
Mongodb · California; Oregon; Washington
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legac...
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging
Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.
We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and
the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and
infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or
network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive
environments with making them easily extensible and scalable for common application modernization challenges.
We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and
technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application
modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer
compliance requirements, and help shape the future of how global enterprises leverage GenAI.
The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed
systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.
This role will be based in North America's West Coast (PST), and offers a hybrid working model.
infrastructure
rigorous input validation
improvement
workflow of application modernization stages
to an autonomous workflow
ecosystem
critical building blocks of application modernization toolset
client environments
orchestration framework and the workflow components it manages
enabling the team to smoothly land the planned roadmap
team members
our Field Engineering teams
AMP organization into a self-driving high-performing engineering team
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the
data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data
platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy
workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed,
multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for
their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s
what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching
culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our
employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what
it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and
interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination
and harassment of any type and makes all hiring decisions 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.
Req. ID: 1273362664
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based
on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total
compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock
purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance,
401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings.
Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team. We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems. This role will be based in North America west coast, and offers a hybrid working model. THE IDEAL CANDIDATE FOR THIS ROLE WILL HAVE * 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure * 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results * Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling * Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB) * Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus * Curiosity, a positive attitude, and a drive to continue learning * Excellent verbal and written communication skills * Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity POSITION EXPECTATIONS * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement * Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant * Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs * Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset * Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence * Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary SUCCESS MEASURES Within the first three months, you will have: * Fully ramped up on our architecture, business domain, and team processes * Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap * Begin mentoring team members and building strong collaborative relationships with your product counterparts Within six months, you will have: * Successfully led the team to deliver a major feature or product release * Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams * Established a clear rhythm of execution and a high-performing culture within your team Within 12 months, you will have: * Become recognized as the go-to technical expert for the code transformation domain at MongoDB * Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business * Played a crucial role in recruiting, hiring, and growing the engineering team ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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. REQ ID: 1273362479 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $151,000—$297,000 USD
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Sr. Staff Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Engineering in the Software Engineering department. In this role, you will join the Zero Trust Branch (ZTB) team, focusing on the development of high-performance, low-latency networking and security services. As part of the world’s cloud security leader, you will be at the forefront of shaping the next generation of secure networking by extending our architecture to new features and services. What you’ll do (Role Expectations) * Design and optimize system infrastructure and data paths for high-performance networking and low-latency security applications * Implement and optimize core networking protocols, including NAT, DNS, DHCP, and Policy Enforcement, to ensure enterprise-grade performance * Leverage AI coding assistants and LLMs to optimize code for performance and memory safety while streamlining the development lifecycle through automated testing * Resolve complex system issues by utilizing deep expertise in the Linux kernel, networking features, and file systems * Develop detailed technical specification documents and conduct rigorous unit tests to ensure absolute system quality and reliability Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain * 8+ years of systems engineering experience focused on designing and optimizing infrastructure for high-performance, low-latency applications * Deep technical expertise in core networking protocols including IPsec, BGP, OSPF, and transport layer optimization (TCP/UDP) * Advanced proficiency in Linux internals, systems programming with Python or Golang, and the use of Linux kernel tools * Familiarity with agile methodologies and modern software development lifecycles in a fast-paced environment What Will Make You Stand Out (Preferred Qualifications) * Experience architecting LLM-powered agents or retrieval-augmented generation (RAG) frameworks to automate root-cause analysis for complex kernel and networking anomalies * Hands-on experience with Software Defined Networking (SDN), cloud platforms like AWS/Azure, and containerization tools such as Docker or Kubernetes * Strong communication skills with a track record of aligning technical execution with cross-functional product roadmaps #LI-Hybrid #LI-SU1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Pinterest is looking for a Senior Staff Software Engineer to lead Performance Ads Formats, a team building ad products and experiences that help Pinners turn intent into action and help lower-funnel advertisers drive stronger outcomes. In this role, you’ll be a senior technical leader across a suite of products such as Deal Ads, dynamic ad experiences, post ad click journeys, and more. You’ll partner closely with Product, Design, Data Science, PMM, TPM, and Engineering leaders to turn ambiguous opportunities into scalable, reliable ad products with measurable business impact. What you’ll do: * Lead technical strategy and architecture across Performance Ads Formats, with a focus on growing good clicks, improving click quality, increasing conversions, and enhancing the Pinner experience. * Drive cross-functional product initiatives from discovery through launch and readout, including workstreams such as post-click ad journeys, dynamic ad formats, deal ads, etc. * Design scalable, resilient, and maintainable systems across client, API, backend, and partner surfaces, biasing for impact and balancing speed, quality, privacy / compliance needs, and long-term ownership. * Partner with Product and Data Science to make data-driven prioritization and launch decisions, using experiment results, guardrails, and business impact to decide what to scale, iterate, or stop. * Raise the production quality bar through strong design reviews, code reviews, testing strategy, QA / bug bash processes, observability, incident readiness, and thoughtful tech debt reduction. * Mentor senior engineers and create technical strategy docs, design docs, code, and analysis artifacts that become examples of clarity, simplicity, and quality across multiple teams. * Use pragmatic tools, including AI where useful, to accelerate knowledge discovery, prototyping, documentation, and quality checks while applying strong judgment and verification. What we’re looking for: * Deep technical architecture expertise in high-scale product systems, with the ability to reason from first principles and dig deep into how complex technical systems work under the hood. * A track record of leading technically complex, ambiguous, multi-team initiatives that shipped measurable product or business impact. * Excellent cross-functional collaboration and communication skills, including the ability to align senior stakeholders, make tradeoffs explicit, and influence without authority. * Strong data-driven decision making and prioritization: you can explain why something is the right bet, what evidence supports it, and how you would know whether it worked. * A production-quality mindset for scalable, reliable, maintainable software, including testing, observability, incident response, operational cost, and long-term system health. * Experience mentoring Senior and Staff engineers and raising the technical bar through reviews, architecture guidance, knowledge sharing, and crisp technical writing. * Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. * Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).High integrity and ownership. * you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. * Nice to have: experience in ads, e-commerce, recommendations, experimentation platforms, or practical AI-assisted engineering workflows. * Bachelor’s/Master’s degree in a relevant field such as Computer Science, or 8+ YOE as a Software Engineer. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco or Palo Alto offices. #LI-HYBRID #LI-KBF At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $245,402—$429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.