Vagas remotas para brasileiros nos Estados Unidos e Europa

• Solid hands-on experience in software testing, specializing in mobile products.\n• Experience building and maintaining automated end-to-end tests, particularly mobile automation testing in the context of build and development systems.\n• Expertise in using Detox or similar technologies for mobile automation.\n• Background in automating mobile applications.\n• Experience working as a part of a team with Product, stakeholders and other Engineers.\n• Knowledge of the application development cycle.\n• Willingness for self-development in the Software Quality Assurance domain.\n• Excellent knowledge of software testing methods and technologies, and experience in using them.\n• Experience in test automation, including the creation of automation frameworks.\n• Familiarity with scripting languages and tools used in automation testing.\n• Ability to design, develop, and maintain automated test suites for both web and mobile applications.

• Solid experience working with highly scalable large distributed systems, relational and/or document databases, data pipeline systems, and frameworks to build high-performance RESTful web services.\n• Experience developing systems that handle sensitive information using encryption and signature verification, and that are PCI DSS compliance\n• Knowledge of banking concepts like reconciliation, ACH transactions, double-entry accounting, etc\n• Experience developing or integrating issuer processors and other banking infrastructure components.\n• Very deep knowledge in at least one backend programming language in which one can be called an expert (Golang, Java, Python, Net).\n• Very well versed on what makes a good REST API.\n• Experience designing, building and supporting critical user-facing systems.\n• Excellent experience writing automated tests on any level (unit, integration, e2e, chaos, etc).\n• Strong cross-team communication and collaboration skills. Work with your team towards common goals.\n• A healthy ability to handle and resolve conflict - have the ability to listen, present, and question effectively.\n• Knowledge of processes and engineering best practices in all phases of the software development process.\n• Excellent written and verbal communication skills - confident in writing down and presenting their designs and decisions throughout the development lifecycle.\n• Comfortable providing and receiving feedback in an Agile environment.\n• Strong customer advocate and creative problem solver.

• A seasoned engineer, with 5+ years experience working on systems at scale\n• Obsessed with performant, defect-free, maintainable code\n• A strong problem solver with a proactive mindset\n• A collaborator who is capable of creating alignment with technical and non-technical stakeholders alike\n• Comfortable working heads-down or tag-teaming problems\n• Strong coding skills, preferably in Go\n• Ability to debug issues or, better yet, foresee problems and avoid them entirely\n• Experience with IDLs (e.g., protobuf), RPC frameworks (e.g., gRPC), cloud platforms (e.g., GCP), and relational databases (e.g., PostgreSQL)

• 4-6 years experience in a customer success role, managing customer relationships\n• US region hours\n• Understanding of and experience with key technology concepts, such as SaaS and APIs\n• Exposure to, or employment with, large and small companies\n• A dedicated interest in Alpaca's mission, to enable financial services access to everyone on the planet\n• Ability to work remotely and independently, and to self-manage time and obligations\n• Flexibility to jump in where/when needed to help drive Alpaca's growth\n• Desire to learn\n• Ability to manage customer relationships, across various sized companies

•Strong problem-solving skills paired with a proactive mindset\n•Excellent communication and collaboration skills\n•The ability to work independently and as part of a team\n•A preference for simple and elegant solutions\n•At least 3 years of experience working on systems at scale\n•Proven experience in building and maintaining microservices\n•Experience with client facing APIs\n•Strong coding skills, preferably in Go\n•Ability to write clean, well tested, and maintainable code\n•Experience with domain driven design and event driven design\n•Ability to debug issues or better yet, foresee problems and avoid them entirely\n•Familiarity with containerization and orchestration technologies, especially Kubernetes\n•Experience with cloud platforms, preferably Google Cloud Platform\n•Experience with messaging queues and message brokers\n•Experience with relational databases, preferably PostgreSQL\n•Experience with distributed systems design\n•Previous experience with or understanding of payment rails and the payment lifecycle\n•Experience with double entry accounting and financial ledgers

• Curious and capable of learning complex systems/constructs through research, data, and observation.\n• Ability to analyze, model scenarios, and synthesize data to draw insights, learning, and conclusions.\n• Demonstrated strategic thinking, clarity in approach, and ability to get into the details.\n• Experience working in software companies with knowledge of business functions, operating models, organization design, and business drivers.\n• Excellent communication skills, both written and verbal, with stellar presentation skills.\n• Ability to work cross-functionally and up / down the ranks to align with stakeholders and drive outcomes.\n• Meticulous with program management to drive accountability, with a penchant for prioritization.\n• Experience in capital markets, management consulting, investment banking, or advanced degree in business (MBA).\n• Strong business acumen and financial literacy.\n• Ability to thrive in fast-paced environments, with the ability to navigate ambiguity.\n• High level of discretion and confidentiality.\n• FinTech experience is a plus, especially with broker dealer business.\n• Startup experience and mindset for a fast paced, high growth environment.\n• Comfort working with lots of data via SQL. Advanced analytics is a plus.\n• US hours preferred.

• Azure\n• Docker (cross o/s)\n• Git\n• Scripting (bash, powershell etc)\n• Terraform\n• CI/CD management\n• Docker-compose\n• CLI master\n• VCS branch management\n• Automation\n• Observability (Grafana/Prometheus/Opentelemetry)\n• Kubernetes

• Strong problem-solving skills paired with a proactive mindset\n• Ability to turn business requirements into a flexible implementation model\n• Excellent communication and collaboration skills\n• Ability to work independently and as part of a team\n• A preference for simple and elegant solutions\n• At least 3 years of experience working on systems at scale\n• Proven experience in building and maintaining microservices\n• Strong coding skills, preferably in Go\n• Ability to write clean, well tested, and maintainable code\n• Experience with domain driven design and event driven design\n• Ability to debug issues or better yet, foresee problems and avoid them entirely\n• Familiarity with containerization and orchestration technologies, especially Kubernetes\n• Experience with cloud platforms, preferably Google Cloud Platform\n• Experience with messaging queues and message brokers\n• Experience with relational databases, preferably PostgreSQL

• Bachelor’s degree in Finance, Business, Data Science, Statistics, or a related field.\n• Advanced degrees or relevant certifications (e.g., CFA, FRM, Data Science certifications) preferred.\n• Minimum of 2-3 years of experience in data analysis, preferably within the financial services or brokerage industry.\n• Proven track record of conducting complex data analyses to drive operational improvements and strategic decisions.\n• Proficiency in data analysis tools and software such as SQL, Python, R, Excel, and data visualization tools\n• Strong understanding of financial markets, trading operations, and brokerage services.\n• Strong communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.\n• Ability to work independently, manage priorities, and meet deadlines in a fast-paced environment.\n• High ethical standards and a commitment to maintaining confidentiality.

• A seasoned engineer, with 5+ years experience working on systems at scale\n• Obsessed with performant, defect-free, maintainable code\n• A strong problem solver with a proactive mindset\n• A collaborator who is capable of creating alignment with technical and non-technical stakeholders alike\n• Comfortable working heads-down or tag-teaming problems\n• Strong coding skills, preferably in Go\n• Ability to debug issues or, better yet, foresee problems and avoid them entirely\n• Experience with IDLs (e.g., protobuf), RPC frameworks (e.g., gRPC), cloud platforms (e.g., GCP), and relational databases (e.g., PostgreSQL)

• Curious and capable of learning complex systems/constructs through research, data, and observation.\n• Ability to analyze, model scenarios, and synthesize data to draw insights, learning, and conclusions.\n• Demonstrated strategic thinking, clarity in approach, and ability to get into the details.\n• Expertise in sales CRMs (HubSpot in particular), with deep understanding of the object model and ability to design objects & workflows.\n• Strong business acumen, specifically SaaS key metrics and the full sales cycle.\n• Excellent communication skills, both written and verbal, with stellar presentation skills.\n• Ability to work collaboratively with the sales team, from leadership to individual sellers.\n• Ability to thrive in fast-paced environments, with the ability to navigate ambiguity.\n• High level of discretion and confidentiality.\n• Experience in capital markets, management consulting, investment banking, or advanced degree in business (MBA) is a strong plus.\n• FinTech experience is a plus, especially with broker dealer business.\n• Startup experience and mindset for a fast paced, high growth environment.\n• Comfort working with lots of data via SQL. Advanced analytics is a plus.\n• US hours preferred.

•Strong, experienced software engineer with lead experience is preferred\n•Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python\n•Low latency and high throughput optimization\n•Experience with messaging queues and message brokers\n•Analytical data-oriented mindset and skills\n•Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control\n•System design skills with object-oriented data modeling, service-oriented architectures, system abstraction\n•Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)

• Experience building a CLOB exchange, HFT, market-making, high performance matching engines, margin/liquidation engines or other high-throughput & low-latency, regulated, fault-tolerant financial system\n• Experience in building crypto\n• BSc/MSc or equivalent experience in Computer Science or related field\n• Minimum 4 years of experience of backend software development\n• Experience with at least one modern programming language like GoLang, Python, C/C++, NodeJS, Java, etc. Our platform is based in Golang\n• SQL or relational database skills\n• Hands-on knowledge with Bash, Linux & Docker. Kubernetes experience is a plus\n• Excited about what we are building at Alpaca

• Strong problem-solving skills paired with a proactive mindset\n• Excellent communication and collaboration skills\n• The ability to work independently and as part of a team\n• A preference for simple and elegant solutions\n• At least 3 years of experience working on systems at scale\n• Proven experience in building and maintaining microservices\n• Experience with client facing APIs\n• Strong coding skills, preferably in Go\n• Ability to write clean, well tested, and maintainable code\n• Experience with domain driven design and event driven design\n• Ability to debug issues or better yet, foresee problems and avoid them entirely\n• Familiarity with containerization and orchestration technologies, especially Kubernetes\n• Experience with cloud platforms, preferably Google Cloud Platform\n• Experience with messaging queues and message brokers\n• Experience with relational databases, preferably PostgreSQL\n• Experience with distributed systems design\n• Previous experience with or understanding of payment rails and the payment lifecycle\n• Experience with double entry accounting and financial ledgers

• 3+ years of experience in data engineering or data analytics, focusing on the transformation component of the ELT process.\n• Experience building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).\n• Experience in Python for transformations beyond SQL.\n• Experience with CI/CD and code version control.\n• Strong hands-on experience with relational databases (e.g., Postgres, Iceberg), including query optimization.\n• Ability to adapt quickly in a fast-paced environment and tailor solutions to evolving business needs.\n• Experience with ETL technologies for ingestion (e.g., Airbyte) and orchestration (e.g., Airflow).\n• Experience working in a cloud environment (AWS or GCP).