Role Description We are looking to hire a Senior Software and Architecture Engineer on the East Coast to be part of a green field product. The product is for a Continuous Threat Exposure management platform, collecting complex data sets using a combination of open source and in-house tooling to provide meaningful information to our penetration testing teams and clients. We're looking for a range of skills and knowledge, as the project spans the disciplines of security and development. The existing services use Django Python and React TypeScript being hosted upon AWS, with more services to build. - Designing and implementing solutions and tooling for the CTEM platform. - Strong collaboration between the penetration and engineering teams. - Ensuring tools built are effective and provide meaningful information for assessment teams in the field. Qualifications - Strong understanding of Django. - Interest in picking up or experience with different programming languages. - 15 or more years of relevant professional experience preferred. Requirements - Experience with Django Rest Framework. - Experience with the Python Ecosystem. - Experience with Typescript/Javascript (React). - Experience with Relational Databases (Postgres). - Experience with AWS (EC2/EBS/Lambda/ECS). - Experience with a range of programming languages. - Experience with API Design and documentation. - Experience with message processing and queueing systems. - Experience using penetration testing tools (Nuclei, NMAP, etc). Personal Qualities - Excellent spoken and written communication skills. - High level of professionalism. - Outstanding attention to detail. - Self-motivated and a demonstrated self-starter. - Highly dependable. Benefits - Flexible working hours. - Competitive health packages. - Life insurance. - 401k plan with company contributions. - Maternity and parental leave. - On-the-job training opportunities. - Paid, flexible vacation.

• Togetherwork is seeking a Principal Architect, AI & Developer Productivity to own how AI accelerates the software development lifecycle across the portfolio. This is a hands on leadership role for someone who has shipped AI augmented engineering tooling at scale and can prove measurable improvements in developer throughput, software quality, and cycle time. • You will define and operationalize the AI assisted development stack across the organization: IDE assistants, code review automation, test generation, security scanning, documentation, and release automation. You will set the standards, build the platform, and drive adoption across product teams. You will measure outcomes against DORA metrics and retire tools that do not produce returns, regardless of how fashionable they are. • Define and operationalize the AI assisted engineering platform across the portfolio, covering IDE assistants, agentic coding tools (Claude code, cursor, etc), code review automation, test generation, security scanning, documentation, and release automation. • Architect a model and vendor agnostic abstraction layer so the organization is not locked into a single tool, model, or provider as the landscape evolves monthly. • Establish reference architectures and golden paths for AI augmented workflows that teams can adopt without forcing a single stack across all products. • Establish acceptable use, IP protection, intellectual property leakage prevention, secret scanning, and data exfiltration controls for AI in the SDLC. • Implement open source license scanning to prevent contamination from AI generated code that reproduces GPL, AGPL, or other restrictive license material. • Define audit trail and traceability standards: which AI tool wrote what code, what tests were generated, what was reviewed, what was approved. • Partner with Security, Legal, Compliance, and Risk to embed SOC 2, PCI, PII, SOX, data residency, and other regulatory requirements into the platform design. • Support audit and risk assessment readiness by ensuring platform documentation, logs, and controls meet enterprise and regulatory expectations. • Embed AI driven capabilities into CI/CD: automated pull request review, test synthesis, flaky test triage, vulnerability remediation, intelligent rollout, and incident analysis. • Establish quality gates for AI generated code including coverage, mutation testing, security scanning, and license compliance before merge. • Lead enablement across product teams: onboarding paths, paved roads, internal developer portal capabilities, and training for AI assisted workflows. • Treat developer experience as a product with clear roadmaps, success metrics, user research, and feedback loops. • Distinguish real productivity from the illusion of productivity. AI tools inflate volume metrics without necessarily delivering value, and traditional metrics like commits and lines of code are unreliable in AI native workflows. • Report tool cost against measured outcomes. Make kill, scale, or replace decisions on tools that do not return $2 to $3 of value for every $1 of cost. • Maintain an evaluation harness so new tools can be benchmarked against incumbents on real internal work, not vendor demos. • Evaluate and select tooling across the current market: GitHub Copilot Enterprise, Cursor, Claude Code, and emerging entrants. Negotiate enterprise terms in partnership with procurement. • Make defensible build vs buy decisions on AI components, frameworks, and pipeline integrations based on cost, security posture, switching cost, and outcomes. • Stay current on emerging tools and models. Recommend platform evolution quarterly rather than annually. The field moves monthly. • Bring acquired engineering teams onto the standard AI augmented SDLC platform with a clear runbook for tooling rationalization. • Evaluate acquired company SDLC tooling and provide structured recommendations on what to integrate, rationalize, or retire. • Own the total cost of AI in the SDLC: license consumption, token spend, infrastructure, and developer time. Implement chargeback, cost ceilings, observability, and alerting. • Manage token spend at scale. • Build cost models for new tool rollouts that include training, change management, and ongoing platform support, not just license fees. • Partner with engineering leaders, product, security, legal, and procurement to align platform direction with business strategy. • Mentor senior engineers and engineering managers on AI assisted development patterns and the discipline required to use them effectively. • Communicate architecture decisions, trade offs, and platform outcomes clearly to executive stakeholders including the CTO and CFO.

