software engineer

ai engineer

ai engineer ii

engineer

full stack engineer

platform engineer

Netbuilder

Location: New York (office-based) with travel to client sites as requiredSalary: Up to $140,000 per year (dependent on experience)Role type: Full-time, permanentDepartment: Technology Consulting &ndash; Observability PracticeNETbuilder is building an Observability Practice, and this is a senior delivery hire into it. You will join as a senior data pipeline engineer, working hands-on inside enterprise client teams to architect, deploy and operate the observability platforms and telemetry pipelines that sit at the heart of modern observability.This is primarily a hands-on delivery role &ndash; a senior individual-contributor position rather than a line-management one. Your focus is engineering across two fronts: designing and deploying the observability platforms themselves, and building the data pipelines that collect, route, transform, enrich and deliver telemetry reliably and cost-effectively across complex enterprise environments. You will be the senior technical authority on observability platform architecture and data pipelines for the engagements you work on. While there is no permanent team to manage, on specific engagements you will provide technical leadership &ndash; mentoring junior engineers, planning the workstream and allocating tasks across the delivery team.Consulting experience is preferred but not essential &ndash; what matters most is deep, current, hands-on expertise with industry-standard observability platforms and their pipeline and transformation tooling. If you would rather solve hard data-engineering and platform problems and lead through expertise than carry permanent people-management responsibility, this is the role.Key Responsibilities:Pipeline Engineering &amp; Delivery<ul><li>Design, build and operate telemetry pipelines that collect, route, transform, enrich, reduce and mask logs, metrics and traces at enterprise scale</li><li>Develop and maintain data transformation logic &ndash; parsing, restructuring, filtering and normalising telemetry across formats and schemas</li><li>Optimise pipelines for data quality, cost control and performance &ndash; reducing noise and volume without losing signal</li><li>Onboard complex applications and data sources onto observability platforms</li><li>Build, test and document reusable pipeline configurations, processors and templates</li><li>Monitor pipeline health and throughput, and troubleshoot ingestion, routing and delivery issues</li></ul>Platform Architecture &amp; Deployment<ul><li>Architect observability platform deployments &ndash; topology, sizing, high availability, resilience and scaling &ndash; to meet enterprise client requirements</li><li>Deploy, configure and operate observability platforms and their collection/agent fleets across cloud, hybrid and on-premises environments</li><li>Define deployment patterns and infrastructure-as-code for repeatable, automated platform rollouts</li><li>Integrate observability platforms with client infrastructure, data sources and downstream destinations</li><li>Own platform health, upgrades and capacity planning, and keep architecture and deployment documentation current</li></ul>Client Delivery<ul><li>Deliver observability platform and pipeline engagements directly with enterprise clients as a senior practitioner</li><li>Own delivery outcomes for the platform and pipeline workstreams on assigned engagements</li><li>Act as senior technical authority and escalation point for platform architecture, deployment and data pipeline issues</li><li>Lead troubleshooting and root-cause analysis across enterprise observability platforms and telemetry pipelines</li><li>Support pre-sales with technical scoping and solution design for platform and pipeline work</li><li>Translate client requirements into platform and pipeline designs that balance coverage, cost and compliance</li></ul>Engagement Leadership &amp; MentoringThis is engagement-scoped technical leadership rather than permanent line management &ndash; on specific engagements you will:<ul><li>Provide technical leadership as the senior practitioner, setting direction and quality standards for the platform and pipeline workstream</li><li>Plan the workstream &ndash; scope the work, sequence the tasks and allocate them across the engagement delivery team where required</li><li>Mentor and coach junior engineers and consultants working alongside you, sharing platform and pipeline expertise on the job</li><li>Co-ordinate with the wider engagement team and report progress on the workstream</li></ul>Tooling &amp; Practice Contribution<ul><li>Work hands-on across the observability tool landscape (see preferred tools below), applying each platform's architecture, deployment and data-pipelining capabilities</li><li>Stay current with platform capabilities, roadmaps and certifications</li><li>Contribute to NETbuilder's platform and pipeline methodology, toolkits and reusable assets</li></ul>Qualifications and Experience:<ul><li>Senior data pipeline engineering experience: demonstrable hands-on track record designing, building and operating telemetry/observability data pipelines at enterprise scale</li><li>Platform architecture and deployment experience: hands-on experience designing, deploying and operating observability platforms (topology, sizing, high availability and scaling) across cloud, hybrid and on-premises environments</li><li>Data transformation expertise: strong practical experience with parsing, routing, filtering, enrichment and normalisation of log, metric and trace data</li><li>Tooling experience: hands-on experience with the architecture, deployment and data-pipelining functionality of one or more industry-standard observability platforms (see preferred tools below)</li><li>Engagement leadership: comfortable mentoring junior engineers and planning and allocating tasks within a delivery team on an engagement, without formal line-management authority</li><li>Consulting experience: preferred but not essential &ndash; comfortable working directly within enterprise client teams</li></ul>Preferred Tool Experience:Hands-on experience with the architecture, deployment and data-pipelining functionality of one or more of the following platforms, in order of preference:<ul><li>Bindplane (ObservIQ / Google)</li><li>Dynatrace (OpenPipeline)</li><li>OpenTelemetry (Collector &ndash; receivers, processors and exporters)</li><li>Cribl (Stream)</li><li>Elastic (ingestpipelines)</li><li>Splunk</li></ul>Preferred Certifications:Certification in one or more of the following is preferred:<ul><li>Dynatrace Professional (Dynatrace Master advantageous)</li><li>OpenTelemetry Certified Associate (OTCA) &ndash; also covers Bindplane, which is OpenTelemetry-native</li><li>Cribl Certified Engineer (CC Engineer) or Cribl Certified Observability Engineer &ndash; Admin (CCOE Admin)</li><li>Elastic Certified Engineer</li><li>Splunk Enterprise Certified Architect</li></ul>Key Skills:<ul><li>Platform architecture and deployment: designing observability platform topology (sizing, HA, scaling) and deploying/automating platform and pipeline infrastructure as code</li><li>Pipeline and transformation tooling: deep expertise in one or more observability platforms and their transformation languages and processors</li><li>OpenTelemetry: strong working knowledge of the OpenTelemetry Collector (receivers, processors, exporters) and OTLP</li><li>Scripting and automation: Python, Bash</li><li>Data formats and parsing: JSON, regex, syslog, and common log, metric and trace formats</li><li>Cloud platform knowledge: AWS, Azure, and/or GCP</li><li>Container and orchestration: Kubernetes, Docker, OpenShift</li><li>Familiar with delivery and project tooling: JIRA, Confluence, ServiceNow</li></ul>About You:<ul><li>A hands-on engineer who would rather architect and build a solution than sit in a management meeting</li><li>Happy to lead through expertise &ndash; mentoring others, planning a workstream and giving direction on an engagement, even without a formal management title</li><li>Comfortable working directly inside enterprise client teams and engaging senior stakeholders</li><li>Rigorous about data quality, cost and reliability &ndash; you care about getting the right signal at the right price</li><li>Self-managing, delivery-focused and comfortable in a fast-moving environment</li><li>Naturally curious &ndash; you keep pace with a fast-evolving observability tooling landscape</li></ul>About NETbuilder:NETbuilder is a leading provider of digital solutions, software, consulting and managed services. We work across multiple sectors with specialist expertise in financial services, government, and commercial markets. Since 1999 we have been providing end-to-end solutions across Digital Delivery, Development and Technology. At our core we are a Digital Transformation consultancy with capabilities for onsite, onshore and offshore delivery.You will join a world-class team of experienced consultants, helping to build a new observability practice within the NETbuilder group.Why NETbuilder:<ul><li>Join a new observability practice as a senior technical specialist, working with cutting-edge observability platforms</li><li>Work with enterprise clients across multiple sectors</li><li>Competitive base salary: $120,000 - $140,000 (dependent on experience)</li><li>Continuous investment in professional development and certification</li><li>High-performance, close-knit team culture where individual contribution is recognised</li><li>Office-based New York, with travel to enterprise client sites</li></ul>Pay: Up to $140,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid time off</li></ul>Application Question(s):<ul><li>Do you have a demonstrable hands-on track record of designing, building and operating telemetry/observability data pipelines?</li></ul>Ability to Commute:<ul><li>New York, NY 10036 (Required)</li></ul>Willingness to travel:<ul><li>25% (Required)</li></ul>Work Location: In person

