careers

 

Smart Tech Careers

Join Our Team

Experts Wanted in Cutting-Edge Fields


We\’re Hiring Experts in These Fields:

DevOps
MLOps
Data Engineering
CyberSecurity
AI Engineering


Job Requirements & Responsibilities

DevOps: Streamline development and deployment processes. Expertise in cloud services, CI/CD pipelines, and infrastructure management is essential.

Job Title: DevOps Engineer

Location: Remote / Work From Anywhere
Job Type: Full-Time


Job Description

We are seeking a highly skilled and motivated DevOps Engineer to join our team. In this role, you will streamline the development, deployment, and operations processes to enhance the efficiency and reliability of our software systems. You will work closely with developers, system administrators, and other teams to ensure seamless collaboration and optimal performance of our infrastructure.


Key Responsibilities

    • Infrastructure Management:
        • Design, implement, and maintain scalable, secure, and highly available infrastructure on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

        • Automate server provisioning and configuration using tools like Terraform, Ansible, or CloudFormation.

    • CI/CD Pipelines:
        • Build and maintain robust Continuous Integration and Continuous Delivery (CI/CD) pipelines using tools like Jenkins, GitHub Actions, CircleCI, or GitLab CI/CD.

        • Ensure efficient and error-free deployment processes to development, staging, and production environments.

    • Monitoring and Troubleshooting:
        • Implement proactive monitoring solutions using tools such as Prometheus, Grafana, New Relic, or Datadog.

        • Diagnose and resolve system performance issues, outages, and bottlenecks promptly.

    • Collaboration:
        • Work closely with development teams to integrate DevOps practices into the software development lifecycle (SDLC).

        • Foster a culture of automation and continuous improvement within the organization.

    • Security and Compliance:
        • Ensure systems are compliant with industry security standards (e.g., SOC2, ISO 27001).

        • Implement security best practices, including access control, encryption, and vulnerability management.


Qualifications

    • Education:
        • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

    • Technical Skills:
        • Proficiency in scripting languages like Python, Bash, or PowerShell.

        • Hands-on experience with containerization technologies such as Docker and Kubernetes.

        • Deep knowledge of version control systems like Git.

    • Experience:
        • 3+ years of experience in a DevOps or related engineering role.

        • Proven experience with cloud platforms (AWS, Azure, or GCP).

    • Soft Skills:
        • Strong problem-solving skills and attention to detail.

        • Excellent communication and collaboration abilities.


What We Offer

    • Competitive salary and performance-based bonuses.

    • Remote-friendly work environment with flexible hours.

    • Opportunities for professional development and certification reimbursement.

    • Access to cutting-edge technologies and exciting projects.

MLOps: Manage and scale machine learning models in production environments with automation and optimization.

Job Title: MLOps Engineer

Location: Remote / Work From Anywhere
Job Type: Full-Time


Job Description

We are looking for a skilled MLOps Engineer to streamline the deployment and management of machine learning models in production. You will focus on creating robust workflows, automating processes, and ensuring model scalability, reliability, and optimization.


Key Responsibilities

    • Design and implement scalable MLOps pipelines for seamless deployment of machine learning models.

    • Automate the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.

    • Monitor, troubleshoot, and optimize the performance of machine learning models in production.

    • Collaborate with data scientists and software engineers to integrate ML workflows into existing systems.

    • Implement CI/CD for machine learning projects using tools like MLflow, Kubeflow, or TensorFlow Extended (TFX).

    • Manage cloud-based ML infrastructure (AWS SageMaker, GCP Vertex AI, or Azure Machine Learning).


Qualifications

Technical Skills:

Proficiency in Python and machine learning libraries (TensorFlow, PyTorch, or Scikit-learn).

Experience with Kubernetes, Docker, and cloud platforms.

Strong understanding of MLOps tools like MLflow, DVC, or Airflow.

Experience:

2+ years of experience in MLOps or related roles.

Knowledge of version control, data pipelines, and monitoring tools.

