Title: Senior Data Platform Engineer Location: San Francisco, United States - Remote, United States This is a remote position. Job Description: In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Role Overview The Swish Analytics team is seeking a Senior Data Platform Engineer to have a direct impact on the data infrastructure of our core consumer and enterprise data offerings. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position. Seniority: Solid Senior level (5-8 years experience) Core Responsibilities: - Proficiency in Python: Expertise in writing scalable, efficient, and testable code using Python for data processing, automation, and building back-end components. Familiarity with popular Python libraries is a plus. - Cloud Platforms: Proficiency in cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, including knowledge of their specific data tools (e.g., Redshift, S3, Azure Data Factory, BigQuery). - 24/7 monitoring, alerting, and incident response of enterprise database architecture. - Developing KPI's, SLA’s, SLO’s and strategy to achieve and improve database stability - Backup/recovery testing and disaster recovery planning - Developing performance testing strategy, - Query performance analysis and optimization. - Implement and maintain RDS Proxy and connection management strategies - Manage database environments from production, data streams, to "Big Data" analytics. - Create and maintain policy runbooks and documentation for company use. - Database security, access control, and compliance - Working with MySQL/Postgres, Redshift, Kafka, Athena, Redis/Valkey, S3 and similar - Own schema migration tooling and process development Skills Guide: - Operational Excellence: Monitoring (CloudWatch, Performance Insights, Datadog), alerting, on-call experience - MySQL Operations: Deep knowledge of RDS operational functions, performance tuning (indexes, query optimization, explain plans) Backup/restore, point-in-time recovery, replication troubleshooting - SQL Mastery: Proficiently writing and understanding complex SQL queries, including joins, subqueries, aggregations, and window functions. - Database Design Principles: Knowledge of normalization, denormalization, and how table structure impacts query performance. - Indexing: Understanding different index types (B-tree, hash, clustered, non-clustered) and their appropriate use for optimizing search and retrieval. - Automation: Software development for operational tasks - AWS: RDS operations, Authentication, Authorization - Incident Management: Root cause analysis, postmortem creation, Run book development Nice to Have: - Performance testing tools (sysbench, HammerDB) - Execution Plan Analysis: Ability to read and interpret query execution plans to identify bottlenecks, such as full table scans, inefficient joins, or missing indexes. - Identifying Resource Bottlenecks: Pinpointing where queries are consuming excessive CPU, I/O, connections, or memory. Base salary: Starting at $180,000+ - DOE Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Role Description Aalis Management Consulting seeks a highly qualified Senior SharePoint Developer / Power Platform Engineer to support a Federal Agency by designing, developing, and maintaining enterprise collaboration, automation, and web-based solutions. This role will be responsible for building and enhancing SharePoint sites, custom web applications, workflows, dashboards, and Microsoft 365 solutions that improve business processes and support mission-critical programs. The successful candidate will collaborate with government stakeholders, business analysts, and technical teams to gather requirements, develop scalable solutions, and deliver modern applications using SharePoint Online, Power Platform, and web development technologies. Key Responsibilities - Design, develop, and maintain Microsoft SharePoint sites, intranet portals, and document management solutions. - Build custom applications using Microsoft Power Apps. - Automate business processes and workflows using Microsoft Power Automate. - Develop dashboards and visual reports using Microsoft Power BI. - Create responsive web applications and custom components using HTML, CSS, JavaScript, and related frameworks. - Gather and analyze business requirements and translate them into technical designs. - Integrate SharePoint and Power Platform solutions with external systems and data sources. - Prepare technical documentation, user guides, and executive briefings. - Troubleshoot and optimize application performance and user experience. - Recommend and implement improvements to collaboration and automation capabilities. Qualifications - Bachelor's degree in Computer Science, Information Systems, Web Development, Software Engineering, or a related field. - Minimum of 8 years of experience developing SharePoint and web-based solutions. - Strong experience with SharePoint Online, Microsoft 365, and Power Platform. - Proficiency in HTML, CSS, JavaScript, and web application development. - Experience designing workflows, dashboards, and automated business solutions. - Strong analytical, problem-solving, and communication skills. - Proficiency in the Microsoft Office. Preferred Qualifications - Microsoft 365 Certified. - Microsoft Power Platform certifications. - Experience supporting federal agencies and Public Trust environments. - Familiarity with data analytics, reporting, and business intelligence solutions. Requirements - This position requires a government security clearance; the applicant must be a U.S. Citizen for consideration. Company Description Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a U.S. Army veteran, we take pride in our core values of excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, IT Financial Management, Program Management, and Logistics & Supply Chain Support.

