Senior / Principal Search Engineer

๐Ÿ“ Locations: RemoteExpired

๐Ÿ‘จโ€๐Ÿ’ผ Roles: Senior / Principal Search Engineer

๐Ÿ‘จโ€๐Ÿ’ผ Experiences: Experienced Required

๐Ÿข Companies: Macrosoft Pakistan

๐Ÿ—“ Posted: 2025-12-02

โณ Expires: 2025-12-16

Please read the entire Job Ad before applying.

#hiringAlert | Remote | Senior / Principal Search Engineer


Macrosoft Pakistan is looking for a seasoned Search Engineer to architect, build, and optimize large-scale search and content-discovery systems using Elasticsearch, OpenSearch, or similar platforms. This role drives the backbone of high-throughput, mission-critical applications and influences technical direction across teams.


๐—–๐—ผ๐—ฟ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€

โ€ข Architect, deploy, and operate search clusters in cloud or hybrid environments (AWS preferred)

โ€ข Design index strategies, mappings, sharding models, ingestion pipelines, and query tuning

โ€ข Automate infrastructure operations: CI/CD, monitoring, logging, alerting, scaling, IaC

โ€ข Ensure HA, DR, performance tuning, and cost-efficient scaling of search platforms

โ€ข Partner with Engineering, Data, Product, and SRE teams to deliver search-powered features

โ€ข Lead architectural decisions, mentor engineers, and establish search best practices


๐—ฅ๐—ฒ๐—พ๐˜‚๐—ถ๐—ฟ๐—ฒ๐—ฑ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ฒ

โ€ข 4+ years building and operating search infrastructure (Elasticsearch/OpenSearch)

โ€ข Deep understanding of search engine internals: indexing, scoring, DSL, caching, distributed systems

โ€ข Strong experience with AWS, Docker, Kubernetes (EKS), and Infrastructure as Code

โ€ข Proficiency in scripting/programming (Python, Shell, Node.js, etc.)

โ€ข Hands-on with observability/monitoring tools (Datadog, Splunk, OpenTelemetry)

โ€ข Strong fundamentals in algorithms, data structures, resilience, and scalability

โ€ข Proven ability to lead technical direction and cross-team initiatives


๐—œ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜ ๐—”๐—ฟ๐—ฒ๐—ฎ๐˜€

โ€ข Lower search latency, higher throughput, improved relevance metrics

โ€ข Faster indexing and fresher data pipelines

โ€ข Stable, highly available clusters with reduced operational overhead through automation

โ€ข Cost-efficient resource usage and smarter scaling strategies

โ€ข Broader adoption of the search platform across teams and products.


Interested related candidate share their resume at shahmin@innovatixinc.com


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