Software Engineer (Mid/Senior) – Data Engineering (AWS)

We are looking for a Software Engineer (Mid/Senior) with a focus on Data Engineering to design, build, and deliver high-impact cloud data solutions for our international clients on Amazon Web Services (AWS).

In this role, you will bridge modern software engineering practices with cutting-edge data engineering and AI enablement. You will partner with client stakeholders and cross-functional teams to solve complex business challenges - architecting scalable pipelines, building robust cloud infrastructure, and integrating machine learning, Generative AI, and LLM solutions into production environments.

What You’ll Do

• Design, implement, and deploy bespoke data engineering solutions and scalable data services tailored to the specific needs and environments of our clients.
• Develop and optimize robust data pipelines.
• Implement cloud-native architectures for clients using AWS services (e.g., EMR, Glue, Kinesis/MSK, Lambda, S3, Redshift) and modern data warehouses/lakehouses (e.g., Redshift, Snowflake).
• Bridge the gap between client data foundations and artificial intelligence by building production-grade data pipelines for ML models, supporting MLOps, and implementing Generative AI / LLM applications to solve practical business problems.
• Establish processes and automated frameworks to monitor data quality, schema evolution, lineage, and security, ensuring client data assets are trusted, compliant, and auditable.
• Apply robust engineering standards to client codebase, including automated unit/integration testing, CI/CD pipelines, containerization, and Infrastructure as Code (IaC).
• Collaborate closely with client stakeholders, project managers, presales engineers, and data teams to translate business requirements into resilient technical designs.
• Provide guidance through architectural reviews, technical documentation, and code reviews, ensuring high delivery quality across client engagements.

What We’re Looking For

• Experience: 3+ years (Mid) or 5+ years (Senior) of hands-on software engineering or data engineering experience, preferably within a consulting, professional services, or project-based delivery environment.
• Strong proficiency in Python and solid backend development experience with Java for distributed data processing.
• Hands-on experience designing, provisioning, and maintaining data workloads on AWS (e.g., S3, Glue, Athena, EMR, Kinesis/MSK, Redshift, Lambda, IAM).
• Strong SQL proficiency and practical experience with data modeling (relational, dimensional, lakehouse architectures).
• Solid grasp of distributed systems concepts, concurrency, fault tolerance, data partitioning, and event-driven patterns.
• Strong analytical problem-solving abilities, self-sufficiency, and clear communication skills to collaborate effectively with both technical and non-technical client teams.

Nice to Have / Bonus Points

• Practical experience or strong interest in Generative AI, LLMs, vector search, or deploying machine learning pipelines in production (MLOps).
• Experience with Infrastructure as Code tools (e.g., Terraform, AWS CDK, CloudFormation).
• Exposure to multi-cloud environments (e.g., GCP in addition to AWS).

Why Join Us?

At Cloud Office, you’ll be part of a collaborative and forward-thinking team where learning, growth, and transparency are at the core of our culture. We empower our people to take ownership, innovate, and make a real impact by helping clients harness the full potential of cloud technology. You’ll have the opportunity to work closely with industry leaders, gain deep expertise in cloud solutions, and advance your career through ongoing training and mentorship.

If you’re passionate about driving digital transformation and shaping the future of cloud adoption, Cloud Office is the place to grow and thrive.