Senior Data Pipeline Engineer

Kforce Inc

<div>
 
 Responsibilities
 
 
 
 Kforce's client, a leading global investment firm is seeking a Data Engineer, Infrastructure to join its core engineering team in Boston, MA. Summary: This is a high-impact technical leadership role focused on building elite data infrastructure to power advanced AI and investment platforms. You will design world-class pipelines that process massive financial datasets, integrate AI-driven document extraction, and bridge diverse cloud-native databases. In this role, you will define the blueprint for how the firm structures and leverages data, ensuring high performance, integrity, and accessibility for mission-critical services. Key Responsibilities:
 
 
 <ul>
 <li>
 Architect and modernize a unified data fabric, setting standards for data access, governance, and productization across the enterprise; Lead the evolution of an Iceberg-based lakehouse, overseeing ingestion, streaming, replication, and lifecycle management
 </li>
 <li>
 Define the compute architecture across stateful and distributed layers, balancing scalability with cost efficiency
 </li>
 <li>
 Implement event-driven patterns to ensure low-latency, observable data flows for real-time system integration
 </li>
 <li>
 Expand platform capabilities to support AI/ML, including feature-ready pipelines and scalable services for model training and inference
 </li>
 <li>
 Convert business priorities into a technical roadmap, making critical architecture decisions that maximize long-term platform value
 </li>
 <li>
 Partner with application teams and stakeholders to serve as the lead authority for strategic data domains
 </li>
 <li>
 Enforce high engineering standards for data quality, lineage, security, and operational excellence
 </li>
 <li>
 Mentor junior talent, fostering a culture of design rigor and implementation quality
 </li>
 <li>
 Conduct R&amp;D on emerging technologies to recommend production-ready solutions for the firm's target architecture
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or a related field; Advanced degree preferred
 </li>
 <li>
 4+ years in data or platform engineering, with a track record of senior-level technical leadership
 </li>
 <li>
 A "platform-first" mindset with experience delivering enterprise-scale lakehouse ecosystems
 </li>
 <li>
 Deep expertise in Apache Iceberg and open table formats, including partitioning and performance tuning
 </li>
 <li>
 Strong grasp of distributed compute models, workload orchestration, and fault-tolerant system design
 </li>
 <li>
 Proven success implementing streaming architectures and modern messaging patterns
 </li>
 <li>
 Experience building data services that support AI/ML workflows and production model deployments
 </li>
 <li>
 Advanced proficiency in Python and SQL; Java or Scala skills are a major plus
 </li>
 <li>
 Familiarity with cloud-native/containerized environments and infrastructure automation
 </li>
 <li>
 Excellent communication skills with the ability to influence technical and non-technical stakeholders
 </li>
 <li>
 Exposure to large-scale AI orchestration frameworks is highly desirable
 
 
 </li>
 </ul>
 The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
 
 
 We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability &amp; ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
 
 
 Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
 
 
 This job is not eligible for bonuses, incentives or commissions.
 
 
 Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
 
 
 By clicking &ldquo;Apply Today&rdquo; you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
</div>

