
Gitlab · Bangalore
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency,...
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity,
improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million
registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier,
with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is
where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our
values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with
industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world
develops software.
refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited
are not affiliated with, and do not endorse products or services of GitLab.
As an Engineering Manager, Observability, Monitoring, and Integrations (Monetization), you'll manage a team focused on
observability, reliability, and secure cross-system integrations across GitLab's Monetization area. This is a people-first
management role where you'll hire and develop the team, guide technical direction, and help shape an AI-native approach to
detecting anomalies and improving performance in business-critical workflows.
You'll work closely with product, design, sales, go-to-market, finance, information technology, and support engineering to turn
business needs into reliable customer experiences. In your first year, you'll stand up the team, establish operating rhythms and
incident response practices, and improve the reliability, availability, and data quality of fulfillment systems that directly
affect revenue and the customer experience.
faster issue resolution across purchasing and provisioning flows.
affect reconciliation and financial integrity.
and Workato, with a focus on durable API contracts and reliable financial workflows.
infrastructure operations, and inform delivery planning.
model quality, and developer experience.
coordinate changes in revenue-impacting systems with care and clarity.
financially critical workflows.
grow and deliver meaningful results.
business-critical workflows.
tooling.
operationally rigorous environments.
product, finance, customer service, and go-to-market functions.
audiences.
revenue, with openness to transferable experience from related domains.
The Fulfillment team builds and operates the infrastructure behind GitLab's purchasing workflows, and we partner closely with
sales, finance, information technology, and support to deliver secure, reliable buyer experiences. Within the broader Monetization
section, we focus on the systems and integrations that connect billing, provisioning, subscriptions, and usage across multiple
platforms. We work asynchronously across regions with a strong emphasis on planning, retrospectives, operational ownership, and
safe rollouts. For more on how we work, see the Fulfillment Sub-department Handbook.
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet
every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a
job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to
assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some
roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about
location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices
relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit,
regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender
expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including
family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently
separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis
protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s
EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during
the recruiting process.
We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers via multi-channel technical support, demos, and presentations. You’ll be joining a team and company where you will be challenged, but also will immediately witness your contributions to Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Engage with customers via multiple channels (ticketing system, e-mail, calls, live chat, and screen sharing tools) to identify and resolve technical support requests while continuing to educate our clients on the use of the platform * Reproduce technical issues and dive into Datadog’s 600+ integrations * Participate in product conversations with internal teams based on feedback from client interactions * Train as a highly knowledgeable specialist in one or more Datadog product area(s) * Work from a Datadog office 3 - 5 days per week Who You Are: * ~ 2yrs of experience in multi-channel technical support at a SaaS company or equivalent * A Computer Science / Engineering major and/or Bootcamp graduate * Active contribution to open-source projects (code, bug reports, etc.) and the Engineering Community (Meetups, etc.) * Self-motivated, detail-attentive, and have a desire for continuous learning * A critical thinker who defaults to a client-centric approach * An effective written and verbal communicator * Possessing some programming experience and a basic knowledge of Linux * Able to work a rotating schedule that requires weekend availability * Nice to have: * Understanding of Log management fundamentals * Understanding of Cloud Security Monitoring Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, ability to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE As a Senior Backend Engineer on the GitLab Upgrades team, you’ll help self-managed customers run GitLab reliably by building and maintaining the infrastructure, tooling, and automation behind our deployment options. You’ll work across Omnibus GitLab, GitLab Helm Charts, the GitLab Environment Toolkit (Get), and the GitLab Operator to make GitLab easier to deploy, more secure by default, and scalable across major cloud providers and a wide range of customer environments. In this role, you’ll partner closely with engineering teams and act as a bridge to customer needs, improving installation, upgrade, and day-to-day operations for production-grade GitLab deployments. Some examples of our projects: * Evolving Omnibus GitLab, Helm Charts, GET, and the GitLab Operator to support validated reference architectures for enterprise-scale deployments * Building automation pipelines and observability into deployment tooling to validate, test, and operate GitLab across Kubernetes and other self-managed environments WHAT YOU’LL DO * Maintain and evolve the Omnibus GitLab package to support reliable, production-ready self-managed deployments, improving deployment stability, increasing upgrade success rates, and reducing escalation rates. * Develop and improve GitLab Helm Charts so core components integrate cleanly and scale across supported environments, reducing deployment friction, shortening time to deploy, and improving operational consistency at scale. * Enhance the GitLab Environment Toolkit (Get), validated reference architectures, and the GitLab Operator for secure, Kubernetes-native lifecycle management, improving reliability, strengthening security baselines, and accelerating adoption in customer environments. * Improve installation, upgrade, and operational workflows across deployment methods to create a consistent experience for self-managed customers, reducing operational overhead, lowering failure rates, and increasing consistency across deployment methods. * Partner with Security to address vulnerabilities and deliver secure defaults and configurations in the deployment stack, reducing exposure to vulnerabilities and improving baseline security across self-managed deployments. * Build and maintain automation and continuous integration and continuous delivery pipelines that validate and test Omnibus, Charts, Get, and the Operator, increasing release confidence, improving test coverage, and reducing regressions across deployment tooling. * Work closely with Distribution Engineers, Site Reliability Engineers, Release Managers, and Development teams to integrate new features into deployment methods and keep them reliable, scalable, and aligned with customer needs, improving delivery readiness and reducing operational issues after release. * Guide architectural direction, mentor backend engineers, and contribute to the roadmap for self-managed delivery, improving technical quality, accelerating delivery effectiveness, and strengthening team execution. WHAT YOU’LL BRING * Experience operating backend services in production, including deployment, monitoring, and maintenance in Kubernetes- and Helm-based environments. * Proficiency in Go for building observable and resilient services, with working knowledge of Ruby as a useful addition. * Hands-on practice with infrastructure as code, including tools such as Terraform, and with managing infrastructure across cloud providers such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure. * Knowledge of database design, operations, and troubleshooting, especially for PostgreSQL in secure and scalable setups. * Knowledge of secure, scalable, and reliable deployment practices, including service scaling and rollout strategies. * Familiarity with observability tools and patterns such as Prometheus and Grafana to monitor system health and performance. * Ability to work effectively in large codebases and coordinate across distributed, cross-functional teams using clear written communication. * Openness to transferable experience from related backend or infrastructure roles, along with the ability to write user-focused documentation and implementation guides. ABOUT THE TEAM The Upgrades team is part of GitLab Delivery and focuses on helping self-managed customers run GitLab successfully in their own environments, from smaller deployments to large enterprise footprints. We own deployment and operational tooling across our work on Omnibus GitLab, Helm Charts, Get, and the GitLab Operator, and we work as a globally distributed, all-remote group that works asynchronously with Site Reliability Engineering, Release, Security, and Development teams across regions. We are focused on making self-managed GitLab easier to deploy, upgrade, secure, and operate at scale. For more on how we work, see Team Handbook Page. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: * Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems * Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies * Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources * Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing * Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure * Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform * Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data * Perform other duties as assigned You Have: * Enterprise SaaS software solutions with high availability and scalability * Solution handling large scale structured and unstructured data from varied data sources * Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security * Working with Product engineering team to influence designs with data, AI and analytics use cases in mind * In depth experience in System design involving large Petabytes of data with Databricks Lakehouse * Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context) * AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph * Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration * Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable * Programming languages like Python, SQL, and potentially Java or Scala * Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable * Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting * Solution Cost Optimisations and design to cost * Driving engineering excellence initiatives * Legally eligible to work in India on an ongoing basis Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote