem closely and form opinions about where it's heading. - Collaborative — you'll work closely with engineers and raise the floor for the whole team. Benefits - Exceptional career growth and strong commitment to talent development. - A dynamic, forward-thinking company rooted in entrepreneurial culture with flat hierarchies. - Fully remote with regular in-person gatherings in Istanbul. - Birthday Retreat: complimentary half-day off on your birthday. - Five weeks of paid vacation plus the option for additional unpaid leave.