software engineer

product engineer

quality assurance (qa) tester - appian Jobs in New York

quality assurance (qa) tester - appian

software engineer 1

advanced software engineer - java, .net Jobs in New York

advanced software engineer - java, .net

ai developer

Uncommon Schools

<div>Company Description 
Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! 
Job Description 
Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Developer to lead the vision setting for and deployment of AI solutions across Uncommon Schools&mdash;from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day.
Duties &amp; Responsibilities
Solution Vision &amp; Architecture<ul><li>
Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems</li><li>
Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability</li><li>
Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals</li></ul>
Development &amp; Deployment<ul><li>
Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks</li><li>
Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring</li><li>
Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination</li></ul>
Infrastructure &amp; Enablement<ul><li>
Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently</li><li>
Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency</li><li>
Work with Data &amp; IT product managers to determine implementation pathways and data architecture across systems</li></ul>
Governance &amp; Continuous Improvement<ul><li>
Develop and maintain a library of &quot;Prompt Blueprints&quot; and best practices for AI implementation across the organization</li><li>
Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems</li><li>
Coach and support adjacent teams on AI development methodologies and emerging best practices</li></ul> 

Qualifications 
Required<ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience</li><li>
7+ years of professional software development experience</li><li>
5+ years of hands-on experience building integrations using APIs between applications</li><li>
5+ years working with source control and continuous integration tools (such as GitLab)</li><li>
Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js)</li><li>
Experience with frequent, incremental code testing and deployment practices</li><li>
Strong understanding of automation tools and SDLC methodologies</li></ul>
Preferred<ul><li>
Master's degree in Computer Science, Data Science, or related field</li><li>
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch</li><li>
Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI)</li><li>
Experience designing and optimizing prompts for generative AI models</li><li>
Track record mentoring or coaching other developers on technical practices</li></ul> 

Additional Information 
Compensation
Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity &amp; fairness and attracting &amp; retaining top talent.
The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed.
Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range.
Benefit Highlights<ul><li>
19 days of paid time off</li><li>
3 weeks of paid Winter and Summer org-wide holidays</li><li>
Comprehensive Health, Dental, and Vision insurance plans</li><li>
403(b) retirement savings program + employer match</li><li>
Paid leave of absence options (parental, medical, disability, etc.)</li><li>
Mental health and counseling support + wellness benefits</li><li>
Pre-tax flexible spending, dependent care, and health saving accounts</li><li>
A detailed list of all benefits is located HERE</li></ul>
Work Environment<ul><li>
Location: New York, NY | Hybrid (3 days/week in-office)</li><li>
Schedule: 3 days per week in-office in accordance with Uncommon Schools policy</li><li>
On-call availability: You'll be on-call for data infrastructure emergencies</li><li>
Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours</li><li>
Travel: Minimal travel, including quarterly school visits and routine local travel within the region</li><li>
Physical requirements: Minimal physical demands; role primarily involves sitting at a desk for extended periods</li></ul>
At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve-with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture.
As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.</div>

Senior Developer, Data & IT - AI Solutions

Constellation

<div>
 
 
 About Constellation:
 
 
 
 Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016.
 
 
 Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing &amp; Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform.
 
 
 
 About the Role:
 
 
 
 As an AI Solutions Analyst at Constellation, you will be at the forefront of integrating artificial intelligence across the company. You will work cross-functionally with Engineering, HR, Finance, Growth, and Customer Success to identify time sinks, centralize systems, and build in-house AI functionality to replace costly external services and improve internal processes.
 
 
 While this role formally sits within the Finance department, you will operate as a direct extension of our Engineering team, working hands-on with our codebase (React / Next.js, AWS) in a hybrid technical capacity. We are looking for a motivated beginner who is eager to learn new technical skills on the job. In addition to internal operational improvements, you will also take on external, client-facing projects involving data analysis, data scraping, and technical problem-solving.
 
 
 
 This is a hybrid position based in our NYC office with required in-office days Tuesday through Thursday from 9:30 a.m. to 6:00 p.m.
 
