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About worksphere
At worksphere, we are redefining the way businesses harness data in a world that never stops generating information. Our mission is to empower organizations with resilient, high‑performance data platforms that scale effortlessly, whether they’re running mission‑critical applications or exploring new analytics horizons. With a global footprint and a culture that prizes curiosity, collaboration, and continuous improvement, worksphere is the place where data engineers turn complex challenges into elegant, reliable solutions.
Role Overview
We’re looking for a seasoned Customer Data Engineer who thrives in a fast‑paced, 24/7 Linux environment. In this role, you will be the guardian of our customers’ data infrastructure, ensuring that MongoDB, Elasticsearch, and other key database services run flawlessly around the clock. You’ll work closely with cross‑functional teams—DBAs, Site Reliability Engineers, developers, and account managers—to diagnose, resolve, and prevent incidents that impact performance, security, and availability.
Key Responsibilities
- Monitor production environments, respond to alerts, and triage incidents across MongoDB, Elasticsearch, and related services.
- Perform database upgrades, patching, and configuration changes while maintaining strict uptime and data integrity.
- Design, implement, and maintain backup, restore, and replication strategies that meet or exceed SLAs.
- Conduct performance tuning, capacity planning, and root‑cause analysis to pre‑empt bottlenecks.
- Automate routine tasks using shell scripting, Python, and configuration‑management tools such as Ansible.
- Collaborate with SREs and developers to integrate monitoring, logging, and alerting best practices.
- Document procedures, create knowledge‑base articles, and share insights with the broader support community.
- Participate in on‑call rotations, ensuring seamless hand‑offs and rapid incident resolution.
- Contribute to continuous improvement initiatives, including process refinement, tool evaluation, and knowledge sharing.
Essential Qualifications
- Minimum of 2 years’ experience supporting MongoDB or Elasticsearch in a production environment.
- At least 2 years of Linux system administration, with strong proficiency in Debian and CentOS distributions.
- Hands‑on experience with database backup, restore, replication, and disaster‑recovery procedures.
- Solid scripting skills in shell or Python, enabling automation of routine tasks.
- Familiarity with configuration‑management tools (Ansible, Puppet, or Chef) and orchestration concepts.
- Excellent troubleshooting mindset, with the ability to diagnose complex issues quickly and communicate findings clearly.
- Strong written and verbal communication skills, essential for documenting processes and collaborating across teams.
- Self‑motivated, able to work independently within a remote, distributed team while maintaining high accountability.
Preferred Qualifications
- 3+ years of experience with additional database technologies such as PostgreSQL, Redis, or Kafka.
- Exposure to container orchestration platforms (Kubernetes) and big‑data ecosystems (Hadoop, Spark).
- Experience with security hardening, compliance frameworks, and data‑privacy best practices.
- Certifications in MongoDB, Elasticsearch, Linux, or related technologies.
- Previous involvement in incident‑response drills, post‑mortems, and continuous‑improvement cycles.
Technical Skills & Competencies
Success in this role requires a blend of deep technical knowledge and practical problem‑solving abilities:
- Database Expertise: In‑depth understanding of MongoDB and Elasticsearch architecture, query optimization, sharding, and cluster management.
- Linux Proficiency: Mastery of system administration tasks, shell scripting, package management, and kernel tuning.
- Automation & Orchestration: Ability to design idempotent playbooks, manage configuration drift, and integrate CI/CD pipelines.
- Monitoring & Observability: Experience configuring Prometheus, Grafana, ELK stack, or similar tools to surface actionable metrics.
- Security & Compliance: Knowledge of encryption at rest and in transit, role‑based access control, and audit logging.
- Incident Management: Proficiency with ticketing systems, chat platforms, and structured incident documentation.
Soft Skills & Collaboration
Beyond technical prowess, we value:
- Clear, concise communication—both written and verbal—across technical and non‑technical stakeholders.
- Team‑first mindset: willingness to mentor peers, share knowledge, and contribute to a culture of collective ownership.
- Adaptability: thriving in a dynamic environment where priorities shift rapidly and new challenges emerge daily.
- Customer‑centric focus: empathy for end‑users and a drive to deliver reliable, high‑quality service.
Career Growth & Learning Opportunities
At worksphere, your career trajectory is shaped by the projects you take on and the expertise you develop:
- Progression from Customer Data Engineer I to II, then to Lead Engineer or Technical Architect roles.
- Access to internal training programs covering advanced database design, cloud architecture, and emerging data technologies.
- Opportunities to lead cross‑functional initiatives, such as automation roadmaps or security hardening projects.
- Mentorship from senior engineers and architects, fostering a growth mindset and continuous learning.
- Participation in industry conferences, hackathons, and knowledge‑sharing sessions.
Work Environment & Culture at worksphere
We believe that a supportive, inclusive environment fuels innovation. Here’s what you can expect:
- Remote‑first culture with flexible work hours, allowing you to balance personal commitments while meeting operational needs.
- Collaborative teams that value transparency, open dialogue, and mutual respect.
- Regular “Tech Talk” sessions where engineers present new tools, lessons learned, or industry trends.
- Annual hackathons and innovation challenges that encourage experimentation and creativity.
- Commitment to diversity, equity, and inclusion—ensuring every voice is heard and valued.
Compensation, Perks & Benefits
While specific figures vary by location and experience, worksphere offers a competitive total‑reward package that includes:
- Base salary commensurate with market rates for senior data engineering roles.
- Performance‑based bonuses and equity options, aligning your success with the company’s growth.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off, flexible holidays, and a robust parental leave policy.
- Professional development stipend for courses, certifications, or conferences.
- Wellness programs, including virtual fitness classes and mental‑health resources.
- Modern, fully‑equipped home‑office stipends to support a productive remote work setup.
How to Apply
Ready to join a team that values expertise, curiosity, and impact? Submit your resume and a brief cover letter outlining why you’re the ideal fit for the Customer Data Engineer role at worksphere. We’re excited to learn how your skills and experience can help us deliver world‑class data services to our global customer base.
Closing
At worksphere, you’ll be at the forefront of building resilient, high‑performance data platforms that power businesses worldwide. If you’re passionate about database administration, automation, and customer success—and you thrive in a dynamic, 24/7 environment—this is the opportunity for you. Join us, and let’s shape the future of data together.
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