Data Engineer- Infrastructure

<div>At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We&rsquo;re seeking a future team member for the role of Forward Deployed Engineer to join our Engineering Hub Team. This role is located in New York City or Pittsburgh, PA. 
In this role, you'll make an impact in the following ways:
<ul><li>Embed with business and platform stakeholders to scope and execute time-boxed FDE engagements with clear entry and exit criteria; translate defined opportunities into production-ready delivery plans.
</li><li>Design, build, and harden AI-first solutions across data, APIs, services, and workflow integrations, moving confidently from prototype to secure, scalable production deployment.
</li><li>Default to reuse-first delivery: extend existing platforms, templates, and modules rather than building avoidable one-offs; contribute reusable code and patterns back to shared repositories.
</li><li>Execute discovery with operating teams and sponsors to clarify constraints, validate feasibility, and rapidly prototype where useful before hardening into production.
</li><li>Surface patterns and learnings from engagements that can be standardized and promoted into shared platform capabilities.
</li><li>Apply secure-by-default practices consistently; incorporate observability, testability, and operational readiness into every solution delivered.
</li><li>Prepare clear handoff packages and transition plans so owning teams can sustain solutions independently after forward deployment ends.
</li><li>Operate within the FDE playbook and contribute feedback to refine standards, handoff criteria, and working norms based on field experience.
</li><li>Coordinate with control, architecture, security, and compliance stakeholders to keep solutions production-appropriate and governance-compliant.
</li><li>Program well-designed, testable, efficient code; actively participate in code reviews and maintain software functionality while managing technical debt.
</li><li>Apply security and privacy principles throughout the software development lifecycle.
</li>Mentor junior engineers; engage in active learning, complete mandatory training, and stay abreast of emerging technologies. 
<li>
</li></ul>To be successful in this role, we're seeking the following:
Basic Qualifications
<ul><li>Bachelor's degree in computer science, engineering, or a related discipline, or equivalent work experience.
</li><li>10&ndash;14 years of hands-on software development experience, including direct delivery of production systems; experience in the securities or financial services industry is a plus.
</li><li>Strong foundational understanding of modern AI and agentic application patterns, including retrieval-augmented generation (RAG), semantic search, and agent-based system design.
</li><li>Hands-on experience building backend services, APIs, and production systems.
</li><li>Experience working across architecture, data, and platform concerns rather than only within a narrow layer.
</li></ul>Preferred Qualifications
<ul><li>Experience delivering AI, data, BPM process orchestration, or workflow-heavy solutions in regulated environments.
</li><li>Strong systems-thinking and architecture judgment across services, data, and infrastructure.
</li><li>Comfort operating in ambiguity and driving discovery with senior stakeholders.
</li><li>Experience balancing speed with governance, security, and operational rigor.
</li><li>Familiarity with reusable platform patterns, internal developer platforms, or productized infrastructure.
</li><li>Experience with observability, evaluation, and day-2 production ownership practices.
</li></ul>Technical Skills
<ul><li>Strong software engineering skills in one or more of: Java, TypeScript/JavaScript, Python.
</li><li>Experience with APIs, service integration, and secure-by-default engineering practices.
</li><li>Ability to work across data, AI, workflow, and platform layers as needed.
</li><li>Hands-on data engineering experience with modern data platforms such as Snowflake, Databricks, or comparable cloud-scale data ecosystems. 
</li></ul><ul><li>Working knowledge of data governance practices, including data quality, lineage, access controls, metadata management, and policy-aligned data usage.
</li><li>Comfort using modern AI tooling pragmatically without confusing prototypes for production systems.
</li><li>Familiarity with application frameworks and containerization.
</li></ul>Non-Technical Skills
<ul><li>Strong written and verbal communication across technical and non-technical audiences.
</li><li>Clear product and delivery judgment within a scoped engagement.
</li><li>Ability to coordinate and execute across stakeholders without formal authority.
</li><li>Practical tradeoff thinking under real constraints.
</li><li>Bias toward action with disciplined follow-through.
</li></ul>People Leadership
Mentors junior engineers within engagements; contributes to team delivery quality and knowledge sharing. 
<ul><li>
</li></ul>At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
 Here&rsquo;s a few of our recent awards:
<ul><li>America&rsquo;s Most Innovative Companies, Fortune, 2025
</li><li>World&rsquo;s Most Admired Companies, Fortune 2025
</li><li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025 
</li></ul> 
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
 
 
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $210,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</div>