Role Description We are seeking a Senior Software Developer with experience across Microsoft technologies to support the design, development, and deployment of applications in a financial data environment. This is a senior level role for candidates who are comfortable working with databases, backend services, and web applications, with a strong focus on data-driven solutions. The ideal candidate will have hands-on experience with Microsoft SQL Server, .NET technologies (C# and/or VB.NET), and Azure, and will be capable of contributing to both application development and financial data modeling initiatives. Key Responsibilities - Design, develop, and maintain applications using C# and/or VB.NET - Build and optimize Microsoft SQL Server databases, including stored procedures, views, and performance tuning - Develop and maintain web-based applications, including front-end and back-end components - Support data modeling and data transformation processes, particularly within financial datasets - Deploy and manage applications in Microsoft Azure environments - Ensure data accuracy, integrity, and consistency across systems - Participate in code reviews, testing, and debugging to maintain high-quality deliverables - Document system architecture, processes, and technical workflows - Assist in troubleshooting production issues and supporting ongoing system enhancements Qualifications - 6+ years; leading development efforts, mentoring team members, and driving architectural decisions - 6+ years’ experience with Microsoft SQL Server (T-SQL, stored procedures, indexing, performance tuning) - Proficiency in C# and/or VB.NET - Experience with web development (ASP.NET, Web Forms, MVC, or similar frameworks) - 6+ years’ experience with Microsoft Azure (App Services, SQL Database, deployment pipelines, or related services) - Understanding of data modeling concepts, particularly in financial or transactional systems - 6+ years’ experience with application deployment and environment management - Strong problem-solving and analytical skills - Ability to work independently and collaboratively in a team environment Preferred Qualifications - Experience working with financial systems, trading data, or market data feeds - Knowledge of DevOps practices and CI/CD pipelines in Azure - Familiarity with data integration and ETL processes - Experience with version control systems (e.g., Git, Azure DevOps) - Understanding of security, compliance, and data governance in financial environments Physical Requirements - Ability to sit for extended periods while performing computer-based tasks. - Frequent use of computer, keyboard, and office equipment. Remote Work Environment Requirements - Dedicated, quiet workspace free from distractions to maintain focus and accuracy. - Reliable high-speed internet connection to support secure document processing and collaboration. - Ability to meet deadlines in a remote setting while maintaining attention to detail. - Strong self-discipline and time management skills to work independently and efficiently. - Comfortable using remote communication tools (e.g. email, Microsoft Teams, Zoom) for team collaboration. Benefits - This is a full-time position with competitive compensation and good work/life balance. - Health insurance - Paid Time Off - Disability insurance - Paid holidays - 401k with employer contribution - Remote work environment - Generally, promotion within firm Company Description Harvest Valuations LLC is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, sexual orientation, pregnancy, marital status, national origin, citizenship, veteran status, ancestry, age (over 40), physical or mental disability, medical condition (cancer-related), gender identity or expression, genetic information including sickle cell or hemoglobin C trait, or any other consideration made unlawful by applicable federal, state, or local law. We are not seeking agency assistance with this role. We are unable to consider candidates who require current or future visa sponsorship for employment in the United States. Candidates must be authorized to work in the US without current or future visa sponsorship or transfer.

• Set engineering strategy, architecture direction and the bar for code, reliability, and security. • Lead and grow the engineering organization through Engineering Managers; install the pod operating model. • Ship the V2 REST API surface, the OpenAPI spec, and the agent-readiness layer. • Own engineering KPIs: delivery velocity, system reliability, defect density, hiring quality. • Partner on diligence-readiness — repo hygiene, IP assignment, security posture — for a strategic transaction.