Software Engineer, Elastic
Observability - Ingest - Go / OTel / Profiling
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Professional experience with Go at scale
- Experience with Open Source (preferably OpenTelemetry)
- System-level knowledge of Linux
- Familiarity with Kubernetes
- Interest, flexibility, and willingness in learning new technologies
- Passion for technical challenges
- Strong analytical, problem-solving, and debugging skills
- Communication skills (verbal and written, e.g., for meetings, blog posts, or presentations)
Desirable
- Knowledge / touch points with application profiling in general (buzzwords: eBPF, perf, on-CPU, off-CPU profiling, stacktraces)
- Testing and benchmarking
- Knowledge in assembler, ideally arm64 or amd64
- Docker, bash, python, Java, JS / Typescript
- Data visualization
What the job involves
- The Observability Ingest team at Elastic builds tools and services to collect and ingest data easily, efficiently, and quickly into Elastic
- The Observability Ingest team is seeking a Software Engineer (Go) to help drive our ingestion features and OpenTelemetry (OTel) contributions and activities around application profiling and infrastructure monitoring topics
- Authoring code on a fully distributed team of engineers and as part of the OpenTelemetry community, supporting the Observability Ingest team’s mission, specifically around the OTel Collector and the eBPF-based profiling components in OpenTelemetry
- Participate in technical architecture discussions and cross-team efforts
- Represent Elastic in the OTel community, influencing the community towards a shared vendor-neutral vision that benefits Elastic and our users
- Review pull requests, read and write design documents, develop automated testing strategies and manual test plans, and participate in team and product discussions
- Actively participate in and contribute to selected OpenTelemetry Special Interest Groups (SIGs)
- Collaborate with product management, design, and other teams within Elastic to ship compelling features for the infrastructure monitoring and profiling domain
- Foster a culture of mutual respect and collaborative decision-making
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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