Senior Vice President, Forward Deployed Engineer

Veho

<div><h3 class="jobSectionHeader">About Veho</h3><div></div> 
Veho&rsquo;s mission is to power the future of commerce by making shopping, shipping and returns seamless for everyone.<div> 
</div>We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers. 
<div></div>Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the &lsquo;extension of the brand&rsquo; and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy&rsquo;s, Sephora, and more.<div></div> 
To truly build an iconic company, we strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities.
ABOUT THE ROLE
We&rsquo;re hiring a Product Engineer to design and build the internal tooling and infrastructure that enables everyone at Veho&mdash;technical and non-technical alike&mdash;to create, deploy, and manage AI-powered apps and agents. Think of it as building the &quot;builder experience&quot;: the walled garden, the guardrails, and the platform that lets an ops manager or a CX lead ship a working agent without writing code. This role reports directly to our Co-founder/President and sits at the center of Veho&rsquo;s AI transformation.
RESPONSIBILITIES INCLUDE<ul><li>
Builder Experience Platform &ndash; Design and ship the platform that lets non-engineers build and deploy governed AI agents and internal apps quickly and safely.</li><li>
Agent Infrastructure &ndash; Create the secure infrastructure layer that supports agentic workflows: context management, memory, tool access, quality controls, and test suites.</li><li>
Cross-System Integrations &ndash; Build connectors and integrations (NetSuite, Salesforce, internal systems) so that agents and apps can operate across the business.</li><li>
Quality &amp; Governance &ndash; Implement monitoring, fallback logic, documentation, and guardrails so AI systems are reliable, trustworthy, and auditable.</li><li>
Adoption &amp; Impact &ndash; Partner with leaders across Transportation, CX, Ops, and Marketing to identify high-leverage automation opportunities, then ship systems teams actually adopt.</li></ul>
WHAT YOU BRING<ul><li>
4+ years building and shipping production systems, automation, or internal developer/builder tools</li><li>
Deep experience with LLM-powered workflows, prompt engineering, and agent frameworks (Claude, OpenAI, open-source ecosystems)</li><li>
Ability to build with and for AI-assisted development tools (Claude Code, Cursor, Copilot, Veho Build, etc.)</li><li>
Strong product instincts&mdash;you connect technical work to measurable business outcomes</li><li>
Comfort operating in high-ambiguity environments without detailed specs; bias toward shipping and iterating</li><li>
Experience designing platforms or tools used by non-technical end users</li></ul>
EVEN BETTER IF YOU HAVE<ul><li>
Background in logistics, transportation, or marketplace platforms</li><li>
Experience building secure agent infrastructure (sandboxing, access controls, context/memory management)</li><li>
Familiarity with open agent ecosystems (e.g., OpenClaw or similar frameworks)</li><li>
Track record at early-stage or high-growth startups navigating rapid organizational change</li></ul>
WHY THIS ROLE MATTERS
Veho&rsquo;s leadership has committed to a future where every team runs agentic workflows and every employee can build their own tools. You won&rsquo;t be experimenting on the side&mdash;you&rsquo;ll be building the foundational product that makes that future real. There&rsquo;s no playbook yet. You&rsquo;ll help write it.
Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho teammate shares one galvanizing mission: driving commerce forward with a customer-centric delivery and returns experience that&rsquo;s built for the modern era. We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in our high-performers.<div> 
</div>Join us in building the future of ecommerce logistics and in doing the work of our lifetime!<div></div> 
All California applicants please reference our California Applicant Privacy Notice located here.
Compensation Range: $220K - $265K</div>

Director, Product Engineer - AI Tooling & Builder Experience

Traba

<div>Traba is the AI operating layer for the industrial supply chain.<div></div> 
We started in workforce&mdash;temp staffing, the biggest operational pain point for the manufacturing and logistics customers we serve&mdash;and used it to embed ourselves inside their daily operations and create a far better customer experience through technology.<div></div> 
Now those same customers are pulling us beyond staffing into the broader operational workflows that run their facilities. That foundation gave us proprietary data from millions of shifts and deep enterprise relationships.<div></div> 
But our edge is more than data: by connecting to the systems running across every facility and activating the workers already on our platform to execute against them, we are building applied AI that drives real productivity gains and transforms how the global supply chain operates at scale. 
 
