Security Integrations - Senior Golang Engineer jobs at Elastic

You’ll bring deep hands-on expertise in designing, deploying, and optimizing search platforms—ranging from traditional Elasticsearch-based Enterprise Search to modern semantic and vector search architectures (e.g., embeddings, RAG, hybrid search systems). You should be comfortable operating in cloud-native environments (AWS/Azure/GCP), implementing robust indexing pipelines, tuning search relevance, and scaling for performance and cost-efficiency.

• Architect and implement advanced Enterprise Search , Vector Search , and Semantic/RAG systems for large-scale deployments.
• Develop and implement Technical Success Plans tailored to each customer, covering indexing pipelines, query relevance (e.g., recall@k, latency), vector similarity performance, and adoption metrics.
• Lead the full customer lifecycle: onboarding, proof-of-concept (POC), rollout, adoption, escalation, and expansion.
• Design RAG and semantic search workflows using embedding models (LLM, ELSER, Hugging Face, LangChain, etc.).
• Optimize search relevance and performance: tuning indices, scaling clusters, running vectors, and conducting A/B tests.
• Partner with Sales, Pre‑Sales, Services, and Support to align technical strategy and customer satisfaction.
• Monitor usage, diagnose adoption gaps, and proactively propose expansions and upsells aligned with ARR goals.

• 8–12+ years building and operating enterprise search systems , including vector and semantic search.
• Strong experience with Elastic or similar platforms: Elasticsearch, Pinecone, Qdrant, Milvus, Weaviate.
• Authority in embedding‑based retrieval, LLM integration, RAG pipelines, and vector database architecture.
• Consistent track record of designing scalable, performant search infrastructure on cloud platforms (AWS/Azure/GCP).
• Excellent communicator able to present technical designs and business impact to both technical and executive audiences.
• Data-driven mentality: adept at measuring search performance (e.g., latency, throughput, recall) and acting on insights.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Previous roles in Solution Architecture, Pre‑Sales Engineering, or Customer Success focused on search/AI applications.

• Hands-on experience with RAG systems , chat/search applications, and open-source contributions.
• Understanding of vector database internals: ANN algorithms, indexing strategies, recall/precision evaluation.
• Familiarity with embedding model tuning and search relevance optimization frameworks.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE 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 range may be modified in the future.

An employee's position within the OTE 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.

The typical starting salary range for this role is:

$107,500—$170,100 USD

The typical starting Target Variable range for this role is:

$46,000—$72,800 USD

The typical starting On-Target Earnings (OTE) range for this role is:

$153,500—$242,900 USD

We're seeking a visionary

• Lead the strategic vision for Elastic's Entity Analytics, ensuring alignment with market trends and customer needs.
• Define and prioritize innovative product features based on customer requirements through collaboration with cross-functional teams.
• Drive product differentiation by conducting thorough market analysis and customer interviews to identify key opportunities.
• Develop comprehensive product requirements and user stories to guide development.
• Build and maintain a balanced product roadmap that integrates innovation with timely customer delivery.
• Collaborate with marketing and sales teams to develop effective go-to-market strategies.
• Engage customers and industry analysts to gather valuable insights and validate product concepts.
• Serve as a subject matter authority and product evangelist through compelling presentations and thought leadership initiatives.

• 8+ years of PM experience, with 5+ years in Cybersecurity.
• 3+ years specifically in SIEM, UEBA, or security analytics products.
• A track record of bringing complex B2B security products to market.
• Experience leading products with AI/ML components and natural language interfaces.
• Experience with enterprise sales cycles, proof-of-concepts, and technical evaluations.
• Understanding of enterprise deployment, configuration, and customization requirements.
• Knowledge of scalability, performance, and reliability considerations for critical systems.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD

• Contribute to developing ML solutions for Endpoint Security.
• Perform data analysis on our sources to identify new solutions and improvements.
• Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models.
• Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence.
• Determine how to improve models over time by leveraging implicit and explicit feedback.

• Experience building Security solutions (Endpoint, Network, UEBA, etc.).
• Experience with threat hunting and malware analysis.
• Proficiency in Python programming skills.
• Experience with writing and running tests (unit tests, integration tests, regression tests).
• Experience with performing data analysis as required to support data quality decisions.
• Ability to both give and receive helpful code reviews.
• Be comfortable working in a fully-remote environment.
• Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences.
• Willingness to learn new things and ask for help.