• Complete a full audit of infrastructure, security posture, vendor accounts, and IT operations. Identify gaps and quick wins. • Take ownership of all vendor relationships and complete account transfers from the previous director. • Establish your working relationship with every engineering team, Finance, Legal, and Customer Success. • Assess and strengthen incident response protocols and cybersecurity monitoring (Datadog SIEM, Cloudflare). • Evaluate and stabilize IT operations, including support SLAs and the endpoint management program. • Drive vendor rationalization. We have 30+ tools identified for review ($229K in immediate cuts, $1.2M under evaluation). Own the decision-making and execution. • Implement improvements to our compliance program (SOC 2 Type II, GLBA) and own the next audit cycle. • Optimize cloud infrastructure costs and performance across our AWS organization (multiple accounts, ECS Fargate, Aurora PostgreSQL). • Improve sandbox and environment management for customer implementations. Credit unions need secure, reliable sandbox environments for onboarding. • Define and begin executing on the team structure and hiring plan for your org. • Have a fully staffed and operating Platform Engineering org with clear ownership boundaries. • Advance cloud security and data protection strategies, including improvements to per-partner data segregation and encryption (AES-256, FIPS 140-2 Level 3). • Lead a company-wide security awareness program and foster a security-first culture across engineering. • Drive automation and tooling improvements that measurably reduce toil for the broader engineering org. • Own and present the platform roadmap, including infrastructure scaling strategy for the next 12 months.

Role Description We are seeking a Senior AI Platform Engineer to own the core platform layer that powers every EasyBee AI agent in production — from multi-tenant agent configuration and schema architecture, to data pipeline contracts, evaluation harnesses, and customer onboarding automation. This role sits at the intersection of backend platform engineering, LangGraph-based orchestration, and AI evaluation systems. - Own the infrastructure that makes all features possible: the agent orchestration graph, the customer configuration schema, end-to-end conversation logging, automated eval pipelines, and the scripts that deploy new customers in under 30 minutes. - If you love owning systems that other engineers depend on, ship at high velocity across a wide surface area, and take pride in leaving codebases cleaner than you found them — we want to hear from you. Qualifications - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Proficient or Advanced use of agentic workflows for coding in tools like Cursor AI or Claude Code. - 4+ years building and owning production-grade backend systems in Python. - Proven experience owning a core platform or shared infrastructure layer used by multiple teams or customers. - Hands-on track record with multi-tenant system design — schema isolation, config-driven parameterization, and deployment automation. - Experience building evaluation harnesses for LLM-based systems with quantitative metrics. Requirements - Strong systems thinking — ability to see how schema decisions in the core platform ripple downstream to eval, logging, onboarding, and customer deployments. - Comfort owning wide surface area — this role crosses platform, data, eval, and ops without a narrow specialization. - High individual shipping velocity — ability to close multiple GitHub issues per day with clean PRs and minimal back-and-forth. - Strong schema discipline — treats data contracts as first-class artifacts, not afterthoughts. - Ability to work autonomously with minimal supervision in a fast-moving startup environment. - Strong written communication for PR descriptions, Notion documentation, and deployment SOPs. Benefits - 30 paid days off each year — use them for vacation, holidays, or personal time. - 5 paid sick days, up to 60 days of medical leave, and 6 paid days off for family events like weddings, funerals, or having a baby. - Partially covered health insurance - after probation. - Wellness bonus for gym memberships, sports nutrition, and similar needs. What success looks like - A core platform where every new customer can be deployed in under 30 minutes from a configuration template + KB content — zero custom code per customer. - An eval pipeline with automated simulation scenarios and distributed tracing that runs on every PR and blocks deployment when scores drop below threshold. - A conversation logging system that captures every production interaction with full metadata, enabling the data strategy and future fine-tuning. - A clean, schema-validated platform codebase where new nodes, customers, and capabilities can be added with predictable behavior and no silent regressions. - A deployment SOP so reliable that any engineer on the team can onboard a new customer without escalation.