Full Stack Engineer
- Location
- United States · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- Yesterday
Skills & highlights for this role
- Elastic Stack (ELK)
- Elasticsearch
- Kibana
- Logstash
Also useful
- Elastic APM
- Painless scripting
- Kafka
- Amazon OpenSearch Service
- Elastic Security
- Terraform
- Grafana
- Datadog
About the role
Project Role: Full Stack Engineer
Project Role Description
Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Good to have skills: NA
Minimum 3 year(s) of experience is required
Educational Qualification
15 years full time education
Summary
As an Elastic Stack Engineer, a typical day involves designing, implementing, and supporting enterprise search, log analytics, and observability solutions using Elasticsearch, Kibana, and Logstash. The role focuses on data ingestion, search optimization, dashboard development, monitoring, alerting, and production support within cloud-native environments.
Roles & Responsibilities
- Perform independently as a Subject Matter Expert (SME) in Elasticsearch, Kibana, and Logstash.
- Design and manage Elasticsearch indices, mappings, shard strategies, and Index Lifecycle Management (ILM) policies.
- Build and optimize Elasticsearch Query DSL searches, aggregations, and search performance.
- Develop and maintain Logstash pipelines for data ingestion, transformation, enrichment, and routing.
- Integrate data sources using Elastic Agent, File beat, Metric beat, Fluent, Syslog, Kafka, and application log streams.
- Implement event enrichment using tagging, correlation identifiers, and geolocation data.
- Develop Kibana dashboards, visualizations, reports, and alerting solutions for operational and business users.
- Configure role-based access control (RBAC), spaces, security policies, and user permissions.
- Deploy and manage Elastic Stack components using Docker, Kubernetes, Elastic Cloud on Kubernetes (ECK), and Helm.
- Configure platform security, including TLS, authentication, Single Sign-On (SSO), and API keys.
- Monitor cluster health, storage utilization, ingestion performance, and search efficiency.
- Troubleshoot indexing issues, ingestion failures, dashboard problems, and platform incidents.
- Support upgrades, deployment validation, rollback procedures, and release management activities.
- Perform root cause analysis and maintain technical documentation.
- Participate in production support and on-call activities.
- Professional & Technical Skills
Must-Have Skills
- Elasticsearch, Kibana, and Logstash (Primary Skills).
- Strong experience with Elasticsearch mappings, analyzers, Query DSL, aggregations, shard sizing, replica management, and ILM.
- Hands-on experience developing Logstash pipelines, including Grok, Dissect, filtering, and data transformation.
- Experience building Kibana dashboards, visualizations, reports, and alerts.
- Experience with File beat, Metric beat, Elastic Agent, Fluent, or Fluent Bit.
- Experience deploying and operating Elastic Stack on Docker and Kubernetes platforms.
- Strong knowledge of JSON, regular expressions, structured logging, and data ingestion concepts.
- Scripting experience using Bash or Python.
- Experience with Git, CI/CD pipelines, and configuration management.
- Ability to diagnose cluster performance, ingestion bottlenecks, search latency, and node health issues.
- Experience supporting production environments and incident resolution.
Good-To-Have Skills
- Experience in OTT, Streaming, Broadcast, or Digital Media platforms.
- Experience with Elastic APM and distributed tracing.
- Knowledge of Painless scripting, ingest pipelines, and runtime fields.
- Experience with Kafka-based event ingestion.
- Experience with Cross-Cluster Search (CCS), Cross-Cluster Replication (CCR), Snapshot and Restore, and disaster recovery strategies.
- Experience with Amazon OpenSearch Service.
- Knowledge of Elastic Security, SIEM, and threat monitoring solutions.
- Experience with Terraform, AWS Cloud Development Kit (AWS CDK), or AWS CloudFormation.
- Experience with Grafana, Datadog, Open Telemetry, and observability platforms.
- Familiarity with ServiceNow, Jira Service Management, and IT Service Management (ITSM) processes.
Additional Information
Minimum 3 years of relevant experience in Elastic Stack engineering.
Total experience requirement
- 5 years (3+2 model).
- Elasticsearch, Kibana, and Logstash are mandatory skills.
- Experience in observability, monitoring, and log analytics environments is preferred.
- Participation in production support and on-call activities may be required.
- 15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Equal opportunity and legal notices
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
From Core Compete's careers page, first listed on Rolev.ai on November 14, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Full Stack Engineer role at Core Compete, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
Where is the Full Stack Engineer job at Core Compete located?
This Full Stack Engineer position at Core Compete is located in United States (On-site). Always check Core Compete's application page for specific state eligibility or relocation policies.
What qualifications are required for Full Stack Engineer at Core Compete?
For the Full Stack Engineer role, Core Compete highlights 3+ years of relevant experience; a bachelor's degree; experience with Elastic Stack (ELK), Elasticsearch, Kibana, Logstash. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Full Stack Engineer position at Core Compete?
This listing links directly to Core Compete's Workday application page. You can apply directly on Core Compete's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.