 
 
 &nbsp;
 
 
 Role Responsibilities:
 
 <ul>
 <li>
 Cross-Functional AI Integration: Collaborate with internal teams (HR, Finance, Growth, CS, and Engineering) to identify workflow bottlenecks and implement AI-driven solutions that reduce time waste and centralize data.
 </li>
 <li>
 In-House Tool Development: Assist in building and maintaining internal AI tools and features using our tech stack (React, Next.js, and various AWS services), learning and growing your technical skills along the way.
 </li>
 <li>
 Client-Facing Analysis &amp; Advising: Work directly with external clients to understand their challenges, provide data-driven insights and advisory support, and solve technical problems.
 </li>
 <li>
 Data Analysis &amp; Scraping: Perform data scraping and analysis to support both internal strategic initiatives and external client projects.
 </li>
 <li>
 Continuous Learning: Actively learn new programming frameworks, cloud services, and AI methodologies on the job to better support the engineering team and company goals.
 </li>
 </ul>
 
 Requirements
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Business, or a related field.
 </li>
 <li>
 Technical aptitude with a foundational understanding of programming conacepts (data structures, control flow, APIs) and a strong willingness to learn our stack (React, Next.js, AWS).
 </li>
 <li>
 Analytical problem‑solver with the ability to diagnose inefficiencies and propose creative, tech‑forward solutions.
 </li>
 <li>
 Strong communication skills, with the ability to translate technical concepts for non‑technical internal teams and external clients.
 </li>
 <li>
 Adaptability and comfort working in a fast‑paced environment, balancing multiple projects, and navigating ambiguity while learning on the job.
 </li>
 </ul>
 
 &nbsp;
 
 Nice to Haves
 <ul>
 <li>
 Familiarity or personal projects involving React, Next.js, or cloud infrastructure (AWS).
 </li>
 <li>
 Practical understanding of Git and GitHub workflows, including Pull Requests, code reviews, and basic awareness of CI/CD pipelines.
 </li>
 <li>
 Experience using AI‑assisted coding tools or agents (e.g., Cursor) to accelerate development, debugging, or learning.
 </li>
 <li>
 Coursework or hands‑on experience with web scraping (Python, BeautifulSoup, Selenium) or data analysis.
 </li>
 <li>
 Exposure to integrating AI/LLM APIs (OpenAI, Anthropic) into applications.
 </li>
 <li>
 Working knowledge of modern reasoning models (e.g., Claude Opus 4.6, Gemini 3 Flash), including handling large context windows, token economics, and building reliable autonomous workflows.
 </li>
 <li>
 Prior internship or project experience in consulting, client‑facing, or technical support roles.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Other Job Information:
 
 
 &nbsp;
 
 
 
 This job description is not all-inclusive. Constellation reserves the right to amend this job description at any time.&nbsp;
 
 
 &nbsp;
 
 
 
 Benefits at Constellation:
 
 
 &nbsp;
 
 
 <ul>
 <li>
 Comprehensive health coverage, including medical, dental, and vision
 </li>
 <li>
 Flexible PTO to support rest, balance, and personal needs
 </li>
 <li>
 Hybrid work environment blending in‑office collaboration with remote flexibility
 </li>
 <li>
 Casual dress code when working on site
 </li>
 <li>
 Competitive 401(k) plan with company match
 </li>
 <li>
 Commuter and parking benefits for NYC‑area employees
 </li>
 <li>
 Paid family leave for major life moments
 </li>
 <li>
 Subsidized lunches, plus free snacks and beverages stocked in the office
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Diversity &amp; Inclusion:
 
 
 &nbsp;
 
 
 
 Constellation is an Equal Opportunity Employer, committed to providing a diverse and inclusive environment. Here at Constellation we don't discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law.&nbsp;
 
 
 If you need an accommodation during any part of the interview process, due to a disability, please let a People Team Member know.&nbsp;
 
 
 &nbsp;
 
 
 
 Compensation Package:
 
 The total compensation package is made up of base compensation, equity, and benefits.
 
 
 
 New York Pay Range:
 
 $85,000.00 - $100,000
 
 
 &nbsp;
 
 
 : hybrid positions
 
</div>

AI Analyst

Uptime Crew

<div>
 
 
 Artificial Intelligence Engineers (50+ openings | Entry Level)
 
 
 
 
 
 
 Job Type: Full-time
 
 
 Level: Entry Level
 
 
 Pay: $110,000+
 
 
 U.S. Work Authorization Required
 
 (No Visa Sponsorship)
 
 
 
 
 
 
 
 AI won&rsquo;t take your job&mdash;if you&rsquo;re the one it depends on.
 
 
 
 
 
 
 Uptime Crew is a community of engineers and technicians built for environments where precision, discipline, and reliability keep the world running. We operate inside real, always-on production systems at global technology companies, where safety comes first, consistency matters, and uptime is earned.
 
 
 
 
 
 Uptime isn&rsquo;t a metric. It&rsquo;s a mindset.
 
