The Role
Design, build, and maintain scalable Node.js backend services and REST APIs; implement and optimize Elasticsearch (indexing, Query DSL, aggregations, ILM); manage containerized deployments with Docker; support SQL/NoSQL databases; monitor systems with Datadog/Elasticsearch APM; troubleshoot distributed systems; use AI-assisted tools; contribute to architecture, docs, and AWS deployments.
Summary Generated by Built In
Job Title: Senior Engineer – Elasticsearch & Node.js
Key Skills: Elasticsearch, Node.js, JavaScript, TypeScript, Docker, REST APIs, Portainer.io, MongoDB, PostgreSQL, MySQL, Datadog, Elasticsearch APM, AWS, GitHub Copilot, GenAI Development, Observability, Telemetry
Experience: 5-8+ years of experience.
Location: LATAM
Work Modality: Remote.
At Coforge, we are looking for a Senior Engineer – Elasticsearch & Node.js with the following profile.
Main Responsibilities• Design, develop, and maintain scalable backend applications and services using Node.js.
• Build, optimize, and manage Elasticsearch solutions, including indexing strategies, Query DSL, aggregations, and search performance tuning.
• Design and develop robust REST APIs that support enterprise-grade applications and integrations.
• Implement and manage containerized environments using Docker and related technologies.
• Support and maintain SQL and NoSQL databases, ensuring performance, scalability, and reliability.
• Monitor system health, performance, and application telemetry using Datadog, Elasticsearch APM, and observability tools.
• Troubleshoot and resolve complex performance, scalability, and reliability issues across distributed systems.
• Collaborate with cross-functional teams to define technical solutions and deliver high-quality software products.
• Participate in architecture discussions, code reviews, technical design sessions, and best practice initiatives.
• Leverage AI-assisted development tools such as GitHub Copilot and GenAI platforms to improve engineering productivity and code quality.
• Contribute to cloud-based deployments and integrations within AWS environments.
• Maintain technical documentation and ensure adherence to development, security, and operational standards.
Required Qualifications• Build, optimize, and manage Elasticsearch solutions, including indexing strategies, Query DSL, aggregations, and search performance tuning.
• Design and develop robust REST APIs that support enterprise-grade applications and integrations.
• Implement and manage containerized environments using Docker and related technologies.
• Support and maintain SQL and NoSQL databases, ensuring performance, scalability, and reliability.
• Monitor system health, performance, and application telemetry using Datadog, Elasticsearch APM, and observability tools.
• Troubleshoot and resolve complex performance, scalability, and reliability issues across distributed systems.
• Collaborate with cross-functional teams to define technical solutions and deliver high-quality software products.
• Participate in architecture discussions, code reviews, technical design sessions, and best practice initiatives.
• Leverage AI-assisted development tools such as GitHub Copilot and GenAI platforms to improve engineering productivity and code quality.
• Contribute to cloud-based deployments and integrations within AWS environments.
• Maintain technical documentation and ensure adherence to development, security, and operational standards.
• 5-8+ years of professional experience in Software Engineering, Backend Development, or related roles.
• Advanced hands-on experience with Elasticsearch, including Query DSL, Aggregations, Performance Tuning, and Index Lifecycle Management (ILM).
• Strong development experience with Node.js in enterprise or cloud-based environments.
• Solid experience designing, developing, and maintaining REST APIs.
• Hands-on experience with Docker and containerized application environments.
• Experience working with both SQL and NoSQL databases, including MongoDB, PostgreSQL, and MySQL.
• Strong knowledge of observability, monitoring, tracing, and telemetry solutions such as Datadog and Elasticsearch APM.
• Experience working with distributed systems and scalable backend architectures.
• Experience using AI-assisted development tools, including GitHub Copilot or similar GenAI solutions.
• Strong understanding of software development best practices, code quality, testing, and troubleshooting.
• Excellent analytical, problem-solving, and communication skills.
• Advanced English communication skills, both written and verbal.
Preferred Qualifications• Advanced hands-on experience with Elasticsearch, including Query DSL, Aggregations, Performance Tuning, and Index Lifecycle Management (ILM).
• Strong development experience with Node.js in enterprise or cloud-based environments.
• Solid experience designing, developing, and maintaining REST APIs.
• Hands-on experience with Docker and containerized application environments.
• Experience working with both SQL and NoSQL databases, including MongoDB, PostgreSQL, and MySQL.
• Strong knowledge of observability, monitoring, tracing, and telemetry solutions such as Datadog and Elasticsearch APM.
• Experience working with distributed systems and scalable backend architectures.
• Experience using AI-assisted development tools, including GitHub Copilot or similar GenAI solutions.
• Strong understanding of software development best practices, code quality, testing, and troubleshooting.
• Excellent analytical, problem-solving, and communication skills.
• Advanced English communication skills, both written and verbal.
• Experience with Elastic Stack (ELK) implementations and administration.
• Knowledge of Portainer.io for container management and orchestration.
• Experience deploying and supporting solutions in AWS cloud environments.
• Experience with TypeScript and modern JavaScript frameworks.
• Exposure to Prompt Engineering and GenAI-enabled development workflows.
• Experience working in Agile environments and collaborating with globally distributed teams.
• Knowledge of cloud-based data platforms, AI technologies, and modern observability practices.
• Knowledge of Portainer.io for container management and orchestration.
• Experience deploying and supporting solutions in AWS cloud environments.
• Experience with TypeScript and modern JavaScript frameworks.
• Exposure to Prompt Engineering and GenAI-enabled development workflows.
• Experience working in Agile environments and collaborating with globally distributed teams.
• Knowledge of cloud-based data platforms, AI technologies, and modern observability practices.
Published on: 14-08-2026
At Coforge, we hire professionals solely based on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills Required
- 5-8+ years professional experience in Software Engineering or Backend Development
- Advanced hands-on experience with Elasticsearch (Query DSL, Aggregations, Performance Tuning, ILM)
- Strong development experience with Node.js in enterprise or cloud-based environments
- Designing, developing, and maintaining REST APIs
- Hands-on experience with Docker and containerized application environments
- Experience with SQL and NoSQL databases, including MongoDB, PostgreSQL, and MySQL
- Knowledge of observability, monitoring, tracing, and telemetry (Datadog, Elasticsearch APM)
- Experience with distributed systems and scalable backend architectures
- Experience using AI-assisted development tools (GitHub Copilot or similar)
- Strong software development best practices, code quality, testing, and troubleshooting skills
- Advanced English communication skills, written and verbal
- Experience with Elastic Stack (ELK) implementations and administration
- Knowledge of Portainer.io for container management
- Experience deploying and supporting solutions in AWS cloud environments
- Experience with TypeScript and modern JavaScript frameworks
- Exposure to Prompt Engineering and GenAI-enabled development workflows
- Experience working in Agile environments and with globally distributed teams
- Knowledge of cloud-based data platforms, AI technologies, and modern observability practices
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
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The Company
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
