Join Elastic as a Senior Software Engineer to enhance developer experience in building and maintaining Security Integrations.
Posted by employer 9 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- Lead green-field initiatives for developer experience
- Architect tooling and automation strategy
- Foster open communication and mutual respect
- Mentor engineers
- Collaborate with Security and Ingest teams
Must have
- Strong proficiency in Python and Go
- Hands-on Terraform experience
- Experience building and running evals for AI systems
Nice to have
- Production experience with Elastic ingest model
- Experience in cybersecurity
- Exposure to OpenTelemetry, ECS, or OCSF
AI in the day-to-day
Leverage Gen AI to solve problems at scale rather than one-off fixes.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Software Engineer focuses on enhancing the developer experience by creating tools that streamline the integration process and data management. Key skills include proficiency in Python and Go, along with experience in Terraform and BigQuery for infrastructure and telemetry. This position is ideal for someone with a strong background in software engineering, particularly those comfortable with ambiguity and independent project management. The Integrations Platform team emphasizes collaboration and open communication, making it a supportive environment for innovation.
Joblaze insights
- Listed today — first seen on Joblaze October 8, 2026. Last confirmed on Elastic's careers page October 8, 2026.
- This exact title is also open at 2 other locations at Elastic: United States, Canada.
- Starts at or below all 13 comparable senior backend roles in Spain we track (median $75,391 across 3 companies).
Quick facts
- What's the salary range?
- Elastic lists €67,000–€106,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, Go, Python, Terraform.
- What seniority level is this role?
- Elastic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Security Integrations - Prompt Engineering role at Elastic.
From the original posting
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.
What is The Role
We are looking for a Senior Software Engineer to join the Integrations Platform team and build the tools that make engineers' lives easier, both when they're building integrations and when they're pulling data together to actually make sense of it. This role is about developer experience: understanding what developers actually struggle with day to day, and building tools that remove that friction so they can move faster and get more done.
The Integrations Platform team owns the tooling that supports how integrations get built, deployed, and understood. That includes infrastructure and deployment tooling built on Terraform, telemetry pipelines running through BigQuery, and the AI-driven tools and evaluations we use to interpret that data and turn it into something people can actually act on. You'll build and maintain these tools, listen closely to the engineers who rely on them, and take ownership of projects that span infrastructure, telemetry, and AI-assisted data interpretation, from first idea to shipped result.
This is fast-moving, often ambiguous work. We are looking for someone who is comfortable operating without a fixed spec, listens thoughtfully, and collaborates well across teams. You should drive effectively toward outcomes while supporting your teammates, bring clear ideas on what should be built, care about the developers using your tools, and feel equally comfortable working independently or alongside product teams and partners.
Prior experience with the Elastic product suite isn't required, but it helps.
What you will be doing:
- Lead green-field initiatives that shape the future of the developer experience for building and maintaining Security Integrations
- Architect and drive the tooling and automation strategy, leveraging Gen AI to solve problems at scale rather than one-off fixes
- Set a collaborative tone for the team by fostering open communication, mutual respect, and thoughtful decision-making, while mentoring engineers along the way
- Represent the team in the open, working closely with Security and Ingest teams, Elastic users, and the broader open source community to shape direction and build trust
What you bring:
- Experience building and running evals for AI systems at scale, with a strong sense of measuring output quality and catching regressions
- Strong proficiency in Python and Go, with hands-on Terraform for infrastructure and deployment, and BigQuery for telemetry and data analysis
- Proven ability to run projects end to end with autonomy, alongside the judgment to bring others along and seek input when needed
Bonus Points:
- Production experience with the general Elastic ingest model
- Experience in cybersecurity
- Experience parsing logs and events, ideally with exposure to OpenTelemetry, ECS, or OCSF in a security or observability context
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
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