 
 
 Join the Crew that keeps the future online.
 
 
 
 
 
 
 
 What you will do on the job
 
 
 <ul>
 <li>
 Drive the adoption of AI-assisted DevSecOps practices, using large language models and automation tools to accelerate secure containerization of legacy applications while maintaining security compliance.
 </li>
 <li>
 Develop and maintain AI-enhanced CI/CD pipelines that automatically generate security policies, container configurations, and infrastructure-as-code templates based on application requirements and best practices.
 </li>
 <li>
 Use AI coding assistants for implementation, refactoring, and documentation while following team guidelines.
 </li>
 <li>
 Generate unit and integration tests, improve coverage, and reduce defects.
 </li>
 <li>
 Speed up PRs with AI-assisted reviews, summaries, and risk notes.
 </li>
 <li>
 Query logs and docs with AI to troubleshoot issues and unblock work.
 </li>
 <li>
 Partner with product, design, security, and compliance to ship increments that meet fintech standards.
 </li>
 </ul>
 
 
 Minimum qualifications
 
 
 <ul>
 <li>
 Hands-on coding experience through coursework, projects, or internships.
 </li>
 <li>
 Strong fundamentals in data structures, algorithms, and web or backend basics.
 </li>
 <li>
 Ability to learn quickly and work in an Agile team.
 </li>
 <li>
 Bachelor&rsquo;s degree.
 </li>
 <li>
 Legally authorized to work in the United States without employer sponsorship.
 </li>
 <li>
 Willing to work on-site in one of the listed locations
 </li>
 </ul>
 
 
 Nice to have
 
 
 <ul>
 <li>
 Projects that show AI-assisted development, such as AI-generated tests or AI-supported refactors.
 </li>
 <li>
 Experience with cloud services, databases, or CI/CD.
 </li>
 <li>
 Interest in security, privacy, and handling sensitive data.
 </li>
 </ul>
 
 
 
 
 
 Benefits and compensation
 
 
 <ul>
 <li>
 Salary (including on-the-job-training): $110,000+ per year
 </li>
 <li>
 Health insurance including medical, vision, and dental
 </li>
 <li>
 Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 Matching 401(k)
 </li>
 <li>
 Up to 15 days PTO and 14 Paid Holidays
 </li>
 <li>
 Get a week off at the end of the year to unplug from work, rest and recharge
 </li>
 <li>
 Take a day off to celebrate your birthday
 </li>
 <li>
 Tuition Reimbursement
 </li>
 <li>
 +Additional Benefits
 </li>
 </ul>
 
 
</div>

Software Engineer

PJT Partners

<div>PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.
From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.
To learn more about PJT Partners, please visit our website at www.pjtpartners.com .
<h1 class="jobSectionHeader">Responsibilities
</h1>The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm&rsquo;s business activities. Our Technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm&rsquo;s AI initiatives. This is a platform engineering role &mdash; the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm&rsquo;s security and compliance requirements.
Responsibilities include:
AI Platform &amp; Developer Infrastructure
<ul><li>Design, build, and operate the firm&rsquo;s AI platform, enabling developers to build and deploy Python-based AI applications;
</li><li>Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;
</li><li>Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
</li><li>Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
</li></ul>Data Infrastructure &amp; Pipelines
<ul><li>Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;
</li><li>Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;
</li><li>Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB.
</li></ul>Cloud Infrastructure &amp; DevOps
<ul><li>Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);
</li><li>Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;
</li><li>Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;
</li><li>Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.
</li></ul>Security, Governance &amp; Compliance
<ul><li>Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;
</li><li>Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;
</li><li>Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;
</li><li>Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level.
</li></ul>Collaboration &amp; Documentation
<ul><li>Produce architecture designs, runbooks, and technical documentation for all platform components;
</li><li>Support application developers building AI-powered applications with platform guidance and troubleshooting;
</li><li>Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure.
</li></ul><h1 class="jobSectionHeader">Qualifications
</h1>PJT Partners seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following:
<ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, or related field (Master&rsquo;s degree is a plus);
</li><li>8+ years in infrastructure engineering, cloud platform engineering, or data engineering;
</li><li>Demonstrated experience building shared platforms or developer services in an enterprise environment;
</li><li>Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;
</li><li>Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;
</li><li>Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;
</li><li>Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;
</li><li>RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;
</li><li>Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;
</li><li>Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;
</li><li>DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;
</li><li>Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);
</li><li>Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;
</li><li>Azure certifications: AI-102, DP-203, or AZ-305;
</li><li>Prior experience in investment banking or regulated financial services environments.
</li></ul>Expected annualized base salary of $175,000 to $215,000.
This range represents the low and high ends of the expected annualized base salary for this position. The specific base salary received by any employee will be informed by a number of factors, including but not limited to, role level and scope, location, candidate&rsquo;s relevant qualifications, skills and experience.
Base salary is one component of PJT Partners&rsquo; compensation structure. In addition to base salary, PJT Partners&rsquo; compensation structure may include additional rewards, incentives and benefits, including but not limited to, a discretionary bonus component.
PJT is an equal opportunity employer. We do not discriminate on the basis of, and will consider all qualified applicants for employment without regard to race, color, religious creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity expression, disability, medical condition, genetic information or predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other category protected by law. PJT Partners also complies with all applicable laws with regard to providing reasonable accommodation of disabilities to applicants. For more information or to request an accommodation, please contact Human Resources.
California Applicants: PJT Partners will consider for employment qualified applicants with arrest and/or conviction records in a manner consistent with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance and/or Los Angeles Fair Chance Initiative for Hiring Ordinance.
Applicant Privacy Notice:
View our Applicant Privacy Notice https://info.pjtpartners.com/PJT_Global_Applicant_Privacy_Notice here. If you are a California resident, please refer to our California Applicant Privacy Notice https://info.pjtpartners.com/California_Applicant_Privacy_Notice for further information. 
 