Data Engineering: Build scalable data architectures, pipelines, and ETL processes for seamless operations.

Job Title: Data Engineer

Location: Remote / Work From Anywhere
Job Type: Full-Time


Job Description

We are hiring a Data Engineer to design and manage scalable data architectures, pipelines, and ETL processes. You will enable the seamless flow of data across systems to support analytics and machine learning initiatives.


Key Responsibilities

    • Build and maintain data pipelines and ETL processes for structured and unstructured data.

    • Design scalable data architectures on cloud platforms like AWS, Azure, or GCP.

    • Collaborate with stakeholders to understand data needs and implement efficient solutions.

    • Optimize database performance and ensure data integrity.

    • Monitor and troubleshoot data pipelines to resolve issues promptly.


Qualifications

Familiarity with ETL tools such as Airflow or Talend.

Technical Skills:

Expertise in SQL, NoSQL databases, and data warehousing (e.g., Snowflake, Redshift).

Experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop).

Proficiency in Python or Scala for data processing.

Experience:

3+ years of experience in data engineering or related fields.

Cybersecurity: Protect systems and data from cyber threats with robust strategies and risk management expertise.

Job Title: Cybersecurity Specialist

Location: Remote / Work From Anywhere
Job Type: Full-Time


Job Description

We are seeking a detail-oriented Cybersecurity Specialist to safeguard our systems and data from potential threats. You will design and implement strategies to mitigate risks, respond to incidents, and maintain compliance with security regulations.


Key Responsibilities

    • Develop and enforce security policies, procedures, and standards.

    • Identify vulnerabilities through regular penetration testing and audits.

    • Protect systems and networks using firewalls, IDS/IPS, and endpoint protection solutions.

    • Investigate security breaches and implement measures to prevent recurrence.

    • Stay updated on emerging cybersecurity threats and implement necessary defenses.

    • Ensure compliance with industry standards such as ISO 27001, GDPR, or NIST.


Qualifications

Certifications such as CISSP, CEH, or CompTIA Security+.

Technical Skills:

Proficiency in SIEM tools like Splunk, QRadar, or LogRhythm.

Expertise in penetration testing tools (e.g., Metasploit, Burp Suite).

Knowledge of network protocols and cryptography.

Experience:

3+ years in cybersecurity roles.

 

AI Engineering: Design and deploy AI-driven solutions leveraging advanced machine learning frameworks.

Job Title: AI Engineer


Location: Remote / Work From Anywhere
Job Type: Full-Time




Job Description


We are seeking a AI Engineer to design and deploy cutting-edge AI-driven solutions that solve complex problems. You will work on building intelligent systems leveraging machine learning, deep learning, and natural language processing (NLP) frameworks.




Key Responsibilities


    • Develop, train, and deploy machine learning and AI models.


    • Design intelligent systems for applications such as recommendation engines, NLP, and computer vision.


    • Implement scalable AI pipelines and optimize them for performance.


    • Research and apply state-of-the-art AI technologies to solve real-world problems.


    • Collaborate with cross-functional teams to deliver innovative AI solutions.




Qualifications


Experience with deploying AI solutions in production.


Technical Skills:


Expertise in machine learning frameworks like TensorFlow, PyTorch, or Keras.


Strong programming skills in Python, R, or Java.


Familiarity with AI algorithms, NLP, and computer vision techniques.


Experience:


3+ years in AI engineering roles.


Work From Anywhere

We embrace flexibility and offer remote work opportunities that ensure a great work-life balance.

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How to Apply

Send your resume, certifications, and cover letter to: jobs@smarttechks.com


Why Work at Smart Tech?

  • Career Growth: We value your professional development and offer continuous learning opportunities.
  • Innovative Projects: Collaborate on exciting and cutting-edge projects that challenge and inspire.
  • Inclusive Environment: Join a diverse and inclusive team that thrives on creativity and collaboration.


Stay Connected

Follow us on LinkedIn to learn more about our team and culture.

 
 

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