Senior Software Engineer, Connectivity & API Transformation
$139.68k - $174.6kjobgether
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Connectivity & API Transformation based in United States.
This is a senior engineering role focused on the connectivity and API foundations of a large-scale WebOps platform. You’ll design and evolve the interfaces, networking patterns, and orchestration systems that connect services across the platform. The role combines hands-on Go development with distributed systems, cloud infrastructure, API architecture, and legacy modernization. You’ll work on systems supporting hundreds of thousands of websites, billions of monthly page views, and large-scale containerized workloads. Your technical decisions will establish patterns and contracts that other engineering teams rely on. You’ll also contribute to production reliability, technical standards, mentorship, and the continued evolution of the platform.
Accountabilities
Build and evolve a unified federated GraphQL API and the Go-based subgraphs powering customer-facing dashboards and public APIs.
Shape service connectivity through VPC and network architecture, service discovery, authentication, and internal traffic standards.
Decompose legacy Python systems into well-defined modern services while managing the associated Cassandra data layer, including replication, backup, and disaster recovery.
Design and operate workflow orchestration at scale using cloud-native workflows, Pub/Sub-driven execution, and Go services.
Establish API standards across GraphQL, gRPC, and REST, serving as a technical resource for engineering initiatives across the organization.
Own production systems by defining and monitoring SLOs, resolving incidents, and balancing reliability with delivery speed.
Participate in engineering and alert-response on-call rotations and support live production environments.
Raise engineering quality through code reviews, architectural feedback, technical guidance, and mentorship.
Requirements
Significant professional experience building and operating production services with Go, together with the ability to work effectively in polyglot environments involving Python and/or Rust.
Proven experience designing APIs used by other engineering teams, including sound judgment around schemas, versioning, compatibility, and API evolution across GraphQL, gRPC, or REST.
Strong experience with large-scale, high-traffic distributed systems and the design of reliable, scalable production services.
Experience decomposing monolithic applications or incrementally modernizing legacy systems while maintaining production continuity.
Working knowledge of cloud networking fundamentals, including VPCs, DNS, load balancing, and service-to-service authentication.
Experience with Kubernetes, Terraform, CI/CD, and modern release engineering practices.
Experience with a major cloud provider; GCP experience is particularly relevant.
Familiarity with observability platforms and practices, including Grafana Cloud, Prometheus, and OpenTelemetry.
Experience supporting production systems and participating in on-call rotations.
Strong communication and collaboration skills, with the ability to clearly explain technical decisions while incorporating diverse perspectives.
Nice-to-have experience includes GraphQL Federation, federation gateways or routers, schema registries, Rust, Cassandra, stateful production databases, service meshes, private networking, GCP Workflows, Pub/Sub, Cloud Run, AlloyDB, MySQL, Redis, Docker, CircleCI, GitHub Actions, Vault, WordPress, or Drupal.
Visa sponsorship is not currently available for this position.
Benefits
Annual salary of $139,680–$174,600 USD , plus bonus and equity.
Industry-competitive compensation and an equity plan.
Paid time off, paid sick leave, and 11 paid company holidays.
Full medical coverage, including extended health care, dental, and vision.
Top-of-the-line equipment.
Monthly wellness and reading allowance.
Access to LinkedIn Learning for continued professional development.
Team and company-wide events and activities designed to support collaboration, learning, and connection.
Remote work environment with opportunities to contribute to a distributed engineering organization.
An inclusive workplace committed to equal opportunity and reasonable accommodations throughout the hiring process.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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