*In order to be considered, please ensure your resume/CV is submitted in PDF format.</div>

Vice President - Technology (Data & AI Infrastructure Engineer)

Realign

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role: Java Full Stack Developer/Architect</div><div>
Location: New York, NY / Irving, TX / Edison, NJ</div><div>
FTE</div><div></div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div> 
Roles &amp; Responsibilities</div><div></div><div> 
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div> 
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div> 
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div></div><div> 
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div> 
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools
Required Skills
CLOUD DEVELOPER</div>

Java Full Stack Developer/Architect-6

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Title: Senior Manager, Software Engineering - Cloud Platform
 
Location: New York, NY; San Francisco, CA
About the Team
The Cloud Platform Engineering team builds and operates the highly available, active-active mission-critical infrastructure that powers Salesforce at scale. We treat the internal cloud as a product designed to maximize developer velocity through automation-first thinking and a strict &quot;No Ticket-Ops&quot; philosophy. We are defining the next generation of platform engineering by running a LEAN, innovative team (4&ndash;6 FTEs) that leverages AI as much as humanly possible. By integrating AI agents directly into our GitOps workflows and our enterprise WorkOS (Slack), we aim to build a smart, secure platform that our internal developers love.
The Shared Team DNA While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
<ul><li>Customer Focus: Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</li><li>Automation: Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</li><li>Security: Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</li><li>SRE Mindset: Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</li><li>Observability: Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</li></ul>About the Role
As a Senior Manager and &quot;Player-Coach,&quot; you are the Product Owner for our next-generation internal cloud platform. In our team's operational model, while your engineering leads determine how the platform is built and validated, you determine what needs to be built. You prioritize the strategic roadmap, own the primary relationship with our CISO and executive security stakeholders, and grow a high-performing engineering organization. You will bridge the gap between developer velocity and rigorous security, ensuring the platform meets our strictest Mission Critical and NIST 800-53 R5 compliance standards by design.
Your Impact - Responsibilities
<ul><li>Product Ownership &amp; Strategy (Primary Focus)
<ul><li>The Roadmap: Act as the ultimate product owner for the platform. You will prioritize the roadmap (e.g., expanding to new geographic regions, supporting new computer architectures) based on customer needs and business value.
</li><li>Stakeholder Alignment: Own the relationship with the Security organization and the CISO, ensuring our platform's automated guardrails satisfy enterprise compliance requirements seamlessly.
</li></ul></li><li>People Leadership &amp; Culture
<ul><li>Team Growth: Hire, coach, and develop a LEAN, elite team SREs, Architects, and Security Automation Engineers, providing regular feedback and career guidance.
</li><li>Operational Culture: Instill a &quot;No Ticket-Ops&quot; and &quot;Shift-Left&quot; philosophy where all tasks&mdash;from environment provisioning to incident response&mdash;are fully automated via CI/CD pipelines.
</li><li>Collaboration: Foster an inclusive environment that values psychological safety, post-mortem excellence, and continuous learning.
</li></ul></li><li>FinOps &amp; Technical Governance
<ul><li>Cloud Economics: Act as the ultimate owner of the cloud budget. Drive financial accountability across engineering teams by shifting cost-estimation left into the Pull Request process, flagging cost impacts before resources are deployed.
</li><li>AI Integration: Oversee the strategic integration of AI Agents and LLMs into the GitOps workflow to automatically analyze infrastructure Pull Requests, accelerating approvals and reducing human toil.
</li></ul></li></ul>Minimum Qualifications
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</li><li>8+ years of software engineering/cloud infrastructure experience with 3+ years of direct people management experience.
</li><li>Proven experience operating as a Product Owner or Engineering Manager for an enterprise-scale internal developer platform or cloud landing zone.
</li><li>Deep understanding of multi-account cloud strategies, centralized governance, and programmatic preventative guardrails.
</li><li>Proven track record of designing and operating mission-critical services with 99.999% uptime requirements, automated failover mechanisms, and active-active regional architectures.
</li><li>Strong understanding of modern, cloud-native security paradigms, including &quot;Private-by-Default&quot; networking, centralized egress inspection, and enterprise-grade secrets management.
</li></ul>Preferred Qualifications
<ul><li>Experience leading teams that implement and scale automated &quot;vending machine&quot; solutions to provision secure, compliant cloud environments instantly.
</li><li>Background working within heavily regulated environments (e.g., NIST 800-53, FedRAMP, SOC 2, SOX) and automating compliance evidence collection.
</li><li>Familiarity with leveraging LLMs and AI Agents to automate code reviews, security audits, or operational runbooks.
</li><li>Track record of improving team engagement, diversity, and retention metrics within highly technical platform or SRE teams.
</li></ul>*LI-Y
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Senior Manager, Software Engineering - Cloud Platform

