As a Senior Software Engineer, you will design and evolve distributed backend systems, own end-to-end backend features, build APIs, and apply engineering best practices while mentoring teammates.
Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including:
Trust. We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.
Diversity. Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.
Value. Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.
Ownership. We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.
Mutual success. We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.
This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.
As a Senior Software Engineer, you will make a major impact on Traackr’s scalable influencer marketing platform by designing and evolving our distributed backend systems: data processing pipelines, API integrations, and product-facing services. You’ll own work end-to-end, from framing the problem and defining success metrics to shipping safely and operating reliably in production. In an AI-enabled engineering era, you’ll use GenAI tools to accelerate delivery, and apply an experimentation mindset to validate outcomes: versioning and evaluating changes (including prompts/config), measuring impact with data, and building observability and regression checks that keep quality high as systems evolve.
Responsibilities
- Own backend features end-to-end: discovery, design, implementation, rollout, and long-term reliability/operations
- Design and evolve distributed systems (services, pipelines, data stores) with strong performance, scalability, and resiliency
- Build and maintain APIs (REST/GraphQL, where relevant) and data access patterns supporting analytics and search use cases
- Establish strong engineering fundamentals: code reviews, testing strategies, incident readiness, and operational excellence
- Apply an experimentation-first approach: define hypotheses, define success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders.
- Bring evaluation discipline to AI-assisted work: treat prompts/configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift (the same way you would for performance or correctness)
- Use GenAI productively and responsibly (for coding assistance, debugging, and design reviews), while maintaining high standards for correctness, security, and privacy.
- Mentor teammates and raise the bar through documentation, pairing, and lightweight coaching on best practices
Requirements
- 5+ years building and scaling backend systems (distributed systems experience expected at senior level)
- Strong JVM fundamentals; ability to troubleshoot and performance-tune production services
- Production experience with Kotlin (functional/reactive patterns a strong plus)
- Strong SQL + data modeling skills (PostgreSQL; familiarity with jOOQ or similar)
- Experience with event-driven architectures (Kafka) and cloud deployment on AWS; containers (Docker/Kubernetes)
- Strong communication skills and ability to collaborate across functions
- Comfort with AI-assisted engineering and the discipline to validate outcomes (tests, metrics, evaluation) rather than trusting outputs blindly
Nice to have
- Search/retrieval systems (Elasticsearch/Lucene)
- GraphQL
- Workflow/orchestration (Argo/Airflow), Terraform/Ansible, Grafana dashboards
- Working with external social APIs (TikTok/YouTube/Facebook)
- Data-driven systems at scale
We use GenAI to accelerate development while maintaining a high code quality standard. For any product behavior driven by data or AI—prompts, models, scoring/ranking, heuristics—we rely on disciplined evaluation (metrics, regression suites, and monitoring) to ensure changes are reliable and measurable.
Benefits
• Competitive Salary
• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
• Coworking Office Subscription for Collaborative Spaces
• Health, Dental, and Life Insurance Coverage*
• Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
• Paid Parental Leave to Support Quality Time with Your Loved Ones
• Career Development, including Internal and External Training Opportunities
Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges. Your zone's specific pay range is dependent on your home location. We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details.
Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region.
Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines.
Unsolicited resumes
Traackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through our website. Traackr will not pay any fees to any third-party agency or company unless there is a signed agreement with Traackr.
Privacy
Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy.
All questions, comments, and requests regarding data processing at Traackr should be addressed to [email protected].
Top Skills
Ansible
AWS
Docker
Elasticsearch
Grafana
GraphQL
Kafka
Kotlin
Kubernetes
Postgres
Terraform
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Lead diverse technology projects, collaborating with product managers to deliver cloud-based solutions and mentoring developers. Drive technological transformation at Capital One Shopping.
Top Skills:
AWSCSSDockerGoHTMLJavaJavaScriptKubernetesPythonSQLTypescript
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Security Engineer, assess and implement security measures for software supply chains, guide engineers on security risks, and manage security initiatives.
Top Skills:
Argo CdArtifactoryBitbucketDatadogGitGoJavaScriptJenkinsLinuxLogscalePrometheusPythonS3ShellSplunkUnix
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.
Top Skills:
AWSAzureAzuremlCi/Cd ToolsDatabricksGCPPysparkPythonSnowflakeSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