We are backed by Founders Fund, Khosla Ventures, and General Catalyst.<div></div> 
You'll build the AI agents themselves&mdash;the harnesses, evals, orchestration, and model strategy the rest of Traba's product runs on. We're seeking an entrepreneurial AI Agent Engineer to join as a founding member of the Agents team and build the next layer of Traba's product&mdash;an agentic platform that synthesizes the data flowing through our marketplace and operates autonomously inside our customers' supply chain workflows. (Our Applied AI team puts these agents to work across the product; you own the agents and infrastructure they depend on.) You'll embed deeply in our customers' operations, design and ship production agent harnesses on top of frontier models, and turn what you learn in the field into durable product. You will partner closely with our CTO, product, and our operators to take 0-to-1 ideas to scaled deployments.<div> 
</div><h2 class="jobSectionHeader">
About You</h2><ul><li>
Builder with an AI operator's instinct. You've shipped real product on top of LLMs&mdash;not just chat wrappers. You've designed agent harnesses, structured tools, written evals, and tuned prompts against production traces. You think in capability, reliability, and unit economics&mdash;not just whether the model says the right thing.</li><li>
Domain-immersed. You enjoy time with the people who do the work&mdash;learning an industry's vocabulary, edge cases, and operational tempo&mdash;and let that shape what you build.</li><li>
High-agency in ambiguity. Dropped into a fuzzy customer problem with a half-formed hypothesis and a deadline, you scope, build, evaluate, and ship without waiting for a spec.</li><li>
Sweat both ends of the stack. You move between prompt iteration, eval design, backend services, and customer-facing UI in the same week, and you care about evals that catch regressions and traces that are easy to debug.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
You Will</h2><ul><li>
Embed with customers and operators to understand how supply chains run today&mdash;then design and ship agents that take meaningful work off their plate.</li><li>
Build production agent systems on frontier LLMs: tool use, sub-agents, retrieval, structured outputs, MCP servers, and the orchestration that ties them together.</li><li>
Own evaluation as a first-class discipline&mdash;datasets from real traces, rubrics and graders, experiments, and improvements you can prove move the needle.</li><li>
Architect the data, services, and APIs the agent layer depends on&mdash;integrating our internal systems with customers' WMS, TMS, and ERP environments.</li><li>
Codify repeatable deployment patterns so each new customer rollout is faster than the last.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
You Have</h2><ul><li>
1+ years of software engineering experience, with a track record of shipping LLM- or agent-based features to production.</li><li>
Strong in Python and/or TypeScript/Node.js, and comfortable designing APIs, distributed systems, and data models in PostgreSQL.</li><li>
Hands-on with the modern agent stack: production-scale prompt engineering, evaluation frameworks, orchestration patterns, and frontier model APIs.</li><li>
A track record of building in fast, ambiguous environments&mdash;ideally at a vertical AI, AI-agent, forward-deployed, or data-product company.</li><li>
Excellent written and verbal communication&mdash;you can run a customer workshop in the morning and write a clean design doc in the afternoon.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Start-up equity</li><li>
Competitive Salary</li><li>
100% Paid health, dental &amp; vision coverage</li><li>
Dinner Provided via DoorDash, free DashPass &amp; stocked kitchen for NY employees</li><li>
Commuter benefit</li><li>
Gympass Benefit</li><li>
✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health</li></ul><div> 
</div><h2 class="jobSectionHeader">
Salary Range Details</h2>
The compensation range for this position is set between $140,000 and $200,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.<div> 
</div><h2 class="jobSectionHeader">
Equal Opportunity Employer</h2>
Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.<div> 
</div><h2 class="jobSectionHeader">
Our Values</h2>
Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don&rsquo;t sacrifice long-term value for short-term results.
Olympian&rsquo;s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.
Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.
Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries&rsquo; problems<div></div> 
Job Applicant Privacy Notice
Compensation Range: $140K - $200K</div>

Software Engineer (AI Agents)

