staff software engineer

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

Valence

<div>Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We&rsquo;re not just talking about the future of work &mdash; we&rsquo;re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365
Our focus is on the problems that actually decide whether AI changes how organizations operate &mdash; the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.
And this isn&rsquo;t for everyone. We&rsquo;re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what&rsquo;s possible, who get bored when things feel &ldquo;done,&rdquo; and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.<div></div> 
The Role
As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk. Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.
Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path. You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.
We don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute across challenges that span reliability, security, global delivery, and developer experience.<div></div> 
About Valence
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.<div></div> 
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestl&eacute;, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.<div></div> 
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
What You'll Do<ul><li>
Build the paved roads. Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.</li><li>
Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.</li><li>
Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.</li><li>
Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.</li><li>
Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.</li><li>
Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.</li><li>
Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.</li></ul>
What We're Looking For<ul><li>
Technical foundation: 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.</li><li>
Platform mindset: You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.</li><li>
Reliability and change-safety expertise: Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.</li><li>
Cloud &amp; deployment experience: Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).</li><li>
Security &amp; compliance awareness: Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.</li><li>
Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.</li><li>
Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.</li><li>
Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.</li></ul>
What You'll Get<ul><li>
Ownership &amp; Rapid Growth</li><li>
Outsized missions from day one, with direct responsibility for company-defining projects</li><li>
Work alongside the executive team with transparency into strategy and decision-making</li><li>
Influence on direction through real-time customer feedback and market insights</li></ul><div></div><ul><li> 
AI-First Operator</li><li>
Work directly with cutting-edge AI models and next-generation platforms</li><li>
Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries</li><li>
Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale</li></ul><div></div><ul><li> 
Compensation</li><li>
Competitive salary including base + bonuses</li><li>
Comprehensive health coverage (medical, dental, vision) from day one</li><li>
Generous PTO, company-wide R&amp;R shutdowns, and paid parental leave</li><li>
Retirement plan support for US and global employees</li></ul><div></div><ul><li> 
Equity</li><li>
Meaningful ownership in a venture-backed company at a growth inflection point</li><li>
Financial upside that comes from scaling fast</li><li>
Top-up grants as we scale and you deliver exceptional performance &mdash; your compensation grows alongside your impact</li></ul><div></div><ul><li> 
Top-Performing Culture</li><li>
A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together</li></ul><div></div> 
Learn more about us and meet our team here
Location and Work Environment
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.<div></div> 
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.<div></div> 
Employment Verification &amp; Commitment
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.
Valence is committed to protecting the privacy of all applicants. Information you submit will be used for recruiting, evaluation, legal compliance, and recordkeeping purposes only. We do not require access to personal account credentials at any stage of the hiring process. For more information, see our Candidate Privacy Notice.<div></div> 
#LI-HYBRID</div>

Staff Software Engineer, Platform

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of software development experience in C++ or Java.</li>
<li>5 years of experience testing, and launching software products.</li>
<li>3 years of experience with software design and architecture.</li>
<li>Experience designing and building proxy services or high-throughput networking infrastructure.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>8 years of experience with data structures and algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
<li>Experience with ﻿security domain.</li>
<li>Understanding of Zero Trust architectures.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Apps Building Block Partitioning team enables Google Workspace to achieve peak reliability and comply with global data sovereignty policies. Our infrastructure routes over 60 million Queries Per Second (QPS) and continues growing.<div>
As a Staff Software Engineer, you will own the technical strategy for a new Zero Trust security gateway securing traffic between data centers. You will transform ambiguous compliance requirements into a scalable, high-performance proxy infrastructure, enabling Workspace to operate securely in high-risk environments. You will address complex distributed systems challenges at massive scale. You will design infrastructure ensuring services like Gmail, Calendar, and Drive are resilient and compliant for billions of global users. You will work on a highly visible team valued by senior leadership.</div>
AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Lead the end-to-end design and deployment of a mission-critical Zero Trust security gateway that secures traffic between disparate data center tiers globally. Own the technical strategy for ensuring this infrastructure meets rigorous security requirements while maintaining high availability.</li>
<li>Collaborate with product teams across the Workspace and non-Workspace boundary to identify necessary boundary crossings and help them securely onboard to the proxy.</li>
<li>Ensure the proxy adds minimal latency to critical cross-region Remote Procedure Call (RPC) paths, balancing rigorous security verification with the performance needs of Workspace services.</li>
<li>Maintain accountability for the technical quality of the code base, adhering to Google's most stringent engineering best practices.</li>
<li>Partner with security experts to ensure complex regulatory and security requirements are properly translated into infrastructure controls.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Infrastructure Platform