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Title: Senior Member of Technical Staff (SMTS) - Site Reliability Engineer (Cloud Automation)
Location: New York, NY; San Francisco, CA
About the Team
The Cloud Platform Engineering team builds and operates the highly available, active-active mission-critical infrastructure that powers Salesforce at scale. We treat the internal cloud as a product designed to maximize developer velocity through automation-first thinking and a strict &quot;No Ticket-Ops&quot; philosophy. We are defining the next generation of platform engineering by running a LEAN, innovative team that leverages AI as much as humanly possible. By integrating AI agents directly into our GitOps workflows and our enterprise WorkOS (Slack), we aim to build a smart, secure platform that our internal developers love.
The Shared Team DNA
While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
<ul><li>Customer Focus: Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</li><li>Automation: Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</li><li>Security: Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</li><li>SRE Mindset: Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</li><li>Observability: Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</li><li>About the Role
</li></ul>While the Architect determines how our platform should be designed, you are the engineer who actually builds the cloud infrastructure engine. As a Senior SRE focusing on Cloud Automation, you will partner closely with our enterprise CI/CD teams to seamlessly integrate our platform's capabilities into the developer workflow. You are responsible for building the infrastructure vending machines and the enterprise-grade infrastructure-as-code (IaC) modules that abstract away cloud complexity. You will empower internal developers to provision secure, compliant environments in minutes via self-service ChatOps workflows.
Your Impact - Responsibilities
<ul><li>The Vending Machine: Build, maintain, and scale the automated provisioning workflows that orchestrate the creation of new, fully governed multi-account cloud environments.
</li><li>&quot;Golden Modules&quot;: Author, test, and maintain a library of pre-approved Infrastructure-as-Code templates that internal developers will consume. Ensure these modules enforce our strictest standards by default.
</li><li>Shift-Left Integrations: Partner with the enterprise CI/CD team to plug our platform's automated security scanning, Policy-as-Code evaluations, and cost-estimation checks directly into the developer's Pull Request process.
</li><li>Resilience &amp; Observability: Implement data-plane-driven automated failover mechanisms, and develop integrations that connect our provisioning tools to our enterprise WorkOS (Slack) for real-time operational intelligence.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</li><li>7+ years of software engineering or Site Reliability Engineering experience in large-scale cloud environments.
</li><li>Expert-level proficiency in Infrastructure-as-Code (strictly Terraform) and managing state in highly distributed architectures.
</li><li>Strong programming skills in Python, Go, or similar languages used for building automation tooling and API integrations.
</li><li>Proven experience operating multi-region, active-active cloud environments and implementing automated disaster recovery tests.
</li><li>Deep understanding of GitOps workflows and integrating infrastructure guardrails into existing enterprise CI/CD pipelines.
</li></ul>*LI-Y
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering SMTS - Cloud Reliability

Explore 338+ Ai developer in New York this March. Find roles across top companies and apply now to boost your career.