TIAA

<div>This Software Engineer will lead the development and maintenance of backend systems for the Brooklyn Investment team's equities portfolio management platform, which manages billions of dollars in client assets. The platform connects strategy generation, portfolio rebalancing, trade execution, and advisor-facing interfaces. The engineer in this role will build and maintain full stack services that integrate with multiple data sources, external APIs, and internal microservices, and will contribute to the design and implementation of distributed system components. The role requires ensuring system reliability, performance, and data integrity across the platform while collaborating with internal and client-side engineering teams and business stakeholders to deliver features that support business operations.
The Software Engineer requires strong proficiency in Python, experience designing and implementing distributed systems, and a solid understanding of API integration patterns and microservices architecture. The candidate must also possess strong interpersonal and communication skills to work effectively with clients and their engineering teams directly. 
Key Responsibilities and Duties<ul><li>
Lead the design, development, and ongoing maintenance of FastAPI-based backend services powering core platform capabilities including portfolio rebalancing, trade management, and advisor workflows</li><li>
Integrate with multiple data stores such as PostgreSQL and MongoDB/DocumentDB and build and optimize data pipelines connecting custodial data, security master databases, and real-time market data feeds</li><li>
Develop and maintain AWS infrastructure using CDK, encompassing ECS Fargate deployments and serverless components</li><li>
Collaborate with internal and client-side frontend engineers and business stakeholders to design and implement RESTful APIs consumed by the Vue/Nuxt advisor portal, with opportunities to contribute frontend code as needed</li><li>
Implement monitoring, alerting, and observability solutions using Datadog APM</li><li>
Write comprehensive unit and integration tests to ensure system reliability and resilience across the platform</li></ul>
Educational Requirements<ul><li>
University (Degree) Preferred</li></ul>
Work Experience<ul><li>
3+ Years Required; 5+ Years Preferred</li></ul> 
Career Level 
7IC
Required Qualifications<ul><li>
Minimum 3+ years of professional Python software engineering experience</li></ul>
Preferred Qualifications<ul><li>
5+ years of professional python experience</li><li>
Asset management, financial services, insurance, or fintech experience</li><li>
Data science or data modeling experience</li><li>
Experience building production REST APIs with FastAPI, Flask, or Django</li><li>
Solid understanding of relational databases (PostgreSQL)</li><li>
Familiarity with data validation libraries (Pydantic) and ORM tools (SQLAlchemy)</li><li>
Experience with Python data libraries (Pandas, NumPy) for data transformation and analysis</li><li>
Experience with observability tools (Datadog, New Relic, or similar APM solutions)
</li></ul>Anticipated Posting End Date:
2026-06-27
Base Pay Range: $143,500/yr - $195,000/yr
Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).
_____________________________________________________________________________________________________
Company Overview
Nuveen is a global investment leader, managing public and private assets for clients around the world and on behalf of TIAA, our parent company and one of the world&rsquo;s largest institutional investors. We invest in the growth of businesses, real estate, infrastructure and natural capital, providing clients with the reliability, access and foresight unique to our heritage. Our prevailing perspective on the future drives our ambition to innovate and adapt our business to the changing needs of investors - all to pursue lasting performance for our clients, our communities and our global economy. Visit www.nuveen.com to learn more about us.
Our Culture of Impact
At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in-office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways&mdash;because when our people succeed, our impact on clients' lives grows stronger.
Benefits and Total Rewards
The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That&rsquo;s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.
Equal Opportunity
We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.
Our full EEO &amp; Non-Discrimination statement is on our careers home page, and you can read more about your rights and view government notices here.
Accessibility Support
TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.
If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:
Phone: (800) 842-2755
Email: accessibility.support@tiaa.org
Drug and Smoking Policy
TIAA maintains a drug-free and smoke/free workplace.</div>

