Software Engineer I, Data Platform in United States Embassy at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer I, Data Platform based in the United States.

This role offers the opportunity to contribute to the development of scalable, reliable, and secure data infrastructure powering modern AI-driven applications.
The position sits within a high-impact engineering environment focused on building platforms that enable teams to manage and leverage large-scale datasets efficiently.
The successful candidate will work on distributed systems, data processing technologies, and developer tools that improve reliability and productivity.
Working alongside experienced engineers, this role provides strong opportunities to grow technical expertise and take ownership of meaningful projects.
The position combines software engineering fundamentals with emerging technologies to solve complex infrastructure challenges.
This is an ideal opportunity for an early-career engineer eager to build impactful systems in a collaborative and fast-paced environment.

The Software Engineer I, Data Platform will contribute to the design, development, and operation of core data infrastructure systems. The role will collaborate with engineering teams to build scalable solutions, improve platform reliability, and create tools that enable efficient data usage across the organization.

• Contribute to the development and maintenance of core components within a scalable data platform.
• Build software tools and services that simplify the adoption and operation of data infrastructure.
• Help automate infrastructure processes to improve system reliability, performance, and scalability.
• Support the development of solutions using modern data technologies, distributed systems, and AI-powered engineering tools.
• Collaborate with cross-functional engineering teams to address scalability, reliability, and operational challenges.
• Take ownership of assigned projects, delivering features and improvements with support from senior engineers.
• Participate in code reviews, debugging, testing, and continuous improvement initiatives.
• Learn and apply technologies across databases, streaming platforms, cloud infrastructure, and data orchestration systems.

The ideal candidate is a motivated software engineer with strong programming fundamentals and an interest in backend systems, infrastructure, and large-scale data platforms. This role is suited for someone eager to learn, solve complex problems, and grow within an experienced engineering team.

• 1+ years of professional software engineering experience, preferably in backend development, distributed systems, or infrastructure.
• Strong programming skills in Python, Go, or a similar programming language through professional, academic, or personal projects.
• Solid understanding of software engineering fundamentals, including data structures, clean code practices, testing, and debugging.
• Interest in learning cloud platforms such as AWS, GCP, or Azure, as well as modern data technologies.
• Familiarity or interest in databases, streaming systems, orchestration tools, and data-intensive applications.
• Experience with technologies such as PostgreSQL, OpenSearch/Elasticsearch, Redis, or RocksDB is a plus.
• Exposure to large-scale systems, cloud environments, or data platforms is preferred.
• Strong problem-solving abilities, curiosity, communication skills, and willingness to learn.
• Ability to work effectively both independently and collaboratively within a team.

• Competitive base salary range of $122,400 - $176,000 USD, depending on experience, skills, qualifications, and location.
• Eligibility for additional compensation opportunities, including bonus or incentive compensation.
• Equity participation opportunities.
• Comprehensive benefits package.
• Fully remote work opportunity for candidates based in the United States.
• Opportunity to work on impactful technology projects within an innovative engineering environment.
• Supportive and collaborative culture with opportunities for mentorship and career growth.
• Ability to contribute to the development of advanced AI and data infrastructure solutions.