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health is seeking a Staff Software Engineer specializing in developing machine learning solutions using Agentic AI/ML serving as a leader and role model in engineering for both peers and clients.
The successful candidate will lead project teams working with a diverse range of technologies, including both legacy IBMi AS400 Series systems and advanced Agentic AI/ML frameworks.
This team is part of the very impactful Claims Adjudication team and this role will be instrumental in our leap to modern AI driven approaches.
**We will consider remote US for the right candidate
Key Responsibilities<ul><li>
Able to develop a vision and formulate implementation plans to achieve end goals, evaluating situations, decisions, and issues in the short, medium, and long term.</li><li>
Capable of breaking down complex problems, processes, or projects into manageable components for systematic exploration and evaluation.</li><li>
Design and implement complex software solutions for APIs, microservices, CI/CD pipelines, and real-time streaming on cloud platforms such as Azure or GCP.</li><li>
Conduct research on emerging technologies, design principles, and development frameworks to ensure software solutions remain current, innovative, and future-proof.</li><li>
Provide technical guidance in software design and development activities, ensuring clean, scalable, and maintainable code following best practices and design patterns.</li><li>
Oversee the lifecycle process&mdash;including design, analysis, review, and testing results&mdash;to ensure adherence to quality standards and to deliver high-quality products.</li><li>
Lead the design, development, and optimization of AI/ML models for various use cases, ensuring a seamless transition into modern technologies while maintaining robust legacy infrastructure.</li><li>
Perform model training, evaluation, and fine-tuning with consideration of constraints and opportunities posed by legacy architectures.</li><li>
Partner with teams across functions and provide expert solutions to multiple complex technical projects/initiatives using interlocking technologies.</li><li>
Quickly acquire domain knowledge and build subject matter expertise to advise and guide technical leads and peers.</li><li>
Establish and drive execution of technical direction, standards, guidelines, and methodologies, while advocating best practices.</li><li>
Work to improve existing test automation processes, enhancing efficiency and reducing manual intervention across both legacy and modern environments.</li><li>
Develop and refine strategic and enterprise-wide technical direction.</li><li>
Create or revise operating procedures relating to specific technologies or IS processes.</li><li>
Lead assigned team projects and mentor junior resources as needed.</li></ul> 
Required Qualifications<ul><li>
7+ years of experience as a Machine learning engineer or combination of machine learning and software engineering with 5+ years leading software development projects, including setting project goals, monitoring progress, tracking milestones, communicating with stakeholders, and mentoring junior developers</li><li>
5+ years of Python programming with In-depth understanding of APIs and microservices-based architecture and Git and version control</li><li>
2+ years of experience in AI and agentic solution development, including: Designing and deploying intelligent agents and autonomous workflows, Integrating AI/ML models into cloud-native applications. Leveraging LLMs, vector databases, and orchestration frameworks to build agentic systems, Applying prompt engineering, retrieval-augmented generation (RAG), and multi-agent collaboration patterns</li><li>
5+ years of experience developing software</li></ul> 
Preferred Qualifications<ul><li>
10+ years leading concurrent technical projects in both legacy IBMi/AS400 or similar and emerging technologies</li><li>
Health care industry domain knowledge</li><li>
Experience with enterprise development tools and methodologies (XP, Agile), including DevSecOps and DataOps</li><li>
Experience integrating with legacy IBMi AS400 applications and developing roadmaps for application modernization</li><li>
Experience with RxClaim or other PBM adjudication systems</li></ul> 
Education
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field or equivalent experience. An advanced degree is preferred.
Pay Range
The typical pay range for this role is:
$118,450.00 - $260,590.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/08/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Staff Software Development Engineer (Agentic AI/ML)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Technologies, Inc.
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
<div>Qualcomm is seeking a Sr. Staff / Principal-level Software Engineer to provide system-level technical leadership for next-generation ARM server platforms. This role spans Linux kernel, firmware, and platform software, with responsibility for shaping architecture, guiding cross-functional execution, and ensuring production-quality delivery for hyperscale datacenter environments.
This role works across silicon, firmware, OS, and performance teams to enable high-performance ARM server SoCs, optimize system software, and ensure compliance with industry platform standards.
<div><div>Key Responsibilities
<ul><li>Provide system-level technical leadership across Linux kernel, firmware, and platform software for ARM server SoCs.
</li><li>Define and guide architecture across HW FW OS hypervisor boundaries using standards such as ACPI, UEFI, SystemReady, SBSA/SBBR, and PSCI.
</li><li>Drive Linux kernel enablement, performance optimizations, and platform drivers for high-performance server platforms.
</li><li>Collaborate with silicon, performance, RAS, security, and platform teams to identify optimization opportunities and architectural risks.
</li><li>Guide boot flows, runtime firmware, power and performance management, virtualization, memory, PCIe, and telemetry enablement.
</li><li>Ensure operating systems run efficiently on Qualcomm server platforms and evolve to support new architectural features.
</li><li>Review designs and implementations to ensure scalability, robustness, and production readiness.
</li><li>Influence SoC and platform roadmaps through system-level analysis and technical leadership.
</li><li>Mentor senior engineers and serve as a technical authority across firmware and system software domains.
</li></ul></div></div></div>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
 