Software Engineer - Models Business

RiverForest Connections Inc

<div>Job Summary
Our client - a fast growing hospitality marketplace - is seeking an entrepreneurial Founding iOS Engineer to spearhead and build the next-generation native iOS application from scratch.
This is a premier, high-impact opportunity to architect the technical foundation, set engineering benchmarks, and steer the product direction for a scaling marketplace with complex product workflows. You will directly shape how millions of users interact with the platform&mdash;spanning search, property exploration, booking, profile management, and post-booking experiences.
The client is not looking for someone who simply executes predefined tasks. They want an engineer with acute product instincts, sharp technical judgment, and an uncompromised dedication to software craftsmanship who wants to define the mobile footprint for years to come.
Collaborating closely with Leadership, Product, Design, Backend, and Data teams, you will possess complete autonomy over critical decisions&mdash;from system architecture and developer tooling to app performance, observability, and release infrastructure. Over time, you will also play a key role in cultivating the iOS team and engineering culture.
Responsibilities
<ul><li>End-to-End Ownership: Drive the iOS development for all core marketplace funnels, including search, discovery, property details, checkout, account management, and post-booking features.
</li><li>Greenfield Architecture: Establish a pristine native iOS codebase from scratch, defining patterns for state management, networking, testing, CI/CD pipelines, and release management.
</li><li>Product Collaboration: Partner with Product and Design teams to craft intuitive, highly polished, and reliable mobile interfaces with meticulous attention to detail.
</li><li>Mobile Strategy: Shape the strategic direction of our mobile product, identifying unique mobile-first advantages and ways to differentiate the app from our web experience.
</li><li>API Design: Work alongside backend engineers to design clean, resilient API contracts that allow the application to remain fast and easily adaptable.
</li><li>Performance &amp; Stability: Continuously optimize app health, focusing on launch times, smooth navigation, rendering, networking efficiency, offline functionality, and error handling.
</li><li>Analytics &amp; Observability: Implement comprehensive telemetry and instrumentation to empower product and engineering teams to track user behavior and iterate confidently based on data.
</li><li>Technical Leadership: Set a high bar for engineering excellence through rigorous code reviews, thoughtful architecture decisions, and pragmatic engineering standards.
</li><li>Scale the Platform: Build out the long-term mobile platform roadmap, establishing how our codebase, developer workflows, and team structure will scale over time.
</li><li>Team Building: Act as a foundational leader for the iOS org, helping attract, mentor, and grow a world-class team around you.
</li><li>Product Contribution: Bring strong opinions on mobile UX, proactively suggesting user experience improvements and weighing smart technical tradeoffs rather than just writing code.</li> 
</ul>Tech Stack
<ul><li>iOS: Swift, SwiftUI, UIKit
</li><li>Backend: Ruby on Rails, Node.js
</li><li>Data: Postgres, MongoDB
</li><li>Infra / Observability: AWS, Datadog
</li><li>Testing: XCTest, UI Testing, CI/CD pipelines</li> 
</ul>Candidate Profile
<ul><li>Experience: 5+ years of experience developing production-grade iOS applications featuring significant consumer-facing scale, high complexity, and polished design.
</li><li>Technical Mastery: Exceptional command of Swift and contemporary iOS design patterns.
</li><li>Craftsmanship: Proven track record of shipping fluid native experiences with a sharp focus on responsiveness, fluid animations, performance, and handling edge cases.
</li><li>Architectural Influence: Experience leading or heavily contributing to the architectural layout of a substantial iOS application.
</li><li>Product Mindset: Deep care for product quality, with the ability to translate complex business workflows into elegant, seamless user interactions.
</li><li>Agility: The ability to move quickly and deliver features without accumulating technical debt or long-term structural fragility.
</li><li>Systems Collaboration: Comfortable partnering with backend teams on data contracts, API design, and system-wide tradeoffs.
</li><li>Engineering Rigor: Strong foundational habits around code quality, test coverage, system observability, release safety, and operational accountability.
</li><li>Zero-to-One Drive: Motivated by greenfield projects and eager for broad ownership rather than a narrow, siloed scope.
</li><li>Pragmatism &amp; Taste: Excellent judgment on when to push for perfection, when to simplify, and how to execute smart tradeoffs in a fast-paced environment.
</li><li>Background: Ideally, you have built high-caliber consumer products within elite startups or top-tier engineering organizations known for execution excellence.
</li><li>Culture Add: A thoughtful, low-ego, and collaborative teammate. We believe building a company is a team sport and value a highly ambitious yet supportive culture.</li> 
</ul>Location: New York, NY (In-Person, 4 days/week Mon-Thu) 
Compensation: Very attractive base salary + benefits + substantial equity</div>

Founding iOS Engineer

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