• Manage the on-going daily activities and workflow of a team • Support the software development team in daily activities • Assist in project planning, scheduling, and resource allocation • Monitor and report on project progress • Act as a liaison between the development team and upper management • Provide technical guidance and mentorship to junior developers • Participate in code reviews and quality assurance processes • Collaborate with senior managers to learn best practices in software development

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Diversity drives our vibe. We unite employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries. The Elasticsearch team is in charge of building the core platform that powers search for Elastic’s customers and users for e-commerce, observability, SIEM, and more. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene, evolving the search tier of our Serverless architecture, and building search functionality in our new piped query language, ES|QL. This is an experienced team lead role where you will be working with the team that delivers these search-focused enhancements to the Elasticsearch platform. The goal of this team is to build a high quality, fast, and relevant foundation for search within Elasticsearch. You will participate in roadmap and project planning efforts and will have ownership for delivering it. You’ll be participating in project management efforts as the teams complete plans together with the Tech Lead and Product Manager. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. Engineering philosophy We believe that engineering complex, pluggable software that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission. We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization. At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company. What you will be working on - Manage, mentor and lead a globally distributed team of java engineers working on search functionality within Elasticsearch. - Lead the efficient delivery of search enhancements with regular releases of Elasticsearch, ensuring high quality and innovative feature development. - Work with our product managers to define requirements. - Foster a culture of mutual respect, collaboration and consensus based decision-making. - Stay true to the principles of software development as adopted by our team. - Build roadmaps and lead prioritization; balance the right amount of structure and planning for a fast-paced engineering team. - Identify resource requirements and help drive recruitment of high quality colleagues. - Support the development and training of direct reports through regular 1:1s and career conversations. - Be a great person to work with, somebody who sincerely empathizes with others. What you will bring along - Experience leading distributed teams of software engineers - Ability to work in a distributed team throughout the world. - Strong communication skills, both verbal and written, with the ability to drive conversations across multiple teams to a conclusion. - Previous experience working with collaborators outside of Engineering. - You know and care about writing performant software and have traced and fixed performance issues yourself. - Ability to work in a fast paced environment. - Ability to work independently. Bonus points for - Significant experience as a hands-on software engineer so you understand the core principles of the engineering work that is going on in your team. - Experience working in Lucene or Solr. - Open Source experience. - Prior professional exposure to Elasticsearch. - Hands-on experience with Docker and Kubernetes. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $128,300—$203,000 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Diversity drives our vibe. We unite employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries. The Elasticsearch team is in charge of building the core platform that powers search for Elastic’s customers and users for e-commerce, observability, SIEM, and more. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene, evolving the search tier of our Serverless architecture, and building search functionality in our new piped query language, ES|QL. This is an experienced team lead role where you will be working with the team that delivers these search-focused enhancements to the Elasticsearch platform. The goal of this team is to build a high quality, fast, and relevant foundation for search within Elasticsearch. You will participate in roadmap and project planning efforts and will have ownership for delivering it. You’ll be participating in project management efforts as the teams complete plans together with the Tech Lead and Product Manager. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. Engineering philosophy We believe that engineering complex, pluggable software that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission. We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization. At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company. What you will be working on - Manage, mentor and lead a globally distributed team of java engineers working on search functionality within Elasticsearch. - Lead the efficient delivery of search enhancements with regular releases of Elasticsearch, ensuring high quality and innovative feature development. - Work with our product managers to define requirements. - Foster a culture of mutual respect, collaboration and consensus based decision-making. - Stay true to the principles of software development as adopted by our team. - Build roadmaps and lead prioritization; balance the right amount of structure and planning for a fast-paced engineering team. - Identify resource requirements and help drive recruitment of high quality colleagues. - Support the development and training of direct reports through regular 1:1s and career conversations. - Be a great person to work with, somebody who sincerely empathizes with others. What you will bring along - Experience leading distributed teams of software engineers - Ability to work in a distributed team throughout the world. - Strong communication skills, both verbal and written, with the ability to drive conversations across multiple teams to a conclusion. - Previous experience working with collaborators outside of Engineering. - You know and care about writing performant software and have traced and fixed performance issues yourself. - Ability to work in a fast paced environment. - Ability to work independently. Bonus points for - Significant experience as a hands-on software engineer so you understand the core principles of the engineering work that is going on in your team. - Experience working in Lucene or Solr. - Open Source experience. - Prior professional exposure to Elasticsearch. - Hands-on experience with Docker and Kubernetes. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100—$210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world. Job Description The Data Reliability Engineering Manager is responsible for leading a team focused on designing, building, and evolving cloud-native, containerized infrastructure that powers our data products and services. This role plays a critical part in advancing our platform maturity by enabling cross-functional squads, driving complex technical initiatives, and ensuring the availability, security, scalability, and reliability of our data ecosystem. As a Manager, you will bring strong leadership capabilities along with deep expertise in systems design, cloud infrastructure, networks, databases, and modern data technologies. You will be responsible for guiding and developing engineering talent, setting priorities, driving execution, and partnering across teams to deliver resilient, scalable, and secure platform solutions. You will also help lead the adoption of new technologies, infrastructure automation practices, and operational excellence across high-scale distributed systems. In this role, you will balance technical leadership, people management, and cross-functional collaboration. You will work closely with engineering, product, and platform stakeholders to align team objectives with business priorities, remove delivery obstacles, and foster a culture of reliability, accountability, and continuous improvement This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience 3+ years of experience managing teams focused in infrastructure engineering, site reliability engineering, platform engineering, data engineering, or a related technical discipline Proven experience designing, building, and operating cloud-native, containerized infrastructure that supports data products and services Strong expertise in AWS or Azure cloud services, including compute, networking, storage, identity and access management, and security Experience with container orchestration platforms, such as Kubernetes, preferably in Azure or AWS Kubernetes Service or similar environments Strong knowledge of systems design, distributed systems, networking, databases, and modern data platform technologies Experience implementing and managing infrastructure as code, automation, and configuration management practices Demonstrated ability to lead complex technical initiatives focused on availability, scalability, reliability, security, and operational excellence Experience partnering with cross-functional teams, including engineering, platform, security, and product stakeholders Strong verbal and written communication skills, with the ability to influence technical direction and align teams around shared priorities Proven ability to work effectively in a remote environment and manage competing priorities across distributed teams Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. - Job Family Group: Engineering and Technology