 
<ul><li>3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>Preferred Qualifications:
<div><div><ul><li>12+ years of experience in system software, firmware, or platform software for high-performance or server-class systems.
</li><li>10+ years of hands-on Linux kernel development experience.
</li><li>Strong understanding of modern server architectures and the HW/SW interface.
</li><li>Proficiency in C and low-level systems programming (assembly is a plus).
</li><li>Experience with firmware, boot loaders, and pre- and post-silicon debug environments.
</li><li>Proven ability to lead cross-functional technical initiatives without direct authority.
</li><li>Strong communication skills with the ability to work effectively across engineering teams and senior leadership.
</li><li>Master&rsquo;s degree or equivalent industry experience.
</li><li>15+ years of experience building production software stacks for high-performance or datacenter platforms.
</li><li>Experience delivering production server SoCs or hyperscale platforms.
</li><li>Familiarity with ARM, OCP, or industry platform standards bodies.
</li><li>Experience working with hyperscaler or large datacenter customers.
</li></ul></div></div><div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. 
Pay range and Other Compensation &amp; Benefits :
$180,600.00 - $271,000.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Sr. Staff / Principal Software Engineer – Linux Kernel & ARM Server Platforms

GovDocs

Job Title: Software EngineerReports to: Software Engineering ManagerStatus: Regular Full TimeNow Hiring: Senior Software EngineerWe&rsquo;re looking for a Full Stack Software Engineer with strong front-end skills to help bring our products to life. You&rsquo;ll play a critical role in shaping how users experience our product every day, ensuring that what we build is delightful to use. You'll work on a cross-functional team, solve interesting problems, and grow your technical skills while delivering high-quality software.What You&rsquo;ll Do: <ul><li>Build and maintain intuitive, accessible, front-end experiences using modern technologies like React and TypeScript</li><li>Contribute to backend APIs that support full-stack feature delivery</li><li>Participate in design and planning discussions to break down features into well-scoped technical work</li><li>Write clean, maintainable, well-tested code and contribute to code reviews of others</li><li>Debug and resolve issues across the stack</li><li>Collaborate with product managers, designers, and engineers to deliver valuable functionality</li><li>Learn from teammates and continuously improve your skills and understanding of system architecture and product impact</li><li>Work closely with a dedicated mentor to support your growth, learning, and career development</li></ul>What You Bring: <ul><li>3+ years of professional software development experience, with a track record of delivering software from inception through development, release, and ongoing support and operations</li><li>Strong front-end development skills with experience in React, TypeScript, and responsive UI frameworks (e.g. Mantine), and automated testing frameworks, such as Playwright</li><li>Experience with backend development (e.g., AWS Lambda), REST APIs, and databases (e.g., MongoDB)</li><li>Familiarity with CI/CD pipelines, Git-based workflows, observability and monitoring tools (e.g. Datadog) and testing best practices</li><li>Curiosity, coachability, and a desire to grow as a full-stack engineer</li><li>Clear communication and a collaborative mindset</li><li>A passion for creating polished, user-centered software that solves meaningful problems</li></ul>Who You Are: <ul><li>You lead by example and share your passion to inspire those around you for growth. You are authentic, driven and positive.</li><li>You possess emotional intelligence and empathy. You have a good sense of humor, are self-aware and self-critical, but not arrogant. You handle interpersonal dynamics with grace.</li><li>You do more than the minimum to achieve outstanding results by being hands-on and rolling up your sleeves now and again when it&rsquo;s necessary.</li><li>You thrive in a growth-oriented company by embracing and adapting to changes easily. You are open-minded and flexible.</li><li>Your clear communication fosters understanding and collaboration. You express ideas effectively but are also an active listener.</li></ul>Flexible Work Model: We believe that the best way for us to grow is through a work environment that provides flexibility. Currently, our employees work together in our Eagan, MN office two days a week, where interactions happen with higher frequency and effectiveness to tackle complex problems. This supports collaboration, team engagement, and business innovation. At the same time, we value the benefits of working from home three days a week, where employees have more focused, uninterrupted time with minimal distractions for dedicated project and productive work.Best Places to Work 2024: GovDocs was named one of the 2024 Best Places to Work by the Minneapolis/St. Paul Business Journal! Being named an honoree was no easy feat, as they received over 300 nominations for this year&rsquo;s award. GovDocs was one of the top-scoring Minnesota businesses honored in the medium company category (50-250 employees) for creating a fun, challenging, and rewarding workplace. Read more about GovDocs as Best Places to Work 2024 here: https://bizj.us/1qlh8sCompany Description:GovDocs serves companies in building and executing their employment law compliance programs in two primary ways:<ul><li>Employment Law Posting Update Program: We manage all the complexities of identifying and providing the required set of employment law postings from the 1,700+ potential postings across the U.S. and Canada. Using proprietary technology, we allow companies to manage, track and verify postings at each of their locations &ndash; including our patent pending PosterCheck technology. Our Employment Law Posting Update service is used by almost 22% of the Fortune 500 and 30% of the Fortune 100.</li><li>Employment Law Compliance Software Solutions: This is a first to market Software-as-a-Service starting with our Minimum Wage product and Paid Leave products, which allow companies to identify and track which laws apply to their locations and employees, then provides all relevant data to make decisions. This service was created in response to requests from some of our largest customers who recognized that employment law expansion across and variances between jurisdictions (Federal, State and Local) were too difficult to manually track.</li></ul>GovDocs has grown revenue annually by 18% since 2008 with a 96% customer retention rate, primarily due to our Postings Update Program both obtaining and retaining customers &ndash; as employment law postings are required by law, every company has an existing provider. Our Software Solutions are an entirely new line of business that gives us great growth potential to create a full Employment Law Compliance (ELC) platform of solutions, it is also challenging us to reinvent how we view urgency, innovation and teamwork. You must be authorized to work in the United States. Immigration or work visa sponsorship will not be provided. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Compensation:This position is critical to the success of our business and the compensation package will be commensurate with candidate's experience and skills. This role will include a base salary and performance-based incentives. Benefits include paid vacation, paid volunteer time, paid holidays, medical insurance, dental insurance, vision insurance, flexible spending account, health savings account, group life insurance, voluntary life insurance, group short-term disability, group long-term disability, critical illness insurance, accident insurance, hospital indemnity insurance, a matching 401(k), employee assistance programs, pet health insurance, and value-added programs.Base salary range: $100,000 &ndash; $120,000Send resume, salary requirements and cover letter to careers@govdocs.comJob Type: Full-timePay: $100,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Will you now or in the future require sponsorship for an employment visa?</li><li>What are your salary expectations for this role?</li><li>Are you willing and able to commute to the Eagan, MN office twice per week?</li></ul>Work Location: Hybrid remote in Saint Paul, MN 55121

Software Engineer: $100-120,000, 3+ Years Required, MN Based, Hybrid - 2 Days in Office

Honor

<div><div>Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.</div><h3 class="jobSectionHeader">
About Us</h3>

Our mission is simple&mdash;we're changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we're solving complex problems that don't come with a playbook. Sound exciting? If you're someone who shares our core values&mdash;Own the Outcome, Solve with Empathy, and Act with Honor&mdash;let's talk.

Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning.

At Honor, we're not building technology for technology's sake. We're building technology that helps people deliver better care.
<h3 class="jobSectionHeader">
The Opportunity</h3>

We're looking for a Staff Data Engineer to help shape the future of Honor's data platform.

This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization.

This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<h4 class="jobSectionHeader">Build and Evolve Our AWS-Native Data Platform</h4>
<ul><li>Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.</li>
<li>Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads.</li>
<li>Define and implement Infrastructure-as-Code standards using AWS CDK.</li>
</ul><h4 class="jobSectionHeader">Own Data Orchestration and Data Engineering Foundations</h4>
<ul><li>Design and operate scalable orchestration frameworks using Airflow and FiveTran.</li>
<li>Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt.</li>
<li>Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation.</li>
</ul><h4 class="jobSectionHeader">Enable Trusted Data Access Through Governance and AI Readiness</h4>
<ul><li>Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use.</li>
<li>Help define how both employees and AI-powered systems safely access and leverage company data.</li>
<li>Build the foundations that enable self-service analytics and future agentic workflows across the organization.</li>
</ul><h4 class="jobSectionHeader">Drive Reliability, Observability, and Operational Excellence</h4>
<ul><li>Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices.</li>
<li>Build scalable data quality frameworks that ensure confidence in business-critical data.</li>
<li>Continuously improve platform reliability, performance, and cloud cost efficiency.</li>
</ul><h4 class="jobSectionHeader">Lead Through Technical Influence and Partnership</h4>
<ul><li>Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data.</li>
<li>Provide technical leadership, architectural guidance, and mentorship across the data organization.</li>
<li>Influence long-term platform strategy and engineering best practices across multiple teams.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>8&ndash;10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS.</li>
<li>Proven track record leading complex technical initiatives and influencing architecture across teams.</li>
<li>Strong software engineering fundamentals and experience building production-grade systems.</li>
<li>Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design.</li>
<li>Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization.</li>
<li>Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems.</li>
<li>Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact.</li>
<li>Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority.</li>
<li>Passion for building platforms that empower others and scale organizational impact.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK.</li>
<li>Experience designing data governance, metadata, lineage, or self-service data platforms.</li>
<li>Experience supporting AI, machine learning, or agentic workflow initiatives.</li>
<li>Experience leading platform modernization efforts in high-growth environments.</li>
<li>Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager.</li>
</ul><h3 class="jobSectionHeader">What's Next?</h3>

Sound like a fit? Apply below!

#LI-AN1<div>
At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.</div></div>

Staff Data Platform Engineer

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