• Experience designing, training, and evaluating models using popular ML frameworks.
• Experience with AWS or GCP.
• Experience with Kubernetes.
• Experience with Buildkite or other CICD tooling

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$133,100—$210,600 USD

$159,900—$252,900 USD

In this role, you'll become the evangelist for Elastic Observability's technical capabilities. You'll set up the infrastructure for product demos, build hands-on workshops, create compelling videos, write insightful blogs, and share your expertise through webinars, ElasticON presentations, and industry conferences. Your work will directly influence how we engage with our community and prospects.

• Maintain and improve demo environments to effectively showcase compelling use cases as new product features are released.
• Develop impactful demos and demo scripts that showcase use cases and workflows that empower the field to deliver differentiated demos and successful POCs.
• Streamline automation and processes to ensure demo maintenance is efficient, reliable, and scalable.
• Provide timely training and update content to enable the field team with the latest product capabilities.
• Develop technical pitch presentations to enable and activate solution architects and other technical resource
• Author technical blogs that highlight Elastic’s technology and platform, driving thought leadership and engagement.
• Deliver technical enablement sessions, including demo recordings and webinars, to educate and encourage.
• Influence the product roadmap by providing market and customer insights that shape priorities.
• Measure and track demo usage and adoption to continuously improve efficiency and impact.
• Represent Elastic at industry events, showcasing our products and engaging with the community.
• Assist in technical benchmarking for competitive intelligence content and evaluation

• Extensive experience in observability, developer tools, or cloud-related domains, with a strong ability to engage technical audiences such as SOC analyst, Threat analyst, Security engineer, Security architect
• Shown ability to build compelling content across various formats, including blog posts, presentations, and videos, that resonates with both technical and non-technical audiences.
• Broad software development expertise, particularly in Python, Go, and shell scripting, with a focus on automating demo environments and workflows.
• Hands-on experience with technologies like Kubernetes, Docker, and Terraform, enabling you to craft and deliver robust demos and proof of concepts.
• Strong familiarity with deploying and operating workloads in cloud environments, specifically within AWS, Google Cloud, or Azure.
• Excellent communication skills, with the ability to clearly explain sophisticated technical concepts to non-experts through blogs, videos, customer discussions, and webinars.
• Comfortable growing in a multi-functional role, collaborating successfully with a highly distributed and diverse team.

• Practitioner-level knowledge and experience in the observability or monitoring domain.
• Previous experience as a Technical Marketing Engineer or Pre-Sales Engineer, particularly with cloud technologies.
• Hands-on experience implementing one or more of Elastic’s solutions in real-world customer environments.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$135,700—$214,700 USD

$163,100—$258,100 USD

• Lead Complex Public Sector Deals: You will own the legal aspects of our public sector deal cycle. This includes drafting and negotiating a wide variety of agreements like SaaS/PaaS/IaaS licenses, professional services contracts, subcontracts and teaming agreements, and Other Transaction Authority (OTA) agreements.
• Provide Strategic Counsel on Government Contracting: Serve as the primary legal advisor on US Federal, State, and Local government matters. You'll provide expert guidance on the Federal Acquisition Regulation (FAR), agency supplements, and other regulations, advising on everything from proposal strategy to compliance processes.
• Navigate Security Requirements: Provide legal support and guidance on matters related to operating a FOCI-mitigated subsidiary. You will also help guide efforts related to maintaining a facility clearance (FCL) and navigating intricate accreditation processes like FedRAMP, CMMC, and DoD SRG.
• Drive Process Simplification and Sales Enablement: Be a champion for simplifying how we work. Proactively develop, enhance, and drive the adoption of contract templates, playbooks, and workflows to reduce complexity and accelerate deal velocity.
• Foster Strong Partnerships: Build deep trust and collaborate effectively with key partners across the Legal department, Sales, Finance, Deal Desk, and other GTM functions. We need a partner who can bring others with them, drive positive change, and achieve shared goals in an open and inclusive culture.

Deep expertise in public sector technology transactions, including:

• Significant experience negotiating complex technology and professional service contracts with government entities through channel partners and as a subcontractor (experience with direct government sales is also a strong plus);
• A strong, practical understanding of government procurement regulations and related compliance obligations; and
• Experience providing legal and compliance support for entities with an FCL and operating under FOCI mitigation.

A current U.S. Government Top Secret (TS-SCI) security clearance, and familiarity with FedRAMP, CMMC, DoD SRG, and other accreditation processes is also highly desirable.

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$153,800—$243,300 USD

$184,600—$292,000 USD

• Lead initiatives within to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading and owning cross-functional initiatives

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

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.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD