Join the Team That Solves Real Challenges at Scale

We are looking for a Senior Elastic Engineer / Consultant with 4–6 years of hands-on Elastic experience to deliver customer-facing consulting engagements. This role focuses on solution design, implementation, and troubleshooting across Search and Observability use cases.
This is a consulting role, not product development.

• Deliver Elastic consulting services to enterprise customers
• Design, deploy, and operate Elasticsearch clusters in production environments
• Implement and optimize Search solutions, including:
  Index design, mappings, and analyzers
  Query optimization and relevance tuning
  Alias-based index versioning and zero-downtime rollouts
  
• Work on modern Search use cases, including:
  Semantic search and vector search
  Hybrid search (BM25 + vector)
  Search performance and scalability optimization
• Design and implement Observability solutions using Elastic for logs, metrics, and traces
• Build and manage data ingestion pipelines using Elastic Agent, Beats, Logstash, and Kafka
• Perform Elastic Stack upgrades and migrations (e.g., 7.x → 8.x)
• Implement Cross-Cluster Replication (CCR) and Disaster Recovery strategies
• Troubleshoot complex production issues related to ingestion, search performance, and cluster health
• Collaborate with customers and internal teams to translate requirements into Elastic architectures
• Create and maintain runbooks, documentation, and best-practice guidelines

• 4–6 years of hands-on experience with Elasticsearch / Elastic Stack
• Strong experience designing and operating Elasticsearch clusters in production
• Hands-on experience with Search use cases, including:
  Index design, mappings, and analyzers
  Query DSL, filters, aggregations, and sorting
  Relevance tuning, boosting, and scoring strategies
• Experience with modern search patterns, such as:
  Semantic search and vector search
  Hybrid search (BM25 + vector similarity)
• Solid understanding of Elasticsearch internals (shards, indexing, search performance, scaling)
• Experience working with Elastic Stack components: Kibana, Logstash, Beats, Elastic Agent
• Hands-on experience with data ingestion pipelines, including Kafka-based ingestion
• Experience delivering Observability use cases (logs, metrics, traces) using Elastic
• Familiarity with Elastic security features (TLS, RBAC, API keys)
• Strong troubleshooting skills across search relevance, performance, and ingestion issues
• Ability to explain search and observability concepts clearly in a consulting environment

• Elastic certification (Engineer / Observability)
• Prior customer-facing consulting experience
• Experience with semantic search, vector search, and observability use cases
  
• Exposure to CI/CD pipelines, Git, and Agile delivery models

Link to apply

This is a foundational revenue role at an early-stage company.
Not a junior BDR. Not a “wait for inbound” AE.
You’ll own the top and mid-funnel and help shape how deals move from first conversation to revenue. You’ll work closely with leadership, marketing, and technical teams to build a repeatable growth engine.

• Run outbound and inbound prospecting (LinkedIn, email, events, partnerships)
• Own discovery calls and qualification
• Drive opportunities forward with clear next steps
  
• Build and maintain a clean, accurate pipeline
• Collaborate with technical teams on solution positioning
• Contribute to messaging, ICP definition, and sales process
• Represent the company professionally in meetings and events
• Consistent pipeline creation
• High-quality discovery conversations
• Opportunities that progress and convert
• Accurate forecasting and CRM hygiene
• A sales motion that becomes more repeatable every month

• Want real ownership in an early-stage environment
• Are comfortable working in-person and building team momentum
• Communicate clearly with both technical and non-technical stakeholders
• Prefer responsibility over rigid job boundaries
• Want a clear path to a senior revenue role

• 1–2 years in BDR, AE, or hybrid sales roles (B2B tech preferred)
• Experience running discovery calls end-to-end
• Strong written and verbal communication skills
  
• Organized, disciplined, and execution-focused
• Experience with Attio CRM or similar modern CRMs
• Startup or early-stage experience is a plus

• The base salary for this position is $60,000.
• This position is eligible for company-sponsored benefits, which may include medical, dental, and vision insurance with employer contribution, paid time off, and participation in a 401(k) retirement plan with company match.

• You’re not stepping into a finished sales machine.
• You’re helping build it.
• This is a builder role with fast growth potential for someone who executes well.

Link to apply

We are looking for a Junior Elastic Engineer / Consultant with 3 years of hands-on Elastic experience to deliver customer-facing consulting engagements. This role focuses on solution design, implementation, and troubleshooting across Search and Observability use cases.
This is a consulting role, not product development.

• Deliver Elastic consulting services to enterprise customers
• Design, deploy, and operate Elasticsearch clusters in production environments
• Implement and optimize Search solutions, including:
  Index design, mappings, and analyzersQuery optimization and relevance tuningAlias-based index versioning and zero-downtime rollouts
  
• Work on modern Search use cases, including:
  Semantic search and vector searchHybrid search (BM25 + vector)Search performance and scalability optimization
• Design and implement Observability solutions using Elastic for logs, metrics, and traces
• Build and manage data ingestion pipelines using Elastic Agent, Beats, Logstash, and Kafka
• Perform Elastic Stack upgrades and migrations (e.g., 7.x → 8.x)
• Implement Cross-Cluster Replication (CCR) and Disaster Recovery strategies
• Troubleshoot complex production issues related to ingestion, search performance, and cluster health
• Collaborate with customers and internal teams to translate requirements into Elastic architectures
• Create and maintain runbooks, documentation, and best-practice guidelines

• 3 years of hands-on experience with Elasticsearch / Elastic Stack
• Strong experience designing and operating Elasticsearch clusters in production
• Hands-on experience with Search use cases, including:
  Index design, mappings, and analyzers
  Query DSL, filters, aggregations, and sorting
  Relevance tuning, boosting, and scoring strategies
• Experience with modern search patterns, such as:
  Semantic search and vector search
  Hybrid search (BM25 + vector similarity)
• Solid understanding of Elasticsearch internals (shards, indexing, search performance, scaling)
• Experience working with Elastic Stack components: Kibana, Logstash, Beats, Elastic Agent
• Hands-on experience with data ingestion pipelines, including Kafka-based ingestion
• Experience delivering Observability use cases (logs, metrics, traces) using Elastic
• Familiarity with Elastic security features (TLS, RBAC, API keys)
• Strong troubleshooting skills across search relevance, performance, and ingestion issues
• Ability to explain search and observability concepts clearly in a consulting environment

• Elastic certification (Engineer / Observability)
• Prior customer-facing consulting experience
• Experience with semantic search, vector search, and observability use cases
  
• Exposure to CI/CD pipelines, Git, and Agile delivery models

Link to apply